Inspection Engineer Jobs in Lebanon

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>The Company:</strong></p><br><p>Sucafina is the leading sustainable Farm to Roaster coffee company, with a family tradition in commodities that stretches back to 1905. Today, with more than 1,400 employees in 34 countries, we help stakeholders worldwide to find the perfect coffee solutions. We embed technology, innovation, and sustainability throughout the supply chain, creating shared value for all by Investing in Farmers, Caring for People, and Protecting Our Planet. For more information, visit www.sucafina.com.</p><br><p><strong>What are we looking for:</strong></p><br><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><br><p><strong>What we offer:</strong></p><br><p>We offer within our pleasant family environment, great opportunities to learn and grow, we offer challenges and exposure to multicultural environments, on-merit base compensation, and free coffee around the clock!</p><br><br>Job Description<br><p><strong>Role Overview:</strong></p><br><p>The Microsoft Fabric Data Engineer is responsible for designing, building, optimizing, and operating enterprise-scale data platforms on Microsoft Fabric. This role focuses on data ingestion, transformation, storage, governance, automation, and platform reliability using OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Spark technologies.</p><br><p>The position is heavily focused on Data Engineering and Platform Engineering rather than reporting and dashboard development. The successful candidate will build scalable, governed, and high-performance data solutions that support analytics, AI, operational reporting, and business intelligence initiatives across the organization.</p><br><p>This role is primarily focused on Data Engineering, Data Platform Development, and Microsoft Fabric architecture. Candidates whose experience is primarily centered around Power BI report development, dashboard creation, or data visualization without substantial Data Engineering experience may not be a fit for this position.</p><br><p><strong>Key Responsibilities</strong></p><br><p><strong>1. Data Engineering &amp; Platform Development</strong></p><br><ul><li>Design and implement enterprise-scale Lakehouse architectures using OneLake and Delta Lake.</li><li>Build and maintain robust batch, incremental, CDC, and near real-time data ingestion pipelines.</li><li>Develop scalable ETL/ELT solutions using Fabric Data Pipelines, Dataflows Gen2, PySpark, and SQL.</li><li>Implement and manage Medallion Architecture (Bronze, Silver, Gold).</li><li>Develop reusable and metadata-driven ingestion and transformation frameworks.</li><li>Integrate data from ERP systems, SAP, REST APIs, SQL Server, Dataverse, and other enterprise applications.</li><li>Design and maintain enterprise data models supporting analytical and operational workloads.</li></ul><p><strong>2. Fabric Engineering &amp; Optimization</strong></p><br><ul><li>Develop and optimize Fabric Lakehouses and Data Warehouses.</li><li>Build advanced Notebook-based transformations utilizing PySpark and Spark SQL.</li><li>Implement Delta Lake capabilities including:<ul><li>Merge/Upsert</li><li>Change Data Feed (CDF)</li><li>Time Travel</li><li>Schema Evolution</li><li>Optimize</li><li>Vacuum</li></ul></li><li>Design scalable storage, partitioning, and file management strategies within OneLake.</li><li>Optimize Spark workloads and Data Warehouse performance.</li></ul><p><strong>3. Performance, Reliability &amp; Monitoring</strong></p><br><ul><li>Tune large-scale Spark and SQL workloads.</li><li>Implement monitoring, alerting, and operational dashboards using Fabric Monitoring Hub and Metrics.</li><li>Conduct performance testing and scalability assessments.</li><li>Troubleshoot pipeline failures and platform performance bottlenecks.</li><li>Define and monitor SLAs for critical data assets and pipelines.</li><li>Ensure high availability and operational excellence across data workloads.</li></ul><p><strong>4. DevOps &amp; Platform Automation</strong></p><br><ul><li>Implement CI/CD using Fabric Git Integration and Deployment Pipelines.</li><li>Build automated deployment processes across Development, Test, and Production environments.</li><li>Develop automated testing frameworks for data quality, schema validation, and regression testing.</li><li>Manage environment configurations, secrets, and deployment parameters.</li><li>Utilize Azure DevOps or GitHub Actions to support release automation and governance.</li><li>Define rollback, release management, and change control processes.</li></ul><p><strong>5. Data Quality, Governance &amp; Security</strong></p><br><ul><li>Implement automated data quality validation frameworks.</li><li>Develop reconciliation, completeness, and consistency checks.</li><li>Manage data lineage, metadata, and documentation standards.</li><li>Implement sensitivity labels, access controls, auditing, and compliance requirements.</li><li>Ensure adherence to organizational standards for governance, security, retention, and PII handling.</li><li>Manage workspace permissions, Managed Identities, RLS, and CLS where required.</li></ul><p><strong>6. Technical Leadership &amp; Collaboration</strong></p><br><ul><li>Translate business requirements into scalable technical solutions.</li><li>Collaborate with Data Architects, Data Analysts, Integration Engineers, and business stakeholders.</li><li>Lead engineering best practices and platform standards.</li><li>Mentor junior engineers and support knowledge-sharing initiatives.</li><li>Produce architecture documentation and technical design specifications.</li></ul><p>Drive continuous improvement of the data platform and engineering practices.</p><br><br>Qualifications<br><p><strong>Qualifications and Experience:</strong></p><br><ul><li>Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>Minimum 5 years of experience in Data Engineering.</li><li>Minimum 2 years of hands-on experience with Microsoft Fabric, Azure Data Engineering, Databricks, or modern Lakehouse platforms.</li><li>Proven experience designing and building enterprise-grade data platforms.</li></ul><p><strong>Required Technical Skills</strong></p><br><p><strong>Microsoft Fabric</strong></p><br><ul><li>OneLake</li><li>Lakehouse</li><li>Delta Lake</li><li>Fabric Data Warehouse</li><li>Data Pipelines</li><li>Dataflows Gen2</li><li>Notebooks</li><li>Monitoring Hub</li><li>Deployment Pipelines</li><li>Git Integration</li></ul><p><strong>Data Engineering</strong></p><br><ul><li>PySpark</li><li>Spark SQL</li><li>SQL / T-SQL</li><li>ETL / ELT Development</li><li>Data Modeling</li><li>Incremental Processing</li><li>Change Data Capture (CDC)</li><li>Data Quality Frameworks</li><li>Medallion Architecture</li></ul><p><strong>Performance Optimization</strong></p><br><ul><li>Delta Lake Optimization</li><li>Partitioning Strategies</li><li>File Management</li><li>Query Optimization</li><li>Spark Performance Tuning</li><li>Workload Management</li></ul><p><strong>Integration</strong></p><br><ul><li>REST APIs</li><li>SQL Server</li><li>SAP</li><li>Azure Storage</li><li>Dataverse</li><li>Enterprise Application Integration</li></ul><p><strong>DevOps</strong></p><br><ul><li>Git</li><li>Azure DevOps</li><li>GitHub Actions</li><li>YAML Pipelines</li><li>CI/CD</li><li>Automated Testing</li></ul><p><strong>Security &amp; Governance</strong></p><br><ul><li>Row-Level Security (RLS)</li><li>Column-Level Security (CLS)</li><li>Sensitivity Labels</li><li>Managed Identities</li><li>Data Lineage</li><li>Audit and Compliance Controls</li></ul><br>Additional Information<br><p><strong>Preferred Qualifications</strong></p><br><ul><li>Microsoft Fabric DP-600 Certification.</li><li>DP-203 Azure Data Engineer Associate Certification.</li><li>Experience with Microsoft Purview.</li><li>Experience with Eventstream and Real-Time Intelligence.</li><li>Experience with Azure Databricks.</li><li>Exposure to AI and Machine Learning data engineering workloads.</li><li>Experience implementing enterprise data governance frameworks.</li><li>Familiarity with Infrastructure as Code (Terraform/Bicep).</li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a AI Developer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: The AI Automation Engineer is responsible for designing, deploying and improving AI agents and agentic workflows that automate routine operational work, augment teams, and improve speed, quality and scalability across the business.<br> This role is not about building disconnected experiments.<br> It is about delivering real workflow change in priority areas, initially focused on Support, Sales, Professional Services and internal operational workflows.<br> The role works closely with functional leaders and frontline teams to identify high value use cases, redesign workflows, deploy safe and useful agents, and ensure adoption in day-to-day operations.<br> The AI Automation Engineer helps shift repetitive, rules based and data intensive work to AI agents, while preserving human ownership of judgment, sensitive customer interactions, escalations, quality assurance, exception handling and continuous knowledge improvement.<br> What you will do Design and deploy AI agents Design and deploy AI agents that support operational work, including support triage, internal workflow automation, sales support, onboarding tasks, knowledge handling, reporting and analysis Build agents and workflows that integrate with CRM, ERP, internal tools, SaaS platforms and APIs Use multi step workflows, tool using agents, decision logic and orchestration patterns where appropriate Move quickly from idea to pilot to production while maintaining clear standards for quality and reliability Design and implement AI agents and workflow automations that support PDLC activities such as requirements drafting, backlog preparation, technical research, code generation, test generation, documentation, defect triage, release support, and post release analysis Identify manual or repetitive PDLC tasks and convert them into scalable AI assisted workflows, including integrations with tools such as Jira, Confluence, GitHub, service platforms, and internal systems Partner with Product, Engineering, QA, Support, and other stakeholders to pilot, refine, and scale agentic PDLC workflows across teams Redesign business workflows Identify high value automation opportunities with functional leaders and operators Redesign workflows so repetitive and rules-based work is handled by AI wherever safe and practical Support the shift to AI first intake, triage, knowledge retrieval, simple response handling and case preparation in service operations Help teams redesign work around a clear human and agent division of labour Help establish safe and scalable standards for AI use across the