Heavy equipment mechanical engineer Jobs

Company Description <br>RAY Labs is a PropTech company based in Beirut, focused on addressing the pain points related to space and community management. Our core product is a mobile and web SaaS platform offering dynamic features, allowing property, facility, and community managers to efficiently manage communities and spaces. By equipping stakeholders with the relevant capabilities and tools, our platform improves operational efficiency, payment convenience, community engagement, and reduces administrative work. <br> <br>Position Overview <br>As a Junior DevOps Engineer, you will play a key role in modernizing the development and deployment lifecycles of our company, by collaborating with our development teams to build and maintain development/deployment pipelines. <br> <br>Responsibilities <br>· Automate deployment, scaling, and management of containerized applications using Kubernetes (on Azure services and on VMs) <br>· Maintain and enhance CI/CD pipelines in Jenkins for our codelines: <br>· Backend (PHP, Java) <br>· Frontend (Angular) <br>· Mobile (iOS, Android) <br>· Deploy and manage monitoring and logging tools to provide centralized reporting for production environments, as well as alerts when critical issues occur. <br>· Assist developers in monitoring, troubleshooting, and resolving issues in production environments. <br> <br>Requirements <br>· 1+ years of experience in a DevOps or related role. <br>· Basic understanding of Kubernetes (min. 6 months hands-on experience or certification). <br>· Experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps, or equivalent). <br>· Familiarity with cloud platforms, particularly Azure (knowledge of AWS or GCP is a plus). <br>· Experience with containerization technologies (Docker). <br>· Knowledge of infrastructure as code tools (Terraform, Ansible, Helm, or similar). <br>· Experience with version control (Git). <br>· Basic scripting knowledge (Bash, Python, Groovy, or similar). <br>· Excellent problem-solving skills and attention to detail. <br>· Strong communication and teamwork abilities

MAIN DUTIES AND RESPONSIBILITIES: <br>• Supervise daily site activities related to CCTV, access control, alarm, intercom, networking, structured cabling, and other ELV systems. <br>• Lead and distribute daily tasks among technicians and subcontractors according to the approved work plan. <br>• Ensure that installations comply with approved drawings, BOQ, technical specifications, and company standards. <br>• Review site layouts, shop drawings, cable schedules, network diagrams, and system requirements before execution. <br>• Supervise cable pulling, termination, labeling, testing, device installation, rack arrangement, and network connections. <br>• Configure and troubleshoot IP cameras, NVRs, switches, routers, access points, access control panels, intercoms, and alarm systems. <br>• Assign IP addresses and ensure proper network connectivity, device communication, and remote access. <br>• Coordinate with Project Coordinator, technical team, clients, suppliers, warehouse, and other site contractors. <br>• Submit and follow up on material requests and report missing, damaged, or incorrect materials. <br>• Monitor technicians’ performance, work quality, productivity, attendance, and compliance with safety procedures. <br>• Conduct site inspections and identify installation issues, technical obstacles, and required corrective actions. <br>• Prepare daily site reports, completed-work records, testing results, material usage reports, and progress updates. <br>• Coordinate testing, commissioning, system integration, client demonstrations, and final handover activities. <br>• Ensure that all cables, devices, racks, and system components are properly installed, labeled, tested, and documented. <br>• Maintain updated records of device IP addresses, passwords, configurations, serial numbers, and network connections. <br>• Provide technical guidance and on-site training to technicians when required. <br>• Ensure that tools, testing equipment, and company assets are properly used and maintained. <br>• Support preventive and corrective maintenance activities for installed ELV systems. <br>• Ensure that all pending remarks, testing records, as-built drawings, and handover requirements are completed before project closure. <br>REGULATORY REQUIREMENTS, EDUCATION, EXPERIENCE, AND SKILLS: <br>• Bachelor’s degree or technical diploma in Information Technology, Computer Engineering, Networking, Telecommunications, Electronics, or a related field. <br>• Minimum of 3 years of practical experience in ELV system installation, supervision, configuration, and troubleshooting. <br>• Strong IT and networking background, including TCP/IP, subnetting, IP addressing, switches, routers, VLANs, Wi-Fi, and remote access. <br>• Good technical knowledge of CCTV, NVRs, access control, intrusion alarm, fire alarm, intercom, structured cabling, and related systems. <br>• Ability to read ELV drawings, layouts, network diagrams, BOQ, datasheets, and technical manuals. <br>• Practical experience with cable termination, testing equipment, racks, patch panels, fiber optics, and network cabling is preferred. <br>• Strong leadership and ability to supervise technicians, subcontractors, and daily site activities. <br>• Good coordination, reporting, communication, troubleshooting, and problem-solving skills. <br>• Ability to manage multiple tasks, prioritize site activities, and meet project deadlines. <br>• Good knowledge of Microsoft Office; ERP/Odoo experience is an advantage. <br>• Strong attention to detail and the ability to work under pressure and at different project sites. <br>• Fluency in Arabic and good command of English; French is an advantage

