Automotive Engineer Jobs - Beirut Lebanon

Monitor project progress and ensure that work is completed according to the approved schedule. <br>- Perform site inspections and ensure proper execution of structural, concrete, masonry, finishing, and other civil works. <br>- Check quantities, measurements, and materials used on site. <br>- Prepare daily and periodic site reports and document project progress. <br>- Identify technical problems on-site and propose appropriate engineering solutions. <br>- Ensure compliance with health, safety, and environmental regulations. <br>- Monitor the quality of materials and workmanship and report any deficiencies. <br>- Assist in preparing BOQs, cost estimates, material requirements, and project documentation. <br>- Follow up on material deliveries and ensure materials are available according to project requirements

Key Responsibilities: <br>• Coordinate between Hospital Management and technical teams to ensure smooth operations <br>• Plan, supervise, and manage corrective and preventive maintenance activities across all hospital departments <br>• Ensure compliance with accreditation standards, ISO 9001:2015 quality procedures, and maintenance policies <br>• Oversee maintenance work orders, daily inspections, and timely resolution of technical issues <br>• Conduct technical evaluations for new equipment and monitor equipment condition, performance, and depreciation <br>• Manage hospital assets, warranty claims, service contracts, suppliers, and procurement coordination <br>• Develop maintenance schedules, monitor KPIs, and prepare maintenance and performance reports <br>• Train, evaluate, mentor, and support technical staff and new engineers <br>• Support implementation and follow-up of digital maintenance systems and operational improvements <br>• Provide technical and operational support as required <br> <br>Requirements: <br>• Bachelor’s degree in Electromechanical Engineering or related field <br>• Experience in maintenance management, preferably in healthcare or facility management <br>• Strong knowledge of electromechanical systems, biomedical equipment, and maintenance practices <br>• Familiarity with accreditation standards and ISO 9001 quality systems <br>• Strong leadership, communication, and problem-solving skills <br>• Ability to manage multiple priorities in a dynamic environment

We are looking for a Solar Energy Engineer to join our construction team. The role will be responsible for the design, estimation, coordination, and supervision of solar energy systems for residential, commercial, and construction projects. <br> <br>Key Responsibilities <br> <br>Design and develop solar PV systems based on project requirements and site conditions. <br>Prepare solar system layouts, technical specifications, and equipment selections. <br>Perform load calculations, energy assessments, and system sizing. <br>Prepare BOQs, quantity take-offs, cost estimates, and commercial quotations. <br>Review technical drawings, specifications, and tender documents. <br>Coordinate with architects, MEP engineers, contractors, suppliers, and subcontractors. <br>Supervise the installation of solar panels, inverters, mounting structures, batteries, and related equipment. <br>Conduct site visits and assess roof areas, shading, orientation, and installation requirements. <br>Monitor installation progress and ensure compliance with approved drawings and technical standards. <br>Review suppliers' technical and commercial offers and assist in procurement. <br>Conduct testing, commissioning, and troubleshooting of solar systems. <br>Prepare technical reports, progress reports, and project documentation. <br>Ensure that all works comply with applicable safety and quality requirements. <br>Coordinate solar works with other construction and MEP activities. <br> <br>Requirements <br> <br>Bachelor’s degree in Electrical, Mechanical, Renewable Energy Engineering, or a related field. <br>2–5 years of experience in solar energy, renewable energy, MEP, or construction projects. <br>Strong knowledge of solar PV systems, inverters, batteries, and mounting systems. <br>Experience in solar system design, sizing, and estimation. <br>Ability to read and interpret technical drawings and BOQs. <br>Good knowledge of AutoCAD and MS Office, particularly Excel. <br>Knowledge of solar design software such as PVsyst is an advantage. <br>Strong communication, coordination, and problem-solving skills. <br>Ability to manage multiple projects and meet deadlines. <br>Previous experience in a construction or MEP company is preferred

