وظائف مهندس صناعات غذائية

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>About the Role</strong></p><br><p>We're looking for a DevOps Engineer to build the infrastructure foundation that keeps our AI-powered product fast, reliable, secure, and cost-efficient. You'll set up the cloud, deployment, and monitoring systems that let a small team ship confidently and scale smoothly through the pilot and beyond.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Design, provision, and manage cloud infrastructure (AWS, GCP, or Azure)</li><li>Build and maintain CI/CD pipelines for fast, safe, automated deployments</li><li>Implement infrastructure-as-code (Terraform, Pulumi, or similar) for reproducible environments</li><li>Containerize and orchestrate services (Docker, Kubernetes) as the system grows</li><li>Set up observability: monitoring, logging, alerting, and tracing across the stack</li><li>Manage and optimize the cost, latency, and reliability of LLM and AI workloads</li><li>Own security, secrets management, and access controls across environments</li><li>Establish backup, disaster-recovery, and incident-response practices for the pilot</li></ul><br>Qualifications<br><ul><li>4+ years of DevOps, SRE, or infrastructure engineering experience</li><li>Strong hands-on experience with at least one major cloud provider (AWS/GCP/Azure)</li><li>Proficiency with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation)</li><li>Experience with containerization and orchestration (Docker, Kubernetes)</li><li>Solid CI/CD experience (GitHub Actions, GitLab CI, CircleCI, or similar)</li><li>Strong scripting skills (Bash, Python, or Go)</li><li>Experience implementing monitoring and observability tooling (Prometheus, Grafana, Datadog, etc.)</li><li>Security-first mindset and experience with secrets and access management</li></ul><br>Additional Information<br><ul><li>Experience managing infrastructure for AI/ML or LLM-heavy workloads</li><li>Familiarity with cost optimization for high-throughput API usage</li><li>Experience with GPU infrastructure or inference serving</li><li>Early-stage experience standing up infrastructure from scratch</li></ul><br><br> </div>

<p>Our client a leading telecom company, is looking for a Validation Engineer to join their team in Lebanon. The successful candidate will be responsible for analyzing the performance of implemented energy solutions, validating engineering calculations, identifying optimization opportunities, and supporting continuous improvement through technical analysis and reporting. This role requires a strong understanding of energy systems, data analysis, and performance monitoring across renewable and hybrid energy solutions.</p><p>Key Responsibilities</p><ul><li>Analyze the performance of implemented energy solutions and validate system behavior.</li><li>Review engineering calculations and assess the operational performance of energy systems.</li><li>Analyze energy logs, monitoring system data, and performance reports.</li><li>Prepare performance reports, dashboards, and graphical analyses using Excel and Power BI.</li><li>Identify performance gaps, energy losses, overconsumption, and optimization opportunities through data analysis.</li><li>Support continuous improvement initiatives by providing technical recommendations and performance validation reports.</li><li>Collaborate with cross-functional engineering teams to ensure solution efficiency and accuracy.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Electrical Engineering or Energy Engineering.</li><li>1 3 years of experience in energy engineering, energy validation, or solution performance analysis.</li><li>Strong understanding of engineering calculations for:<ul><li>Solar PV systems</li><li>Battery Energy Storage Systems (BESS)</li><li>Diesel generators</li><li>Hybrid energy solutions</li></ul></li><li>Experience analyzing energy logs, monitoring systems, and operational performance data.</li><li>Advanced proficiency in Microsoft Excel and Power BI.</li><li>Knowledge of energy solution modeling.</li><li>Experience with HOMER is considered an advantage.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication skills and the ability to work effectively with cross-functional teams.</li><li>Fluency in English and French is mandatory.</li></ul>

