Cyber Security Engineer Jobs in Lebanon
1994 Jobs Found
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>• Administer Windows and/or Linux server environments, virtualisation platforms, storage and associated infrastructure services.<br> • Monitor availability, capacity and performance; investigate alerts and restore service within agreed priority and escalation procedures.<br> • Plan and execute approved patching, configuration changes, hardening and lifecycle maintenance.<br> • Maintain server inventories, configuration records, operating procedures, diagrams and technical runbooks.<br> • Support incident, problem and change management, including root-cause analysis and corrective actions.<br> • Coordinate infrastructure dependencies with network, cloud, backup, cybersecurity, application and database teams.<br> • Support discovery, baseline assessment and transition activities for on-premises and any subsequently approved hosted environment.<br> • Participate in agreed on-call coverage for critical infrastructure incidents.<br> • Minimum 6 years of relevant infrastructure and server administration experience.<br> • Strong hands-on experience with Windows Server and/or enterprise Linux, Active Directory and virtualisation technologies.<br> • Practical knowledge of monitoring, patch management, storage, capacity planning and security hardening.<br> • VCP, MCSE/Microsoft role-based certification, RHCSA or Server+ preferred.<br> • Ability to produce clear technical documentation and work within controlled change processes.<br> • Experience operating hybrid on-premises and cloud environments.<br></span> </div>
<p>About the Role We're looking for an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.</p><p>What You'll Do</p><ul><li>Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis</li><li>Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs</li><li>Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale</li><li>Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior</li><li>Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding</li><li>Collaborate with product and design to translate workflows into robust technical experiences</li><li>Ship production features across the stack, from the model layer to the application</li><li>Monitor, debug, and improve system performance, token efficiency, and guardrails</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Qualifications</p><ul><li>3+ years of software engineering experience, with hands-on work building LLM-powered applications</li><li>Strong proficiency in Python and/or TypeScript/JavaScript</li><li>Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)</li><li>Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)</li><li>Understanding of multi-agent systems, tool use, and function calling</li><li>Experience designing evaluation and testing strategies for non-deterministic AI outputs</li><li>Solid grasp of API design, async processing, and scalable backend architecture</li><li>Comfort working in a fast-moving, ambiguous, early-stage environment</li></ul>
<p>We're looking for an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.</p><p><b>What You'll Do</b></p><ul><li>Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis</li><li>Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs</li><li>Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale</li><li>Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior</li><li>Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding</li><li>Collaborate with product and design to translate workflows into robust technical experiences</li><li>Ship production features across the stack, from the model layer to the application</li><li>Monitor, debug, and improve system performance, token efficiency, and guardrails</li></ul><p><strong>Desired Candidate Profile</strong></p><p>3+ years of software engineering experience, with hands-on work building LLM-powered applications</p><p>Strong proficiency in Python and/or TypeScript/JavaScript</p><p>Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)</p><p>Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)</p><p>Understanding of multi-agent systems, tool use, and function calling</p><p>Experience designing evaluation and testing strategies for non-deterministic AI outputs</p><p>Solid grasp of API design, async processing, and scalable backend architecture</p><p>Comfort working in a fast-moving, ambiguous, early-stage environment</p>
<p><h4>Description</h4>
<p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p>
<p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p>
<h4>Software engineer (backend)</h4>
<p>We're hiring a backend software engineer to design, build, and maintain the server-side systems that power our products. You'll own APIs, services, and data layers—writing clean, reliable code and shipping features that scale. We embrace modern AI-assisted development tools to work faster and smarter, and you'll be encouraged to use them.</p>
<h4>Responsibilities</h4>
<ul>
<li>Design, build, and maintain backend services, APIs, and databases</li>
<li>Write clean, testable, well-documented code</li>
<li>Optimize applications for performance, scalability, and reliability</li>
<li>Collaborate with frontend engineers, product, and design to deliver features</li>
<li>Participate in code reviews, architecture discussions, and on-call rotations as needed</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Strong programming skills in one or more backend languages (e.g. Python, Go, Java, Node.js)</li>
<li>Experience designing and building RESTful or GraphQL APIs</li>
<li>Solid understanding of databases (SQL and/or NoSQL) and data modeling</li>
<li>Familiarity with version control, testing, and CI/CD practices</li>
<li>Comfortable using AI-assisted development tools (e.g. GitHub Copilot, Claude) to boost productivity</li>
</ul>
<h4>Nice to have</h4>
<ul>
<li>Experience with cloud platforms (AWS, GCP, or Azure)</li>
<li>Knowledge of containerization and orchestration (Docker, Kubernetes)</li>
<li>Familiarity with microservices architecture</li>
</ul></p><p></p>
Senior Civil Project Manager
<br>
<br>Location:Lebanon
<br>Experience Level: Minimum 20 years
<br>Employment Type: Full-time
<br>
<br>About the Role
<br>
<br>We are seeking a highly experienced and strategic Senior Civil Project Manager to lead complex structural enhancement and infrastructure upgrade projects. In this critical role, you will oversee large-scale facility improvements, ensuring structural integrity, modernization, and compliance with the latest engineering standards.
<br>
<br>With a minimum of 20 years of experience, you will bring deep expertise in structural assessments, project lifecycle management, and delivering high-quality civil engineering solutions for existing structures. If you have a proven track record of transforming and upgrading complex assets, we want you on our team.
<br>
<br>Key Responsibilities
<br>
<br>Project Leadership: Lead and manage comprehensive structural upgrade and facility modernization projects from conception through to successful handover.
<br>
<br>Strategic Planning: Oversee detailed structural assessments and develop strategic plans to enhance the lifespan, safety, and functionality of existing assets.
<br>
<br>Team Coordination: Collaborate with multidisciplinary teams, including architects, structural engineers, contractors, and external stakeholders, to ensure seamless project execution.
<br>
<br>Financial and Schedule Management: Manage project budgets, timelines, and resource allocation to deliver projects on schedule and within financial parameters.
<br>
<br>Compliance and Quality: Ensure all construction and enhancement activities strictly comply with local building codes, safety regulations, and the highest quality standards.
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<br>Risk Mitigation: Identify potential project risks early and implement proactive problem-solving and rigorous quality control measures.
<br>
<br>Mentorship: Provide expert technical guidance and mentorship to junior engineering staff and project teams.
<br>
<br>Qualifications
<br>
<br>Education: Bachelor's degree in Civil Engineering, Structural Engineering, or a closely related field. A Master's degree is highly preferred.
<br>
<br>Experience: Minimum of 20 years of proven experience in civil engineering and project management, with a strong focus on structural upgrades, retrofitting, or complex facility enhancements.
<br>
<br>Certifications: Professional Engineer (PE), PMP, or equivalent professional certifications are strongly desired.
<br>
<br>Skills: Exceptional leadership, communication, and stakeholder management skills. Proficiency in project management software and modern engineering tools.
<br>
<br>Track Record: Demonstrated ability to manage complex budgets and deliver high-stakes engineering projects successfully
The MEP Lead Estimator is responsible for managing the estimation process for the complete electromechanical scope of projects, from initial inquiry through tender submission. This role involves reviewing project requirements, preparing accurate cost estimates, coordinating with internal teams and subcontractors, and ensuring competitive and value-engineered tenders.
