وظائف هندسة النظم في لبنان

<p><h4>About Noema Consulting</h4> <p>Noema stands as a reliable partner, delivering cutting-edge IT solutions and outstanding service to organizations across diverse industries, with a special emphasis on banking. Leveraging deep expertise in digital transformation, data analytics & AI, SAP solutions, and quality assurance & support, Noema empowers clients to streamline processes, make smarter decisions, and drive sustainable business growth at an accelerated pace.</p> <h4>The role</h4> <p>The senior frontend software engineer designs, builds, and maintains complex, high-quality web applications, working closely with cross-functional teams to deliver exceptional user experiences. The role also involves contributing to key architectural decisions, leading technical initiatives, and mentoring junior team members to drive excellence across the front-end development process.</p> <h4>Key responsibilities</h4> <ul> <li>Design, develop, and maintain responsive and user-friendly web applications using modern JavaScript frameworks (React).</li> <li>Lead the design of frontend architecture, ensuring scalability, maintainability, and high performance while following best practices and industry standards.</li> <li>Collaborate closely with product managers, UX/UI designers, and backend developers to translate business requirements into technical solutions.</li> <li>Conduct code reviews to maintain high code quality, consistency, and adherence to development standards.</li> <li>Mentor junior developers and provide guidance on best practices, problem-solving, and professional development.</li> <li>Optimize applications for maximum speed, performance, and scalability across devices and browsers.</li> <li>Develop and maintain unit and integration tests and troubleshoot issues when they arise.</li> <li>Stay up to date with emerging front-end technologies, tools, and trends to continuously improve development practices.</li> <li>Work with design systems and component libraries to ensure consistency and reusability across projects.</li> <li>Participate actively in Agile ceremonies, including sprint planning, stand-ups, and retrospectives.</li> </ul> <h4>Requirements</h4> <p><strong>Experience:</strong></p> <ul> <li>5+ years in front-end development, delivering complex and scalable web applications.</li> <li>Strong background in designing, building, and maintaining modern web solutions with a strong user experience focus.</li> <li>Experience contributing to front-end architecture decisions around scalability, maintainability, and performance.</li> <li>Involvement in translating requirements into technical solutions in collaboration with product, design, and backend teams.</li> <li>Experience conducting code reviews and supporting engineering quality across the codebase.</li> </ul> <p><strong>Educational background:</strong></p> <ul> <li>Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.</li> </ul> <p><strong>Key competencies:</strong></p> <ul> <li>Strong frontend expertise in React, core frontend technologies, state management, tooling, and build systems.</li> <li>Ability to build scalable, maintainable, high-performing, and user-focused web applications.</li> <li>Solid knowledge of responsive development, API integration, testing, performance, SEO, accessibility, and reliability.</li> <li>Experience with design systems, reusable components, and component libraries.</li> <li>Strong analytical thinking, problem-solving, and ability to translate requirements into technical solutions.</li> <li>Ownership, accountability, reliability, and commitment to high-quality delivery.</li> <li>Clear communication and effective collaboration with product, design, backend, and cross-functional teams.</li> <li>Agile mindset, technical guidance, code review, and knowledge sharing.</li> <li>Continuous improvement mindset with focus on code quality, performance, and team practices.</li> <li>Digital mindset, openness to AI tools, remote collaboration, self-management, and global/cultural awareness.</li> </ul> <h4>Benefits</h4> <ul> <li>A fully remote work environment.</li> <li>The opportunity to contribute to international projects for global clients.</li> <li>A collaborative, multicultural team setting.</li> <li>The chance to take ownership and make a real impact.</li> <li>Exposure to experienced professionals and high-quality delivery standards.</li> <li>A culture built on collaboration, professionalism, and continuous improvement.</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>People &amp; Culture Director Reports to: Chief Marketing Officer (CMO), transitioning to a direct CEO reporting line as the function matures Subordinates: To be defined and built by the role-holder Work Location: Beirut, Lebanon / Limassol, Cyprus / Dubai, UAE Who We Are Swiss Butter is a fast-growing casual steakhouse brand focused on delivering exceptional dining experiences across the globe. Our mission is to create memorable moments for our customers through our signature dishes and strong connection to the communities we serve. Join us as we continue to grow into a globally recognized and loved brand. Summary of Position The People &amp; Culture Director is the architect of the people systems that enable Swiss Butter to scale across multiple countries as a company-owned, decentralized operating group. The role designs and governs the organizational infrastructure that lets each Head of Department own people execution within their function, while ensuring consistency, quality, and leadership readiness across all markets. Core mandates include organizational design, compensation architecture, manpower planning, succession systems, Academy governance, HRIS and ATS infrastructure, and decentralized accountability frameworks. The People &amp; Culture Director ensures the organization is structurally ready to expand, with leadership capacity established ahead of opening cadence rather than in response to it. The guiding principle of the function is clear: People &amp; Culture owns the system; operators own the people. Operating Model &amp; Centralization Boundary Swiss Butter is a company-owned, decentralized operating group. People &amp; Culture is decentralized by default: hiring, promotion, performance management, exit, and day-to-day people decisions are owned and executed by Heads of Department and market leads, within group standards. The function centralizes only what must be centralized to control audit, statutory, and group-consistency risk. Centralizing the system of record and the standard is not the same as centralizing the decision. The Director centralizes the record and the standard, and pushes every decision that can be safely distributed to the operator who owns the outcome. The following boundary is a non-negotiable feature of the role, not a phase-one compromise. Centralized by Mandate (P&amp;C owns the system, the standard, and the record) Employee master data and the single HRIS system of record. One record per employee, one set of service dates, one leave-balance ledger across all entities. Operators write into it; they do not keep parallel or local records. This is the primary audit control. Statutory liability and compliance tracking: end-of-service, leave, GOSI and social security, visa and work-permit validity, and the underlying calculations. These are accounting liabilities and cross-jurisdiction compliance obligations, not people-management choices, and they must be owned centrally and reconciled to Finance. Grading and pay-band architecture: the levels and bands, the compensation philosophy, and the benchmarking method are designed and governed centrally. Pay decisions within an approved band are an operator decision. Group standards for hiring, succession methodology, and SB Academy certification: the definition of what good looks like, so a certified leader means the same thing in every market. Selection and development against those standards are executed by operators. Decentralized to Operators (Heads of Department and Market Leads own the people) Who to hire, promote, and exit, within