وظائف هندسة النظم في لبنان

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a talented and motivated Python Developer to join our dynamic engineering team. As a key contributor, you will be responsible for designing, building, and maintaining efficient, reusable, and reliable Python code. If you are passionate about software development, enjoy solving complex problems, and thrive in a collaborative environment, we want to hear from you. Job Purpose The primary purpose of this role is to develop high-quality software solutions using Python, ensuring optimal performance, scalability, and reliability of our applications while collaborating with cross-functional teams to deliver on business objectives. Job Duties and Responsibilities Write and maintain clean, scalable Python code Develop and integrate RESTful APIs Collaborate with front-end developers to integrate user-facing elements Identify and fix bottlenecks and bugs Participate in code reviews and knowledge sharing Design and implement data storage solutions Write unit tests and ensure code quality Contribute to system architecture decisions</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Proficiency in Python programming</li><li>Experience with web frameworks (e.g., Django, Flask, FastAPI)</li><li>Understanding of RESTful API design</li><li>Knowledge of database systems (SQL and NoSQL)</li><li>Familiarity with version control (Git)</li><li>Strong problem-solving skills</li><li>Excellent communication and teamwork abilities</li><li>Experience with testing frameworks (e.g., PyTest, unittest)</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b><br></b></p><p><b>About the Role </b>Are you passionate about building modern, scalable data platforms that power business decisions and product innovation? As a Staff Data Engineer at Toters, you'll define the technical direction of our data platform while designing and building reliable, high-performance data infrastructure that scales with our business. You'll lead the architecture of our batch and streaming data ecosystem, establish engineering standards, and drive platform evolution across multiple teams. Working closely with Engineering Managers, Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll influence technical strategy, mentor engineers, and ensure our data platform remains scalable, reliable, and cost-efficient. This is a highly hands-on technical leadership role where you'll shape how data is ingested, processed, governed, and consumed across the organization.</p><p>In this role, you will:</p><ul><li>Define and drive the long-term technical vision and architecture for Toters' data platform.</li><li>Lead the design and implementation of scalable batch and streaming data platforms that support analytics, operational systems, and machine learning.</li><li>Design resilient, cloud-native data architectures capable of processing high-volume event streams and transactional workloads.</li><li>Establish engineering standards, architectural patterns, and best practices for data engineering across the organization.</li><li>Design scalable data models, schemas, and data contracts that enable long-term maintainability, governance, and interoperability.</li><li>Drive architectural decisions that improve scalability, reliability, security, observability, and operational efficiency across the platform.</li><li>Lead complex technical initiatives such as platform migrations, streaming modernization, lakehouse evolution, and data infrastructure improvements.</li><li>Evaluate new technologies and recommend pragmatic solutions that balance scalability, operational complexity, and cost.</li><li>Improve platform observability through monitoring, alerting, data quality validation, lineage, and operational dashboards.</li><li>Own the reliability of critical production data systems by leading incident response, root cause analysis, and long-term platform improvements.</li><li>Optimize cloud infrastructure, storage, compute, and streaming costs while maintaining high platform performance.</li><li>Partner with Engineering Managers, Product Managers, Analytics, Machine Learning, and Software Engineering teams to define platform capabilities and technical roadmaps.</li><li>Mentor Senior Data Engineers through architecture reviews, technical coaching, and engineering leadership.</li><li>Conduct high-quality code and design reviews that raise the technical bar across multiple teams.</li><li>Drive technical discussions, resolve complex engineering challenges, and influence cross-functional decision-making across the engineering organization.</li></ul><p>Why Toters?</p><ul><li>Flexible work environment with hybrid-friendly roles.</li><li>Opportunity to define and shape the future of Toters' modern data platform.</li><li>Lead high-impact technical initiatives that influence multiple engineering teams.</li><li>Solve complex engineering challenges involving distributed systems, streaming, and large-scale data processing.</li><li>Collaborate with talented engineers in a culture of mentorship, ownership, 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><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>9+ years of experience designing and building large-scale production data platforms or distributed data systems.</li><li>Deep expertise in SQL and advanced data modeling, including dimensional modeling (facts and dimensions), schema design, and data architecture.</li><li>Expert-level experience building distributed streaming systems using Apache Kafka, Amazon Kinesis, Apache Pulsar, or equivalent technologies, with strong knowledge of partitioning, consumer groups, delivery semantics, schema management, and production troubleshooting.</li><li>Deep understanding of distributed systems, batch and streaming data processing, event time, processing time, windowing, stateful processing, fault tolerance, and the challenges of achieving exactly-once processing.</li><li>Strong programming skills in Python and/or JVM languages such as Java or Scala.