Job Summary <br> <br>We are seeking a skilled and motivated Core Network Engineer to join our network engineering team and support the operation, maintenance, optimization, and expansion of our IP core and backbone infrastructure. The successful candidate will help ensure network availability, performance, scalability, and security while supporting the delivery of reliable Internet and digital services to residential, business, and wholesale customers. <br> <br>Key Responsibilities <br> <br>• Operate, maintain, and troubleshoot IP core, backbone, aggregation, and edge networks. <br>• Configure and manage routers, switches, and related network infrastructure. <br>• Implement and troubleshoot routing protocols, including BGP and OSPF, and support MPLS-based services where applicable. <br>• Monitor network performance, capacity, availability, and service quality, identifying and resolving issues proactively. <br>• Troubleshoot complex connectivity, routing, packet loss, latency, congestion, and interoperability issues. <br>• Support IP transit, peering, upstream connectivity, and interconnection activities. <br>• Assist in implementing network expansions, upgrades, migrations, and new service deployments. <br>• Support network redundancy, high availability, traffic engineering, and disaster recovery procedures. <br>• Collaborate with the NOC, field operations, systems, security, and service delivery teams to resolve incidents and maintain service continuity. <br>• Maintain accurate network diagrams, configurations, technical documentation, and operational procedures. <br>• Follow change management, incident management, and network security procedures. <br>• Participate in on-call rotations and planned maintenance activities when required. <br> <br>Technical Requirements <br> <br>• Good understanding of IP networking, TCP/IP, subnetting, IPv4, and IPv6. <br>• Hands-on experience with routing and switching technologies, including BGP, OSPF, VLANs, and link aggregation. <br>• Knowledge of MPLS, VRF, QoS, and traffic engineering concepts. <br>• Experience configuring and troubleshooting routers and switches from vendors such as Cisco, Juniper, Huawei, or MikroTik. <br>• Familiarity with DNS, DHCP, NAT, RADIUS/AAA, and network addressing services. <br>• Understanding of network monitoring tools and protocols, including SNMP, syslog, and NetFlow or equivalent technologies. <br>• Basic knowledge of network security, ACLs, firewalls, DDoS mitigation, and secure network management. <br>• Familiarity with network redundancy, failover mechanisms, and high-availability architectures. <br>• Exposure to ISP operations, Internet transit, peering, and backbone capacity management is an advantage. <br> <br>Education & Certifications <br> <br>• Bachelor’s degree in Telecommunications Engineering, Computer Engineering, Electrical Engineering, Information Technology, or a related discipline. <br>• Relevant professional certifications, such as CCNA, JNCIA, or equivalent, are an advantage. <br>• Equivalent practical experience may be considered in place of formal qualifications. <br> <br>Required Skills & Competencies <br> <br>• Strong analytical, troubleshooting, and problem-solving skills. <br>• Ability to investigate network incidents systematically and identify root causes. <br>• Good understanding of network operations and service availability requirements. <br>• Ability to work effectively within a technical team and coordinate with other departments. <br>• Clear communication and technical documentation skills. <br>• Good time management and ability to prioritize incidents according to business impact. <br>• Willingness to learn new technologies and adapt to a rapidly evolving network environment. <br> <br>Experience <br> <br>• Typically 2–4 years of hands-on experience in IP networking, network engineering, or ISP operations. <br>• Experience supporting production networks and resolving customer-impacting incidents is preferred

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Senior DevOps Engineer will play a key role in building, optimizing, and maintaining robust cloud‑native infrastructure on AWS. The role focuses on automation, security, scalability, and supporting engineering teams in delivering high‑quality solutions. The Engineer will also act as a consultant to internal and external stakeholders, helping shape DevOps best practices in dynamic and evolving environments.<br><br>The Key Responsibilities are:<br><br></span><ul><li>Design, implement, and maintain CI/CD pipelines supporting secure, automated, and scalable deployment processes.<br></li><li>Build and manage cloud infrastructure on AWS using services such as EC2, ECS, EKS, Lambda, and related components.<br></li><li>Implement DevSecOps and MLOps practices across the development lifecycle.<br></li><li>Use Infrastructure as Code (Terraform or CloudFormation) to provision, manage, and scale environments.<br></li><li>Architect authentication and authorization setups using AWS Cognito, OAuth, and Single Sign‑On (SSO).<br></li><li>Monitor, troubleshoot, and optimize environments in highly dynamic or rapidly changing infrastructures.<br></li><li>Collaborate closely with engineering teams, product owners, and clients to define requirements, propose solutions, and ensure smooth delivery.<br></li><li>Professionally challenge or advise clients when needed as part of stakeholder management responsibilities.<br></li><li>Drive best practices in automation, cloud operations, and security.<br></li><li>Participate in greenfield initiatives and projects built from scratch, including early‑stage or startup‑style environments.<br></li></ul><br><br><span>Requirements</span><ul><li>Bachelor’s degree in Computer Science, Software Engineering, or a related field.<br></li><li>5+ years of experience as a DevOps Engineer.<br></li><li>Strong hands‑on experience with AWS (non‑negotiable).<br></li><li>Proficiency in CI/CD pipeline setup and management.<br></li><li>Strong experience in DevSecOps and MLOps practices.<br></li><li>Experience with container orchestration (Kubernetes or ECS) or serverless architectures.<br></li><li>Proficiency with Infrastructure as Code tools (Terraform or CloudFormation).<br></li><li>Solid experience with IAM and Authentication mechanisms, including AWS Cognito, OAuth, and SSO integrations.<br></li><li>Demonstrated experience in startup environments, consultancy, freelance projects, greenfield projects, or building systems from scratch.<br></li><li>Strong stakeholder management skills with the ability to push back professionally when required.<br></li><li>High adaptability and comfort working in ambiguous environments, unstable roadmaps, or immature infrastructures.<br></li><li>Excellent English communication skills.<br></li><li>Ability to work from 9 AM to 6 PM.<br></li><li><b>This opportunity is remote for Egyptian applicants and Hybrid for Lebanese applicants.</b><br></li></ul><i>Disclaimer:</i><br><br><i>We use Zoho Recruit and other AI tools to help review and organize job applications (for example, reading CVs, reorganizing, and extracting CV information). These tools are only used to assist our team.<br> No hiring decision is made solely by automated means; all applications are subject to human review and assessment.</i><br><br><br><br> </div>