group standards and approved bands. Day-to-day performance management, coaching, and team development. Running the market-entry hiring playbook locally, and owning their own succession depth, held accountable centrally but executed locally. Key Performance Areas (KPAs) Organizational Design &amp; Operating Model Compensation Architecture &amp; Manpower Planning People Systems &amp; Data Infrastructure Talent Acquisition &amp; Workforce Readiness Leadership Development &amp; the Academy Succession &amp; Leadership Pipeline Performance Management &amp; Calibration Decentralized Accountability &amp; Governance Expansion &amp; New-Market Readiness Duties &amp; Responsibilities Organizational Design &amp; Operating Model Design the decentralized operating model, defining decision rights, guardrails, and escalation paths across all functions and markets. Establish the framework through which Heads of Department own people execution within their areas of responsibility. Maintain organizational clarity across entities, ensuring structure keeps pace with expansion. Compensation Architecture &amp; Manpower Planning Develop and govern a global grading and pay-band structure, mapped and benchmarked across all operating markets. Define the compensation philosophy and ensure pay decisions remain consistent, competitive, and defensible. Build the manpower planning model, aligning headcount and hiring lead times to the expansion pipeline, in partnership with Finance. People Systems &amp; Data Infrastructure Implement our in-house HRIS and ATS platforms to replace manual processes with scalable infrastructure. Establish a single, reliable source of employee data across all markets. Build reporting that supports leadership-level workforce and people-cost decisions. Talent Acquisition &amp; Workforce Readiness Define hiring standards, selection criteria, and certification gates applied consistently across markets. Establish a market-entry people playbook covering hiring, onboarding, and opening readiness for each new location. Ensure operators are equipped to source and select talent within agreed standards. Leadership Development &amp; the Academy Govern the SB Academy as the group's leadership development and operational certification function. Establish operational certification and train-the-trainer systems that replicate leadership capability across markets. Align Academy output to expansion demand, measuring certified leadership capacity produced against opening requirements. Succession &amp; Leadership Pipeline Establish the succession methodology and review cadence covering all critical roles. Ensure every critical role has an identified and developing successor. Hold Heads of Department accountable for maintaining leadership depth within their functions. Performance Management &amp; Calibration Design the performance management and calibration framework applied consistently across all markets. Ensure managers run performance cycles on time and link outcomes to development decisions. Connect performance results to promotion, succession, and pay decisions.&nbsp;</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Human Resources, Business Administration, Organizational Development, or a related field (Master's degree is a plus). 10+ years of progressive experience in People &amp; Culture, Human Resources, or Organizational Development, including senior leadership scope. Proven experience building people functions and systems in scaling, multi-site operational environments (hospitality, retail, or similar). Track record of operating across multiple countries and markets, ideally across MENA, Europe, and Anglophone regions. Strong command of organizational design, compensation structures, and workforce planning. Experience operating within founder-led, high-growth organizations. Strong strategic, analytical, and stakeholder-management capabilities. Core Competencies Systems Thinking Organizational Architecture Strategic Leadership Commercial Judgment Execution Discipline Influence &amp; Stakeholder Management Builder Orientation Technical Skills Strong knowledge of HRIS, ATS, and people-data and reporting systems. Experience designing compensation, grading, and benchmarking frameworks. Familiarity with leadership development, certification, and succession systems. Ability to analyze workforce and people-cost data and derive actionable insight. Understanding of multi-country employment practices and organizational compliance.</p><p></p></section>

<p><h4>Description</h4> <p><strong>Key responsibilities</strong></p> <p><strong>Technical presales support</strong><br> Collaborate with sales teams to understand customer business and technical requirements in KSA and UAE.<br> Design and propose suitable technical solutions aligned with customer needs.<br> Prepare technical proposals, solution architectures, and statements of work.<br> Conduct product presentations, demonstrations, and proof-of-concept (POC) sessions.<br> Respond to RFPs, RFIs, and RFQs with technical and functional inputs.<br> Assist in effort estimation, BOM preparation, and solution sizing.</p> <p><strong>Customer engagement</strong><br> Participate in customer meetings, workshops, and discovery sessions.<br> Explain technical concepts clearly to both technical and non-technical stakeholders.<br> Build trusted relationships with customers, partners, and internal teams.<br> Address customer technical concerns and provide recommendations.</p> <p><strong>Solution design & documentation</strong><br> Prepare high-level and low-level solution designs when required.<br> Create architecture diagrams, implementation approaches, and integration workflows.<br> Ensure proposed solutions follow best practices, scalability, security, and compliance standards.</p> <p><strong>Collaboration</strong><br> Coordinate with engineering, delivery, product, and support teams.<br> Work closely with project managers and solution architects during transition to delivery.<br> Support continuous improvement of presales assets, templates, and demo environments.</p> <p><strong>Market & product knowledge</strong><br> Stay updated on industry trends, competitor solutions, and emerging technologies.<br> Maintain strong understanding of company products, services, and capabilities.</p> <p><strong>Required qualifications</strong></p> <ul> <li>Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.</li> <li>3–6 years of experience in presales, solution engineering, systems engineering, or technical consulting.</li> <li>Experience in preparing technical proposals and responding to RFPs.</li> <li>Strong understanding of enterprise IT solutions, cloud technologies, integrations, and software architectures.</li> <li>Excellent communication and presentation skills.</li> <li>Ability to work in a fast-paced, customer-facing environment.</li> </ul> <p><strong>Preferred skills</strong></p> <ul> <li>Experience with cloud platforms such as Azure, AWS, or Google Cloud.</li> <li>Knowledge of APIs, integrations, databases, and enterprise applications.</li> <li>Familiarity with cybersecurity, infrastructure, data, or AI solutions is a plus.</li> <li>Experience with diagramming and documentation tools (Visio, Draw.io, etc.).</li> <li>Relevant technical certifications are advantageous.</li> </ul> <p><strong>Soft skills</strong></p> <ul> <li>Strong analytical and problem-solving abilities.</li> <li>Customer-oriented mindset.</li> <li>Strong teamwork and collaboration skills.</li> <li>Ability to manage multiple opportunities simultaneously.</li> <li>Good negotiation and stakeholder management skills.</li> </ul> <p><strong>KPIs / success metrics</strong></p> <ul> <li>Quality and timeliness of technical proposals.</li> <li>Win rate contribution.</li> <li>Customer satisfaction during presales engagements.</li> <li>Accuracy of solution sizing and estimations.</li> <li>Number of successful demos and POCs delivered.</li> </ul></p><p></p>