PDLC, including review points, escalation paths, auditability, fallback handling, and quality controls for AI generated artefacts Governance, quality and evaluation Work within approved tooling standards, data and security guardrails, and design standards for agents and evaluation Establish monitoring, fallback handling, escalation logic, prompt and workflow controls, and human review mechanisms Test workflows with real users and real operational scenarios before scaling Measure agent quality, workflow success, containment, handoff quality and operational value Continuously improve workflows based on usage data, user feedback and service outcomes Adoption and enablement Partner with functional leaders and frontline teams to support rollout and adoption Document new ways of working and help train users on how to work effectively with AI agents Surface workflow risks, resistance points and improvement opportunities Contribute reusable prompts, components, patterns and playbooks to the central AI capability Cross functional delivery Collaborate with Product, Engineering, Support, Sales and Professional Services teams Help prioritise use cases based on measurable business value, feasibility and operational readiness Support the central AI capability with value tracking, reporting and continuous learning across initiatives What success looks like Reduction in manual work and process cycle time Improved support response times and service leverage Workflow success rate and agent task completion quality Ticket containment or deflection where relevant Handoff quality for escalated or human reviewed work User adoption of AI enabled workflows Hours saved and team capacity created Contribution to service, productivity and customer outcomes Reduced manual effort across PDLC activities, faster movement from idea to release, improved quality of delivery artefacts, and stronger adoption of AI enabled workflows across Product and Engineering teams.<br> Proven track record of building products, tools, workflows, automations, startups, or side projects that went live and delivered measurable value Strong working knowledge of AI and machine learning tools, large language models and agent frameworks Experience building AI agents, workflow automations or AI powered internal tools Experience designing or improving workflows across software or product delivery lifecycles, including the use of AI tools, agents, or automations to improve speed, quality, and operational leverage Ability to go from zero to functional prototype quickly Strong systems thinking and comfort working across tools, processes and teams Comfort with ambiguity and the ability to help define the problem as well as the solution Bias toward action, with discipline around quality, evaluation and operational safety Ability to work directly with business stakeholders and translate operational pain points into practical AI solutions Nice to have Experience building AI agents or service automation workflows Experience in hospitality, retail, vertical SaaS, or B2B software environments Experience working across multiple product lines, business units or operational functions Familiarity with support operations, CRM workflows, or Professional Services delivery models Experience with analytics, reporting and operational performance measurement A bachelor’s degree in Artificial Intelligence, Software Engineering, Computer Science, Robotics, Mechanical Engineering or a related discipline</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>The Company:</strong></p><br><p>Sucafina is the leading sustainable Farm to Roaster coffee company, with a family tradition in commodities that stretches back to 1905. Today, with more than 1,400 employees in 34 countries, we help stakeholders worldwide to find the perfect coffee solutions. We embed technology, innovation, and sustainability throughout the supply chain, creating shared value for all by Investing in Farmers, Caring for People, and Protecting Our Planet. For more information, visit www.sucafina.com.</p><br><p><strong>What are we looking for:</strong></p><br><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><br><p><strong>What we offer:</strong></p><br><p>We offer within our pleasant family environment, great opportunities to learn and grow, we offer challenges and exposure to multicultural environments, on-merit base compensation, and free coffee around the clock!</p><br><br>Job Description<br><p><strong>Role Overview:</strong></p><br><p>The Microsoft Fabric Data Engineer is responsible for designing, building, optimizing, and operating enterprise-scale data platforms on Microsoft Fabric. This role focuses on data ingestion, transformation, storage, governance, automation, and platform reliability using OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Spark technologies.</p><br><p>The position is heavily focused on Data Engineering and Platform Engineering rather than reporting and dashboard development. The successful candidate will build scalable, governed, and high-performance data solutions that support analytics, AI, operational reporting, and business intelligence initiatives across the organization.</p><br><p>This role is primarily focused on Data Engineering, Data Platform Development, and Microsoft Fabric architecture. Candidates whose experience is primarily centered around Power BI report development, dashboard creation, or data visualization without substantial Data Engineering experience may not be a fit for this position.</p><br><p><strong>Key Responsibilities</strong></p><br><p><strong>1. Data Engineering &amp; Platform Development</strong></p><br><ul><li>Design and implement enterprise-scale Lakehouse architectures using OneLake and Delta Lake.</li><li>Build and maintain robust batch, incremental, CDC, and near real-time data ingestion pipelines.</li><li>Develop scalable ETL/ELT solutions using Fabric Data Pipelines, Dataflows Gen2, PySpark, and SQL.</li><li>Implement and manage Medallion Architecture (Bronze, Silver, Gold).</li><li>Develop reusable and metadata-driven ingestion and transformation frameworks.</li><li>Integrate data from ERP systems, SAP, REST APIs, SQL Server, Dataverse, and other enterprise applications.</li><li>Design and maintain enterprise data models supporting analytical and operational workloads.</li></ul><p><strong>2. Fabric Engineering &amp; Optimization</strong></p><br><ul><li>Develop and optimize Fabric Lakehouses and Data Warehouses.</li><li>Build advanced Notebook-based transformations utilizing PySpark and Spark SQL.</li><li>Implement Delta Lake capabilities including:<ul><li>Merge/Upsert</li><li>Change Data Feed (CDF)</li><li>Time Travel</li><li>Schema Evolution</li><li>Optimize</li><li>Vacuum</li></ul></li><li>Design scalable storage, partitioning, and file management strategies within OneLake.</li><li>Optimize Spark workloads and Data Warehouse performance.</li></ul><p><strong>3. Performance, Reliability &amp; Monitoring</strong></p><br><ul><li>Tune large-scale Spark and SQL workloads.</li><li>Implement monitoring, alerting, and operational dashboards using Fabric Monitoring Hub and Metrics.</li><li>Conduct performance testing and scalability assessments.</li><li>Troubleshoot pipeline failures and platform performance bottlenecks.</li><li>Define and monitor SLAs for critical data assets and pipelines.</li><li>Ensure high availability and operational excellence across data workloads.</li></ul><p><strong>4. DevOps &amp; Platform Automation</strong></p><br><ul><li>Implement CI/CD using Fabric Git Integration and Deployment Pipelines.</li><li>Build automated deployment processes across Development, Test, and Production environments.</li><li>Develop automated testing frameworks for data quality, schema validation, and regression testing.</li><li>Manage environment configurations, secrets, and deployment parameters.</li><li>Utilize Azure DevOps or GitHub Actions to support release automation and governance.</li><li>Define rollback, release management, and change control processes.</li></ul><p><strong>5. Data Quality, Governance &amp; Security</strong></p><br><ul><li>Implement automated data quality validation frameworks.</li><li>Develop reconciliation, completeness, and consistency checks.</li><li>Manage data lineage, metadata, and documentation standards.</li><li>Implement sensitivity labels, access controls, auditing, and compliance requirements.</li><li>Ensure adherence to organizational standards for governance, security, retention, and PII handling.</li><li>Manage workspace permissions, Managed Identities, RLS, and CLS where required.</li></ul><p><strong>6. Technical Leadership &amp; Collaboration</strong></p><br><ul><li>Translate business requirements into scalable technical solutions.</li><li>Collaborate with Data Architects, Data Analysts, Integration Engineers, and business stakeholders.</li><li>Lead engineering best practices and platform standards.</li><li>Mentor junior engineers and support knowledge-sharing initiatives.</li><li>Produce architecture documentation and technical design specifications.</li></ul><p>Drive continuous improvement of the data platform and engineering practices.</p><br><br>Qualifications<br><p><strong>Qualifications and Experience:</strong></p><br><ul><li>Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>Minimum 5 years of experience in Data Engineering.</li><li>Minimum 2 years of hands-on experience with Microsoft Fabric, Azure Data Engineering, Databricks, or modern Lakehouse platforms.</li><li>Proven experience designing and building enterprise-grade data platforms.</li></ul><p><strong>Required Technical Skills</strong></p><br><p><strong>Microsoft Fabric</strong></p><br><ul><li>OneLake</li><li>Lakehouse</li><li>Delta Lake</li><li>Fabric Data Warehouse</li><li>Data Pipelines</li><li>Dataflows Gen2</li><li>Notebooks</li><li>Monitoring Hub</li><li>Deployment Pipelines</li><li>Git Integration</li></ul><p><strong>Data Engineering</strong></p><br><ul><li>PySpark</li><li>Spark SQL</li><li>SQL / T-SQL</li><li>ETL / ELT Development</li><li>Data Modeling</li><li>Incremental Processing</li><li>Change Data Capture (CDC)</li><li>Data Quality Frameworks</li><li>Medallion Architecture</li></ul><p><strong>Performance Optimization</strong></p><br><ul><li>Delta Lake Optimization</li><li>Partitioning Strategies</li><li>File Management</li><li>Query Optimization</li><li>Spark Performance Tuning</li><li>Workload Management</li></ul><p><strong>Integration</strong></p><br><ul><li>REST APIs</li><li>SQL Server</li><li>SAP</li><li>Azure Storage</li><li>Dataverse</li><li>Enterprise Application Integration</li></ul><p><strong>DevOps</strong></p><br><ul><li>Git</li><li>Azure DevOps</li><li>GitHub Actions</li><li>YAML Pipelines</li><li>CI/CD</li><li>Automated Testing</li></ul><p><strong>Security &amp; Governance</strong></p><br><ul><li>Row-Level Security (RLS)</li><li>Column-Level Security (CLS)</li><li>Sensitivity Labels</li><li>Managed Identities</li><li>Data Lineage</li><li>Audit and Compliance Controls</li></ul><br>Additional Information<br><p><strong>Preferred Qualifications</strong></p><br><ul><li>Microsoft Fabric DP-600 Certification.</li><li>DP-203 Azure Data Engineer Associate Certification.</li><li>Experience with Microsoft Purview.</li><li>Experience with Eventstream and Real-Time Intelligence.</li><li>Experience with Azure Databricks.</li><li>Exposure to AI and Machine Learning data engineering workloads.</li><li>Experience implementing enterprise data governance frameworks.</li><li>Familiarity with Infrastructure as Code (Terraform/Bicep).</li></ul><br><br> </div>