<p>Our client, a telecom company is seeking an Energy Engineer to support the design, simulation, and evaluation of energy solutions for a wide range of power and renewable energy projects. The role involves performing energy modelling, technical analysis, costing evaluations, and preparing reports to ensure solutions meet customer requirements, technical standards, and commercial objectives. The ideal candidate has a solid understanding of electrical and renewable energy systems, strong analytical skills, and hands-on experience with energy simulation software.</p><p><b><br></b></p><p><b>Key Responsibilities</b></p><ul><li>Perform energy simulations and technical analyses for solar, hybrid, battery energy storage (BESS), generator, and other energy solutions.</li><li>Design and evaluate optimized energy solutions based on technical, operational, and financial requirements.</li><li>Support feasibility studies and energy performance assessments for customer projects.</li><li>Assist in sizing renewable energy systems and evaluating different technology options.</li><li>Develop and run energy models using software such as HOMER, PVsyst, and other simulation tools.</li><li>Analyze system performance, energy production, consumption profiles, and lifecycle costs.</li><li>Validate simulation outputs and recommend design improvements where required.</li><li>Prepare technical and financial models to support project proposals and solution selection.</li><li>Conduct lifecycle cost analysis, ROI calculations, and energy savings evaluations.</li><li>Support pricing exercises by providing accurate technical inputs and costing assumptions.</li><li>Collect, validate, and analyze project and site data.</li><li>Prepare technical reports, energy assessment reports, performance analyses, and customer documentation.</li><li>Develop dashboards and analytical reports using advanced Excel.</li><li>Maintain and improve energy modelling templates, simulation tools, and costing databases.</li><li>Document engineering methodologies and ensure compliance with internal standards.</li><li>Support continuous improvement initiatives within the Energy Engineering team.</li><li>Provide technical support to internal departments including Sales, Presales, Projects, and Operations.</li><li>Assist operating entities with technical evaluations and energy-related requests.</li><li>Collaborate with multidisciplinary teams to ensure successful project execution.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Electrical Engineering or Energy Engineering.</li><li>1-3 years of experience in energy engineering, renewable energy, or electrical solution design.</li><li>Experience in solar PV, hybrid power systems, battery storage, or distributed energy solutions is preferred.</li><li>Knowledge of renewable energy technologies and energy systems.</li><li>Experience with energy simulation software such as:</li><ul><li>HOMER</li><li>PVsyst</li><li>Other energy modelling tools is a plus.</li></ul><li>Strong understanding of:</li><ul><li>Solar PV systems</li><li>Battery Energy Storage Systems (BESS)</li><li>Diesel generators</li><li>Hybrid energy solutions</li><li>Electrical power systems</li></ul><li>Advanced Microsoft Excel skills (formulas, data analysis, financial models).</li><li>Knowledge of energy costing and techno-commercial evaluations.</li><li>Strong analytical and problem-solving abilities.</li><li>The candidate must have proficient English, and fluency in French is mandatory.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span >We are seeking a highly skilled and detail-oriented Quality Assurance Engineer to join our team. The ideal candidate will have a strong background in quality processes, a knack for ensuring seamless functionality across browsers and devices, and excellent communication skills in both English and Arabic.</span></p> <p>Mobile Testing and Release Management</p> <ul> <li>End to end testing of mobile applications (iOS and Android)</li> <li>Experience with app distribution and release processes on</li> <li>Apple App Store Connect</li> <li>Google Play Console</li> <li>Ownership of mobile release lifecycle including build validation, smoke testing, and production verification</li> <li>Understanding of mobile issues such as device compatibility, OS versions, and network conditions</li> </ul> <p>API Testing</p> <ul> <li>Strong experience in REST API testing</li> <li>Tools include Postman and Swagger</li> <li>Validation of requests and responses, status codes, and error handling</li> </ul> <p>Web Testing</p> <ul> <li>Functional testing of web applications and features</li> <li>Cross browser and responsive testing</li> <li>Debugging using browser developer tools</li> <li>Understanding of frontend basics such as HTML, CSS, and JavaScript</li> </ul> <p>Monitoring and Analysis</p> <ul> <li>Crash reports and analytics</li> <li>Performance metrics</li> <li>Ability to investigate production issues using logs</li> </ul> <p>Test Automation</p> <ul> <li>Experience in UI automation using Playwright or Selenium</li> <li>Writing and maintaining automated test scripts</li> <li>Familiarity with test frameworks and design patterns</li> <li>Integration with pipelines</li> </ul> <p>Test Management</p> <ul> <li>Writing clear test cases and test plans</li> <li>Executing regression, smoke, and sanity testing</li> <li>Defect tracking using Jira</li> <li>Strong attention to detail and testing mindset</li> </ul> <p>Release and Environment Management</p> <ul> <li>Coordinating releases across platforms</li> <li>Pre-release and post-release validation</li> <li>Environment verification for staging and production</li> <li>Rollback validation and hotfix testing</li> </ul> <p>Performance Monitoring</p> <ul> <li>Basic understanding of performance testing</li> <li>Monitoring application stability</li> </ul> <p>Database Validation</p> <ul> <li>Basic SQL skills</li> <li>Validating data integrity and backend flows</li> </ul> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Soft Skills</p> <ul> <li>Strong communication with teams\</li> <li>Clear bug reporting and documentation</li> <li>Ownership and accountability</li> <li>Good time management</li> <li>Problem solving and analytical thinking</li> </ul> <p>Additional Skills</p> <ul> <li>Experience with tools</li> <li>Knowledge of Agile methodologies</li> <li>Basic understanding of security and performance testing</li> <li>Experience with mobile automation tools</li> </ul></div>