<p><h4>Description</h4> <p><strong>Key responsibilities</strong></p> <p><strong>Technical presales support</strong><br> Collaborate with sales teams to understand customer business and technical requirements in KSA and UAE.<br> Design and propose suitable technical solutions aligned with customer needs.<br> Prepare technical proposals, solution architectures, and statements of work.<br> Conduct product presentations, demonstrations, and proof-of-concept (POC) sessions.<br> Respond to RFPs, RFIs, and RFQs with technical and functional inputs.<br> Assist in effort estimation, BOM preparation, and solution sizing.</p> <p><strong>Customer engagement</strong><br> Participate in customer meetings, workshops, and discovery sessions.<br> Explain technical concepts clearly to both technical and non-technical stakeholders.<br> Build trusted relationships with customers, partners, and internal teams.<br> Address customer technical concerns and provide recommendations.</p> <p><strong>Solution design & documentation</strong><br> Prepare high-level and low-level solution designs when required.<br> Create architecture diagrams, implementation approaches, and integration workflows.<br> Ensure proposed solutions follow best practices, scalability, security, and compliance standards.</p> <p><strong>Collaboration</strong><br> Coordinate with engineering, delivery, product, and support teams.<br> Work closely with project managers and solution architects during transition to delivery.<br> Support continuous improvement of presales assets, templates, and demo environments.</p> <p><strong>Market & product knowledge</strong><br> Stay updated on industry trends, competitor solutions, and emerging technologies.<br> Maintain strong understanding of company products, services, and capabilities.</p> <p><strong>Required qualifications</strong></p> <ul> <li>Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.</li> <li>3–6 years of experience in presales, solution engineering, systems engineering, or technical consulting.</li> <li>Experience in preparing technical proposals and responding to RFPs.</li> <li>Strong understanding of enterprise IT solutions, cloud technologies, integrations, and software architectures.</li> <li>Excellent communication and presentation skills.</li> <li>Ability to work in a fast-paced, customer-facing environment.</li> </ul> <p><strong>Preferred skills</strong></p> <ul> <li>Experience with cloud platforms such as Azure, AWS, or Google Cloud.</li> <li>Knowledge of APIs, integrations, databases, and enterprise applications.</li> <li>Familiarity with cybersecurity, infrastructure, data, or AI solutions is a plus.</li> <li>Experience with diagramming and documentation tools (Visio, Draw.io, etc.).</li> <li>Relevant technical certifications are advantageous.</li> </ul> <p><strong>Soft skills</strong></p> <ul> <li>Strong analytical and problem-solving abilities.</li> <li>Customer-oriented mindset.</li> <li>Strong teamwork and collaboration skills.</li> <li>Ability to manage multiple opportunities simultaneously.</li> <li>Good negotiation and stakeholder management skills.</li> </ul> <p><strong>KPIs / success metrics</strong></p> <ul> <li>Quality and timeliness of technical proposals.</li> <li>Win rate contribution.</li> <li>Customer satisfaction during presales engagements.</li> <li>Accuracy of solution sizing and estimations.</li> <li>Number of successful demos and POCs delivered.</li> </ul></p><p></p>

<p>Job Summary The Lead Smart Mobility & Systems Design Engineer is responsible for leading the engineering, design, and integration of Intelligent Transportation Systems (ITS) and smart mobility solutions across highways, railways, tunnels, airports, and smart city programs. The role ensures the development of scalable, reliable, and integrated ITS architectures aligned with international transportation and smart mobility standards. Key Responsibilities ITS & Smart Systems Design Lead the design and engineering of Intelligent Transportation Systems (ITS) subsystems including ANPR, adaptive traffic control systems, Variable Message Signs (VMS), CCTV, traffic sensors, tunnel systems, ATMS/SCATS, emergency phones, and related smart mobility systems Develop integrated system architectures linking field devices, communication infrastructure, and centralized control systems Prepare ITS communication network designs including fiber optic, wireless, and IP/MPLS-based infrastructure Analysis & Smart Mobility Planning Conduct traffic demand analysis and support the development of ITS and smart mobility technology strategies Assess integration of ITS platforms with city systems, mobility dashboards, and centralized operations platforms Support evaluation of smart mobility technologies and operational improvement opportunities Technical Deliverables & Documentation Prepare detailed drawings, interface control documents (ICDs), technical specifications, and Bills of Quantities (BoQs) Lead RFP preparation activities and participate in technical evaluations of systems and vendors Coordination & Leadership Coordinate with transportation planners, civil engineers, ICT teams, system integrators, and local authorities Mentor junior engineers and support the management of design and coordination workflows Participate in multidisciplinary coordination and stakeholder review meetings</p><p>Bachelor’s degree in Electrical Engineering, ICT, Transportation Engineering, or related field Minimum 8–12 years of experience in ITS and smart mobility engineering projects Strong expertise in ITS systems design, smart mobility platforms, and transportation technologies Good understanding of communication networks including fiber optic, wireless, and IP/MPLS systems Deep knowledge of NTCIP, ISO 39001, EN standards, C-ITS, and V2X technologies Experience in highways, tunnels, rail, airports, or smart city infrastructure projects Good communication and presentation skills Good interpersonal skills Proficiency in spoken and written English and Arabic</p>

<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 an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis</li><li>Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs</li><li>Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale</li><li>Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior</li><li>Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding</li><li>Collaborate with product and design to translate workflows into robust technical experiences</li><li>Ship production features across the stack, from the model layer to the application</li></ul><p>Monitor, debug, and improve system performance, token efficiency, and guardrails</p><br><br>Qualifications<br><ul><li>3+ years of software engineering experience, with hands-on work building LLM-powered applications</li><li>Strong proficiency in Python and/or TypeScript/JavaScript</li><li>Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)</li><li>Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)</li><li>Understanding of multi-agent systems, tool use, and function calling</li><li>Experience designing evaluation and testing strategies for non-deterministic AI outputs</li><li>Solid grasp of API design, async processing, and scalable backend architecture</li><li>Comfort working in a fast-moving, ambiguous, early-stage environment</li></ul><br>Additional Information<br><ul><li>Experience with real-time streaming (WebSockets, SSE) for conversational interfaces</li><li>Background in fine-tuning, model distillation, or inference optimization</li><li>Familiarity with cloud infrastructure (AWS/GCP/Azure) and CI/CD</li><li>Contributions to open-source AI projects</li></ul><br><br> </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>