<p>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. This role is not about building disconnected experiments. It is about delivering real workflow change in priority areas, initially focused on Support, Sales, Professional Services and internal operational workflows. 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. 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.</p><p><b><br></b></p><p><b>What you will do</b></p><ul><li>Design and deploy AI agents</li><li>Design and deploy AI agents that support operational work, including support triage, internal workflow automation, sales support, onboarding tasks, knowledge handling, reporting and analysis</li><li>Build agents and workflows that integrate with CRM, ERP, internal tools, SaaS platforms and APIs</li><li>Use multi step workflows, tool using agents, decision logic and orchestration patterns where appropriate</li><li>Move quickly from idea to pilot to production while maintaining clear standards for quality and reliability</li><li>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</li><li>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</li><li>Partner with Product, Engineering, QA, Support, and other stakeholders to pilot, refine, and scale agentic PDLC workflows across teams</li><li>Redesign business workflows</li><li>Identify high value automation opportunities with functional leaders and operators</li><li>Redesign workflows so repetitive and rules-based work is handled by AI wherever safe and practical</li><li>Support the shift to AI first intake, triage, knowledge retrieval, simple response handling and case preparation in service operations</li><li>Help teams redesign work around a clear human and agent division of labour</li><li>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</li><li>Governance, quality and evaluation</li><li>Work within approved tooling standards, data and security guardrails, and design standards for agents and evaluation</li><li>Establish monitoring, fallback handling, escalation logic, prompt and workflow controls, and human review mechanisms</li><li>Test workflows with real users and real operational scenarios before scaling</li><li>Measure agent quality, workflow success, containment, handoff quality and operational value</li><li>Continuously improve workflows based on usage data, user feedback and service outcomes</li><li>Adoption and enablement</li><li>Partner with functional leaders and frontline teams to support rollout and adoption</li><li>Document new ways of working and help train users on how to work effectively with AI agents</li><li>Surface workflow risks, resistance points and improvement opportunities</li><li>Contribute reusable prompts, components, patterns and playbooks to the central AI capability</li><li>Cross functional delivery</li><li>Collaborate with Product, Engineering, Support, Sales and Professional Services teams</li><li>Help prioritise use cases based on measurable business value, feasibility and operational readiness</li><li>Support the central AI capability with value tracking, reporting and continuous learning across initiatives</li><li><b><br></b></li><li><b>What success looks like</b></li><li>Reduction in manual work and process cycle time</li><li>Improved support response times and service leverage</li><li>Workflow success rate and agent task completion quality</li><li>Ticket containment or deflection where relevant</li><li>Handoff quality for escalated or human reviewed work</li><li>User adoption of AI enabled workflows</li><li>Hours saved and team capacity created</li><li>Contribution to service, productivity and customer outcomes</li><li>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.</li><li>Proven track record of building products, tools, workflows, automations, startups, or side projects that went live and delivered measurable value</li><li>Strong working knowledge of AI and machine learning tools, large language models and agent frameworks</li><li>Experience building AI agents, workflow automations or AI powered internal tools</li><li>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</li><li>Ability to go from zero to functional prototype quickly</li><li>Strong systems thinking and comfort working across tools, processes and teams</li><li>Comfort with ambiguity and the ability to help define the problem as well as the solution</li><li>Bias toward action, with discipline around quality, evaluation and operational safety</li><li>Ability to work directly with business stakeholders and translate operational pain points into practical AI solutions</li><li><b><br></b></li><li><b>Nice to have</b></li><li>Experience building AI agents or service automation workflows</li><li>Experience in hospitality, retail, vertical SaaS, or B2B software environments</li><li>Experience working across multiple product lines, business units or operational functions</li><li>Familiarity with support operations, CRM workflows, or Professional Services delivery models</li><li>Experience with analytics, reporting and operational performance measurement</li></ul><p><strong>Desired Candidate Profile</strong></p>A bachelor's degree in Artificial Intelligence, Software Engineering, Computer Science, Robotics, Mechanical Engineering or a related discipline

<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><b><br></b></p><p><b>Key Responsibilities</b></p><p>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.</p><p>Animation State Machine: Program a flexible skeletal animation controller to read .gltf/.glb bone structures, blending football drills (dribbling, passing, shooting) seamlessly.</p><p>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.</p><p>Performance Tuning: Optimize memory management, garbage collection, and render loops to ensure a stable 60 FPS across both iOS and Android platforms.</p><p><strong>Desired Candidate Profile</strong></p><h2>Required Technical Skills</h2><p>Proficient in React Native layout design, state management, and component lifecycles.</p><p>Strong commercial experience with Three.js and React Three Fiber / @react-three/fiber.</p><p>Deep understanding of 3D graphics concepts: mesh manipulation, skeletal rigging, bone weight matrices, PBR materials, and lighting arrays.</p><p>Experience parsing and manipulating GLTF/GLB models dynamically at runtime.</p><p>Mastery of mobile performance profiling tools (CPU/GPU boundaries, memory leaks, draw call optimization).</p><h2>Nice-to-Have Skills</h2><p>Experience building software or gamified experiences aimed at children.</p><p>Basic familiarity with 3D modeling tools like Blender to easily audit assets provided by the artist.</p><p>Knowledge of pre-built avatar ecosystems like Ready Player Me or Mixamo pipelines'</p>