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

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

<p><h4>Description</h4> <p>Kaizen Asset Management Services is at the forefront of integrating advanced technology within the asset and property management sector. We are currently looking for a talented Full Stack Engineer to join our dynamic team remotely. In this role, you will be responsible for developing and maintaining our web applications, contributing to both front-end and back-end development while ensuring a seamless user experience.</p> <h4>Key responsibilities:</h4> <ul> <li>Design, build, and maintain efficient, reusable, and reliable code for both front-end and back-end applications.</li> <li>Collaborate with UI/UX designers to implement intuitive and responsive user interfaces that enhance user engagement.</li> <li>Develop server-side logic, define and maintain databases, and ensure high performance and responsiveness to requests from the front-end.</li> <li>Work with a variety of web technologies, frameworks, and languages, ensuring optimal architecture and functionalities.</li> <li>Participate in code reviews, contributing to team knowledge sharing and continuous improvement initiatives.</li> <li>Identify and troubleshoot performance and scalability issues, implementing solutions to enhance the user experience.</li> <li>Stay up-to-date with emerging technologies and industry trends, applying them to improve our products.</li> </ul> <h4>Requirements</h4> <p><strong>I. Education:</strong><br> Bachelor's degree in Computer Science, Software Engineering, or a related field.</p> <p><strong>II. Experience:</strong><br> Minimum of 3 years of professional experience in full-stack development.</p> <p><strong>III. Technical skills:</strong></p> <ul> <li>Proficient in front-end technologies such as HTML, CSS, and JavaScript frameworks (e.g., React, Angular, or Vue.js).</li> <li>Strong experience in back-end languages such as Node.js, Python, Ruby, or Java.</li> <li>Hands-on experience with database management systems (SQL and NoSQL, e.g., PostgreSQL, MongoDB).</li> <li>Understanding of RESTful API design and integration.</li> <li>Familiarity with version control systems, especially Git.</li> <li>Experience with cloud services (AWS, Azure, etc.) is a plus.</li> </ul> <p><strong>IV. Soft skills:</strong></p> <ul> <li>Excellent problem-solving and analytical skills.</li> <li>Strong communication skills, with the ability to articulate complex technical concepts clearly.</li> <li>Ability to work effectively in a remote team environment.</li> <li>Strong attention to detail and commitment to high-quality deliverables.</li> </ul> <p><strong>V. Preferred qualifications:</strong></p> <ul> <li>Experience in the asset management or real estate sector.</li> <li>Keen interest in agile methodologies and participation in an agile development team.</li> </ul></p><p></p>