Key Responsibilities: <br>• Prepare electrical design drawings, including: <br>• Power layouts <br>• Lighting layouts <br>• Panel board schedules <br>• Single-line diagrams (SLD) <br>• Load calculations <br>• Cable sizing <br>• Earthing and lightning protection systems <br>• Design low-current systems (as applicable), including: <br>• Fire alarm systems <br>• CCTV <br>• Intrusion systems <br>• Public address/music systems <br>• Tel/Data systems & structured cabling <br>• Anti-shoplifting systems <br>• BMS coordination <br>• Perform load calculations and support generator sizing and synchronization studies. <br>• Coordinate with mechanical, architectural, and civil disciplines. <br>• Review contractor shop drawings and technical submittals. <br>• Participate in BOQ preparation and cost estimation. <br>• Ensure compliance with local regulations (EDL) and international standards (IEC, NFPA, etc.). <br>• Conduct site visits, when required, to ensure proper design implementation. <br>• Support energy efficiency initiatives (LED upgrades, HVAC coordination, solar PV integration, when applicable). <br> <br>Qualifications & Requirements: <br> <br>• Bachelor’s degree in Electrical Engineering. <br>• Minimum 4 years of experience in electrical design. <br>• Strong knowledge of AutoCAD (mandatory), Dialux (preferred), and MS Office. <br>• Good understanding of electrical codes and standards. <br>• Strong coordination and communication skills. <br>• Ability to work under pressure and meet deadlines

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Aspire Software is looking for a Senior Software Developer to join our team in Lebanon. About the Job: The Senior AI Software Developer is an experienced full stack developer who focuses on complex tasks requiring a high level of abstraction, applying the right techniques to deliver quality and avoid technical debt. The role combines strong backend engineering in Java with modern frontend development in TypeScript, and contributes to the architectural decisions that shape the growth of our product. We expect this developer to work fluently with AI-assisted coding tools and to use them effectively to accelerate delivery without compromising quality. Areas of key responsibilities: Use AI to write code in Java (backend) and TypeScript/JavaScript (frontend) to develop new features, working across the full stack. Make effective use of AI coding assistants and developer tooling (e.g. code generation, review, and refactoring) to increase productivity while maintaining code quality, security, and maintainability. Contribute to general software architecture decisions, collaborating closely with the Software Architect and colleagues from SysOps to make the right technical choices and grow our product. Participate in an on-call rotation to support the reliability of our production systems, applying basic system knowledge to diagnose and resolve issues. Analyse and fix defects reported by the 2nd level team. Work with the QA team to fix issues found during the software verification phase prior to rollouts. Use AI to create unit, performance, and integration tests. Work with AI Pod Lead to complete specifications with technical details. Analyse user metrics, propose, and implement improvements. Other duties as reasonably directed; adhere to all Seekda policies; take all reasonable care to ensure that your actions or omissions do not impact the health and safety of yourself and others in the workplace; recognise the dignity and respect of every team member and actively contribute to maintaining a work environment free from harassment, sexual harassment and discrimination.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Background and Experience:</p><ul><li>Relevant job experience and/or a degree in computer science</li><li>Minimum 4 years of experience</li><li>Solid backend development skills in Java and frontend development skills in TypeScript i.e. a genuine full stack profile (additional experience with JavaScript, XML, JSON is a plus)</li><li>Practical experience using AI-assisted development tools (e.g. AI coding assistants, LLMbased tooling) in a professional software development context</li><li>Experience with general software architecture and the ability to collaborate with architects and operations colleagues on design decisions</li><li>Experience working with CI/CD and SCM tools</li><li>Experience with databases and distributed systems</li><li>Basic system / infrastructure knowledge (beneficial for on-call responsibilities)</li><li>Experience working with larger software projects</li><li>Experience working with cross-cultural and cross-country teams</li></ul><p>Skills and abilities:</p><ul><li>Team-oriented, problem-focused working approach</li><li>Accuracy and attention to detail</li><li>Ability to connect business and technical problems</li><li>Ability to quickly adapt to new technologies and frameworks</li><li>Proficiency with AI coding tools and sound judgement about when and how to apply them (including awareness of their limitations)</li><li>Willingness to participate in an on-call rotation</li></ul><p></p></section>

<p><h4>Description</h4> <p>Aspire Software is looking for a senior software developer to join our team in Lebanon.</p> <p>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> <h4>About the job</h4> <p>The senior AI software developer is an experienced full stack developer who focuses on complex tasks requiring a high level of abstraction, applying the right techniques to deliver quality and avoid technical debt. The role combines strong backend engineering in Java with modern frontend development in TypeScript, and contributes to the architectural decisions that shape the growth of our product. We expect this developer to work fluently with AI-assisted coding tools and to use them effectively to accelerate delivery without compromising quality.</p> <h4>Areas of key responsibilities</h4> <ul> <li>Use AI to write code in Java (backend) and TypeScript/JavaScript (frontend) to develop new features, working across the full stack.</li> <li>Make effective use of AI coding assistants and developer tooling (e.g. code generation, review, and refactoring) to increase productivity while maintaining code quality, security, and maintainability.</li> <li>Contribute to general software architecture decisions, collaborating closely with the software architect and colleagues from SysOps to make the right technical choices and grow our product.</li> <li>Participate in an on-call rotation to support the reliability of our production systems, applying basic system knowledge to diagnose and resolve issues.</li> <li>Analyse and fix defects reported by the 2nd level team.</li> <li>Work with the QA team to fix issues found during the software verification phase prior to rollouts.</li> <li>Use AI to create unit, performance, and integration tests.</li> <li>Work with AI pod lead to complete specifications with technical details.</li> <li>Analyse user metrics, propose, and implement improvements.</li> <li>Other duties as reasonably directed; adhere to all company policies; take all reasonable care to ensure that your actions or omissions do not impact the health and safety of yourself and others in the workplace; recognise the dignity and respect of every team member and actively contribute to maintaining a work environment free from harassment, sexual harassment and discrimination.</li> </ul> <h4>Requirements</h4> <h4>Background and experience</h4> <ul> <li>Relevant job experience and/or a degree in computer science</li> <li>Minimum 4 years of experience</li> <li>Solid backend development skills in Java and frontend development skills in TypeScript — i.e. a genuine full stack profile (additional experience with JavaScript, XML, JSON is a plus)</li> <li>Practical experience using AI-assisted development tools (e.g. AI coding assistants, LLM-based tooling) in a professional software development context</li> <li>Experience with general software architecture and the ability to collaborate with architects and operations colleagues on design decisions</li> <li>Experience working with CI/CD and SCM tools</li> <li>Experience with databases and distributed systems</li> <li>Basic system/infrastructure knowledge (beneficial for on-call responsibilities)</li> <li>Experience working with larger software projects</li> <li>Experience working with cross-cultural and cross-country teams</li> </ul> <h4>Skills and abilities</h4> <ul> <li>Team-oriented, problem-focused working approach</li> <li>Accuracy and attention to detail</li> <li>Ability to connect business and technical problems</li> <li>Ability to quickly adapt to new technologies and frameworks</li> <li>Proficiency with AI coding tools and sound judgement about when and how to apply them (including awareness of their limitations)</li> <li>Willingness to participate in an on-call rotation</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for a senior software developer to join our team in Lebanon.