<br>
<br>
<br>Key Responsibilities:
<br>- Lead the end-to-end tendering process, ensuring timely and high-quality submissions.
<br>- Lead the preparation of cost estimates and material take-offs for MEP projects.
<br>- Review and interpret MEP tender drawings, specifications, and reports to produce complete estimates.
<br>- Issue queries to the Client to clarify scope and resolve discrepancies.
<br>- Lead and monitor junior estimators and quantity surveyors.
<br>- Coordinate with suppliers/subcontractors, including sending inquiries and evaluating quotations.
<br>- Apply knowledge of manpower requirements across MEP trades to develop accurate labor pricing.
<br>- Conduct cost analysis and value engineering to optimize project budgets.
<br>- Identify project risks and propose mitigation measures during the bidding process.
<br>- Prepare MEP post-tender clarifications for client submissions.
<br>- Develop and maintain a network of suppliers and subcontractors.
<br>- Maintain updated databases of unit rates, labor costs, and material prices.
<br>- Support post-tender handovers to project delivery teams.
<br>
<br>
<br>Qualifications and Skills:
<br>- Master’s Degree in Mechanical Engineering or Electrical Engineering.
<br>- 10-15 years of relevant experience in cost estimation and tendering within the construction industry.
<br>- Extensive experience in MEP contracting estimation.
<br>- Strong knowledge of MEP systems, construction materials, and techniques.
<br>- Proficiency in estimation and quantity take-off software such as AutoCAD, MS Excel, and Candy.
<br>- Excellent analytical, numerical, and problem-solving abilities.
<br>- Strong communication, negotiation, and leadership skills.
<br>- Ability to manage multiple projects and tight deadlines
<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 a AI Developer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: We are deliberately looking for someone who has not worked in COBOL before.<br> The goal is for you to learn the core directly from our senior engineer, in his way, without competing habits to unlearn, so the knowledge transfers cleanly and intact.<br> Your modern engineering instincts are what you bring; the COBOL you will learn from the person who knows it best.<br> This is also why we are looking for an engineer who works fluently with AI.<br> Once you understand how the core actually behaves, modern AI tooling becomes a force-multiplier for documenting it, reasoning about it, and ultimately migrating it to a modern stack.<br> Deep system knowledge and strong AI capability are the two halves of how this modernisation actually gets done, and we expect this hire to bring the second from day one and build the first here.<br> If the idea of going deep into a complex, valuable, decades-old system, and emerging as one of the few people in the world who genuinely understands it, sounds like your kind of challenge, we want to talk to you.<br> In your first six months Spend a meaningful proportion of your time learning our COBOL core in structured sessions with our senior platform engineer.<br> This is protected time, treated as part of the role, not something you do around other work.<br> Contribute to modern Go services in the stack from week one, on scoped pieces of work that build context without putting you on the critical path.<br> Help us document what you’re learning as you learn it.<br> Fresh eyes are uniquely valuable for surfacing the things long-tenured engineers no longer notice.<br> Pair with the existing team across the stack to understand how Go services, the COBOL core, and the surrounding tooling actually interact in production.<br> Use AI tooling deliberately as part of how you learn: to summarise unfamiliar code, surface questions for your mentor, and turn what you learn into clear documentation faster than fresh eyes could alone.<br> Beyond six months Take ownership of meaningful work across both the modern and legacy halves of the platform, with growing autonomy.<br> Help repair and modernise core engineering processes: testing, deployment, definition of done, and the way work flows from support into engineering.<br> Contribute to the broader modernisation program: knowledge capture, internal AI tooling, and the eventual decomposition of the platform into smaller, more approachable modules.<br> Lead AI-assisted modernisation of the parts of the core you have come to understand, translating well-understood COBOL into well-tested modern services, with AI as a lever rather than a crutch.<br> Own projects end to end.<br> Work starts from a client-facing Design Doc that describes data flow and outcomes but not detailed technical specs; from there you own the technical design, the implementation, your own alpha testing, and everything in between.<br> Adapt to the business.<br> Priorities can shift at short notice when urgent client issues arise, and you will be expected to flex with them.<br> Mentor the next Go-into-COBOL hire as the team grows.<br> 4–7 years of professional software engineering experience, with significant time writing production Go.<br> Comfortable working in a large, complex codebase where the answer is rarely on Stack Overflow.<br> You enjoy reading code more than you fear it.<br> Strong fundamentals: data structures, concurrency, debugging, designing for failure modes.<br> Language familiarity matters less than the habits of mind.<br> Demonstrable, judgment-led fluency with AI in a real engineering workflow.<br> You use AI tools daily to read and understand unfamiliar code, accelerate routine work, and draft documentation, and you can explain clearly where you trust their output and where you don’t.<br> We care less about which tools you use than about the judgement you bring to using them.<br> This is a hard requirement for the role.<br> The interpersonal maturity to learn directly from a highly experienced, exacting mentor.<br> You can build trust, adapt to an established way of working, and absorb knowledge patiently, rather than rushing to impose your own approach before you understand why things are the way they are.<br> A genuine willingness, ideally an active interest, in learning COBOL and working in a heritage system.<br> This is not a stepping stone to a pure greenfield role; the COBOL work is the role.<br> No prior COBOL experience is expected or needed; you will learn it here, from the person who knows it best.<br> Strong written communication.<br> You will be helping us turn tribal knowledge into durable documentation.<br> Comfortable with ambiguity.<br> The codebase has decades of history, the documentation is improving but not yet complete, and you will sometimes need to figure things out by reading and asking rather than by looking them up.<br> Based in a UK/EMEA timezone and able to commit to a consistent daily overlap with California (Pacific) working hours.<br> This is a genuine requirement of the role, not a preference: you will be learning directly from our retiring senior, who is based there, so dependable shared hours are essential.<br> You will also keep reliable overlap with the rest of the UK/EMEA team.<br> Comfortable owning the full development cycle and shifting priorities when needed.<br> You will own projects end to end (see What you’ll do), and you will sometimes need to reprioritise at short notice for urgent client work.<br> These are the two things new hires here most often underestimate.<br> Strong indicators Experience working with or alongside legacy systems: mainframe, monolithic, or otherwise long-lived.<br> You understand that “legacy” often means “load-bearing” and treat it with appropriate respect.<br> Experience in domains with deep business logic (finance, logistics, telecoms, insurance, ERP, or similar) where correctness matters more than ergonomics.<br> Comfortable in polyglot environments.<br> Our stack includes Go, the COBOL core, and a long tail of supporting languages and platforms accumulated over years.<br> Track record of improving the engineering practices around you (testing discipline, deployment hygiene, documentation, onboarding) rather than just shipping features.<br> Experience pairing closely with a more senior engineer and absorbing knowledge from them.<br> Experience building or working with AI-assisted developer tooling in a serious production context: agents, code generation, retrieval over large codebases, or similar.<br> You have opinions, grounded in real use, about where it earns its keep.<br> Nice to have Experience with car rental, fleet, travel, hospitality, or other operationally complex industries.<br> Experience contributing to a platform modernisation, replatforming, or legacy-to-modern migration program.<br> Familiarity with Perl or PostScript.<br> Parts of the surrounding toolchain still touch both; not a blocker at all if you have not used them, but real exposure is a genuine plus.<br></span> </div>