<p>Under the supervision of UNICEF, the Biomedical Engineer Consultant will provide technical expertise to support the planning, procurement, installation, commissioning, and lifecycle management of medical equipment and related supplies for primary healthcare centres (PHCCs), hospitals, and other health facilities supported by UNICEF. The consultant will undertake equipment and infrastructure assessments, support the identification and selection of appropriate technologies, develop technical specifications and tender documentation, and provide technical advice throughout procurement processes, including bid evaluation and contract implementation.</p><p><br></p><p>The consultant will also assess facility readiness for equipment installation, recommend necessary infrastructure modifications, oversee installation and commissioning activities, verify compliance with applicable standards, and support healthcare personnel capacity building on equipment operation and maintenance. The assignment will be undertaken on an as-needed basis, with the scope and duration of each engagement determined by the specific requirements of individual projects and procurement activities.</p><p><br></p><p>To qualify as an advocate for every child you will have…&nbsp;</p><p><br></p><p>Minimum requirements:</p><p><br></p><p>Education: Advanced university degree in Biomedical Engineering, Clinical Engineering, Medical Engineering, or a related field from a recognized institution. Additional certifications or specialized training in medical equipment management, health facility planning, procurement, or healthcare technology assessment will be considered an asset.&nbsp;</p><p>Work Experience:&nbsp;</p><p>A minimum of 10 years of progressively responsible professional experience in biomedical engineering, including medical equipment planning, specification development, procurement support, installation, commissioning, maintenance, and lifecycle management in healthcare settings is required.</p><p>Demonstrated experience supporting procurement processes, technical evaluations, and infrastructure assessments for health facilities is required.</p><p>Previous experience working with UNICEF, UN agencies, international organizations, or development partners will be considered a strong asset.</p><p>Strong knowledge of biomedical equipment standards, healthcare technology management, and procurement best practices.</p><p>Demonstrated experience working in both primary healthcare (PHC) and hospital settings especially NICUs is highly desirable.</p><p>Experience supporting health facility rehabilitation, infrastructure assessments, and capacity-building initiatives is an asset.</p><p>Language Requirements: Excellent analytical, report-writing, and communication skills in English are required, with knowledge of Arabic considered an advantage.</p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<p>We are seeking a Civil/Structural Design Engineer to join our team, specializing in the design and analysis of steel structures systems. The ideal candidate will be responsible for performing structural calculations, developing engineering designs, and ensuring compliance with industry standards and project requirements.</p><p>This is a remote position.</p><p>Key Responsibilities:</p><ul><li>Design steel structures, including equipment platforms, pipe rafts, tensile membrane support frames, mezzanines, and canopies.</li><li>Prepare and review structural calculations, reports, and technical documentation to support project deliverables.</li><li>Develop Excel spreadsheets and/or Mathcad worksheets for the analysis and design of various structural components, ensuring strict adherence to industry codes (IBC, ASCE 7, AISC 360, ACI 318, etc.).</li><li>Perform hand calculations for structural analysis and design, including but not limited to seismic design, wind loading, and other relevant load cases, ensuring compliance with applicable design codes and standards.</li><li>Develop and review engineering drawings and specifications in AutoCAD, ensuring accuracy, clarity, and constructability.</li><li>Conduct load analysis, wind, and seismic design calculations in accordance with industry standards (IBC, ASCE 7, AISC 360, ACI 318, etc.).</li><li>Work closely with CAD drafters to ensure structural drawings align with design calculations and project specifications.</li><li>Stay up to date with advancements in structural engineering, industry trends, and software applications to improve design efficiency and accuracy.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Read all required qualifications and apply only if qualified.</p><p>Application Window: August 2026 November 2026</p><p>---HANDS ON STEEL DESIGN EXPERIENCE IS REQUIRED---</p><p>---MUST BE ABLE TO RUN MANUAL HAND CALCULATIONS---</p><p>We will be accepting applications August 2026 through November 2026.</p><p>Qualifications &amp; Skills:</p><ul><li>Strong understanding of structural analysis methods, load paths, and material behavior.</li><li>Familiarity with national codes and standards (IBC, ASCE 7, AISC 360, ACI 318, etc.).</li><li>Ability to perform detailed structural calculations and generate engineering reports.</li><li>Steel Design experience is required.</li><li>Excellent problem-solving skills and the ability to handle multiple projects simultaneously.</li><li>Strong communication and teamwork skills</li></ul><p>Education and Experience:</p><ul><li>Bachelor s or Master s degree in Civil Engineering.</li><li>1-2 years of hands-on steel design experience.</li></ul>

<p>MAIN DUTIES AND RESPONSIBILITIES:</p><p>Conduct regular quality inspections on sites, projects, installations, and technical works to ensure compliance with approved standards and specifications.</p><p>Monitor installation activities and verify that work is executed according to drawings, technical requirements, and company procedures.</p><p>Perform site visits to check workmanship, materials, safety practices, and overall project quality.</p><p>Review project documents, technical drawings, BOQs, specifications, and inspection requirements.</p><p>Prepare quality inspection reports, site observation reports, and non-conformance reports when required.</p><p>Identify quality issues, document findings, and follow up with responsible teams to implement corrective actions.</p><p>Coordinate with project managers, engineers, technicians, suppliers, and subcontractors to resolve quality-related issues.</p><p>Verify incoming materials, equipment, and products according to specifications before installation or use.</p><p>Perform random checks on completed works, installations, and delivered projects before final handover.</p><p>Ensure that corrective and preventive actions (CAPA) are properly implemented and closed.</p><p>Maintain quality records, inspection checklists, reports, and project documentation.</p><p>Assist in developing and improving quality control procedures, checklists, and internal standards.</p><p>Support engineering and operations teams in improving installation methods and reducing repeated issues.</p><p>Follow up on customer complaints related to technical quality and coordinate solutions with responsible departments.</p><p>Conduct audits on operational processes, warehouses, installations, and service activities when required.</p><p>Ensure compliance with company policies, safety procedures, and technical standards.</p><p>Support project teams during testing, commissioning, and handover stages.</p><p>Coordinate with suppliers and manufacturers regarding technical quality issues and product concerns.</p><p>Assist in preparing quality presentations, reports, and improvement recommendations for management.</p><p>Monitor field teams' performance and provide feedback regarding quality standards.</p><p>Perform any additional quality-related tasks assigned by management.</p><p><strong>Desired Candidate Profile</strong></p><p>REGULATORY REQUIREMENTS, EDUCATION, EXPERIENCE, AND SKILLS:</p><p>Bachelor s degree in Engineering (Electrical, Mechanical, Civil, Industrial) or related technical field.</p><p>Minimum 2 3 years of experience in Quality Control, Site Engineering, Project Coordination, or Technical Inspection.</p><p>Previous experience working in an engineering company, construction company, contracting company, or technical projects is highly preferred.</p><p>Experience with site inspections, installation supervision, and project documentation is an advantage.</p><p>Good understanding of technical drawings, specifications, BOQs, and project requirements.</p><p>Knowledge of quality standards, inspection procedures, and reporting methods.</p><p>Strong attention to detail and ability to identify technical issues.</p><p>Good problem-solving and analytical skills.</p><p>Ability to prepare professional reports and documentation.</p><p>Strong communication skills with engineers, technicians, suppliers, and contractors.</p><p>Ability to work on-site and coordinate with multiple teams.</p><p>Good knowledge of Microsoft Office applications (Excel, Word, PowerPoint).</p><p>Familiarity with ERP, project management, ticketing, or documentation systems is an advantage.</p><p>Fluency in Arabic and English; French is an advantage.</p><p>Ability to work under pressure and manage multiple projects simultaneously.</p>