</p> <p>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> <h4>About the job</h4> <p>The senior AI software developer is an experienced full stack developer who focuses on complex tasks requiring a high level of abstraction, applying the right techniques to deliver quality and avoid technical debt. The role combines strong backend engineering in Java with modern frontend development in TypeScript, and contributes to the architectural decisions that shape the growth of our product. We expect this developer to work fluently with AI-assisted coding tools and to use them effectively to accelerate delivery without compromising quality.</p> <h4>Areas of key responsibilities</h4> <ul> <li>Use AI to write code in Java (backend) and TypeScript/JavaScript (frontend) to develop new features, working across the full stack.</li> <li>Make effective use of AI coding assistants and developer tooling (e.g. code generation, review, and refactoring) to increase productivity while maintaining code quality, security, and maintainability.</li> <li>Contribute to general software architecture decisions, collaborating closely with the software architect and colleagues from SysOps to make the right technical choices and grow our product.</li> <li>Participate in an on-call rotation to support the reliability of our production systems, applying basic system knowledge to diagnose and resolve issues.</li> <li>Analyse and fix defects reported by the 2nd level team.</li> <li>Work with the QA team to fix issues found during the software verification phase prior to rollouts.</li> <li>Use AI to create unit, performance, and integration tests.</li> <li>Work with AI pod lead to complete specifications with technical details.</li> <li>Analyse user metrics, propose, and implement improvements.</li> <li>Other duties as reasonably directed; adhere to all company policies; take all reasonable care to ensure that your actions or omissions do not impact the health and safety of yourself and others in the workplace; recognise the dignity and respect of every team member and actively contribute to maintaining a work environment free from harassment, sexual harassment and discrimination.</li> </ul> <h4>Requirements</h4> <h4>Background and experience</h4> <ul> <li>Relevant job experience and/or a degree in computer science</li> <li>Minimum 4 years of experience</li> <li>Solid backend development skills in Java and frontend development skills in TypeScript — i.e. a genuine full stack profile (additional experience with JavaScript, XML, JSON is a plus)</li> <li>Practical experience using AI-assisted development tools (e.g. AI coding assistants, LLM-based tooling) in a professional software development context</li> <li>Experience with general software architecture and the ability to collaborate with architects and operations colleagues on design decisions</li> <li>Experience working with CI/CD and SCM tools</li> <li>Experience with databases and distributed systems</li> <li>Basic system/infrastructure knowledge (beneficial for on-call responsibilities)</li> <li>Experience working with larger software projects</li> <li>Experience working with cross-cultural and cross-country teams</li> </ul> <h4>Skills and abilities</h4> <ul> <li>Team-oriented, problem-focused working approach</li> <li>Accuracy and attention to detail</li> <li>Ability to connect business and technical problems</li> <li>Ability to quickly adapt to new technologies and frameworks</li> <li>Proficiency with AI coding tools and sound judgement about when and how to apply them (including awareness of their limitations)</li> <li>Willingness to participate in an on-call rotation</li> </ul></p><p></p>

<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: The Senior AI Software Developer is an experienced full stack developer who focuses on complex tasks requiring a high level of abstraction, applying the right techniques to deliver quality and avoid technical debt.<br> The role combines strong backend engineering in Java with modern frontend development in TypeScript, and contributes to the architectural decisions that shape the growth of our product.<br> We expect this developer to work fluently with AI-assisted coding tools and to use them effectively to accelerate delivery without compromising quality.<br> Areas of key responsibilities: Use AI to write code in Java (backend) and TypeScript/JavaScript (frontend) to develop new features, working across the full stack.<br> Make effective use of AI coding assistants and developer tooling (e.<br>g. code generation, review, and refactoring) to increase productivity while maintaining code quality, security, and maintainability.<br> Contribute to general software architecture decisions, collaborating closely with the Software Architect and colleagues from SysOps to make the right technical choices and grow our product.<br> Participate in an on-call rotation to support the reliability of our production systems, applying basic system knowledge to diagnose and resolve issues.<br> Analyse and fix defects reported by the 2nd level team.<br> Work with the QA team to fix issues found during the software verification phase prior to rollouts.<br> Use AI to create unit, performance, and integration tests.<br> Work with AI Pod Lead to complete specifications with technical details.<br> Analyse user metrics, propose, and implement improvements.<br> Other duties as reasonably directed; adhere to all Seekda policies; take all reasonable care to ensure that your actions or omissions do not impact the health and safety of yourself and others in the workplace; recognise the dignity and respect of every team member and actively contribute to maintaining a work environment free from harassment, sexual harassment and discrimination.<br> Background and Experience: Relevant job experience and/or a degree in computer science Minimum 4 years of experience Solid backend development skills in Java and frontend development skills in TypeScript — i.<br>e. a genuine full stack profile (additional experience with JavaScript, XML, JSON is a plus) Practical experience using AI-assisted development tools (e.<br>g. AI coding assistants, LLMbased tooling) in a professional software development context Experience with general software architecture and the ability to collaborate with architects and operations colleagues on design decisions Experience working with CI/CD and SCM tools Experience with databases and distributed systems Basic system / infrastructure knowledge (beneficial for on-call responsibilities) Experience working with larger software projects Experience working with cross-cultural and cross-country teams Skills and abilities: Team-oriented, problem-focused working approach Accuracy and attention to detail Ability to connect business and technical problems Ability to quickly adapt to new technologies and frameworks Proficiency with AI coding tools and sound judgement about when and how to apply them (including awareness of their limitations) Willingness to participate in an on-call rotation</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Namou Properties Namou Properties is a growing real estate company focused on improving operational efficiency and building data-driven systems to support business growth.<br> About the Role We are building a robust, scalable Enterprise Resource Planning (ERP) system to streamline and optimize our business operations.<br> We are looking for an experienced JavaScript/Node.<br>js Developer (ERP Specialist) to take ownership of the technical implementation in a remote work environment.<br> You will be responsible for designing complex database structures, developing backend systems, and implementing seamless third-party integrations and automations.