<p><h4>Description</h4>
<p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p>
<p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p>
<h4>About the job</h4>
<p>We are deliberately looking for someone who has not worked in COBOL before. The goal is for you to learn the core directly from our senior engineer, in his way, without competing habits to unlearn, so the knowledge transfers cleanly and intact. Your modern engineering instincts are what you bring; the COBOL you will learn from the person who knows it best.</p>
<p>This is also why we are looking for an engineer who works fluently with AI. Once you understand how the core actually behaves, modern AI tooling becomes a force-multiplier for documenting it, reasoning about it, and ultimately migrating it to a modern stack. Deep system knowledge and strong AI capability are the two halves of how this modernisation actually gets done, and we expect this hire to bring the second from day one and build the first here.</p>
<p>If the idea of going deep into a complex, valuable, decades-old system, and emerging as one of the few people in the world who genuinely understands it, sounds like your kind of challenge, we want to talk to you.</p>
<h4>In your first six months</h4>
<ul>
<li>Spend a meaningful proportion of your time learning our COBOL core in structured sessions with our senior platform engineer. This is protected time, treated as part of the role, not something you do around other work.</li>
<li>Contribute to modern Go services in the stack from week one, on scoped pieces of work that build context without putting you on the critical path.</li>
<li>Help us document what you’re learning as you learn it. Fresh eyes are uniquely valuable for surfacing the things long-tenured engineers no longer notice.</li>
<li>Pair with the existing team across the stack to understand how Go services, the COBOL core, and the surrounding tooling actually interact in production.</li>
<li>Use AI tooling deliberately as part of how you learn: to summarise unfamiliar code, surface questions for your mentor, and turn what you learn into clear documentation faster than fresh eyes could alone.</li>
</ul>
<h4>Beyond six months</h4>
<ul>
<li>Take ownership of meaningful work across both the modern and legacy halves of the platform, with growing autonomy.</li>
<li>Help repair and modernise core engineering processes: testing, deployment, definition of done, and the way work flows from support into engineering.</li>
<li>Contribute to the broader modernisation program: knowledge capture, internal AI tooling, and the eventual decomposition of the platform into smaller, more approachable modules.</li>
<li>Lead AI-assisted modernisation of the parts of the core you have come to understand, translating well-understood COBOL into well-tested modern services, with AI as a lever rather than a crutch.</li>
<li>Own projects end to end. Work starts from a client-facing design doc that describes data flow and outcomes but not detailed technical specs; from there you own the technical design, the implementation, your own alpha testing, and everything in between.</li>
<li>Adapt to the business. Priorities can shift at short notice when urgent client issues arise, and you will be expected to flex with them.</li>
<li>Mentor the next Go-into-COBOL hire as the team grows.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>4–7 years of professional software engineering experience, with significant time writing production Go.</li>
<li>Comfortable working in a large, complex codebase where the answer is rarely on Stack Overflow. You enjoy reading code more than you fear it.</li>
<li>Strong fundamentals: data structures, concurrency, debugging, designing for failure modes. Language familiarity matters less than the habits of mind.</li>
<li>Demonstrable, judgment-led fluency with AI in a real engineering workflow. You use AI tools daily to read and understand unfamiliar code, accelerate routine work, and draft documentation, and you can explain clearly where you trust their output and where you don’t. We care less about which tools you use than about the judgement you bring to using them. This is a hard requirement for the role.</li>
<li>The interpersonal maturity to learn directly from a highly experienced, exacting mentor. You can build trust, adapt to an established way of working, and absorb knowledge patiently, rather than rushing to impose your own approach before you understand why things are the way they are.</li>
<li>A genuine willingness, ideally an active interest, in learning COBOL and working in a heritage system. This is not a stepping stone to a pure greenfield role; the COBOL work is the role. No prior COBOL experience is expected or needed; you will learn it here, from the person who knows it best.</li>
<li>Strong written communication. You will be helping us turn tribal knowledge into durable documentation.</li>
<li>Comfortable with ambiguity. The codebase has decades of history, the documentation is improving but not yet complete, and you will sometimes need to figure things out by reading and asking rather than by looking them up.</li>
<li>Based in a UK/EMEA timezone and able to commit to a consistent daily overlap with California (Pacific) working hours. This is a genuine requirement of the role, not a preference: you will be learning directly from our retiring senior, who is based there, so dependable shared hours are essential. You will also keep reliable overlap with the rest of the UK/EMEA team.</li>
<li>Comfortable owning the full development cycle and shifting priorities when needed. You will own projects end to end (see What you’ll do), and you will sometimes need to reprioritise at short notice for urgent client work. These are the two things new hires here most often underestimate.</li>
</ul>
<h4>Strong indicators</h4>
<ul>
<li>Experience working with or alongside legacy systems: mainframe, monolithic, or otherwise long-lived. You understand that “legacy” often means “load-bearing” and treat it with appropriate respect.</li>
<li>Experience in domains with deep business logic (finance, logistics, telecoms, insurance, ERP, or similar) where correctness matters more than ergonomics.</li>
<li>Comfortable in polyglot environments. Our stack includes Go, the COBOL core, and a long tail of supporting languages and platforms accumulated over years.</li>
<li>Track record of improving the engineering practices around you (testing discipline, deployment hygiene, documentation, onboarding) rather than just shipping features.</li>
<li>Experience pairing closely with a more senior engineer and absorbing knowledge from them.</li>
<li>Experience building or working with AI-assisted developer tooling in a serious production context: agents, code generation, retrieval over large codebases, or similar. You have opinions, grounded in real use, about where it earns its keep.</li>
</ul>
<h4>Nice to have</h4>
<ul>
<li>Experience with car rental, fleet, travel, hospitality, or other operationally complex industries.</li>
<li>Experience contributing to a platform modernisation, replatforming, or legacy-to-modern migration program.</li>
<li>Familiarity with Perl or PostScript. Parts of the surrounding toolchain still touch both; not a blocker at all if you have not used them, but real exposure is a genuine plus.</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p>
<p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p>
<h4>About the job</h4>
<p>We are deliberately looking for someone who has not worked in COBOL before. The goal is for you to learn the core directly from our senior engineer, in his way, without competing habits to unlearn, so the knowledge transfers cleanly and intact. Your modern engineering instincts are what you bring; the COBOL you will learn from the person who knows it best.</p>
<p>This is also why we are looking for an engineer who works fluently with AI. Once you understand how the core actually behaves, modern AI tooling becomes a force-multiplier for documenting it, reasoning about it, and ultimately migrating it to a modern stack. Deep system knowledge and strong AI capability are the two halves of how this modernisation actually gets done, and we expect this hire to bring the second from day one and build the first here.</p>
<p>If the idea of going deep into a complex, valuable, decades-old system, and emerging as one of the few people in the world who genuinely understands it, sounds like your kind of challenge, we want to talk to you.</p>
<h4>In your first six months</h4>
<ul>
<li>Spend a meaningful proportion of your time learning our COBOL core in structured sessions with our senior platform engineer. This is protected time, treated as part of the role, not something you do around other work.</li>
<li>Contribute to modern Go services in the stack from week one, on scoped pieces of work that build context without putting you on the critical path.</li>