<p><br></p><p>What you ll be doing: Design, train, and optimize AI models specifically for real-time content summarization and recommendation. Implement advanced Natural Language Processing (NLP) techniques to enhance conversational UI and predictive interactions. Apply Retrieval-Augmented Generation (RAG) for intelligent response generation from dynamic content sources. Fine-tune transformer-based models (e.g., BERT, T5) using domain-specific datasets to achieve optimal performance. Collaborate closely with backend and data engineering teams to streamline model deployment within a production-grade environment. Ensure that brand tone and content accuracy are meticulously maintained throughout all AI-generated outputs.</p><p>Preferred Qualifications: Understanding of branding, tone, and the user experience (UX) implications in AI-generated content. Experience working with headless CMS (Content Management Systems) and structured content datasets. Knowledge of ethical AI principles and prompt engineering best practices.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p>Who we re looking for: We are seeking an experienced AI/ML Engineer with a minimum of 5 years of expertise to join our innovative technology team. In this pivotal role, you will be responsible for designing, training, and optimizing AI models, with a strong focus on Natural Language Processing (NLP) for real-time content summarization, recommendation, and conversational UIs. You will implement cutting-edge techniques like Retrieval-Augmented Generation (RAG) and fine-tune transformer-based models, collaborating closely with backend and data engineering teams to ensure seamless deployment and maintenance of brand tone and content accuracy in all AI outputs.</p><p>What you ll need: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. 5 7 years of progressive experience in AI/ML engineering, with a strong and proven focus on Natural Language Processing (NLP). Strong practical experience with leading Machine Learning frameworks such as TensorFlow, PyTorch, and Hugging Face. Experience with LangChain and LangGraph. Experience with MLOps pipelines and platforms like AWS SageMaker, Azure AI Search, or similar. Solid understanding of Large Language Models (LLMs), embeddings, and semantic search technologies. Expert proficiency in Python and robust data handling libraries such as Pandas and NumPy. Familiarity with deploying AI models via microservices or APIs.</p>

<p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio. We're looking for a DevOps engineer with a strong database background. The right candidate combines solid AWS infrastructure experience with a DBA mindset someone who is proactive about performance, cost, and reliability without needing to be prompted. This is a hands-on role with real ownership across multiple deployment targets (Managed Services, SaaS, on-prem). Priority for AI enabled DevOps engineers who leverage agentic workflows in their day-to-day work.</p><h3>Key Responsibilities:</h3><ul><li>Manage and optimise database infrastructure across AWS (ECS/EC2, EKS)</li><li>Drive query performance tuning, indexing, connection pooling, and replication management</li><li>Own infrastructure-as-code using TypeScript CDK; rare manual console changes</li><li>Identify and execute cost optimisation opportunities across RDS/Aurora, storage, and compute</li><li>Build automation tooling in Bash and TypeScript for backup validation, failover testing, and capacity planning</li><li>Collaborate with engineering teams on schema design and data access patterns ahead of implementation</li><li>Maintain CI/CD pipelines for infrastructure changes across all deployment targets</li></ul><h3>3+ years in a DevOps, platform, or infrastructure role with a strong database focus</h3><ul><li>Production-level experience with PostgreSQL (query plans, vacuuming, partitioning, replication)</li><li>Hands-on AWS experience with RDS, Aurora, and at least one of ECS or EKS</li><li>Infrastructure-as-code proficiency; TypeScript CDK preferred, Terraform or Pulumi considered</li><li>Proficient in Bash scripting</li><li>Agentic AI workflows</li></ul><h3>TECH STACK</h3><ul><li>PostgreSQL</li><li>SQL Server</li><li>AWS RDS/Aurora</li><li>ECS/EC2</li><li>EKS</li><li>TypeScript CDK</li><li>Bash</li><li>GitLab, Pipelines</li><li>AI-assisted tooling</li></ul><p><strong>Desired Candidate Profile</strong></p><ul> <li>3+ years in a DevOps, platform, or infrastructure role with a strong database focus</li> <li>Production-level experience with PostgreSQL (query plans, vacuuming, partitioning, replication)</li> <li>Hands-on AWS experience with RDS, Aurora, and at least one of ECS or EKS</li> <li>Infrastructure-as-code proficiency; TypeScript CDK preferred, Terraform or Pulumi considered</li> <li>Proficient in Bash scripting</li> <li>Agentic AI workflows</li> </ul> <p> </p> <p>TECH STACK</p> <ul> <li>PostgreSQL SQL Server AWS RDS/Aurora ECS/EC2 EKS TypeScript CDK Bash GitLab, Pipelines AI-assisted tooling</li> </ul>

<p>We are looking for an experienced and reliable General Foreman to supervise and coordinate daily construction activities on site. The General Foreman will oversee site teams, subcontractors, and daily work progress while ensuring that work is completed according to approved drawings, quality standards, safety requirements, and project schedules.</p><p><b><br></b></p><p><b>Responsibilities</b></p><ul><li>Supervise and coordinate daily construction activities on site.</li><li>Manage and direct foremen, workers, subcontractors, and site teams.</li><li>Plan and organize daily manpower, materials, tools, and equipment requirements.</li><li>Ensure that construction works are carried out according to approved drawings, specifications, and project requirements.</li><li>Coordinate with the Project Manager, Site Engineers, and subcontractors to ensure smooth execution of works.</li><li>Monitor daily progress and ensure that activities are completed according to the project schedule.</li><li>Follow up on the proper sequence and coordination of civil, architectural, and MEP works.</li><li>Inspect completed and ongoing works to ensure quality and compliance with project standards.</li><li>Identify site issues, delays, or technical problems and report them to the Project Manager or Site Engineer.</li><li>Ensure that workers follow site safety rules, procedures, and company policies.</li><li>Monitor the proper use and availability of materials, tools, and equipment.</li><li>Coordinate deliveries and ensure materials are available when required.</li><li>Maintain good housekeeping and organization of the construction site.</li><li>Assist in resolving site conflicts and coordinating different trades to avoid work interruptions.</li><li>Monitor subcontractors' performance and ensure compliance with project requirements.</li><li>Prepare or provide daily updates on manpower, progress, site activities, and any issues encountered.</li><li>Ensure that work is completed within the required quality, time, and safety standards.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>8+ years of experience in construction, with proven experience in a General Foreman or Senior Foreman position.</p><p>Strong experience in managing construction site activities and multiple teams.</p><p>Good knowledge of construction methods, materials, and site operations.</p><p>Ability to read and understand construction drawings and specifications.</p><p>Strong leadership and team management skills.</p><p>Good communication and coordination skills.</p><p>Ability to work under pressure and meet project deadlines.</p><p>Strong problem-solving and decision-making abilities.</p><p>Knowledge of health and safety requirements on construction sites.</p><p>Experience working with subcontractors and multiple trades is preferred.</p><p>Good command of English is an advantage.</p>

<p>We are seeking a 3D Front-End Engineer / Creative Technologist to build a responsive, interactive 3D avatar customizer and drill-animation engine for our kid-focused mobile football application. In this role, you will bridge the gap between user experience and 3D graphics, translating assets built by our 3D artist into an interactive mobile experience using React Native and React Three Fiber.</p><p><strong>Key Responsibilities</strong></p><ul><li>Avatar Customization Engine: Build a modular system allowing users to swap 3D meshes and textures seamlessly (hair, jerseys, boots, skin tones) via standard React state.</li><li>Animation State Machine: Program a flexible skeletal animation controller to read .gltf/.glb bone structures, blending football drills (dribbling, passing, shooting) seamlessly.</li><li>Pipeline Collaboration: Work closely with our 3D artist to establish asset optimization constraints (low poly counts, texture atlasing, bone naming conventions) tailored for mobile WebGL performance.</li><li>Performance Tuning: Optimize memory management, garbage collection, and render loops to ensure a stable 60 FPS across both iOS and Android platforms.</li></ul><p><strong>Required Technical Skills</strong></p><ul><li>Proficient in React Native layout design, state management, and component lifecycles.</li><li>Strong commercial experience with Three.js and React Three Fiber / @react-three/fiber.</li><li>Deep understanding of 3D graphics concepts: mesh manipulation, skeletal rigging, bone weight matrices, PBR materials, and lighting arrays.</li><li>Experience parsing and manipulating GLTF/GLB models dynamically at runtime.</li><li>Mastery of mobile performance profiling tools (CPU/GPU boundaries, memory leaks, draw call optimization).</li></ul><p><strong>Nice-to-Have Skills</strong></p><ul><li>Experience building software or gamified experiences aimed at children.</li><li>Basic familiarity with 3D modeling tools like Blender to easily audit assets provided by the artist.</li><li>Knowledge of pre-built avatar ecosystems like Ready Player Me or Mixamo pipelines</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Proficient in React Native layout design, state management, and component lifecycles.</li><li>Strong commercial experience with Three.js and React Three Fiber / @react-three/fiber.</li><li>Deep understanding of 3D graphics concepts: mesh manipulation, skeletal rigging, bone weight matrices, PBR materials, and lighting arrays.</li><li>Experience parsing and manipulating GLTF/GLB models dynamically at runtime.</li><li>Mastery of mobile performance profiling tools (CPU/GPU boundaries, memory leaks, draw call optimization).</li><li>Experience building software or gamified experiences aimed at children.</li><li>Basic familiarity with 3D modeling tools like Blender to easily audit assets provided by the artist.</li><li>Knowledge of pre-built avatar ecosystems like Ready Player Me or Mixamo pipelines</li></ul>