<br> This role is ideal for someone who enjoys building scalable systems, solving complex technical challenges, and working independently in a remote setup while collaborating with cross-functional teams.<br> Responsibilities Backend Architecture: Design and develop secure, high-performance REST/GraphQL APIs using Node.<br>js (TypeScript preferred).<br> Database Management: Structure, optimize, and maintain a relational database using PostgreSQL, utilizing ORMs like Prisma or Drizzle to ensure data integrity and speed.<br> ERP Core Logic: Build and manage modules for complex workflows (e.<br>g., inventory management, financial tracking, or user permissions).<br> Integration &amp; Automation: Connect the system with third-party APIs and implement background job queues for workflow automation.<br> Frontend Collaboration: Ensure smooth data flow and integration with the frontend team (React/Next.<br>js environment).<br> Why Join Namou Properties Be part of a growing real estate company focused on innovation and investment opportunities Competitive compensation package Performance-based incentives Opportunity to design and implement systems that directly impact business operations 2+ years of professional experience with JavaScript and Node.<br>js (Express or NestJS).<br> Strong proficiency in SQL and deep experience working with PostgreSQL.<br> Proven experience building or maintaining complex systems like ERPs, CRMs, or financial platforms.<br> Experience with API integrations, webhooks, and automation tools (e.<br>g., Redis, BullMQ).<br> Strong understanding of data security, role-based access control (RBAC), and writing clean, maintainable code.<br> Bonus Points If You Have Experience with TypeScript on both the frontend and backend.<br> Familiarity with UI component libraries like MUI, Tailwind CSS, or Ant Design.<br> Experience deploying and managing applications on AWS, Google Cloud, or Docker.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As Data Engineer, you will participate in the different phases of Thales Digital Transformation Projects by collecting, modeling, and rendering our data in order to help end user to perform an accurate analysis of their business through reports and Dashboards.</p> <p><strong>Roles and Responsibilities</strong></p> <ul> <li>Assembling large, complex sets of data that meet non-functional and functional business requirements</li> <li>Developing reusable ETL Jobs use cases</li> <li>Conception of connectors/jobs</li> <li>Development of Talend Jobs, deployment and commissioning of the interfaces</li> <li>Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes</li> <li>Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using ETL and SQL technologies</li> <li>Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition</li> <li>Significate experience on data engineering Cloud environment (azure), especially on data services (incl. ADLS Gen 2, Synapse, ADF, Azure SQL DB, Analysis Services, Power Bi Services</li> <li>Highly skilled in Microsoft SQL Server Stack (Data Base Engine, Integration Services, Analysis Services, Power BI Reporting Services</li> <li>Advanced SQL, DAX, MDX and Query performance tuning Skills</li> <li>Very good Knowledge on Design Pattern of Data Product</li> <li>Demonstrate ability to manage multiple interfaces &amp; deal with IT resources in international context</li> <li>Familiar with fully automated CI/CD Pipelines (Azure DevOps) for code deployment, integration and test automation, code quality and orchestration for automated build and release.</li> <li>Ability to manage Row Level Security on each Layer of the data Chain</li> <li>Familiar with ETL Feeding mechanisms (Delta/Full Loading ,Historical data)</li> <li>Experience Building and Interacting with Data Lake Solutions</li> <li>Good knowledge on agile methodology</li> <li>Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues</li> <li>Build Data Warehouses, Data Marts and Data Cubes</li> <li>Maintain the ETL in operational condition</li> <li>Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues</li> <li>Experience using dbt for data transformation and modeling.</li> <li>Familiarity with distributed query engines such as Trino (or equivalent).</li> <li>Knowledge of object storage systems such as MinIO (or equivalent).</li> <li>Strong understanding of modern data architectures, including the medallion architecture</li> <li>Nice to have: Experience with scalable data pipelines on GCP (BigQuery, GCP, Dataproc)</li> <li>Support the qualification of the projects, extraction, transformation and load of the data (Data Scoping / Discovery)</li> <li>Technical Framing : Feasibility study, expression of needs, estimation of the load and timeframe</li> <li>Writing Technical Specifications</li> <li>Ensure documentation of achievements</li> <li>Enrich solution components catalogue</li> <li>User Support</li> <li>Customer oriented</li> <li>Quality minded and proactive approach</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Tools:</strong></p> <p>Talend Studio, Talend Data Integration Platform, Gitlab, Azure DevOps, Visual Studio, SQL server Management Studio, Dax Studio, Tabular editor</p> <ul> <li><strong>Expertise: </strong></li> </ul> <p>CI/CD notions, Data Modeling, Talend, SQL,Agile,SSAS</p> <ul> <li><strong>Educational:</strong></li> </ul> <p>In a master s degree in computer science/statistics/mathematics fields</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a AI Engineer 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> What you'll do: Ship AI features in our PHP/MySQL/React/Node stack with OpenAI API integration Extend our AI chatbot (Astro Core) with new capabilities like data visualization and analysis Help build out our external MCP connector (schema, auth, capabilities) Own prompt engineering as a core product discipline Build token metering, usage tracking, and tiered access controls Contribute to agent architecture: tool access, memory, token pool isolation Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production apps Strong prompt engineering skills (system prompts, function calling, structured outputs) Understanding of token economics and usage-based product design Experience with metered/rate-limited systems or billing integration Solid PHP and MySQL experience — comfortable in an existing production codebase React/Node for frontend features; TypeScript for backend MCP work Nice to have: RAG/vector DB exposure, LangChain/LlamaIndex familiarity, SaaS or ad-tech background, prior work on customer-facing agents.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>We’re Hiring: AI Software Engineer</b></p><p><br></p><p><b>Industry: AI / LLM Systems / Production-Grade Applications</b></p><p><br></p><p><b>About the Role</b></p><p><br></p><p>We are building production-grade AI systems powered by large language models. We are looking for an <b>AI Software Engineer</b> who deeply understands LLM behavior and can design reliable, efficient, and measurable AI systems not just call APIs. You will architect multi-step agent workflows, improve determinism, reduce hallucinations, and build evaluation systems that continuously measure accuracy and performance.</p><p><br></p><p><b>What You’ll Do</b></p><p><br></p><ul><li>Design and implement multi-step agent workflows</li><li>Build robust tool-calling systems for database interactions</li><li>Engineer context systems (schema compression, retrieval pipelines, token budgeting)</li><li>Improve structured output reliability (JSON schemas, function calls, validation)</li><li>Reduce hallucinations and improve model determinism</li><li>Generate and optimize complex SQL queries (joins, CTEs, performance tuning)</li><li>Build evaluation harnesses and regression testing systems for prompts</li><li>Benchmark models (Claude, GPT, Gemini, etc.)</li><li>Optimize token usage and latency</li></ul> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>What We’re Looking For</b></p><p><br></p><p><b>Core Requirements</b></p><p><br></p><ul><li>Deep understanding of LLM behavior (not just API usage)</li><li>Experience with agent frameworks (Claude Agents SDK, LangChain, Agno, etc.)