<p>The ideal candidate will have a Bachelor s degree in computer science, Software Engineering, Information Technology, or a related field. Minimum 6 years of professional full-stack software development experience. Strong hands-on experience with React, Next.js, TypeScript, Node.js, and modern JavaScript frameworks. Solid experience designing and consuming RESTful APIs. Strong knowledge of PostgreSQL and relational database design. Excellent understanding of software architecture, data modeling, automated testing, debugging, and application performance optimization. Ability to analyze business requirements and proactively identify missing requirements, logical inconsistencies, and edge cases. Experience reviewing and improving AI-generated frontend and backend code. Strong problem-solving skills with excellent attention to detail. Excellent verbal and written communication skills.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s degree in computer science, Software Engineering, Information Technology, or a related field.</li><li>Minimum 6 years of professional full-stack software development experience.</li><li>Strong hands-on experience with React, Next.js, TypeScript, Node.js, and modern JavaScript frameworks.</li><li>Solid experience designing and consuming RESTful APIs.</li><li>Strong knowledge of PostgreSQL and relational database design.</li><li>Excellent understanding of software architecture, data modeling, automated testing, debugging, and application performance optimization.</li><li>Ability to analyze business requirements and proactively identify missing requirements, logical inconsistencies, and edge cases.</li><li>Experience reviewing and improving AI-generated frontend and backend code.</li><li>Strong problem-solving skills with excellent attention to detail.</li><li>Excellent verbal and written communication skills.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Experience within FinTech, Digital Banking, Payments, Banking-as-a-Service (BaaS), or other regulated industries.</li><li>Experience designing approval workflows, authorization systems, customer onboarding (KYC), organizational hierarchies, or permission management platforms.</li><li>Hands-on experience with React Native mobile application development.</li><li>Experience integrating third-party financial APIs including KYC/AML providers, payment gateways, or card issuing platforms.</li><li>Familiarity with enterprise security principles and modern authentication systems.</li><li>Ability to understand and work with software written in Java, Kotlin, or C# when required.</li></ul><p><strong>AI-Driven Engineering Experience</strong></p><ul><li>Daily experience using AI coding assistants such as ChatGPT, GitHub Copilot, Cursor, Claude, or similar platforms.</li><li>Strong prompt engineering skills to generate accurate and reliable AI-assisted code.</li><li>Experience reviewing, validating, and correcting AI-generated software.</li><li>The ability to distinguish between technically correct code and business-correct behavior, ensuring every feature meets user expectations and business objectives.</li></ul>