<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>

<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>

<p>As a Cloud Software Engineer - Full Stack Developer, you are responsible for designing, developing, and maintaining both frontend and backend components of cloud-based applications. You will create scalable and efficient solutions that meet the needs of our users, in addition to working with modern cloud technologies, implementing features, and ensuring the overall performance, security, and usability of our applications. Design, develop, and maintain both frontend and backend components of cloud-based applications. Implement user-facing features and user interfaces that are responsive, visually appealing, and intuitive. Develop server-side logic and APIs. Design and develop cross-platform mobile applications using React Native. Ensure the performance, quality, and responsiveness of the applications. Collaborate with designers and product managers to implement user-friendly interfaces. Leverage cloud platforms (such as AWS, Azure, Google Cloud) to build, deploy, and manage applications. Implement serverless and microservices architectures for improved scalability and performance. Collaborate with UI/UX designers to ensure seamless integration of design elements and user experience. Work with product managers and other stakeholders to understand requirements and translate them into technical solutions. Design and implement databases, ensuring data integrity and optimal performance. Write and optimize database queries to retrieve and manipulate data efficiently. Implement security best practices to ensure the confidentiality, integrity, and availability of user data. Optimize application performance for speed and scalability, considering both frontend and backend aspects. Set up and manage automated deployment pipelines to ensure rapid and reliable releases. Implement testing strategies to validate the functionality and performance of the application. Identify and resolve bugs, bottlenecks, and performance issues in the application. Conduct thorough testing and debugging of the application at various stages of development. Stay up to date with emerging technologies, trends, and best practices in cloud computing and full stack development. Propose innovative solutions to enhance the architecture, scalability, and performance of applications.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, or related field (Master's preferred).</li><li>Proven experience as a Full Stack Developer or similar role, with a focus on cloud-based applications.</li><li>Experience with cloud platforms like AWS, Azure, or Google Cloud, including services like EC2, Lambda, S3, DynamoDB, etc.</li><li>Strong understanding of database design and management (SQL, NoSQL).</li><li>Familiarity with RESTful APIs, microservices architecture, and containerization (Docker, Kubernetes).</li><li>Knowledge of version control using Git and collaboration using platforms like GitHub or GitLab.</li><li>Proficiency in programming languages such as JavaScript (Node.js, React, Angular, or Vue) and backend languages (Python, Java, Ruby, etc.).</li><li>Understanding of Agile development methodologies and DevOps practices.</li><li>Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.</li><li>Strong communication skills to effectively convey complex technical concepts to both technical and non-technical team members.</li><li>Proficiency in written and spoken English with outstanding abilities to communicate in person, in writing, and over the phone.</li><li>Excellent time management and organizational skills.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for an intermediate Full-Stack 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> Role Overview This role is a strong fit for someone whose center of gravity is backend design, API design, and system evolution.<br> You’ll help modernize and grow a cloud-based SaaS platform used in real operational environments, with the chance to shape both new features and the way existing systems are improved over time.<br> What you’ll do Design, build, and refine full stack features for a multi-tenant SaaS platform serving enterprise restaurant and catering customers.<br> Design and implement backend services and REST APIs with strong attention to clarity, maintainability, and backward compatibility.<br> Work across Java/Spring services and modern React/Node.<br>js applications as part of an evolving platform.<br> Contribute to architectural improvements and help move existing patterns toward more event-driven designs over time.<br> Write automated tests and help maintain a reliable, secure, production-ready engineering environment.<br> Author and maintain CI/CD workflows in GitHub Actions and participate in the full lifecycle from design through deployment.<br> Collaborate closely with product and engineering peers to turn real-world customer needs into thoughtful software solutions.<br> Take ownership of the features you build, with a strong focus on follow-through, product quality, and steady delivery.<br> Professional experience as a full stack engineer, with strong backend depth and comfort working across the stack.<br> Strong experience with Java, Spring Boot, and Hibernate in production systems.<br> Production experience with React and Node.<br>js. Experience designing and implementing REST APIs in real-world applications.<br> Experience working with cloud-based SaaS applications and multi-tenant product considerations.<br> Familiarity with message-based or event-driven systems.<br> Experience shipping meaningful software in e-commerce, ERP, or CRM environments; e-commerce experience is especially relevant for this role.<br> Commitment to automated testing, code quality, and secure development practices, including awareness of common web security risks.<br> Experience with CI/CD pipelines, including hands-on work with GitHub Actions or similar tooling.<br> Nice to have Experience with approval workflows, complex pricing, or enterprise order flows.<br> Exposure to POS integrations or payment gateways.<br> Experience with Azure Cosmos DB or other document databases.<br> Familiarity with observability practices and OTEL-style instrumentation.<br> Exposure to infrastructure-as-code tools, or interest in learning within an established cloud environment.<br> Experience in hospitality, restaurant, or catering software.<br></span> </div>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI engineer 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>This is a builder role for someone obsessed with what agents can actually do in production. 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. You won't just be wiring up LLM calls. 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.</p> <h4>Key responsibilities</h4> <li>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</li> <li>Architect tool-using agents with reliable planning, execution, and recovery</li> <li>Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring</li> <li>Partner with product and design to translate agentic capabilities into UX that members actually use and trust</li> <li>Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently</li> <li>Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production</li> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI engineer 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>This is a builder role for someone obsessed with what agents can actually do in production. 