<p>Responsible for ensuring that company projects, installations, products, and operational processes meet the required quality standards and technical specifications. The role includes conducting inspections, monitoring site activities, reviewing documentation, coordinating with engineering and project teams, identifying quality issues, and ensuring corrective actions are implemented. The position supports continuous improvement by maintaining quality procedures, reports, and compliance with company standards.</p><p>MAIN DUTIES AND RESPONSIBILITIES:</p><ul><li>Conduct regular quality inspections on sites, projects, installations, and technical works to ensure compliance with approved standards and specifications.</li><li>Monitor installation activities and verify that work is executed according to drawings, technical requirements, and company procedures.</li><li>Perform site visits to check workmanship, materials, safety practices, and overall project quality.</li><li>Review project documents, technical drawings, BOQs, specifications, and inspection requirements.</li><li>Prepare quality inspection reports, site observation reports, and non-conformance reports when required.</li><li>Identify quality issues, document findings, and follow up with responsible teams to implement corrective actions.</li><li>Coordinate with project managers, engineers, technicians, suppliers, and subcontractors to resolve quality-related issues.</li><li>Verify incoming materials, equipment, and products according to specifications before installation or use.</li><li>Perform random checks on completed works, installations, and delivered projects before final handover.</li><li>Ensure that corrective and preventive actions (CAPA) are properly implemented and closed.</li><li>Maintain quality records, inspection checklists, reports, and project documentation.</li><li>Assist in developing and improving quality control procedures, checklists, and internal standards.</li><li>Support engineering and operations teams in improving installation methods and reducing repeated issues.</li><li>Follow up on customer complaints related to technical quality and coordinate solutions with responsible departments.</li><li>Conduct audits on operational processes, warehouses, installations, and service activities when required.</li><li>Ensure compliance with company policies, safety procedures, and technical standards.</li><li>Support project teams during testing, commissioning, and handover stages.</li><li>Coordinate with suppliers and manufacturers regarding technical quality issues and product concerns.</li><li>Assist in preparing quality presentations, reports, and improvement recommendations for management.</li><li>Monitor field teams' performance and provide feedback regarding quality standards.</li><li>Perform any additional quality-related tasks assigned by management.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Engineering (Electrical, Mechanical, Civil, Industrial) or related technical field.</p><p>Minimum 2 3 years of experience in Quality Control, Site Engineering, Project Coordination, or Technical Inspection.</p><p>Previous experience working in an engineering company, construction company, contracting company, or technical projects is highly preferred.</p><p>Experience with site inspections, installation supervision, and project documentation is an advantage.</p><p>Good understanding of technical drawings, specifications, BOQs, and project requirements.</p><p>Knowledge of quality standards, inspection procedures, and reporting methods.</p><p>Strong attention to detail and ability to identify technical issues.</p><p>Good problem-solving and analytical skills.</p><p>Ability to prepare professional reports and documentation.</p><p>Strong communication skills with engineers, technicians, suppliers, and contractors.</p><p>Ability to work on-site and coordinate with multiple teams.</p><p>Good knowledge of Microsoft Office applications (Excel, Word, PowerPoint).</p><p>Familiarity with ERP, project management, ticketing, or documentation systems is an advantage.</p><p>Fluency in Arabic and English; French is an advantage.</p><p>Ability to work under pressure and manage multiple projects simultaneously.</p>

<p>Responsible for ensuring that company projects, installations, products, and operational processes meet the required quality standards and technical specifications. The role includes conducting inspections, monitoring site activities, reviewing documentation, coordinating with engineering and project teams, identifying quality issues, and ensuring corrective actions are implemented. The position supports continuous improvement by maintaining quality procedures, reports, and compliance with company standards.</p><p><b><br></b></p><p><b>MAIN DUTIES AND RESPONSIBILITIES:</b></p><ul><li>Conduct regular quality inspections on sites, projects, installations, and technical works to ensure compliance with approved standards and specifications.</li><li>Monitor installation activities and verify that work is executed according to drawings, technical requirements, and company procedures.</li><li>Perform site visits to check workmanship, materials, safety practices, and overall project quality.</li><li>Review project documents, technical drawings, BOQs, specifications, and inspection requirements.</li><li>Prepare quality inspection reports, site observation reports, and non-conformance reports when required.</li><li>Identify quality issues, document findings, and follow up with responsible teams to implement corrective actions.</li><li>Coordinate with project managers, engineers, technicians, suppliers, and subcontractors to resolve quality-related issues.</li><li>Verify incoming materials, equipment, and products according to specifications before installation or use.</li><li>Perform random checks on completed works, installations, and delivered projects before final handover.</li><li>Ensure that corrective and preventive actions (CAPA) are properly implemented and closed.</li><li>Maintain quality records, inspection checklists, reports, and project documentation.</li><li>Assist in developing and improving quality control procedures, checklists, and internal standards.</li><li>Support engineering and operations teams in improving installation methods and reducing repeated issues.</li><li>Follow up on customer complaints related to technical quality and coordinate solutions with responsible departments.</li><li>Conduct audits on operational processes, warehouses, installations, and service activities when required.</li><li>Ensure compliance with company policies, safety procedures, and technical standards.</li><li>Support project teams during testing, commissioning, and handover stages.</li><li>Coordinate with suppliers and manufacturers regarding technical quality issues and product concerns.</li><li>Assist in preparing quality presentations, reports, and improvement recommendations for management.</li><li>Monitor field teams' performance and provide feedback regarding quality standards.</li><li>Perform any additional quality-related tasks assigned by management.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Engineering (Electrical, Mechanical, Civil, Industrial) or related technical field.</p><p>Minimum 2 3 years of experience in Quality Control, Site Engineering, Project Coordination, or Technical Inspection.</p><p>Previous experience working in an engineering company, construction company, contracting company, or technical projects is highly preferred.</p><p>Experience with site inspections, installation supervision, and project documentation is an advantage.</p><p>Good understanding of technical drawings, specifications, BOQs, and project requirements.</p><p>Knowledge of quality standards, inspection procedures, and reporting methods.</p><p>Strong attention to detail and ability to identify technical issues.</p><p>Good problem-solving and analytical skills.</p><p>Ability to prepare professional reports and documentation.</p><p>Strong communication skills with engineers, technicians, suppliers, and contractors.</p><p>Ability to work on-site and coordinate with multiple teams.</p><p>Good knowledge of Microsoft Office applications (Excel, Word, PowerPoint).</p><p>Familiarity with ERP, project management, ticketing, or documentation systems is an advantage.</p><p>Fluency in Arabic and English; French is an advantage.</p><p>Ability to work under pressure and manage multiple projects simultaneously.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>GlobeMed Group, the largest Healthcare Benefits Management company in the MENA region is looking for a Senior AI / ML Engineer&nbsp;who will be&nbsp;responsible for designing, developing, integrating, and deploying AI capabilities across GlobeMed. The role provides senior technical expertise in AI engineering, application development, while working closely with business and technical teams to deliver reliable, scalable, and secure AI capabilities aligned with organizational needs.</p><br><p><strong>Duties &amp; Responsibilities:</strong></p><br><ul><li>Design and develop AI capabilities, applications, and AI-enabled workflows using modern AI tools and frameworks.</li><li>Develop and integrate AI agents, APIs, and MCP-based capabilities where applicable.</li><li>Develop and maintain front-end and back-end components supporting AI applications.</li><li>Apply AI-assisted coding tools to improve development efficiency and code quality.</li><li>Evaluate and adopt emerging AI technologies, frameworks, and development practices.</li><li>Ensure AI solutions are designed with appropriate scalability, reliability, security, and maintainability.</li><li>Work with ICT teams to ensure appropriate infrastructure, networking, security, and resource requirements are addressed.</li><li>Monitor and optimize the technical performance and resource utilization of AI environments.</li><li>Lead technical testing and validation of AI solutions prior to implementation.</li><li>Evaluate AI solutions for accuracy, reliability, performance, usability, and scalability.</li><li>Identify technical and functional issues and coordinate their resolution.</li><li>Establish appropriate testing approaches for AI models, agents, integrations, and applications.</li><li>Training, evaluating, and fine-tuning ML models on historical data for predictive analysis.</li></ul><br>Qualifications<br><p><u>Education:</u></p><br><ul><li>Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related technical field.</li><li>Relevant Master's degree or professional AI/cloud certification is an advantage.</li></ul><p><u>Experience/Knowledge: </u></p><br><ul><li>3-6&nbsp;years of experience in AI Platforms.</li><li>Strong hands-on experience developing and deploying AI applications and capabilities.</li><li>Strong knowledge of modern AI tools, frameworks, APIs, LLMs, and AI development practices.</li><li>Experience with AI agents, MCPs, and AI integrations.</li><li>Experience using AI coding and AI-assisted software development tools.</li><li>Experience working with legacy Databases using SQL.</li><li>Hands on code knowledge using python or other similar languages.</li><li>Source Control platform integration example GIT.</li><li>Previous experience working with microservices</li><li>Prior work experience with message queues and streaming platforms is a plus.</li><li>Knowledge of Agile methodology with prior experience on ticketing systems like jira is a plus.</li><li>Experience working on ML models with hands on experience using platforms like pytorch.</li><li>Hands on model testing, metrics evaluation, and fine tuning for ML predictive models.</li></ul><br><br> </div>