</li><li>Extensive experience designing modern data lakehouse architectures using Amazon S3, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data platforms on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming services, IAM, networking, infrastructure security, and cloud cost optimization.</li><li>Hands-on experience with distributed processing technologies such as Apache Flink, ClickHouse, Trino, and similar analytical platforms.</li><li>Experience designing and implementing Change Data Capture (CDC) architectures using Debezium or similar technologies.</li><li>Experience with modern transformation frameworks such as dbt.</li><li>Strong experience with Infrastructure as Code using Terraform, containerization using Docker, and orchestration platforms such as Kubernetes.</li><li>Proven experience owning mission-critical production systems, leading incident response, and driving long-term platform reliability.</li><li>Demonstrated ability to define engineering standards, influence architectural decisions, and lead technical initiatives across multiple teams.</li><li>Excellent communication and technical writing skills, with the ability to document architecture, influence stakeholders, and mentor senior engineers.</li><li>Passion for building scalable, reliable, maintainable, and cost-efficient data platforms.</li><li>Nice to Have Experience designing enterprise-scale streaming architectures using Apache Flink.</li><li>Experience leading lakehouse migrations using Apache Iceberg or similar technologies.</li><li>Experience implementing large-scale CDC platforms using Debezium.</li><li>Experience building self-service data platforms and developer tooling.</li><li>Experience with ML Feature Stores, Customer Data Platforms (CDPs), or real-time personalization platforms.</li><li>Experience working in high-growth technology companies, marketplace platforms, or on-demand delivery businesses.</li><li>Experience contributing to open-source technologies or internal engineering frameworks.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading international organization is looking for a Head of IT Engineering to lead its global technology engineering function. The role covers software development, AI solutions, data engineering, enterprise architecture, systems integration, and technical governance. The selected candidate will define engineering standards, manage internal and external teams, oversee the software development lifecycle, and ensure technology solutions are aligned with global architecture, security, and infrastructure strategies. Key Responsibilities Lead internal and external software development teams Manage the full software development lifecycle, including requirements, design, development, testing, deployment, support, and maintenance Oversee the development of business applications, digital products, and AI-enabled solutions Define development standards, methodologies, and engineering practices Lead the design and delivery of AI-based business solutions Evaluate emerging technologies and identify practical business use cases Define and manage enterprise data architecture Lead the development of data warehouses, data lakes, and analytics platforms Define enterprise architecture standards and principles Govern integration approaches, APIs, middleware, and data exchange mechanisms Chair architecture review processes and governance forums Collaborate with application, infrastructure, security, and business teams Monitor technical debt and architecture compliance Manage external service providers, consulting partners, and software vendors Oversee contracts, budgets, resource planning, and performance indicators Lead, coach, and develop global engineering and architecture teams Required Skills Minimum 10 years of experience in Information Technology Minimum 5 years of experience leading global technology teams Strong experience managing software development organizations and distributed engineering teams Solid background in enterprise architecture, systems integration, and data platforms Experience managing third-party technology partners and vendors Experience managing technology budgets and contracts Strong knowledge of SDLC, DevOps practices, and cloud-native architectures Experience with API and integration platforms Strong leadership, stakeholder management, and communication skills Ability to balance innovation with governance and standardization Technical Knowledge Experience with several of the following: Microsoft Azure Microsoft Fabric Snowflake SAP Data Warehousing and Data Lake architectures API and Integration platforms Enterprise Architecture practices SDLC DevOps tools and practices Cloud platforms and cloud-native architectures Nice to Have Experience with AI, Machine Learning, Generative AI, or Agentic AI solutions Experience in commodity trading, agriculture, logistics, supply chain, manufacturing, or similar industries Experience working in multinational organizations with globally distributed operations</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 10 years of experience in Information Technology</li><li>Minimum 5 years of experience leading global technology teams</li><li>Strong experience managing software development organizations and distributed engineering teams</li><li>Solid background in enterprise architecture, systems integration, and data platforms</li><li>Experience managing third-party technology partners and vendors</li><li>Experience managing technology budgets and contracts</li><li>Strong knowledge of SDLC, DevOps practices, and cloud-native architectures</li><li>Experience with API and integration platforms</li><li>Strong leadership, stakeholder management, and communication skills</li><li>Ability to balance innovation with governance and standardization</li><li>Technical Knowledge Experience with several of the following: Microsoft Azure Microsoft Fabric Snowflake SAP Data Warehousing and Data Lake architectures API and Integration platforms Enterprise Architecture practices SDLC DevOps tools and practices Cloud platforms and cloud-native architectures</li><li>Experience with AI, Machine Learning, Generative AI, or Agentic AI solutions</li><li>Experience in commodity trading, agriculture, logistics, supply chain, manufacturing, or similar industries</li><li>Experience working in multinational organizations with globally distributed operations</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a strategic, adaptable, and highly technical AI Lead to drive the design, architecture, and deployment of enterprise-grade AI solutions. The role bridges business objectives and deep technical execution, taking ownership of end-to-end AI initiatives while leading cross-functional teams and building scalable, production-ready systems in a dynamic environment.