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. You won't just be wiring up LLM calls. 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.</p> <h4>Key responsibilities</h4> <li>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</li> <li>Architect tool-using agents with reliable planning, execution, and recovery</li> <li>Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring</li> <li>Partner with product and design to translate agentic capabilities into UX that members actually use and trust</li> <li>Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently</li> <li>Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production</li> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<p><h4>Description</h4> <p>Kaizen Asset Management Services is at the forefront of integrating advanced technology within the asset and property management sector. We are currently looking for a talented Full Stack Engineer to join our dynamic team remotely. In this role, you will be responsible for developing and maintaining our web applications, contributing to both front-end and back-end development while ensuring a seamless user experience.</p> <h4>Key responsibilities:</h4> <ul> <li>Design, build, and maintain efficient, reusable, and reliable code for both front-end and back-end applications.</li> <li>Collaborate with UI/UX designers to implement intuitive and responsive user interfaces that enhance user engagement.</li> <li>Develop server-side logic, define and maintain databases, and ensure high performance and responsiveness to requests from the front-end.</li> <li>Work with a variety of web technologies, frameworks, and languages, ensuring optimal architecture and functionalities.</li> <li>Participate in code reviews, contributing to team knowledge sharing and continuous improvement initiatives.</li> <li>Identify and troubleshoot performance and scalability issues, implementing solutions to enhance the user experience.</li> <li>Stay up-to-date with emerging technologies and industry trends, applying them to improve our products.</li> </ul> <h4>Requirements</h4> <p><strong>I. Education:</strong><br> Bachelor's degree in Computer Science, Software Engineering, or a related field.</p> <p><strong>II. Experience:</strong><br> Minimum of 3 years of professional experience in full-stack development.</p> <p><strong>III. Technical skills:</strong></p> <ul> <li>Proficient in front-end technologies such as HTML, CSS, and JavaScript frameworks (e.g., React, Angular, or Vue.js).</li> <li>Strong experience in back-end languages such as Node.js, Python, Ruby, or Java.</li> <li>Hands-on experience with database management systems (SQL and NoSQL, e.g., PostgreSQL, MongoDB).</li> <li>Understanding of RESTful API design and integration.</li> <li>Familiarity with version control systems, especially Git.</li> <li>Experience with cloud services (AWS, Azure, etc.) is a plus.</li> </ul> <p><strong>IV. Soft skills:</strong></p> <ul> <li>Excellent problem-solving and analytical skills.</li> <li>Strong communication skills, with the ability to articulate complex technical concepts clearly.</li> <li>Ability to work effectively in a remote team environment.</li> <li>Strong attention to detail and commitment to high-quality deliverables.</li> </ul> <p><strong>V. Preferred qualifications:</strong></p> <ul> <li>Experience in the asset management or real estate sector.</li> <li>Keen interest in agile methodologies and participation in an agile development team.</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 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <span><b>The Company</b></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.<br> <br> </p> <p> <span><b>About the role</b></span> </p> <p>We re looking for a Mid-Level Android Engineer who takes ownership of delivering medium-to-large features end-to-end, from design to production. You ll make technical decisions independently, manage risks and dependencies, and ensure reliable, high-quality releases that drive team and product impact.</p> <p>You ll design scalable Android modules, write clean, maintainable, and well-tested code, and improve existing workflows through automation, tooling, and documentation. You ll collaborate closely with Product, Design, QA, and Backend teams to resolve ambiguity early and deliver features smoothly across functions.</p> <p>As a key contributor, you ll also provide informal mentorship, share knowledge through code reviews, and help onboard and guide newer engineers, reinforcing a culture of collaboration and continuous improvement.</p> <p>In this role, you will:</p> <ul> <li>Lead the delivery of medium-to-large mobile features from design to production.</li> <li>Break down requirements, estimate effort, and manage risks with minimal oversight.</li> <li>Write clean, maintainable code with strong unit and integration test coverage.</li> <li>Design and implement scalable modules aligned with team architecture standards.</li> <li>Ensure stability post-launch through proactive testing, monitoring, and debugging.</li> <li>Collaborate closely with Product, Design, QA, and Backend teams to deliver high-quality user experiences.</li> <li>Improve team efficiency through automation, tooling enhancements, and better documentation.</li> <li>Provide constructive code reviews and support peers through informal mentorship.<br> <br> </li> </ul> <p> <span><b>Key Qualifications</b></span> </p> <ul> <li>Bachelor s degree in Computer Science or a related field.</li> <li>3 5 years of professional experience in Android development.</li> <li>Strong proficiency in Kotlin and experience with Jetpack Compose and other Jetpack libraries.</li> <li>Familiarity with Dependency Injection (DI) frameworks.</li> <li>Experience designing and building Android features or modules following best practices and design patterns.<br>Understanding of mobile architecture principles, performance optimization, and scalability basics.</li> <li>Knowledge of the mobile development lifecycle, including testing and debugging.</li> <li>Experience with Git and collaborative development workflows.</li> <li>Ability to write clean, maintainable, and well-tested code.</li> <li>Good problem-solving skills and ability to work independently with minimal guidance.</li> <li>Experience with app analytics or crash reporting tools (e.g., Firebase Analytics, Crashlytics) is a plus.</li> <li>Familiarity with reactive programming (RxKotlin, Flows, etc.) is a plus.</li> <li>Strong communication and collaboration skills within a cross-functional team.<br> <br> </li> </ul> <p> <span><b>Why Toters?</b></span> </p> <ul> <li>Flexible work environment with hybrid-friendly roles.</li> <li>Opportunity to lead impactful initiatives and shape technical strategy.</li> <li>Collaborate with talented engineers while growing your career.</li> <li>Strong culture of mentorship, collaboration, 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>