<li>Help us document what you’re learning as you learn it. Fresh eyes are uniquely valuable for surfacing the things long-tenured engineers no longer notice.</li>
<li>Pair with the existing team across the stack to understand how Go services, the COBOL core, and the surrounding tooling actually interact in production.</li>
<li>Use AI tooling deliberately as part of how you learn: to summarise unfamiliar code, surface questions for your mentor, and turn what you learn into clear documentation faster than fresh eyes could alone.</li>
</ul>
<h4>Beyond six months</h4>
<ul>
<li>Take ownership of meaningful work across both the modern and legacy halves of the platform, with growing autonomy.</li>
<li>Help repair and modernise core engineering processes: testing, deployment, definition of done, and the way work flows from support into engineering.</li>
<li>Contribute to the broader modernisation program: knowledge capture, internal AI tooling, and the eventual decomposition of the platform into smaller, more approachable modules.</li>
<li>Lead AI-assisted modernisation of the parts of the core you have come to understand, translating well-understood COBOL into well-tested modern services, with AI as a lever rather than a crutch.</li>
<li>Own projects end to end. Work starts from a client-facing design doc that describes data flow and outcomes but not detailed technical specs; from there you own the technical design, the implementation, your own alpha testing, and everything in between.</li>
<li>Adapt to the business. Priorities can shift at short notice when urgent client issues arise, and you will be expected to flex with them.</li>
<li>Mentor the next Go-into-COBOL hire as the team grows.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>4–7 years of professional software engineering experience, with significant time writing production Go.</li>
<li>Comfortable working in a large, complex codebase where the answer is rarely on Stack Overflow. You enjoy reading code more than you fear it.</li>
<li>Strong fundamentals: data structures, concurrency, debugging, designing for failure modes. Language familiarity matters less than the habits of mind.</li>
<li>Demonstrable, judgment-led fluency with AI in a real engineering workflow. You use AI tools daily to read and understand unfamiliar code, accelerate routine work, and draft documentation, and you can explain clearly where you trust their output and where you don’t. We care less about which tools you use than about the judgement you bring to using them. This is a hard requirement for the role.</li>
<li>The interpersonal maturity to learn directly from a highly experienced, exacting mentor. You can build trust, adapt to an established way of working, and absorb knowledge patiently, rather than rushing to impose your own approach before you understand why things are the way they are.</li>
<li>A genuine willingness, ideally an active interest, in learning COBOL and working in a heritage system. This is not a stepping stone to a pure greenfield role; the COBOL work is the role. No prior COBOL experience is expected or needed; you will learn it here, from the person who knows it best.</li>
<li>Strong written communication. You will be helping us turn tribal knowledge into durable documentation.</li>
<li>Comfortable with ambiguity. The codebase has decades of history, the documentation is improving but not yet complete, and you will sometimes need to figure things out by reading and asking rather than by looking them up.</li>
<li>Based in a UK/EMEA timezone and able to commit to a consistent daily overlap with California (Pacific) working hours. This is a genuine requirement of the role, not a preference: you will be learning directly from our retiring senior, who is based there, so dependable shared hours are essential. You will also keep reliable overlap with the rest of the UK/EMEA team.</li>
<li>Comfortable owning the full development cycle and shifting priorities when needed. You will own projects end to end (see What you’ll do), and you will sometimes need to reprioritise at short notice for urgent client work. These are the two things new hires here most often underestimate.</li>
</ul>
<h4>Strong indicators</h4>
<ul>
<li>Experience working with or alongside legacy systems: mainframe, monolithic, or otherwise long-lived. You understand that “legacy” often means “load-bearing” and treat it with appropriate respect.</li>
<li>Experience in domains with deep business logic (finance, logistics, telecoms, insurance, ERP, or similar) where correctness matters more than ergonomics.</li>
<li>Comfortable in polyglot environments. Our stack includes Go, the COBOL core, and a long tail of supporting languages and platforms accumulated over years.</li>
<li>Track record of improving the engineering practices around you (testing discipline, deployment hygiene, documentation, onboarding) rather than just shipping features.</li>
<li>Experience pairing closely with a more senior engineer and absorbing knowledge from them.</li>
<li>Experience building or working with AI-assisted developer tooling in a serious production context: agents, code generation, retrieval over large codebases, or similar. You have opinions, grounded in real use, about where it earns its keep.</li>
</ul>
<h4>Nice to have</h4>
<ul>
<li>Experience with car rental, fleet, travel, hospitality, or other operationally complex industries.</li>
<li>Experience contributing to a platform modernisation, replatforming, or legacy-to-modern migration program.</li>
<li>Familiarity with Perl or PostScript. Parts of the surrounding toolchain still touch both; not a blocker at all if you have not used them, but real exposure is a genuine plus.</li>
</ul></p><p></p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Aspire Software is looking for a AI Developer to join our team in Lebanon.</p> <p> <strong>Here is a little window into our company:</strong> Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <p> </p> <p>About the job: </p> <p>We are deliberately looking for someone who has not worked in COBOL before. The goal is for you to learn the core directly from our senior engineer, in his way, without competing habits to unlearn, so the knowledge transfers cleanly and intact. Your modern engineering instincts are what you bring; the COBOL you will learn from the person who knows it best.</p> <p>This is also why we are looking for an engineer who works fluently with AI. Once you understand how the core actually behaves, modern AI tooling becomes a force-multiplier for documenting it, reasoning about it, and ultimately migrating it to a modern stack. Deep system knowledge and strong AI capability are the two halves of how this modernisation actually gets done, and we expect this hire to bring the second from day one and build the first here.</p> <p>If the idea of going deep into a complex, valuable, decades-old system, and emerging as one of the few people in the world who genuinely understands it, sounds like your kind of challenge, we want to talk to you.</p> In your first six months <ul> <li>Spend a meaningful proportion of your time learning our COBOL core in structured sessions with our senior platform engineer. This is protected time, treated as part of the role, not something you do around other work.</li> <li>Contribute to modern Go services in the stack from week one, on scoped pieces of work that build context without putting you on the critical path.</li> <li>Help us document what you re learning as you learn it. Fresh eyes are uniquely valuable for surfacing the things long-tenured engineers no longer notice.</li> <li>Pair with the existing team across the stack to understand how Go services, the COBOL core, and the surrounding tooling actually interact in production.</li> <li>Use AI tooling deliberately as part of how you learn: to summarise unfamiliar code, surface questions for your mentor, and turn what you learn into clear documentation faster than fresh eyes could alone.</li> </ul> Beyond six months <ul> <li>Take ownership of meaningful work across both the modern and legacy halves of the platform, with growing autonomy.</li> <li>Help repair and modernise core engineering processes: testing, deployment, definition of done, and the way work flows from support into engineering.</li> <li>Contribute to the broader modernisation program: knowledge capture, internal AI tooling, and the eventual decomposition of the platform into smaller, more approachable modules.</li> <li>Lead AI-assisted modernisation of the parts of the core you have come to understand, translating well-understood COBOL into well-tested modern services, with AI as a lever rather than a crutch.</li> <li>Own projects end to end. Work starts from a client-facing Design Doc that describes data flow and outcomes but not detailed technical specs; from there you own the technical design, the implementation, your own alpha testing, and everything in between.