<p>As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and operational decision-making. You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization. This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex data challenges, and wants to have a direct impact on the growth of a rapidly scaling fintech company.</p><h4><b><br></b></h4><h4><b>What You'll Do</b></h4><ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes.</li><li>Build and optimize data models, warehouses, and data lakes to support business and product analytics.</li><li>Partner with cross-functional stakeholders to understand data needs and deliver actionable solutions.</li><li>Ensure data quality, integrity, governance, and observability across all systems.</li><li>Improve the performance, reliability, and scalability of our data platform.</li><li>Support real-time and batch data processing requirements</li><li>Develop and maintain documentation, standards, and best practices for data engineering.</li><li>Collaborate with software engineers to integrate data solutions into customer-facing products and internal systems</li><li><br></li></ul><h4><b><br></b></h4><h4><b>Nice to Have</b></h4><ul><li>Experience working within embedded payments, PayFac, merchant acquiring, or payment processing environments.</li><li>Experience with real-time streaming technologies and event-driven architectures.</li><li>Familiarity with data governance, compliance, and security requirements in regulated industries.</li><li>Experience building customer-facing data products or analytics platforms.</li><li>Interest in or exposure to cybersecurity principles as they relate to data infrastructure (e.g., encryption at rest/in transit, access controls, secure data pipelines).</li></ul><h4><br></h4><p><strong>Desired Candidate Profile</strong></p>5 8 years of experience in Data Engineering, Analytics Engineering, or a related field. Strong academic background in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. Experience designing and maintaining modern data architectures and large-scale data pipelines. Advanced SQL skills and strong proficiency in Python or another relevant programming language. Experience with cloud data platforms and modern data stack technologies. Strong understanding of data modeling, warehousing concepts, and distributed data systems. Proven ability to work cross-functionally and communicate technical concepts to nontechnical stakeholders. Experience in payments, fintech, financial services, or transaction-heavy environments is strongly preferred. High attention to detail and a commitment to data quality and reliability. Strong knowledge of Snowflake, DBT, Airflow. Strong knowledge and skills in AI development with top LLMs.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>GlobeMed Group, the largest Healthcare Benefits Management company in the MENA region is looking for a Senior AI / ML Engineer&nbsp;who will be&nbsp;responsible for designing, developing, integrating, and deploying AI capabilities across GlobeMed. The role provides senior technical expertise in AI engineering, application development, while working closely with business and technical teams to deliver reliable, scalable, and secure AI capabilities aligned with organizational needs.</p><br><p><strong>Duties &amp; Responsibilities:</strong></p><br><ul><li>Design and develop AI capabilities, applications, and AI-enabled workflows using modern AI tools and frameworks.</li><li>Develop and integrate AI agents, APIs, and MCP-based capabilities where applicable.</li><li>Develop and maintain front-end and back-end components supporting AI applications.</li><li>Apply AI-assisted coding tools to improve development efficiency and code quality.</li><li>Evaluate and adopt emerging AI technologies, frameworks, and development practices.</li><li>Ensure AI solutions are designed with appropriate scalability, reliability, security, and maintainability.</li><li>Work with ICT teams to ensure appropriate infrastructure, networking, security, and resource requirements are addressed.</li><li>Monitor and optimize the technical performance and resource utilization of AI environments.</li><li>Lead technical testing and validation of AI solutions prior to implementation.</li><li>Evaluate AI solutions for accuracy, reliability, performance, usability, and scalability.</li><li>Identify technical and functional issues and coordinate their resolution.</li><li>Establish appropriate testing approaches for AI models, agents, integrations, and applications.</li><li>Training, evaluating, and fine-tuning ML models on historical data for predictive analysis.</li></ul><br>Qualifications<br><p><u>Education:</u></p><br><ul><li>Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related technical field.</li><li>Relevant Master's degree or professional AI/cloud certification is an advantage.</li></ul><p><u>Experience/Knowledge: </u></p><br><ul><li>3-6&nbsp;years of experience in AI Platforms.</li><li>Strong hands-on experience developing and deploying AI applications and capabilities.</li><li>Strong knowledge of modern AI tools, frameworks, APIs, LLMs, and AI development practices.</li><li>Experience with AI agents, MCPs, and AI integrations.</li><li>Experience using AI coding and AI-assisted software development tools.</li><li>Experience working with legacy Databases using SQL.</li><li>Hands on code knowledge using python or other similar languages.</li><li>Source Control platform integration example GIT.</li><li>Previous experience working with microservices</li><li>Prior work experience with message queues and streaming platforms is a plus.</li><li>Knowledge of Agile methodology with prior experience on ticketing systems like jira is a plus.</li><li>Experience working on ML models with hands on experience using platforms like pytorch.</li><li>Hands on model testing, metrics evaluation, and fine tuning for ML predictive models.</li></ul><br><br> </div>

<p>As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform across SaaS, cloud, and on-premise environments. You will play a key role in CI/CD implementation, jobs automation, environment management, and production reliability, working closely with development, QA, and client-facing teams.</p><p>1. Environment &amp; Platform Management</p><ul><li>Deploy and manage MX environments across development, testing, and production stages</li><li>Handle environment lifecycle: provisioning, configuration, upgrades &amp; patching, decommissioning</li><li>Ensure environments are standardized, reproducible, and compliant</li><li>Support multi-client and multi-environment setups in SaaS or hybrid models</li></ul><p>2. CI/CD &amp; Release Engineering</p><ul><li>Design, implement, and maintain CI/CD pipelines to support continuous integration, testing, and deployment across multiple environments</li><li>Ensure pipeline stability minimizing build failures and delays</li><li>Implement automated build, packaging, and deployment processes</li><li>Enforce version control best practices (branching strategies, tagging, artifact management)</li><li>Support release cycles</li></ul><p>3. Automation</p><ul><li>Plan &amp; Code Templates stored in Git repositories alongside application code, allowing template updates to be version-controlled, code-reviewed, and tracked</li><li>Automate environment provisioning, configuration, and upgrades</li><li>Build reusable automation components to improve scalability and consistency</li></ul><p>4. Monitoring &amp; Reliability</p><ul><li>Implement monitoring, logging, and alerting solutions.</li><li>Drive observability, incident analysis, and reliability improvements.</li></ul><p>5. Data &amp; Environment Operations</p><ul><li>Manage data provisioning, masking, and lifecycle activities.</li><li>Support database migration, sanitization, and reconciliation.</li><li>Ensure compliance with security and data governance standards</li></ul><p>6. Incident Management</p><ul><li>Act as an escalation point for platform and environment issues.</li><li>Troubleshoot complex incidents and coordinate resolutions.</li><li>Maintain documentation and knowledge sharing.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Degree in Bachelor in Computer Engineering or Computer Science</p><p>1 to 4 years of experience in DevOps, CI/CD, Software Engineering or a relevant field</p><p>Technical Skills</p><ul><li>CI/CD tools: Jenkins, GitLab CI, Azure DevOps</li><li>Version control systems: Git (advanced usage)</li><li>Scripting: Shell, Python, Java, Groovy</li><li>Operating systems: Linux/Unix</li><li>Cloud platforms: AWS, Azure/GCP is a plus</li><li>Databases: Oracle, PostgreSQL, or similar</li><li>DevOps &amp; Platform Expertise</li><li>Experience building and operating CI/CD pipelines in complex environments</li><li>Knowledge of monitoring and observability tools</li><li>Exposure to SaaS / distributed architectures</li></ul><p>Soft Skills</p><ul><li>Strong analytical and troubleshooting skills</li><li>Ability to work under pressure in production environments</li><li>Clear communication with both technical and non-technical stakeholders</li><li>Team-oriented with strong collaboration mindset</li><li>Proactive and continuous improvement mindset</li><li>Fluent written &amp; oral English is necessary</li></ul>

We are seeking a detail-oriented Warehouse QC Inspector / Safeguard to ensure that raw materials, packaging materials, and stored products comply with company quality and food safety requirements throughout receiving, storage, and dispatch activities. <br>The role focuses on incoming material inspection, supplier documentation verification, warehouse conditions, material status control, traceability, and food safety compliance. <br>Key Responsibilities <br>· ✅ Inspect incoming raw and packaging materials and verify condition, cleanliness, integrity, quantity, lot numbers, expiry dates, and labeling. <br>· ✅ Verify required supplier documents, including COAs, specifications, food safety certificates, declarations, and other approval documents. <br>· ✅ Ensure materials are correctly identified and controlled as Released / On Hold / Rejected, preventing unauthorized use of non-released materials. <br>· ✅ Monitor warehouse compliance with GMP, GHP, storage requirements, allergen segregation, pest-control requirements, and housekeeping standards. <br>· ✅ Monitor temperature and humidity conditions and immediately report any deviation that may affect product quality or food safety. <br>· ✅ Verify proper stock rotation (FEFO/FIFO), expiry control, pallet condition, segregation, and traceability. <br>· ✅ Identify and report damaged, contaminated, expired, incorrectly labeled, or non-conforming materials and coordinate appropriate corrective actions. <br>· ✅ Maintain accurate QC inspection records and escalate significant food safety, supplier, material, or documentation issues to the QA/Food Safety team. <br>· ✅ Support supplier and material approval follow-up by ensuring required technical and food safety documents remain valid and updated. <br>Qualifications <br>· ???? Education: Bachelor’s degree in Food Science, Food Safety, Nutrition, Quality Assurance, Agriculture, Chemistry, or a related field. <br>· ???? Experience: Previous experience in quality control, warehouse quality, incoming inspection, or the food industry is an advantage. <br>· ???? Skills: Good understanding of food safety, incoming material inspection, warehouse controls, traceability, documentation, and GMP/GHP requirements. <br>· ???? Attention to Detail: Strong ability to identify discrepancies in materials, labels, documentation, storage conditions, and supplier records. <br>· ???? Communication: Good reporting, coordination, and communication skills with QA, Warehouse, Supply Chain, Procurement, and suppliers