</li><li>Strong prompt and context architecture experience</li><li>Structured outputs and validation systems</li><li>Strong SQL skills (joins, CTEs, performance optimization)</li><li>Strong Python skills</li></ul><p><b>Bonus Points</b></p><ul><li>You’ve shipped an LLM system to production</li><li>You’ve built evaluation systems</li><li>You’ve deployed production conversational chat AIs</li></ul><p><br></p><p><b><span></span>Success Metrics</b></p><p><br></p><p>We care about measurable results:</p><ul><li>Improved model accuracy</li><li>Reduced hallucination rate</li><li>Lower token usage per query</li><li>Faster response times</li><li>Clean, well-reasoned system design</li></ul></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <br> </p> <p> <span>The Company</span> </p> <p>Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience.</p> <p>Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers lives easier while continuously improving internal systems to deliver faster and at the best cost.</p> <p>If you re excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we d love to hear from you.</p> <p> <br> </p> <p> <span>About the Role</span> </p> <p>Are you passionate about building scalable backend systems while owning the cloud infrastructure that powers them? As a <span>Senior Backend Engineer (Platform &amp; DevOps) at Toters, you'll split your time between designing and developing production-grade backend services and improving the cloud platform, deployment pipelines, and operational excellence that enable our engineering teams to deliver software safely and efficiently.</span> </p> <p>In this role, you'll own services end-to-end from application design and implementation to deployment, monitoring, scalability, security, and production reliability. Working closely with Software Engineers, Product Managers, and Infrastructure teams, you'll help build resilient systems that power our products while continuously improving the developer experience.</p> <p> <span>In this role, you will:</span> </p> <p> <br> </p> <p> <span>Backend Engineering</span> </p> <ul> <li>Collaborate with cross-functional teams to translate business requirements into scalable backend solutions.</li> <li>Design, develop, test, and maintain high-performance backend services using PHP (Laravel).</li> <li>Design and build RESTful APIs and microservices that power customer-facing and internal applications.</li> <li>Write clean, maintainable, and well-tested code following engineering best practices.</li> <li>Optimize application performance, database queries, caching strategies, and system scalability.</li> <li>Participate in architecture discussions and contribute to technical decisions that improve long-term maintainability.</li> <li>Conduct thoughtful code reviews and mentor engineers through technical guidance and best practices.</li> </ul> <p> <span>Platform &amp; DevOps</span> </p> <ul> <li>Design, build, and maintain cloud infrastructure on AWS to support highly available and scalable applications.</li> <li>Build and improve CI/CD pipelines that enable fast, reliable, and secure software delivery.</li> <li>Manage containerized applications using Docker and Kubernetes.</li> <li>Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform or similar tools).</li> <li>Improve system observability through monitoring, logging, alerting, and performance dashboards.</li> <li>Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency.</li> <li>Participate in production incident response, troubleshooting, root cause analysis, and post-incident reviews.</li> <li>Implement security best practices for applications, infrastructure, secrets management, and access control.</li> <li>Continuously improve deployment processes, operational tooling, and developer experience across engineering teams.</li> </ul> <p> <br> </p> <p> <span>Key Qualifications</span> </p> <ul> <li>Bachelor s degree in Computer Science, Engineering, or a related field.</li> <li>6+ years of experience in backend software engineering, with significant hands-on experience in cloud infrastructure and DevOps practices.</li> <li>Strong experience developing backend applications using <span>PHP (Laravel).</span> </li> <li>Solid understanding of Object-Oriented Programming (OOP), SOLID principles, design patterns, and software architecture.</li> <li>Experience designing and building RESTful APIs, distributed systems, and microservices.</li> <li>Strong experience with relational databases such as <span>PostgreSQL or MySQL, along with caching technologies such as Redis.</span> </li> <li>Strong hands-on experience with <span>AWS, including services such as EC2, ECS, Lambda, RDS, S3, IAM, CloudWatch, VPC, and SQS.</span> </li> <li>Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools.</li> <li>Experience working with <span>Docker and Kubernetes in production environments.</span> </li> <li>Experience using Infrastructure as Code tools such as <span>Terraform or CloudFormation.</span> </li> <li>Strong understanding of Linux systems, networking fundamentals, and cloud security best practices.</li> <li>Experience implementing monitoring, logging, and observability solutions using tools such as CloudWatch, Grafana, Prometheus, or the ELK stack.</li> <li>Experience owning production systems, participating in on-call rotations, and resolving production incidents.</li> <li>Strong communication skills with the ability to collaborate across teams and mentor engineers.</li> <li>Passion for building scalable, secure, and reliable systems while continuously improving engineering excellence.</li> </ul> <p> <br> </p> <p> <span>Nice to Have</span> </p> <ul> <li>Experience with <span>Go, Python, or additional backend programming languages.</span> </li> <li>Experience with messaging and streaming technologies such as <span>Kafka, RabbitMQ, or AWS SQS/SNS.</span> </li> <li>Experience deploying serverless applications using AWS Lambda.</li> <li>Experience with Helm, ArgoCD, or GitOps workflows.</li> <li>Experience building Internal Developer Platforms (IDPs) or improving developer tooling.</li> <li>Experience with service mesh technologies such as Istio or Linkerd.</li> <li>Experience working in high-growth technology companies, e-commerce, or on-demand delivery platforms.</li> <li>AWS certifications are a plus.</li> </ul> <p> <br> </p> <p> <span>Why Toters?</span> </p> <ul> <li>Flexible work environment with hybrid-friendly roles.</li> <li>Opportunity to work across software engineering and cloud infrastructure, building systems that directly power Toters' products.</li> <li>Solve complex engineering challenges involving backend architecture, cloud infrastructure, automation, and distributed systems.</li> <li>Collaborate with talented engineers in a culture of ownership, mentorship, and continuous learning.</li> <li>Direct impact on products used by thousands of customers every day.</li> <li>Competitive compensation package.</li> <li>Exclusive discounts on Toters orders.</li> <li>First-class medical insurance.</li> </ul></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>A confidential AI-driven technology company specializing in software engineering, digital transformation, and intelligent business solutions is looking for an experienced Technical Lead to join its remote engineering team.</p><p>We serve clients across the UK, Europe, the US, and the GCC/MENA region, delivering scalable, high-impact digital products for international organizations.