</li> <li>Adapt to the business. Priorities can shift at short notice when urgent client issues arise, and you will be expected to flex with them.</li> <li>Mentor the next Go-into-COBOL hire as the team grows.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> </p> <ul> <li>4 7 years of professional software engineering experience, with significant time writing production Go.</li> <li>Comfortable working in a large, complex codebase where the answer is rarely on Stack Overflow. You enjoy reading code more than you fear it.</li> <li>Strong fundamentals: data structures, concurrency, debugging, designing for failure modes. Language familiarity matters less than the habits of mind.</li> <li>Demonstrable, judgment-led fluency with AI in a real engineering workflow. You use AI tools daily to read and understand unfamiliar code, accelerate routine work, and draft documentation, and you can explain clearly where you trust their output and where you don t. We care less about which tools you use than about the judgement you bring to using them. This is a hard requirement for the role.</li> <li>The interpersonal maturity to learn directly from a highly experienced, exacting mentor. You can build trust, adapt to an established way of working, and absorb knowledge patiently, rather than rushing to impose your own approach before you understand why things are the way they are.</li> <li>A genuine willingness, ideally an active interest, in learning COBOL and working in a heritage system. This is not a stepping stone to a pure greenfield role; the COBOL work is the role. No prior COBOL experience is expected or needed; you will learn it here, from the person who knows it best.</li> <li>Strong written communication. You will be helping us turn tribal knowledge into durable documentation.</li> <li>Comfortable with ambiguity. The codebase has decades of history, the documentation is improving but not yet complete, and you will sometimes need to figure things out by reading and asking rather than by looking them up.</li> <li>Based in a UK/EMEA timezone and able to commit to a consistent daily overlap with California (Pacific) working hours. This is a genuine requirement of the role, not a preference: you will be learning directly from our retiring senior, who is based there, so dependable shared hours are essential. You will also keep reliable overlap with the rest of the UK/EMEA team.</li> <li>Comfortable owning the full development cycle and shifting priorities when needed. You will own projects end to end (see What you ll do), and you will sometimes need to reprioritise at short notice for urgent client work. These are the two things new hires here most often underestimate.</li> </ul> <p> </p> <p>Strong indicators</p> <ul> <li>Experience working with or alongside legacy systems: mainframe, monolithic, or otherwise long-lived. You understand that legacy often means load-bearing and treat it with appropriate respect.</li> <li>Experience in domains with deep business logic (finance, logistics, telecoms, insurance, ERP, or similar) where correctness matters more than ergonomics.</li> <li>Comfortable in polyglot environments. Our stack includes Go, the COBOL core, and a long tail of supporting languages and platforms accumulated over years.</li> <li>Track record of improving the engineering practices around you (testing discipline, deployment hygiene, documentation, onboarding) rather than just shipping features.</li> <li>Experience pairing closely with a more senior engineer and absorbing knowledge from them.</li> <li>Experience building or working with AI-assisted developer tooling in a serious production context: agents, code generation, retrieval over large codebases, or similar. You have opinions, grounded in real use, about where it earns its keep.</li> </ul> <p> </p> <p>Nice to have</p> <ul> <li>Experience with car rental, fleet, travel, hospitality, or other operationally complex industries.</li> <li>Experience contributing to a platform modernisation, replatforming, or legacy-to-modern migration program.</li> <li>Familiarity with Perl or PostScript. Parts of the surrounding toolchain still touch both; not a blocker at all if you have not used them, but real exposure is a genuine plus.</li> </ul><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Aspire Software is looking for a AI Developer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: We are deliberately looking for someone who has not worked in COBOL before.<br> The goal is for you to learn the core directly from our senior engineer, in his way, without competing habits to unlearn, so the knowledge transfers cleanly and intact.<br> Your modern engineering instincts are what you bring; the COBOL you will learn from the person who knows it best.<br> This is also why we are looking for an engineer who works fluently with AI.<br> Once you understand how the core actually behaves, modern AI tooling becomes a force-multiplier for documenting it, reasoning about it, and ultimately migrating it to a modern stack.<br> Deep system knowledge and strong AI capability are the two halves of how this modernisation actually gets done, and we expect this hire to bring the second from day one and build the first here.<br> If the idea of going deep into a complex, valuable, decades-old system, and emerging as one of the few people in the world who genuinely understands it, sounds like your kind of challenge, we want to talk to you.<br> In your first six months Spend a meaningful proportion of your time learning our COBOL core in structured sessions with our senior platform engineer.<br> This is protected time, treated as part of the role, not something you do around other work.<br> Contribute to modern Go services in the stack from week one, on scoped pieces of work that build context without putting you on the critical path.<br> Help us document what you’re learning as you learn it.<br> Fresh eyes are uniquely valuable for surfacing the things long-tenured engineers no longer notice.<br> Pair with the existing team across the stack to understand how Go services, the COBOL core, and the surrounding tooling actually interact in production.<br> Use AI tooling deliberately as part of how you learn: to summarise unfamiliar code, surface questions for your mentor, and turn what you learn into clear documentation faster than fresh eyes could alone.<br> Beyond six months Take ownership of meaningful work across both the modern and legacy halves of the platform, with growing autonomy.<br> Help repair and modernise core engineering processes: testing, deployment, definition of done, and the way work flows from support into engineering.<br> Contribute to the broader modernisation program: knowledge capture, internal AI tooling, and the eventual decomposition of the platform into smaller, more approachable modules.<br> Lead AI-assisted modernisation of the parts of the core you have come to understand, translating well-understood COBOL into well-tested modern services, with AI as a lever rather than a crutch.<br> Own projects end to end.<br> Work starts from a client-facing Design Doc that describes data flow and outcomes but not detailed technical specs; from there you own the technical design, the implementation, your own alpha testing, and everything in between.<br> Adapt to the business.<br> Priorities can shift at short notice when urgent client issues arise, and you will be expected to flex with them.<br> Mentor the next Go-into-COBOL hire as the team grows.<br> 4–7 years of professional software engineering experience, with significant time writing production Go.<br> Comfortable working in a large, complex codebase where the answer is rarely on Stack Overflow.<br> You enjoy reading code more than you fear it.<br> Strong fundamentals: data structures, concurrency, debugging, designing for failure modes.<br> Language familiarity matters less than the habits of mind.<br> Demonstrable, judgment-led fluency with AI in a real engineering workflow.<br> You use AI tools daily to read and understand unfamiliar code, accelerate routine work, and draft documentation, and you can explain clearly where you trust their output and where you don’t.<br> We care less about which tools you use than about the judgement you bring to using them.<br> This is a hard requirement for the role.<br> The interpersonal maturity to learn directly from a highly experienced, exacting mentor.<br> You can build trust, adapt to an established way of working, and absorb knowledge patiently, rather than rushing to impose your own approach before you understand why things are the way they are.<br> A genuine willingness, ideally an active interest, in learning COBOL and working in a heritage system.<br> This is not a stepping stone to a pure greenfield role; the COBOL work is the role.