<p>Aspire Software is looking for a Senior Software Developer to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>About the Job:</p><p>You will work closely with our Senior Integrations Engineer and within the Platform, Data and Security function, collaborating directly with external technical partners, internal product and engineering teams, and a codebase that spans modern TypeScript microservices and a mature .NET API. Critically, you will be expected to use AI-enabled development workflows not as a productivity shortcut but as a genuine engineering methodology: taking loosely defined integration requirements and using Claude Code and agentic tooling to plan, refine, and deliver production-quality outcomes. If you want to build things that matter, work in an environment that is serious about AI-native engineering, and grow your skills across a genuinely interesting technical domain, this is the role.</p><p>Key responsibilities</p><p>Integration design and delivery</p><ul><li>Design, build, and maintain integrations between the NBI platform and third-party systems including POS providers, payment processors, CRM platforms, and marketing tools, using the target TypeScript and AWS Lambda microservices stack.</li><li>Own the full integration lifecycle for assigned partners: technical discovery, API contract design, build, testing, deployment, and ongoing reliability monitoring.</li><li>Work within our existing .NET and SQL-based integration layer where required, reading and understanding legacy implementations to inform refactoring, extend capability, or resolve production issues without introducing regression.</li><li>Ensure all integrations are built to be robust, observable, and maintainable, with appropriate error handling, retry logic, and alerting in place from the start.</li></ul><p>Technical partner engagement</p><ul><li>Engage directly with third-party technical teams to understand API contracts, negotiate integration approaches, and resolve ambiguities during implementation.</li><li>Represent NBI professionally in technical discussions with external partners, translating business requirements into clear integration specifications and surfacing risks or constraints early.</li><li>Document integration contracts, data flows, and operational runbooks clearly, ensuring the team can support and extend integrations beyond the initial build.</li></ul><p>AI-enabled engineering and delivery quality</p><ul><li>Use Claude Code and agentic AI workflows as a core part of how you work: from decomposing a loosely defined integration requirement into a structured delivery plan, through scaffolding, iterative refinement, and test generation, to final production-ready output.</li><li>Apply strong engineering judgement to AI-generated output; you know how to verify correctness at integration boundaries, catch hallucinated API behaviour, and hold quality standards even when AI tooling is doing a large share of the drafting.</li><li>Contribute to the team's evolving norms around AI-augmented engineering: what works, what does not, where human judgement is non-negotiable, and how to structure tasks for reliable AIassisted execution.</li><li>Work within the Shape Up delivery model, engaging with pitches during shaping, committing to delivery within cycle, and surfacing scope or complexity concerns proactively rather than after the fact.</li><li>Collaborate closely with the QA function to ensure integrations are testable, with agreed acceptance criteria, contract tests, and monitoring in place before delivery is considered complete.</li><li>Use Linear, Notion, and GitLab as standard tooling across work tracking, documentation, and CI/CD.</li></ul><p>About you</p><p>You are an engineer who takes integration work seriously as a discipline, not just plumbing between systems. You understand that the quality of an integration shows up in production at the worst possible moment, so you build with reliability and observability in mind from the start. You are comfortable working across both modern serverless architectures and legacy codebases, and you communicate clearly enough with technical partners to get integrations right the first time rather than the third. Equally important: you are an experienced practitioner of AI-native engineering. You do not use Claude Code to autocomplete lines of code. You use it to think through an approach, decompose ambiguous requirements into executable steps, generate and iterate on implementation, and produce output you are prepared to own and defend. You have enough experience with agentic workflows to know their limits, and enough engineering rigour to close the gap where they fall short.</p><ul><li>Excellent written and verbal English communication skills; able to engage with technical partners and internal teams across time zones with clarity and professionalism</li><li>Strong commercial experience building and maintaining third-party integrations using REST APIs, webhooks, and event-driven patterns</li><li>Solid Node.js and TypeScript development experience, with the ability to build production-quality backend services and integrations independently</li><li>Ability to read, understand, and work within a .NET / C# codebase; you do not need to be a .NET specialist, but you cannot be blocked by one</li><li>Working knowledge of SQL and relational databases; comfortable writing and reviewing queries, understanding data access patterns, and reasoning about integration data flows</li><li>Demonstrated experience using Claude Code or equivalent agentic AI tooling as a core part of your engineering workflow; able to take a loosely defined capability, structure it into a delivery plan using AI, and drive it through to production-quality output with appropriate verification at each stage</li><li>Strong engineering judgement when working with AI-generated code; you know what to trust, what to verify, and what to rewrite, particularly at API boundaries and in integration-critical paths.</li><li>Strong attention to detail in API contract design, error handling, and edge-case coverage; integrations you build do not silently fail</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Excellent written and verbal English communication skills; able to engage with technical partners and internal teams across time zones with clarity and professionalism</li><li>Strong commercial experience building and maintaining third-party integrations using REST APIs, webhooks, and event-driven patterns</li><li>Solid Node.js and TypeScript development experience, with the ability to build production-quality backend services and integrations independently</li><li>Ability to read, understand, and work within a .NET / C# codebase; you do not need to be a .NET specialist, but you cannot be blocked by one</li><li>Working knowledge of SQL and relational databases; comfortable writing and reviewing queries, understanding data access patterns, and reasoning about integration data flows</li><li>Demonstrated experience using Claude Code or equivalent agentic AI tooling as a core part of your engineering workflow; able to take a loosely defined capability, structure it into a delivery plan using AI, and drive it through to production-quality output with appropriate verification at each stage</li><li>Strong engineering judgement when working with AI-generated code; you know what to trust, what to verify, and what to rewrite, particularly at API boundaries and in integration-critical paths.</li><li>Strong attention to detail in API contract design, error handling, and edge-case coverage; integrations you build do not silently fail</li></ul><p>Highly desirable</p><ul><li>Hands-on experience with AWS Lambda and serverless architectures, including event-driven patterns and infrastructure-as-code tooling such as Terraform</li><li>Experience integrating with POS systems, payment processors, or hospitality platforms in a commercial environment</li><li>Familiarity with AI agent orchestration, prompt engineering for code generation tasks, and context management in multi-step agentic workflows</li><li>Familiarity with observability tooling (Datadog or equivalent) for monitoring integration health, alerting on failures, and diagnosing production issues</li><li>Experience working in Linear, Notion, and GitLab as a day-to-day engineering toolchain</li><li>Experience working in Shape Up, Kanban, or other non-sprint delivery models with a strong sense of personal delivery accountability</li><li>Exposure to multi-region or multi-market SaaS environments, where integration behaviour may vary by geography or partner configuration</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Senior Software Developer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the Job: You will work closely with our Senior Integrations Engineer and within the Platform, Data and Security function, collaborating directly with external technical partners, internal product and engineering teams, and a codebase that spans modern TypeScript microservices and a mature .<br>NET API. Critically, you will be expected to use AI-enabled development workflows not as a productivity shortcut but as a genuine engineering methodology: taking loosely defined integration requirements and using Claude Code and agentic tooling to plan, refine, and deliver production-quality outcomes.<br> If you want to build things that matter, work in an environment that is serious about AI-native engineering, and grow your skills across a genuinely interesting technical domain, this is the role.<br> Key responsibilities Integration design and delivery Design, build, and maintain integrations between the NBI platform and third-party systems including POS providers, payment processors, CRM platforms, and marketing tools, using the target TypeScript and AWS Lambda microservices stack.