PROMEDIC Holding, a leading healthcare turnkey solutions provider across the MENA/GCC region, is looking for an Electrical Engineer with 2–3 years of estimation experience to prepare cost estimates and technical proposals for hospital electrical infrastructure and medical gas network projects. <br> <br>Key Responsibilities <br>* Study hospital project tenders, architectural/MEP drawings, and specifications to prepare accurate cost estimates <br>* Prepare BOQs and material take-offs for hospital electrical systems (LT panels, isolated power supply/IPS systems, UPS, emergency power, nurse call wiring, lighting, earthing) <br>* Prepare cost estimates for medical gas pipeline networks (oxygen, vacuum, medical air, nitrous oxide) in coordination with the medical gas engineering team <br>* Obtain quotations from equipment manufacturers and local subcontractors; negotiate pricing <br>* Prepare techno-commercial proposals for hospital tenders across Lebanon and GCC markets <br>* Coordinate with design, procurement, and project teams to finalize scope for turnkey healthcare projects <br>* Analyze tender documents for technical compliance with healthcare facility standards (HTM, NFPA 99, local MOH requirements) <br>* Prepare rate analysis, cost sheets, and margin/profitability reports <br>* Maintain estimation database and track ongoing hospital tenders/opportunities <br>* Support pre-qualification submissions for hospital and healthcare facility projects <br>* Liaise with hospital administrators, consultants, and architects during the bidding stage <br> <br>Required Skills <br>* Knowledge of electrical systems relevant to healthcare facilities (isolated power supply, essential/emergency power, nurse call backbone, low-voltage systems, earthing/equipotential bonding) <br>* Familiarity with medical gas systems is a plus (training can be provided) <br>* Proficiency in AutoCAD for reading/marking up MEP drawings <br>* Strong Excel skills for estimation sheets and BOQs <br>* Awareness of healthcare facility standards (NFPA 99, HTM 06-01, IS/local codes) <br>* Ability to read and interpret electrical drawings, SLDs, and hospital MEP specifications <br>* Strong analytical and numerical skills <br> <br>Qualification <br>Bachelor's or Master's degree in Electrical Engineering <br> <br>Other Requirements <br>* Good communication skills for coordination with vendors, hospital clients, and consultants <br>* Ability to work under tender deadlines across regional (GCC) projects <br>* High attention to detail and accuracy in costing <br>* Willingness to travel occasionally for site visits/regional coordination

We are seeking an experienced Senior Backend / Platform Engineer to join a Swiss Company for its back office in Lebanon to play a critical role in building the architectural foundation of a next-generation multi-tenant digital banking platform. <br>The ideal candidate should meet the following requirements: <br>• Bachelor’s degree in computer science, Software Engineering, Information Technology, or related discipline. <br>• Minimum 8 years of backend software engineering experience. <br>• At least 5 years of hands-on experience developing applications using Node.js, TypeScript, and NestJS (or similar enterprise frameworks). <br>• Proven experience designing and implementing large-scale multi-tenant SaaS platforms. <br>• Strong expertise in PostgreSQL, including Row-Level Security (RLS), schema design, indexing, query optimization, and performance tuning. <br>• Solid experience implementing OAuth2, OpenID Connect, JWT authentication, Single Sign-On (SSO), and Multi-Factor Authentication (MFA). <br>• Hands-on experience building and managing Docker-based applications and CI/CD pipelines. <br>• Strong understanding of cloud infrastructure, preferably Microsoft Azure. <br>• Extensive knowledge of secure software development practices, encryption technologies, secrets management, and API security. <br>• Proven experience integrating external APIs, including payment gateways, financial services, KYC providers, or similar enterprise integrations. <br>• Strong analytical thinking, problem-solving, and software architecture skills. <br>• Excellent communication skills and the ability to work collaboratively in cross-functional engineering teams. <br> <br>Preferred Qualifications <br>• Previous experience within FinTech, Digital Banking, Payments, or Banking-as-a-Service (BaaS). <br>• Experience with API Gateways, Service Meshes, Message Queues, and Event-Driven Architectures. <br>• Knowledge of distributed systems monitoring, observability, logging, and tracing. <br>• Experience participating in large-scale platform modernization or single-tenant to multi-tenant migrations. <br>• Working knowledge of React and Next.js sufficient to review frontend API contracts. <br>• Ability to understand and review software written in other programming languages such as Java, Kotlin, or C#. <br> <br>AI-Driven Engineering Experience <br>• Daily hands-on experience using AI coding assistants such as ChatGPT, GitHub Copilot, Cursor, Claude, or similar platforms. <br>• Strong prompt engineering skills with the ability to produce accurate technical specifications for AI coding agents. <br>• Experience reviewing, validating, and improving AI-generated code. <br>• A deep understanding of where AI-generated code may introduce architectural, security, or scalability risks