<br> No prior COBOL experience is expected or needed; you will learn it here, from the person who knows it best.<br> Strong written communication.<br> You will be helping us turn tribal knowledge into durable documentation.<br> Comfortable with ambiguity.<br> The codebase has decades of history, the documentation is improving but not yet complete, and you will sometimes need to figure things out by reading and asking rather than by looking them up.<br> Based in a UK/EMEA timezone and able to commit to a consistent daily overlap with California (Pacific) working hours.<br> This is a genuine requirement of the role, not a preference: you will be learning directly from our retiring senior, who is based there, so dependable shared hours are essential.<br> You will also keep reliable overlap with the rest of the UK/EMEA team.<br> Comfortable owning the full development cycle and shifting priorities when needed.<br> You will own projects end to end (see What you’ll do), and you will sometimes need to reprioritise at short notice for urgent client work.<br> These are the two things new hires here most often underestimate.<br> Strong indicators Experience working with or alongside legacy systems: mainframe, monolithic, or otherwise long-lived.<br> You understand that “legacy” often means “load-bearing” and treat it with appropriate respect.<br> Experience in domains with deep business logic (finance, logistics, telecoms, insurance, ERP, or similar) where correctness matters more than ergonomics.<br> Comfortable in polyglot environments.<br> Our stack includes Go, the COBOL core, and a long tail of supporting languages and platforms accumulated over years.<br> Track record of improving the engineering practices around you (testing discipline, deployment hygiene, documentation, onboarding) rather than just shipping features.<br> Experience pairing closely with a more senior engineer and absorbing knowledge from them.<br> Experience building or working with AI-assisted developer tooling in a serious production context: agents, code generation, retrieval over large codebases, or similar.<br> You have opinions, grounded in real use, about where it earns its keep.<br> Nice to have Experience with car rental, fleet, travel, hospitality, or other operationally complex industries.<br> Experience contributing to a platform modernisation, replatforming, or legacy-to-modern migration program.<br> Familiarity with Perl or PostScript.<br> Parts of the surrounding toolchain still touch both; not a blocker at all if you have not used them, but real exposure is a genuine plus.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Company Description<br><p><strong>Mideast Assistance International S.A.L.</strong> is a Lebanon-based assistance and insurance services group established in 2001. Headquartered in Dbayeh, Lebanon, the company specializes in providing round-the-clock medical, travel, and crisis management assistance to individuals and businesses globally.</p><br><p>Key Operational Areas</p><br><ul><li><p><strong>Travel & Medical Assistance:</strong> The company offers worldwide travel insurance products and coordinates emergency services, including medical repatriation, emergency evacuations, and support for travelers in need.</p><br></li><li><p><strong>Crisis Management:</strong> They provide tailored contingency and evacuation planning in coordination with medical and security authorities, specifically addressing natural disasters or regional conflicts.</p><br></li><li><p><strong>Call Center Services:</strong> Utilizing advanced IP-based technology, the company operates a centralized, multi-lingual call center that provides customized CRM solutions for various sectors, including banking, insurance, and healthcare.</p><br></li><li><p><strong>Provider Network:</strong> The organization maintains an extensive international network of over 40,000 healthcare and assistance providers, enabling services such as direct billing and cost containment.</p><br></li></ul><br>Job Description<br><p><strong>Mission and Responsibilities: </strong></p><br><p> <br>
-Answer incoming phone calls from patients and handle their requests in a professional and timely manner. <br>
-Perform outgoing calls based on assigned call lists and follow the approved scripts, protocols, and procedures. <br>
-Assisting patients as necessary by taking actions to provide high level services according to their needs while always striving to exceed their expectations. <br>
-Schedule, manage, and update patient appointments. <br>
-Confirm appointments and follow up with patients when needed. <br>
-Review daily tasks, communications, and pending follow-ups to ensure proper completion. <br>
-Handle incoming and outgoing emails in accordance with internal procedures. <br>
-Process faxes and ensure that all received information is properly reviewed and forwarded when needed. <br>
-Control and follow up on the workflow of outsourcing projects to ensure that tasks are being completed accurately and on time. <br>
-Coordinate with team members to ensure proper task distribution, follow-up, and case handling. <br>
-Support the team in solving operational issues and maintaining a smooth workflow. <br>
-Ensure that all team members follow the required quality standards, internal procedures, scripts, and service expectations. <br>
- Prepare and send reports to the concerned Manager whenever required. <br>
- Escalate urgent, sensitive, delayed, or unresolved cases to the concerned person or department. <br>
- Execute any other job-related task requested by the concerned manager.</p><br><br>Qualifications<br><p>Qualifications: fluent in French and ensligh/ available to work Monday through Friday from 3:00 PM to 11:00 PM, with flexibility to work up to 2 days per week from 12:00 PM to 8:00 PM.</p><br><br><br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Company Description<br><p><strong>Mideast Assistance International S.A.L.</strong> is a Lebanon-based assistance and insurance services group established in 2001. Headquartered in Dbayeh, Lebanon, the company specializes in providing round-the-clock medical, travel, and crisis management assistance to individuals and businesses globally.</p><br><p>Key Operational Areas</p><br><ul><li><p><strong>Travel & Medical Assistance:</strong> The company offers worldwide travel insurance products and coordinates emergency services, including medical repatriation, emergency evacuations, and support for travelers in need.</p><br></li><li><p><strong>Crisis Management:</strong> They provide tailored contingency and evacuation planning in coordination with medical and security authorities, specifically addressing natural disasters or regional conflicts.</p><br></li><li><p><strong>Call Center Services:</strong> Utilizing advanced IP-based technology, the company operates a centralized, multi-lingual call center that provides customized CRM solutions for various sectors, including banking, insurance, and healthcare.</p><br></li><li><p><strong>Provider Network:</strong> The organization maintains an extensive international network of over 40,000 healthcare and assistance providers, enabling services such as direct billing and cost containment.</p><br></li></ul><br>Job Description<br><p><strong>Mission and Responsibilities: </strong> <br>
-Answer incoming phone calls from patients and handle their requests in a professional and timely manner. <br>
-Perform outgoing calls based on assigned call lists and follow the approved scripts, protocols, and procedures. <br>
-Assisting patients as necessary by taking actions to provide high level services according to their needs while always striving to exceed their expectations. <br>
-Schedule, manage, and update patient appointments. <br>
-Confirm appointments and follow up with patients when needed. <br>
-Review daily tasks, communications, and pending follow-ups to ensure proper completion. <br>
-Handle incoming and outgoing emails in accordance with internal procedures. <br>
-Process faxes and ensure that all received information is properly reviewed and forwarded when needed. <br>
-Prepare and send reports to the concerned Manager whenever required. <br>
-Escalate urgent, sensitive, delayed, or unresolved cases to the concerned Manager. <br>
-Execute any other job-related task requested by the concerned manager.</p><br><br>Qualifications<br><p>Qualifications: fluent in French and ensligh/ available to work a 2-3 days per week (Monday–Friday) from 4:00 PM to 11:00 PM</p><br><br><br> </div>