<p>The overall scope is to ensure the efficient operation of the Engineering department supporting all other operating departments. This includes supplying services as required by the entire operation and maintaining equipment, building, and grounds in optimum condition. The job of Assistant Director of Engineering is executed satisfactorily when:</p><ul><li>Ensure preventive and corrective maintenance of the real estate.</li><li>Ensure the production and supply of energy at all times.</li><li>Coordinate and supervise contractors to ensure compliance with specifications and the hotel s procedures in regards to the guest contact.</li><li>Optimise maintenance costs.</li><li>Comply with all Kempinski company policies.</li><li>Additional responsibilities and tasks can be added at any time according to the needs of the business and of the hotel.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>NATIONALITY : Lebanese EDUCATION : Engineer in akk HVACR, architect or equivalent background EXPERIENCE: To fill the position the following is required: Very good knowledge of building equipment: heating, ventilation, plumbing, electricity, automatic operation Minimum 2 years experience in building technology Successful experience in a position of responsibility including management of staff Experience in the maintenance of buildings and facilities HVACR LANGUAGE: Local language excellent oral and written skills (as applicable) English excellent oral and written skills Additional language - beneficial COMPETENCIES: Include the skills the candidate must have to fill this position: Faculty of analysis, evaluation and decision making in the day-to-day business and in the case of emergency Very good organisation and work planning skills Very good leadership by leading, motivating and empowering multidisciplinary teams TECHNICAL COMPETENCIES: Software office (word, Excel, Access) Engineering Administration system INDIVIDUAL CHARACTERISTICS: To fill this position the candidate must identify with the Kempinski core values, in addition they should be especially: People Oriented Entrepreneurial Straightforward Good interpersonal skills including the capacity to listen to all team members Being sensitive to the presence of customers and constraint.</p>