<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>

Role Overview <br>We are expanding our operations in the Democratic Republic of Congo and looking for an exceptional mechanical engineer to join our site team. <br> <br>If you are a hands-on mechanical expert who thrives in heavy industrial environments and excels at maximizing equipment uptime, diagnosing complex mechanical failures, and optimizing machinery performance, this role is for you! You will be the technical backbone ensuring our heavy assets operate safely, efficiently, and reliably. <br> <br>Key Responsibilities <br>Equipment Reliability & Maintenance: Develop and execute comprehensive preventive and predictive maintenance programs for heavy machinery and industrial equipment to maximize operational uptime. <br> <br>Root-Cause Failure Analysis: Lead investigations into mechanical breakdowns, component failures, and system anomalies. Design and implement permanent engineering solutions to prevent recurrence. <br> <br>Technical Oversight & Spare Parts Specifications: Define technical specifications for critical spare parts, review material quality, and collaborate with procurement to ensure replacement components meet rigorous engineering standards. <br> <br>Installation & Commissioning: Oversee the installation, alignment, testing, and commissioning of new mechanical systems, hydraulic/pneumatic circuits, and heavy plant equipment. <br> <br>Workshop & Team Leadership: Guide on-site technicians and mechanical teams during complex repairs, ensuring strict adherence to safety protocols, quality standards, and standard operating procedures (SOPs). <br> <br>Role Requirements & Qualifications <br>Education: Bachelor’s degree in Mechanical Engineering or a closely related technical engineering discipline. <br> <br>Language: Proficiency in French (spoken and written) for effective on-site communication and technical oversight

<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>

Role Overview <br>Build production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does. <br>Tasks & Responsibilities <br>Design and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP. <br>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring. <br>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace). <br>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached. <br>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head. <br>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made. <br>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case. <br>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does. <br>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls. <br>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client. <br>Write modular infrastructure as code (Terraform) for AI workloads on AWS. <br>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship. <br>Competencies <br>Can explain to a client, in plain language, why an agent made the tool call it made <br>Comfortable debugging a production LLM failure under time pressure, not just in a notebook <br>Can wire an MCP server into an agent and debug why a tool call didn't fire <br>Education, Experience & Language <br>Master's degree in Computer Science or equivalent <br>Previous experience building and shipping production ML/AI systems <br>Fluent in English and Arabic <br>Tools & Certifications <br>Strong Python engineering; comfort with AWS <br>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design <br>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases <br>Nice to have: AWS Certified Machine Learning Engineer – Associate, AWS Certified Generative AI Developer – Professional, AWS Certified Solutions Architect – Associate or Professional, AWS Certified Developer – Associate, AWS Certified Security – Specialty (relevant given our compliance posture) <br>To Apply visit: https://digicosolutions.bamboohr.com/careers/33