</p><p>Responsibilities:</p><ul><li>Lead and mentor a cross-functional engineering team across the full delivery lifecycle</li><li>Define and enforce technical standards, architecture decisions, and best practices</li><li>Collaborate closely with project managers and clients to translate requirements into scalable solutions</li><li>Conduct code reviews and ensure high standards of quality, security, and performance</li><li>Drive agile ceremonies including sprint planning, stand-ups, and retrospectives</li><li>Identify and resolve technical risks and bottlenecks proactively</li><li>Contribute hands-on to development when needed</li></ul><p>Requirements:</p><ul><li>7+ years of software engineering experience, with at least 2 years in a technical leadership role</li><li>Strong proficiency in full-stack development (frontend, backend, APIs, cloud infrastructure)</li><li>Experience with AI-powered systems, automation, or data platforms is a strong plus</li><li>Solid understanding of agile methodologies and DevOps practices</li><li>Excellent communication skills in English (French or Arabic is a plus)</li><li>Proven track record of delivering production-grade systems for international clients</li><li>Experience working in remote, distributed teams</li></ul><p>What we offer:</p><ul><li>Fully remote role with flexible working hours</li><li>Exposure to international clients across the UK, Europe, the US, and the Gulf</li><li>Continuous learning through AI training, bootcamps, and mentoring</li><li>Collaborative, people-first culture with clear career growth paths</li><li>Competitive compensation package</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>AI/ML Integration, Python, Node.js, React, Microservices, AWS, Docker, Kubernetes, CI/CD, System Design, Technical Roadmapping, Client-Facing Communication, MLOps, Data Engineering</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We’re looking for a hands-on AI Automation Engineer to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.<br> You’ll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.<br> This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.<br> ❏ Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools ❏ Build AI agents that automate customer service, operations, sales, reporting, and internal business processes ❏ Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications ❏ Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data ❏ Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks ❏ Develop AI-powered assistants, chatbots, and internal copilots for business users ❏ Build automated reporting, monitoring, and business intelligence workflows ❏ Conduct workflow discovery sessions and identify automation opportunities across departments ❏ Create technical documentation, architecture diagrams, and deployment guidelines ❏ Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability ❏ Collaborate with designers, strategists, and developers to deliver AI-powered business solutions ❏ Have 3+ years of experience building workflow automation, integrations, or digital business systems ❏ Have hands-on experience with n8n, Make.<br>com, Zapier, or similar automation platforms ❏ Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies ❏ Understand prompt engineering, AI orchestration, and agent-based systems ❏ Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations ❏ Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools ❏ Have experience working with structured and unstructured data ❏ Have basic programming knowledge in JavaScript, Python, or TypeScript ❏ Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks ❏ Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems ❏ Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies ❏ Have built customer service, sales, HR, finance, or operations AI agents ❏ Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications ❏ Think in systems and enjoy simplifying complex business processes ❏ Communicate clearly and take ownership of delivery ❏ Have strong troubleshooting and problem-solving skills ❏ Are comfortable working directly with clients and stakeholders ❏ Can deliver production-ready AI and automation solutions that create measurable operational efficiencies ❏ Have a track record of reducing manual processes through intelligent automation ❏ Can design scalable automation frameworks that can be reused across multiple projects and clients ❏ Continuously identify opportunities to introduce AI and automation into business operations</span> </div>

<p><strong>Job Description Role Overview:</strong> 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. 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. 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><p><strong>Key Responsibilities</strong></p><ol><li><strong>Data Engineering &amp; Platform Development</strong> Design and implement enterprise-scale Lakehouse architectures using OneLake and Delta Lake. Build and maintain robust batch, incremental, CDC, and near real-time data ingestion pipelines. Develop scalable ETL/ELT solutions using Fabric Data Pipelines, Dataflows Gen2, PySpark, and SQL. Implement and manage Medallion Architecture (Bronze, Silver, Gold). Develop reusable and metadata-driven ingestion and transformation frameworks. Integrate data from ERP systems, SAP, REST APIs, SQL Server, Dataverse, and other enterprise applications. Design and maintain enterprise data models supporting analytical and operational workloads.</li><li><strong>Fabric Engineering &amp; Optimization</strong> Develop and optimize Fabric Lakehouses and Data Warehouses. Build advanced Notebook-based transformations utilizing PySpark and Spark SQL. Implement Delta Lake capabilities including: Merge/Upsert Change Data Feed (CDF) Time Travel Schema Evolution Optimize Vacuum Design scalable storage, partitioning, and file management strategies within OneLake. Optimize Spark workloads and Data Warehouse performance.</li><li><strong>Performance, Reliability &amp; Monitoring</strong> Tune large-scale Spark and SQL workloads. Implement monitoring, alerting, and operational dashboards using Fabric Monitoring Hub and Metrics. Conduct performance testing and scalability assessments. Troubleshoot pipeline failures and platform performance bottlenecks. Define and monitor SLAs for critical data assets and pipelines. Ensure high availability and operational excellence across data workloads.</li><li><strong>DevOps &amp; Platform Automation</strong> Implement CI/CD using Fabric Git Integration and Deployment Pipelines. Build automated deployment processes across Development, Test, and Production environments. Develop automated testing frameworks for data quality, schema validation, and regression testing. Manage environment configurations, secrets, and deployment parameters. Utilize Azure DevOps or GitHub Actions to support release automation and governance. Define rollback, release management, and change control processes.</li><li><strong>Data Quality, Governance &amp; Security</strong> Implement automated data quality validation frameworks. Develop reconciliation, completeness, and consistency checks. Manage data lineage, metadata, and documentation standards. Implement sensitivity labels, access controls, auditing, and compliance requirements. Ensure adherence to organizational standards for governance, security, retention, and PII handling. Manage workspace permissions, Managed Identities, RLS, and CLS where required.</li><li><strong>Technical Leadership &amp; Collaboration</strong> Translate business requirements into scalable technical solutions. Collaborate with Data Architects, Data Analysts, Integration Engineers, and business stakeholders. Lead engineering best practices and platform standards. Mentor junior engineers and support knowledge-sharing initiatives. Produce architecture documentation and technical design specifications. Drive continuous improvement of the data platform and engineering practices.</li></ol><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications and Experience:</h2><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><h2>Required Technical Skills</h2><ul><li>Microsoft Fabric</li><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><li>Data Engineering</li><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><li>Performance Optimization</li><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><li>Integration</li><li>REST APIs</li><li>SQL Server</li><li>SAP</li><li>Azure Storage</li><li>Dataverse</li><li>Enterprise Application Integration</li><li>DevOps</li><li>Git</li><li>Azure DevOps</li><li>GitHub Actions</li><li>YAML Pipelines</li><li>CI/CD</li><li>Automated Testing</li><li>Security &amp; Governance</li><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>