<p><h4>About the company</h4> <p>IBC Group is an industrial solutions provider specializing in advanced metal coatings, component repair, and performance engineering. We partner with manufacturers to extend the life of critical equipment, improve performance, and solve challenges related to wear, corrosion, and durability. Our capabilities include a wide range of thermal spray and performance coating technologies, supported by metallurgical expertise to ensure solutions meet demanding specifications. From restoring worn components to enhancing new parts, our work helps customers reduce downtime and improve reliability across a variety of industries. IBC Group operates focused on leveraging advanced surface engineering solutions globally.</p> <p>IBC Group is an equal opportunity employer. Full-time employees qualify for additional benefits like medical, vision, and dental insurance, paid time off (i.e. vacation), and retirement savings options.</p> <h4>Essential duties and responsibilities</h4> <p><strong>Strategic execution:</strong> Communicate and execute company strategic goals and objectives.</p> <p><strong>Technical & operational leadership:</strong> Provide technical and operational leadership across engineering, production, quality, and business development. Act as the primary technical authority for the company's thermal spray applications and component dimensional restoration, ensuring all work is technically sound, properly planned, and executed efficiently in accordance with company standards and customer requirements.</p> <p><strong>Project & group coordination:</strong> Coordinate and direct projects, plan technical activities, and ensure successful execution of work and programs. Engage with other IBC Group technical and support staff as needed.</p> <p><strong>Commercial & RFQ evaluation:</strong> Review incoming work including RFQs, contract requirements, and customer requests to ensure proper technical fit, scope, accurate industrial job costing/pricing for variable repair geometries, and scheduling before acceptance. Manage customer portals and interact directly with customers as needed.</p> <p><strong>Relationship management:</strong> Interact and build ongoing relationships with company, IBC Group customers, sponsors, and community partners.</p> <p><strong>Production alignment:</strong> Participate in production and planning meetings to communicate priorities, schedules, and expectations, ensuring alignment between technical requirements and daily operations.</p> <p><strong>Financial accountability:</strong> Monitor financial performance including P&L, job profitability, backlog, and pipeline to ensure the business operates in a highly profitable, sustainable, and commercially independent manner.</p> <p><strong>Budgeting & planning:</strong> Assist in preparing budgets, forecasts, bids, contracts, and proposals, and make recommendations regarding staffing, equipment, and operational needs based on business conditions.</p> <p><strong>CapEx ownership:</strong> Recommend and support procurement of capital equipment and technical resources, subject to company approval authority, budget limits, and applicable purchasing policies.</p> <p><strong>Technical & methodological oversight:</strong> Review technical work, reports, and methodologies to ensure accuracy, compliance, and sound engineering practices. Provide technical guidance on production, engineering, and R&D activities as required.</p> <p><strong>Knowledge codification & SOPs:</strong> Lead the extraction and transition of historical technical knowledge into codified manufacturing routes, job routers, and robust standard operating procedures (SOPs) to ensure repeatable shop-floor quality.</p> <p><strong>Subsurface & finishing operations:</strong> Oversee associated mechanical manufacturing and finishing operations critical to component repair, including pre-machining inspection, chemical stripping, masking, grit blasting, and precision post-coat grinding/machining to tight dimensional blueprint tolerances.</p> <p><strong>Team development:</strong> Assist in hiring, training, mentoring, timecard oversight, performance reviews, and corrective actions of team members, helping to ensure personnel follow procedures, policies, and performance expectations.</p> <p><strong>Executive reporting:</strong> Meet regularly with executive management to review performance, current contracts, risks, and future opportunities.</p> <p><strong>Administration & recordkeeping:</strong> Perform administrative duties as required, including approving expenditures, reviewing reports, monitoring project activity, and ensuring proper documentation and recordkeeping.</p> <p><strong>Quality & compliance audits:</strong> Follow and enforce all applicable ISO9001, AS9100, internal quality policies, OSHA safety regulations, and company safety policies. Ensure the facility and production team operate in constant compliance and are prepared for customer-specific or industry-specific technical audits.</p> <p><strong>Leadership support:</strong> Complete additional tasks or projects as assigned by company leadership.</p> <h4>Job requirements</h4> <p><strong>Citizenship status:</strong> Must be legally authorized to work in the United States without employer sponsorship. Due to potential access to export-controlled technical data, candidate must qualify as a “U.S. person” as defined under applicable export control laws, including ITAR/EAR, or otherwise be authorized to access such data under applicable law.</p> <p><strong>Education:</strong> Must have a bachelor's degree in materials science, metallurgy, mechanical engineering, mechanical engineering technology, or industrial engineering.</p> <p><strong>Thermal spray expertise:</strong> Minimum 5–10 years of hands-on or supervisory experience specifically within thermal spray coating technologies (including HVOF, plasma spray, flame spray, and arc spray) and industrial component salvage/repair operations is highly desirable.</p> <p><strong>Operations experience:</strong> Must have 5–10 years of relevant operations management experience, preferably overseeing an autonomous business unit or standalone profit center. Experience with thermal spray and manual machining in a production environment is a plus.</p> <p><strong>Project management:</strong> Must have a minimum of 5–10 years of direct project management experience.</p> <p><strong>Leadership & communication:</strong> Must have demonstrated leadership experience and excellent communication skills.</p> <p><strong>Analytical capabilities:</strong> Must be detail-oriented to understand complex systems, as well as capable of utilizing advanced mathematics for process and coating parameter development.</p> <p><strong>CAD competency:</strong> Solidworks or equivalent 3-D modeling software experience is required.</p> <p><strong>Software proficiency:</strong> Must have a strong knowledge of the Microsoft Suite of products (Office, Access, Word, Excel, Outlook, etc.).</p> <p><strong>Reporting:</strong> Must have the proven ability to write professional-level, highly technical reports.</p> <p><strong>Advanced work:</strong> Previous experience in industrial R&D and/or government contract work is a plus.</p> <p><strong>Machining & metrology knowledge:</strong> Demonstrated familiarity with precision conventional/CNC machining, industrial metrology instruments, and cylindrical/surface grinding techniques required to finish hard thermal spray surfaces.</p> <p><strong>Regulated data handling:</strong> Familiarity with ITAR/EAR compliance protocols and the secure management of controlled technical data packages.</p> <p><strong>Pre-employment screening:</strong> All employment at IBC is conditional upon successful results from background and drug testing.</p></p><p></p>