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About OLX Lebanon OLX Lebanon is the #1 marketplace for selling and buying online in Lebanon.<br> Our aim is to upgrade people’s lives by facilitating deals and identifying attractive opportunities for individuals and businesses.<br> Our broader vision is to strengthen local economies, empower small businesses and help everyone in making smarter choices for themselves, the market and the planet.<br> OLX Lebanon is proudly rooted in the local market while bringing global marketplace standards to our users.<br> Our team is driven by innovation, agility, and a deep understanding of the Lebanese consumer landscape.<br> We embrace a culture of ownership, creativity, and purpose—where every team member contributes to building smarter solutions that truly make a difference in people’s everyday lives.<br> About the role As a Data Engineer at OLX Lebanon, you will help own and evolve the company's modern data platform and ensure that trusted, timely data is available to the business.<br> You will work across the end-to-end data lifecycle: integrating operational and third-party sources, building and maintaining reliable data pipelines, modelling data for analytics, supporting business intelligence, and operating the platform in production.<br> The role is suited to an experienced engineer who can work independently and take meaningful ownership of a production data environment.<br> Own, operate, and continuously improve OLX Lebanon's production data platform and its core ingestion, transformation, and serving workflows.<br> Design, build, maintain, and troubleshoot reliable batch and incremental data pipelines from operational databases, APIs, cloud storage, and third-party systems.<br> Develop and maintain scalable warehouse models across raw, staging, intermediate, dimensional, and reporting layers.<br> Develop, optimize, and review SQL and Python used for ingestion, transformation, reconciliation, automation, and operational tooling.<br> Build and maintain transformation-as-code workflows using dbt or comparable modern data transformation frameworks.<br> Implement robust production patterns including idempotent processing, retries, schema evolution, scheduling/orchestration, monitoring, alerting, and failure recovery.<br> Ensure data quality and accuracy through automated tests, source-to-target reconciliation, freshness checks, and clear operational controls.<br> Own and support cloud data warehouse workloads, including performance, access, reliability, and cost optimisation.<br> Work with object storage and cloud services used for data ingestion and platform operations, particularly AWS/S3 and related services.<br> Support Power BI and the analytics layer by providing well-modelled, documented, performant datasets and by helping build or troubleshoot reports when required.<br> Partner closely with OLX Data Team as they own business requirements, metric interpretation, and an increasing share of Power BI dashboard development.<br> Collaborate with product, engineering, marketing, growth, finance, advertising, and other business teams through the analytics team where appropriate.<br> Apply strong software-engineering practices including Git-based version control, code review, testing, documentation, deployment discipline, and reusable design.<br> Maintain appropriate data access, privacy, security, and governance controls for sensitive and business-critical data.<br> Document pipelines, models, dependencies, operational procedures, and architecture so that the platform can be supported by more than one engineer.<br> A fast-paced, high-performing team.<br> Learning &amp; Development opportunities.<br> #LebanonOLX Hold a Bachelor’s degree in a relevant field or equivalent professional experience.<br> Approximately 4+ years of relevant data engineering experience for mid-senior candidates; Senior candidates should demonstrate deeper independent ownership rather than relying on years alone.<br> Hands-on experience building and operating production ETL/ELT pipelines and cloud-based analytical data platforms.<br> Strong experience with at least one modern cloud data warehouse or lakehouse platform such as Snowflake, Amazon Redshift, Azure Synapse, Google BigQuery, Databricks, or equivalent.<br> Strong hands-on SQL and Python experience.<br> Familiar with dimensional modelling, analytical warehouse design, and working with large-scale datasets.<br> Understanding of dbt is strongly preferred; equivalent transformation-as-code approaches or strong SQL modelling understanding is acceptable.<br> Understanding of cloud infrastructure and object storage concepts.<br> Comfortable with BI and analytics workflows; familiarity with Power BI is a plus.<br> Excellent SQL and strong Python engineering skills.<br> Ability to diagnose production data issues independently across ingestion, transformation, warehouse, and BI layers.<br> Strong Git, code review, testing, documentation, and software-engineering practices.<br> Ability to balance reliability, performance, maintainability, and cloud cost.<br> Ability to communicate technical issues clearly to analysts, engineers, managers, and non-technical stakeholders.<br> Strong written and verbal English.<br> Show attention to detail, analytical thinking, and a continuous learning mindset.<br> Be driven, self-motivated, and able to handle pressure in a fast-paced environment.<br> Live the team values: Simpler.<br> Better. Faster.</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for an 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> 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> About the Job This position sits within our New Products division, building new products on a modern technology stack.<br> Our engineering teams are organized as functional pods: small groups that own a product end to end, from data model through to release, with no dependency on a separate team to deploy.<br> This structure requires engineers who work confidently across the full stack, exercise independent judgment without detailed specifications, and deliver at pace.<br> Key responsibilities Build and maintain customer-facing products using Next.<br>js and Python, backed by PostgresQL Develop Al-powered product features, including retrieval over customer data, agentic workflows and natural-language interfaces Implement integrations with CRM platforms such as Salesforce and HubSpot, and with the hospitality systems our customers operate Own the underlying data layer, covering schema design, query performance and data exchange with external systems AI-Native Engineering This position assumes fluency with Al in two respects.<br> Building with Al: demonstrated experience delivering features on LLM APIs, including prompt design, structured output, evaluation of output quality, cost management at scale, and judgment about when a model is not the appropriate solution.<br> Developing with Al : established use of tools such as Claude Code or Cursor in your standard workflow, with sound judgment about what to delegate, what requires verification, and where these tools produce inaccurate results.<br> Profesional proficiency in Python and TypeScript/Next.<br>js, with suficient breadth to adopt additional languages as required Strong database capability beyond basic operations, including schema design, indexing and query optimization Experience integrating third-party APls, covering authentication, rate limiting, pagination and failure handling A demonstrated record of delivering software to production and supporting it in operation Sound product judgment, with the ability to scope work from objectives rather than specifications Written English suitable for daily asynchronous collaboration with colleagues in North America Preferred Qualifications Hospitality or travel technology; Salesforce or HubSpot development; vector databases, retrieval-augmented generation or agent frameworks; cloud infrastructure and CI/CD Working environment Pods carry genuine ownership, including visibility of how their products perform in production.<br> All work is peer reviewed, and we prioritize delivering focused functionality and iterating on it over long planning cycles.<br> The Lebanon office collaborates daily with colleagues in North America, with some overlap hours expected.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for an 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> About the job: This is a builder role for someone obsessed with what agents can actually do in production.<br> You'll design and ship autonomous AI systems that operate inside the Polygon marketplace — agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years.<br> You won't just be wiring up LLM calls.<br> You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.<br> Key Responsibilities Design and build agentic systems that power core marketplace experiences — listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics Architect tool-using agents with reliable planning, execution, and recovery Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring Partner with product and design to translate agentic capabilities into UX that members actually use and trust Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production 3 - 5 years of experience Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming Experience designing and running evals for non-deterministic systems Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</span> </div>