<p>We are seeking an experienced Civil / Architectural Engineer or CAD Draftsman based in Lebanon to work remotely with an established engineering company based in Texas, USA.</p><p>This is a hands-on technical position. We are looking for someone who can take project information, measurements, sketches, and instructions and turn them into accurate professional drawings, plans, 3D models, and renderings.</p><p>Responsibilities</p><ul><li>Prepare and revise AutoCAD drawings</li><li>Produce 2D construction and engineering plans</li><li>Create AutoCAD 3D models</li><li>Produce professional 3D renderings and visualizations</li><li>Prepare civil engineering drawings</li><li>Prepare architectural drawings and floor plans</li><li>Modify existing plans based on engineer/client comments</li><li>Assist with construction documents and drawing sets</li><li>Coordinate remotely with engineers and project staff in Texas</li><li>Maintain organized project files and drawing versions</li><li>Complete assignments accurately and on schedule</li></ul><p>Technology Requirements</p><p>Because this is a fully remote position, candidates must have:</p><ul><li>Fast and reliable home internet</li><li>Reliable computer capable of handling AutoCAD, 3D modeling, and rendering</li><li>Reliable electricity and a backup power solution</li><li>Ability to participate in video calls and communicate consistently during working hours</li></ul><p>Strong Preference for Candidates With</p><ul><li>Civil engineering experience</li><li>Architectural design/drafting experience</li><li>U.S. construction or engineering project experience</li><li>Experience with Revit, SketchUp, 3ds Max, Lumion, or similar software</li><li>Experience preparing permit/construction drawing sets</li><li>Understanding of U.S. construction standards and drawing conventions</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Strong AutoCAD experience required</p><p>AutoCAD 3D experience required</p><p>Experience producing professional renderings required</p><p>Strong background in civil and/or architectural drafting</p><p>Engineering, architecture, or related technical degree preferred</p><p>Several years of professional drafting/design experience</p><p>Ability to read and understand architectural and engineering plans</p><p>Excellent attention to detail and accuracy</p><p>Good written and spoken English</p><p>Ability to work independently with limited supervision</p><p>Comfortable working with a U.S.-based engineering team</p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Job Description<br><p><strong>About the Role</strong></p><br><p>We're looking for an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis</li><li>Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs</li><li>Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale</li><li>Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior</li><li>Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding</li><li>Collaborate with product and design to translate workflows into robust technical experiences</li><li>Ship production features across the stack, from the model layer to the application</li></ul><p>Monitor, debug, and improve system performance, token efficiency, and guardrails</p><br><br>Qualifications<br><ul><li>3+ years of software engineering experience, with hands-on work building LLM-powered applications</li><li>Strong proficiency in Python and/or TypeScript/JavaScript</li><li>Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)</li><li>Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)</li><li>Understanding of multi-agent systems, tool use, and function calling</li><li>Experience designing evaluation and testing strategies for non-deterministic AI outputs</li><li>Solid grasp of API design, async processing, and scalable backend architecture</li><li>Comfort working in a fast-moving, ambiguous, early-stage environment</li></ul><br>Additional Information<br><ul><li>Experience with real-time streaming (WebSockets, SSE) for conversational interfaces</li><li>Background in fine-tuning, model distillation, or inference optimization</li><li>Familiarity with cloud infrastructure (AWS/GCP/Azure) and CI/CD</li><li>Contributions to open-source AI projects</li></ul><br><br> </div>
<p>Results-driven Engineer and Project Manager with extensive experience in managing and construction projects from initiation to completion. Skilled in project planning, budgeting, scheduling, contract administration, risk management, and coordinating multidisciplinary teams to ensure projects are delivered safely, on time, and within budget.</p><p>Recognized for strong leadership, problem-solving abilities, and effective communication with clients, consultants, contractors, and project teams. Committed to delivering high-quality engineering solutions while optimizing project performance and achieving organizational objectives.</p><p> </p><p><strong>Requirements</strong></p><ul><li>Bachelor's degree in Engineering.</li><li>Minimum 10 years of experience in project management within engineering or construction projects.</li><li>Strong knowledge of project planning, scheduling, budgeting, and cost control.</li><li>Excellent leadership, communication, negotiation, and problem-solving skills.</li><li>Ability to manage multiple projects and meet deadlines.</li><li>Fluent in English.</li></ul>
<p><h4>Description</h4>
<p>Aspire Software is looking for a DevOps 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>
<p>We're looking for a DevOps engineer with a strong database background. The right candidate combines solid AWS infrastructure experience with a DBA mindset—someone who is proactive about performance, cost, and reliability without needing to be prompted. This is a hands-on role with real ownership across multiple deployment targets (managed services, SaaS, on-prem). Priority for AI enabled DevOps engineers who leverage agentic workflows in their day-to-day work.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Manage and optimise database infrastructure across AWS (ECS/EC2, EKS)</li>
<li>Drive query performance tuning, indexing, connection pooling, and replication management</li>
<li>Own infrastructure-as-code using TypeScript CDK; rare manual console changes</li>
<li>Identify and execute cost optimisation opportunities across RDS/Aurora, storage, and compute</li>
<li>Build automation tooling in Bash and TypeScript for backup validation, failover testing, and capacity planning</li>
<li>Collaborate with engineering teams on schema design and data access patterns ahead of implementation</li>
<li>Maintain CI/CD pipelines for infrastructure changes across all deployment targets</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>3+ years in a DevOps, platform, or infrastructure role with a strong database focus</li>
<li>Production-level experience with PostgreSQL (query plans, vacuuming, partitioning, replication)</li>
<li>Hands-on AWS experience with RDS, Aurora, and at least one of ECS or EKS</li>
<li>Infrastructure-as-code proficiency; TypeScript CDK preferred, Terraform or Pulumi considered</li>
<li>Proficient in Bash scripting</li>
<li>Agentic AI workflows</li>
</ul>
<h4>Tech stack</h4>
<p>PostgreSQL · SQL Server · AWS RDS/Aurora · ECS/EC2 · EKS · TypeScript CDK · Bash · GitLab, Pipelines · AI-assisted tooling</p></p><p></p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Position Data:</p><p>Job Title: Mechanical Selection Engineer</p><p>Department: Sales</p><p>Relationship</p><p>Reporting to: Senior Sales Engineer & Managing Partner</p><p>Liaison: Internal: Managing Partners, Sales Engineers, Application Engineers, Accounting, Warehouse, Operations</p><p>External: Customers, Developers, Consultants, Contractors, Maintenance team</p><p>Basic Function:</p><p>To Analyze project specifications then to select and issue quotations of appropriate mechanical products and equipment based on bill of quantities, drawings and / or technical requirements in line with the department s quotation process.</p><p>Key Performance Areas:</p><p>Sales Support and Office Functions:</p><p>To respond to customers enquiries on time with the right selection of products which meet the customers technical requirement and offering a tailor-made solution</p><p>To make proper selection of materials as per projects / customers requirements and get necessary approvals from the Management</p><p>To compute and promptly update all leads, opportunities & customers in the ERP system for proper follow up</p><p>To process the quotations and orders in the ERP as per the nature of the job. When necessary, coordinate with Management for initiating procurement of items/goods from Suppliers</p><p>To be responsible for accurate preparation of all documents such as quotations, sales orders etc.</p><p>To coordinate with Suppliers of materials in terms of Technical Compliance of their products and Services with the market / projects requirements</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications: Bachelors Degree in Mechanical Engineering</p><p>Personal Details Around 22 30 years old</p><p>Knowledge: Thorough knowledge of Electro-mechanical products, selections, designs and applications Including but not limited to HVAC systems, Fire Fighting Systems, Fans, Pumps and Electro-Mechanical materials</p><p>Skills: Relevant earlier experience is a plus</p><p>Excellent communication and inter-personal skills, a team-player, excellent computer skills, good behavior, well mannered, pleasing and strong personality</p><p></p></section>