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Soft Flow is seeking a motivated and results-driven Sales Development Representative (SDR) to join our growing sales team. The ideal candidate will be responsible for identifying new business opportunities, conducting outbound prospecting activities, researching target markets, managing customer interactions through CRM systems, and supporting the sales team with accurate reporting and lead qualification.</p><p>This role is ideal for a professional with 2 4 years of B2B sales experience who enjoys engaging with clients, generating leads, and contributing directly to business growth.</p><p>Key Responsibilities</p><p>Lead Generation &amp; Prospecting</p><ul><li>Conduct outbound cold calls, emails, and follow-up activities to generate qualified sales opportunities.</li><li>Research target companies, industries, and key decision-makers.</li><li>Build and maintain prospect databases.</li><li>Qualify leads and schedule meetings for the sales team.</li><li>Follow up with prospects from marketing campaigns, events, webinars, and referrals.</li></ul><p>Market &amp; Sales Research</p><ul><li>Perform market research to identify new business opportunities and industry trends.</li><li>Analyze competitors, market developments, and customer needs.</li><li>Develop and maintain target account lists for strategic sales initiatives.</li><li>Gather and organize intelligence on potential clients and key stakeholders.</li></ul><p>CRM Management</p><ul><li>Maintain accurate customer and prospect records in the CRM system.</li><li>Track all sales activities, communications, and opportunities.</li><li>Update lead status and ensure data integrity within the CRM.</li><li>Support sales pipeline management and forecasting activities.</li></ul><p>Reporting &amp; Administration</p><ul><li>Prepare weekly and monthly sales activity reports.</li><li>Analyze lead generation performance and conversion metrics.</li><li>Generate reports on prospecting activities, meetings, and sales opportunities.</li><li>Support management with sales research findings and business insights.</li></ul><p>Customer &amp; Call Management</p><ul><li>Handle incoming inquiries and direct them to the appropriate team members.</li><li>Maintain a professional and customer-focused approach during all interactions.</li><li>Assist in coordinating meetings and follow-up communications.</li></ul><p>Skills &amp; Competencies</p><ul><li>Strong communication and interpersonal skills.</li><li>Professional telephone etiquette.</li><li>Research and analytical capabilities.</li><li>Prospecting and lead qualification skills.</li><li>Excellent organizational and time management skills.</li><li>Ability to work independently and as part of a team.</li><li>Results-oriented and proactive mindset.</li><li>Strong attention to detail and reporting accuracy.</li></ul><p>What We Offer</p><ul><li>Competitive salary and performance incentives.</li><li>Career growth and development opportunities.</li><li>Exposure to leading technology solutions and global vendors.</li><li>Collaborative and professional work environment.</li><li>Ongoing training and sales enablement programs.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><u>Required</u></p><p>Bachelor's degree in Business, Marketing, Management, or a related field.</p><p>2 4 years of experience in B2B sales, lead generation, business development, or inside sales.</p><p>Experience conducting cold calls and outbound prospecting.</p><p>Strong knowledge of CRM applications (Dynamics 365, or similar).</p><p>Experience with market research and sales research activities.</p><p>Proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook).</p><p>Excellent verbal and written communication skills in English and Arabic.</p><p><u>Preferred</u></p><p>Experience in the IT, software, cloud, cybersecurity, or technology sector.</p><p>Familiarity with LinkedIn Sales Navigator and lead generation tools.</p><p>Understanding of sales pipelines and sales performance metrics.</p><p></p></section>

We are looking for a creative, detail-oriented Content Creator who can produce high-quality visual content for brands across different industries. The ideal candidate is passionate about storytelling, social media trends, photography, and video production, with the ability to transform ideas into engaging content that delivers results. <br>Key Responsibilities <br>Plan, create, and execute content for Instagram, TikTok, Facebook, and other social media platforms. <br>Capture high-quality photos and videos for products, services, and lifestyle campaigns. <br>Edit videos and photos using professional editing software. <br>Develop creative concepts, storyboards, and content ideas. <br>Stay updated with social media trends, viral formats, and platform best practices. <br>Collaborate with the creative team to ensure content aligns with each brand's identity. <br>Organize and manage content files and project timelines. <br>Attend client shoots and produce content on location when required

<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><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>