Tasks & Responsibilities: <br>• Setting sales goals and developing sales strategies. <br>• Provide technical, support information to customer. <br>• Provide sales quotations, solutions and technical support. <br>• Process sales orders. <br>• Contacting potential and existing customers on the phone, by email, and in person. <br>• Obtain client feedback and coordinate with the team to check the progress of existing projects. <br>• Preparing and sending quotes and proposals. <br>• Handling customer questions, inquiries, and complaints. <br>• Conduct follow-ups on all proposal and achieve sales target. <br>• Handle, manage & update client records. <br> <br>Skills: <br>• Communication <br>• Negotiation <br>• Customer Service <br>• Time Management <br>• Computer skills: Microsoft 365 and AutoCAD. <br>• Details Oriented <br> <br>Related Experience: <br>• Fresh graduate. <br> <br>Education: <br> <br>• Bachelor Degree in Mechanical Engineer or related field. <br> <br>Abilities: <br>• Oral & Written Comprehension: the ability to listen to read and understand information and ideas presented through spoken words and sentences and in writing. <br>• Oral & Written Expression: the ability to communicate information and ideas in speaking and writing so others will understand

We are looking for: <br>A data engineer with Practical experience in Python, SQL, databases, data processing, and automation, with an interest in working across business data and applied AI. <br>The role focuses on building reliable data pipelines, integrating and transforming data from multiple sources, automating data processes, and supporting the datasets and workflows behind our image-recognition solutions. <br>  <br>Responsibilities include: <br>Build and maintain data pipelines and ETL/ELT processes. <br>Extract, transform, validate, and integrate data from databases, APIs, Excel, CSV, FTP/SFTP, and cloud sources. <br>Develop Python/Pandas scripts for data processing and automation. <br>Write and optimize SQL queries for data extraction, transformation, and reconciliation. <br>Ensure data quality, consistency, and integrity across systems. <br>Automate recurring data-processing, validation, and reporting workflows. <br>Prepare and manage datasets used for image-recognition and computer-vision models. <br>Monitor model outputs and investigate data-related recognition errors and performance issues. <br>Support model training, testing, evaluation, and comparison of model versions. <br>Build datasets and data processes that support Power BI and business reporting. <br>Collaborate with development, business, and data teams to deliver practical data solutions. <br> <br>What we are looking for: <br>Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Software Engineering, or a related field. <br>1–3 years of relevant experience in data engineering, data processing, automation, or a related technical role. <br>Good knowledge of Python, Pandas, SQL, and relational databases. <br>Understanding of ETL/ELT and data-pipeline concepts. <br>Strong analytical and problem-solving skills. <br>Strong attention to data quality and accuracy. <br>Comfortable working with large, messy, real-world datasets. <br>Familiarity with APIs and formats such as JSON, XML, CSV, and Excel. <br>Good communication and documentation skills. <br>  <br>Nice to Have: <br>Experience with Azure, Azure Data Factory, Databricks, Airflow, or similar tools. <br>Power BI experience. <br>Git/GitHub and Docker. <br>REST APIs and FTP/SFTP integrations. <br>Experience with computer vision or machine learning. <br>Familiarity with PyTorch, TensorFlow, or similar frameworks. <br>Knowledge of model evaluation metrics such as precision, recall, F1 score, and confidence thresholds. <br>Experience with FMCG, retail, sales, customer, or field-force data. <br> <br>Growth Opportunity: <br>The role offers exposure to data engineering and applied AI, with opportunities to grow into advanced data engineering, analytics engineering, machine learning, computer vision, and AI infrastructure. <br> <br>Location is in Lebanon. <br>Send CV to careers@e-qualitygroup.com