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>Aspire Software is looking for a Data Scientist 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: We are looking for a Senior Machine Learning Engineer who wants to own that evolution.<br> This is not a research-only role.<br> You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services.<br> Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.<br> What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.<br> Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.<br> Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.<br> Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.<br> Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior.<br> Trace customer-reported issues to their root cause and turn incidents into lasting improvements.<br> Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.<br> Tech Stack Python 3.<br>11, FastAPI, Pydantic, SQLAlchemy 2.<br>0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog Experience taking machine-learning systems from problem definition through production deployment and monitoring.<br> Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.<br> A solid foundation in statistics, experimentation, forecasting, and model evaluation.<br> Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.<br> Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.<br> Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.<br> Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.<br> A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.<br> The judgment to balance model sophistication with reliability, explainability, and business value.<br> Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.<br> Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.<br> A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.<br> Years of experience are a useful signal, but not the deciding factor.<br> We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.<br> Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.<br> Probabilistic demand forecasting or hierarchical Bayesian modeling.<br> Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.<br> Causal inference and off-policy evaluation.<br> Model drift, data-quality monitoring, and experiment-tracking systems.<br> Multi-tenant SaaS or event-driven architectures.<br> Debugging distributed systems and third-party integrations in production.<br> LLM applications and agentic workflows.<br> AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.<br> Hospitality experience is welcome, but not required.<br> We will help you learn the domain.<br> What We Value Speed with quality — Ship fast, but ship code and models a staff engineer would approve AI-native workflow — You don't just know about AI tools, you use them daily to write, debug, and architect Ownership — Pick up a problem and drive it to completion without hand-holding Simplicity — Elegant solutions over over-engineered ones.<br> Minimal code that does the job Curiosity — Our domain (hotel revenue optimization) has real depth.<br> You're excited to learn it</span> </div>

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>