<br> Own the full integration lifecycle for assigned partners: technical discovery, API contract design, build, testing, deployment, and ongoing reliability monitoring.<br> Work within our existing .<br>NET and SQL-based integration layer where required, reading and understanding legacy implementations to inform refactoring, extend capability, or resolve production issues without introducing regression.<br> Ensure all integrations are built to be robust, observable, and maintainable, with appropriate error handling, retry logic, and alerting in place from the start.<br> Technical partner engagement Engage directly with third-party technical teams to understand API contracts, negotiate integration approaches, and resolve ambiguities during implementation.<br> Represent NBI professionally in technical discussions with external partners, translating business requirements into clear integration specifications and surfacing risks or constraints early.<br> Document integration contracts, data flows, and operational runbooks clearly, ensuring the team can support and extend integrations beyond the initial build.<br> AI-enabled engineering and delivery quality Use Claude Code and agentic AI workflows as a core part of how you work: from decomposing a loosely defined integration requirement into a structured delivery plan, through scaffolding, iterative refinement, and test generation, to final production-ready output.<br> Apply strong engineering judgement to AI-generated output; you know how to verify correctness at integration boundaries, catch hallucinated API behaviour, and hold quality standards even when AI tooling is doing a large share of the drafting.<br> Contribute to the team's evolving norms around AI-augmented engineering: what works, what does not, where human judgement is non-negotiable, and how to structure tasks for reliable AIassisted execution.<br> Work within the Shape Up delivery model, engaging with pitches during shaping, committing to delivery within cycle, and surfacing scope or complexity concerns proactively rather than after the fact.<br> Collaborate closely with the QA function to ensure integrations are testable, with agreed acceptance criteria, contract tests, and monitoring in place before delivery is considered complete.<br> Use Linear, Notion, and GitLab as standard tooling across work tracking, documentation, and CI/CD.<br> About you You are an engineer who takes integration work seriously as a discipline, not just plumbing between systems.<br> You understand that the quality of an integration shows up in production at the worst possible moment, so you build with reliability and observability in mind from the start.<br> You are comfortable working across both modern serverless architectures and legacy codebases, and you communicate clearly enough with technical partners to get integrations right the first time rather than the third.<br> Equally important: you are an experienced practitioner of AI-native engineering.<br> You do not use Claude Code to autocomplete lines of code.<br> You use it to think through an approach, decompose ambiguous requirements into executable steps, generate and iterate on implementation, and produce output you are prepared to own and defend.<br> You have enough experience with agentic workflows to know their limits, and enough engineering rigour to close the gap where they fall short.<br> Excellent written and verbal English communication skills; able to engage with technical partners and internal teams across time zones with clarity and professionalism Strong commercial experience building and maintaining third-party integrations using REST APIs, webhooks, and event-driven patterns Solid Node.<br>js and TypeScript development experience, with the ability to build production-quality backend services and integrations independently Ability to read, understand, and work within a .<br>NET / C# codebase; you do not need to be a .<br>NET specialist, but you cannot be blocked by one Working knowledge of SQL and relational databases; comfortable writing and reviewing queries, understanding data access patterns, and reasoning about integration data flows Demonstrated experience using Claude Code or equivalent agentic AI tooling as a core part of your engineering workflow; able to take a loosely defined capability, structure it into a delivery plan using AI, and drive it through to production-quality output with appropriate verification at each stage Strong engineering judgement when working with AI-generated code; you know what to trust, what to verify, and what to rewrite, particularly at API boundaries and in integration-critical paths.<br> Strong attention to detail in API contract design, error handling, and edge-case coverage; integrations you build do not silently fail Highly desirable Hands-on experience with AWS Lambda and serverless architectures, including event-driven patterns and infrastructure-as-code tooling such as Terraform Experience integrating with POS systems, payment processors, or hospitality platforms in a commercial environment Familiarity with AI agent orchestration, prompt engineering for code generation tasks, and context management in multi-step agentic workflows Familiarity with observability tooling (Datadog or equivalent) for monitoring integration health, alerting on failures, and diagnosing production issues Experience working in Linear, Notion, and GitLab as a day-to-day engineering toolchain Experience working in Shape Up, Kanban, or other non-sprint delivery models with a strong sense of personal delivery accountability Exposure to multi-region or multi-market SaaS environments, where integration behaviour may vary by geography or partner configuration What's in it for you You will be working on integrations that restaurant operators depend on every day, at a moment when the team is actively rebuilding how those integrations work.<br> The shift from a complex legacy integration layer to a modern, event-driven microservices architecture is a genuine technical problem, and you will have real ownership of meaningful parts of it.<br> The work spans new partner onboarding into North America, the modernisation of existing POS and payment integrations, and an engineering culture that treats AI-native delivery as a first-class discipline.<br> If you want to grow your skills across serverless architecture, integration design, and agentic engineering on a platform that touches tens of thousands of venues, you will find genuine scope to do that here.<br> Why join us A team built on genuine care for the people we work with and the customers we serve.<br> We work remotely, we hold each other to a high standard, and we are committed to building a team that reflects the diversity of the communities and industries we serve.<br> We welcome applications from candidates of all backgrounds.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Customer-Technical Support Specialist to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> Role Overview To deliver and support a high volume of smaller concurrent professional services projects within customer support across customer-facing and internal workstreams.<br> The role requires a self-sufficient, technically capable individual with strong general IT and networking knowledge, able to manage implementation activity, troubleshoot issues, maintain accurate records, and work independently with minimal supervision.<br> Key Responsibilities Deliver multiple smaller professional services projects from initiation through to completion Carry out technical setup, configuration, implementation, and support tasks as required Liaise with customers, internal teams, and third parties to ensure projects progress to plan Assess technical requirements, prerequisites, risks, and dependencies before and during delivery Troubleshoot and resolve technical issues relating to implementations, connectivity, and customer environments Maintain accurate project and technical documentation, notes, and status updates Support project meetings, capture actions, and complete agreed technical tasks Communicate clearly and professionally with customers on progress, issues, and next steps Escalate more complex issues where needed while resolving routine matters independently Use AI tools to support documentation, reporting, troubleshooting, and answering technical questions from clients Previous experience in a professional services, implementation, technical support, systems engineer, or similar role Strong general IT knowledge across end-user systems, software, infrastructure, and troubleshooting - Strong understanding of networking fundamentals, including IP addressing, DNS, DHCP, routing, switching, Wi-Fi, VPNs, and general connectivity Experience working directly with customers in a technical delivery or support environment Ability to manage multiple tasks and smaller concurrent projects at the same time Strong written and verbal communication skills Good attention to detail and accurate record keeping Ability to work independently in a remote environment Confident using workplace systems and digital tools Practical use of AI tools such as ChatGPT, Copilot, or similar to improve efficiency and support day-to-day work Desirable Skills and Experience Experience in software implementation, onboarding, or service delivery Experience working in hotels/hospitality environment, and working with PMS and/or PBX systems Experience working with hosted, cloud, or on-premise systems Exposure to customer networks, firewalls, VLANs, remote access, and site readiness checks - Awareness of project delivery methods or service processes Experience producing customer-facing technical documentation or handover notes Behavioural Competencies Self-sufficient and proactive Technically minded and solutions-focused Well organised and methodical Professional and dependable Calm under pressure Comfortable working in a fast-paced environment AI Capability Requirement The role requires practical and confident use of AI as part of normal working practice.<br> The successful candidate should be able to use AI tools responsibly to improve speed, quality, and consistency of work, including drafting communications, summarising actions, preparing documentation, supporting troubleshooting, improving reporting, and helping answer technical questions from clients.<br> Measures of Success Successful delivery of multiple live technical projects and tasks Quality and accuracy of technical configuration and documentation Clear and professional customer communication Timely completion of actions and follow-ups Ability to troubleshoot effectively and maintain delivery momentum</span> </div>