<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>

Position: Indoor Sales Engineer <br>Employer Type: Full-time <br> <br>Tasks and Responsibilities: <br> <br>o Collaborate with the sales team to understand customer requirements and project specifications. <br>o Prepare accurate technical and commercial quotations for new elevator installations, modernization, and replacement projects. <br>o Review customer inquiries, drawings, and project documentation to develop suitable elevator solutions. <br>o Attend customer meetings, project negotiations, and technical presentations to explain product features and recommend appropriate elevator systems. <br>o Negotiate commercial and technical proposals with clients to secure orders while maintaining company profitability. <br>o Build and maintain strong relationships with customers by providing professional technical support throughout the sales process. <br>o Identify missing customer or project information required to prepare accurate estimates and proposals. <br>o Coordinate with engineering, procurement, suppliers, and manufacturing teams to ensure the feasibility and accuracy of proposed solutions. <br>o Follow up on submitted quotations and maintain regular communication with customers until order confirmation. <br>o Assist customers throughout the project lifecycle, from initial inquiry through project completion, including coordinating financing applications when applicable. <br>o Ensure quotations comply with company standards, technical specifications, and customer requirements. <br>o Maintain records of quotations, customer interactions, and sales activities within the company's ERP system. <br>o Stay updated on elevator products, industry standards, safety regulations, and market trends. <br>o Support the achievement of departmental sales targets and business objectives. <br>o Ensure that all contracts are aligned within OTIS policies and procedures. <br> <br>Skills: <br>• Technical Skills: understanding the inner working of elevator & escalator systems. <br>• Communication: communicating with others to convey information effectively. <br>• Customer service: interacting with customers to communicate effectively about their needs. <br>• Computer skills: MS Office, AutoCAD <br> <br>Related Experience: <br>• 0-3 year of experience in the elevator field. <br>• Previous experience in sales is a plus. <br>Education: <br>• A Bachelor’s degree in Mechanical Engineering <br>Abilities: <br>• Oral and Written Comprehension – the ability to listen and read to and understand information and ideas presented through spoken words and in writing. <br>• Oral & Written Expression: the ability to communicate information and ideas in speaking and writing so others will understand

The role <br>You'll be working alongside our Delivery team on real client infrastructure and internal company platforms. You'll get hands-on with core AWS services, containerization, and CI/CD pipelines, while learning how Digico Solutions uses Claude, agentic coding tools, and MCP-based workflows to move faster across engagements. <br>This is an onsite role at our Beirut office <br> <br>What you'll do <br>Support delivery engineers on live client engagements: provisioning basic AWS services (EC2, S3, VPC, IAM, RDS), troubleshooting, and documenting as you go. <br>Build and maintain GitHub Actions CI/CD pipelines — build, test, deploy stages — under engineer review. <br>Write and debug Dockerfiles; get comfortable with basic Kubernetes concepts (pods, deployments, services) through guided tasks, not solo ownership. <br>Use Claude, agentic coding tools, and Anthropic Skills/MCP as part of your daily workflow — for scripting, debugging, documentation, and repetitive delivery tasks — and give feedback on where they help or fall short. <br>Keep your task tracker (Linear) and documentation (Notion) up to date as you go — this is how you learn our delivery discipline, not paperwork for its own sake. <br>Shadow client calls and internal architecture discussions to see how design decisions get made. <br> <br>What you'll bring <br>A degree in progress or recently completed in Computer Science, Computer Engineering, or a related field. <br>Basic working knowledge of AWS core services (EC2, S3, IAM, VPC) — coursework, personal projects, or certifications all count. <br>Some exposure to Docker and a basic conceptual understanding of Kubernetes (Production experience is not required). <br>Comfort using Git/GitHub, and enough scripting (Python or Bash) to automate small tasks. <br>Strong written English and Arabic. <br>Curiosity, reliability, and a willingness to ask questions rather than guess on client-facing work. <br>Nice to have <br>AWS Cloud Practitioner certification. <br>Any personal or academic project involving CI/CD, containers, or infrastructure-as-code. <br>Prior exposure to Terraform. <br>Familiarity with the concept of MCP (Model Context Protocol) or agentic workflows, even at a conceptual level. <br> <br> <br>What we offer <br>Real engagements, real accountability. Your work touches actual client infrastructure under senior review. <br>Direct mentorship from delivery engineers and the Engineering Team Lead. <br>A stipend for the 3-month duration. <br>A strong shot for a full-time offer if the fit is right