<p>Aspire Software is looking for a Senior Software Developer to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>About the Job:</p><p>You will work closely with our Senior Integrations Engineer and within the Platform, Data and Security function, collaborating directly with external technical partners, internal product and engineering teams, and a codebase that spans modern TypeScript microservices and a mature .NET API. Critically, you will be expected to use AI-enabled development workflows not as a productivity shortcut but as a genuine engineering methodology: taking loosely defined integration requirements and using Claude Code and agentic tooling to plan, refine, and deliver production-quality outcomes. If you want to build things that matter, work in an environment that is serious about AI-native engineering, and grow your skills across a genuinely interesting technical domain, this is the role.</p><p>Key responsibilities</p><p>Integration design and delivery</p><ul><li>Design, build, and maintain integrations between the NBI platform and third-party systems including POS providers, payment processors, CRM platforms, and marketing tools, using the target TypeScript and AWS Lambda microservices stack.</li><li>Own the full integration lifecycle for assigned partners: technical discovery, API contract design, build, testing, deployment, and ongoing reliability monitoring.</li><li>Work within our existing .NET and SQL-based integration layer where required, reading and understanding legacy implementations to inform refactoring, extend capability, or resolve production issues without introducing regression.</li><li>Ensure all integrations are built to be robust, observable, and maintainable, with appropriate error handling, retry logic, and alerting in place from the start.</li></ul><p>Technical partner engagement</p><ul><li>Engage directly with third-party technical teams to understand API contracts, negotiate integration approaches, and resolve ambiguities during implementation.</li><li>Represent NBI professionally in technical discussions with external partners, translating business requirements into clear integration specifications and surfacing risks or constraints early.</li><li>Document integration contracts, data flows, and operational runbooks clearly, ensuring the team can support and extend integrations beyond the initial build.</li></ul><p>AI-enabled engineering and delivery quality</p><ul><li>Use Claude Code and agentic AI workflows as a core part of how you work: from decomposing a loosely defined integration requirement into a structured delivery plan, through scaffolding, iterative refinement, and test generation, to final production-ready output.</li><li>Apply strong engineering judgement to AI-generated output; you know how to verify correctness at integration boundaries, catch hallucinated API behaviour, and hold quality standards even when AI tooling is doing a large share of the drafting.</li><li>Contribute to the team's evolving norms around AI-augmented engineering: what works, what does not, where human judgement is non-negotiable, and how to structure tasks for reliable AIassisted execution.</li><li>Work within the Shape Up delivery model, engaging with pitches during shaping, committing to delivery within cycle, and surfacing scope or complexity concerns proactively rather than after the fact.</li><li>Collaborate closely with the QA function to ensure integrations are testable, with agreed acceptance criteria, contract tests, and monitoring in place before delivery is considered complete.</li><li>Use Linear, Notion, and GitLab as standard tooling across work tracking, documentation, and CI/CD.</li></ul><p>About you</p><p>You are an engineer who takes integration work seriously as a discipline, not just plumbing between systems. You understand that the quality of an integration shows up in production at the worst possible moment, so you build with reliability and observability in mind from the start. You are comfortable working across both modern serverless architectures and legacy codebases, and you communicate clearly enough with technical partners to get integrations right the first time rather than the third. Equally important: you are an experienced practitioner of AI-native engineering. You do not use Claude Code to autocomplete lines of code. You use it to think through an approach, decompose ambiguous requirements into executable steps, generate and iterate on implementation, and produce output you are prepared to own and defend. You have enough experience with agentic workflows to know their limits, and enough engineering rigour to close the gap where they fall short.</p><ul><li>Excellent written and verbal English communication skills; able to engage with technical partners and internal teams across time zones with clarity and professionalism</li><li>Strong commercial experience building and maintaining third-party integrations using REST APIs, webhooks, and event-driven patterns</li><li>Solid Node.js and TypeScript development experience, with the ability to build production-quality backend services and integrations independently</li><li>Ability to read, understand, and work within a .NET / C# codebase; you do not need to be a .NET specialist, but you cannot be blocked by one</li><li>Working knowledge of SQL and relational databases; comfortable writing and reviewing queries, understanding data access patterns, and reasoning about integration data flows</li><li>Demonstrated experience using Claude Code or equivalent agentic AI tooling as a core part of your engineering workflow; able to take a loosely defined capability, structure it into a delivery plan using AI, and drive it through to production-quality output with appropriate verification at each stage</li><li>Strong engineering judgement when working with AI-generated code; you know what to trust, what to verify, and what to rewrite, particularly at API boundaries and in integration-critical paths.</li><li>Strong attention to detail in API contract design, error handling, and edge-case coverage; integrations you build do not silently fail</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Excellent written and verbal English communication skills; able to engage with technical partners and internal teams across time zones with clarity and professionalism</li><li>Strong commercial experience building and maintaining third-party integrations using REST APIs, webhooks, and event-driven patterns</li><li>Solid Node.js and TypeScript development experience, with the ability to build production-quality backend services and integrations independently</li><li>Ability to read, understand, and work within a .NET / C# codebase; you do not need to be a .NET specialist, but you cannot be blocked by one</li><li>Working knowledge of SQL and relational databases; comfortable writing and reviewing queries, understanding data access patterns, and reasoning about integration data flows</li><li>Demonstrated experience using Claude Code or equivalent agentic AI tooling as a core part of your engineering workflow; able to take a loosely defined capability, structure it into a delivery plan using AI, and drive it through to production-quality output with appropriate verification at each stage</li><li>Strong engineering judgement when working with AI-generated code; you know what to trust, what to verify, and what to rewrite, particularly at API boundaries and in integration-critical paths.</li><li>Strong attention to detail in API contract design, error handling, and edge-case coverage; integrations you build do not silently fail</li></ul><p>Highly desirable</p><ul><li>Hands-on experience with AWS Lambda and serverless architectures, including event-driven patterns and infrastructure-as-code tooling such as Terraform</li><li>Experience integrating with POS systems, payment processors, or hospitality platforms in a commercial environment</li><li>Familiarity with AI agent orchestration, prompt engineering for code generation tasks, and context management in multi-step agentic workflows</li><li>Familiarity with observability tooling (Datadog or equivalent) for monitoring integration health, alerting on failures, and diagnosing production issues</li><li>Experience working in Linear, Notion, and GitLab as a day-to-day engineering toolchain</li><li>Experience working in Shape Up, Kanban, or other non-sprint delivery models with a strong sense of personal delivery accountability</li><li>Exposure to multi-region or multi-market SaaS environments, where integration behaviour may vary by geography or partner configuration</li></ul>