<br><br><br>The Key Responsibilities are:<br><br></span><ul><li>Strategic Roadmap Execution: Partner closely with Product leadership to translate complex business KPIs into concrete, actionable technical roadmaps.<br></li><li>Stakeholder Coordination: Act as the primary technical point of contact, organizing cross-functional alignments and managing seamless communication across diverse business stakeholders.<br></li><li>Team Mentorship: Direct and mentor cross-functional engineering and AI talent, establishing best practices across the machine learning lifecycle and fostering a culture of rapid experimentation.<br></li><li>Process Optimization: Establish organizational frameworks to navigate early-stage or unstandardized technical environments, turning ambiguity into structured, scalable engineering workflows.<br></li><li>Agentic AI Ecosystems: Direct the architecture and end-to-end development of custom Agentic AI ecosystems tailored for operational and executive workflows.<br></li><li>Advanced Orchestration: Implement advanced reasoning and decision-support systems, utilizing various orchestration frameworks to progress solutions from simple data retrieval to autonomous task execution.<br></li><li>Predictive &amp; Generative Modeling: Oversee the execution of high-performing models, including predictive forecasting architectures, Natural Language Processing (NLP), and Large Language Model (LLM) RAG infrastructures.<br></li><li>AI Democratization: Advocate for and deploy self-service AI and analytics tools (such as AWS Q or QuickSight) to empower non-technical teams, successfully mitigating data engineering bottlenecks.<br></li><li>End-to-End Lifecycle Management: Design, establish, and maintain standardized DataOps and MLOps production pipelines to streamline the machine learning lifecycle.<br></li><li>CI/CD/CT Automation: Formulate clear standards for continuous integration, continuous deployment, and automated retraining pipelines to accelerate experiment-to-deployment cycles while ensuring absolute reproducibility.<br></li><li>Cloud Architecture: Architect scalable, secure, and production-ready applications, primarily leveraging cloud ecosystems.<br></li></ul><br><br><span>Requirements</span><ul><li>A Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Data Science, or a related quantitative engineering field is required.<br></li><li>Minimum 8+ years of professional experience in machine learning, AI engineering, or related domains, including leadership experience.<br></li><li>Startup &amp; Immature Environment Exposure: Proven experience navigating an unstandardized or early-stage technical ecosystem, with a demonstrated ability to establish structure and drive operational maturity.<br></li><li>Leadership Experience: A robust background in technical leadership, team management, or directing cross-functional engineering pods.<br></li><li>Strong Coordination Skills: Exceptional organizational capabilities with a track record of coordinating and aligning priorities between business owners and technical teams.<br></li><li>ML &amp; MLOps Lifecycle Architecture: Deep expertise in core Machine Learning modeling and the end-to-end MLOps lifecycle, including CI/CD/CT pipelines and production deployment.<br></li><li>Predictive Modeling &amp; Statistical Inference: Advanced experience deploying classical machine learning architectures, including tree-based ensembles (e.g., XGBoost, Random Forest) for large-scale classification, regression, and predictive tasks.<br></li><li>Agentic Systems &amp; Vector Search: Hands-on experience designing agentic workflows using orchestration frameworks such as Amazon AgentCore and managing vector datasets with Amazon OpenSearch.<br></li><li>Enterprise Analytics &amp; Data Democratization: Strong experience leveraging BI tools such as Amazon QuickSight to enable self-service analytics across business functions.<br></li><li>Production Reliability &amp; Observability: Experience implementing production-grade monitoring, observability, and debugging tools (e.g., DataDog) for system uptime and data drift detection.<br></li><li>Cloud Infrastructure (AWS-Centric): Strong architectural knowledge of AWS ecosystems, with additional exposure to multi-cloud environments such as Microsoft Azure considered a plus.<br></li><li>Production Engineering Foundations: Solid experience building production-grade systems, including scalable data ingestion, containerization (Docker), and database engineering across SQL and NoSQL systems.<br></li><li>Work Schedule: Standard working hours aligned with business needs in Lebanon.<br></li><li>Excellent English communication skills.<br></li></ul><br><br> </div>

<p>Job Summary The Lead Data Center & Cloud Infrastructure Engineer is responsible for leading the design, deployment, and optimization of enterprise-grade data centers and hybrid cloud environments. The role covers end-to-end infrastructure including physical data center systems, compute, storage, networking, virtualization, and cloud architectures, ensuring high availability, scalability, security, and compliance with international standards. Key Responsibilities Data Center Design & Engineering Design of Tier II–IV data centers including power systems, cooling, racks, structured cabling, and redundancy architectures Define compute, storage, virtualization, and network infrastructure architecture Develop physical security systems and monitoring solutions for data center environments Cloud & Virtualization Architecture Design hybrid cloud solutions across platforms such as Microsoft Azure, AWS, and VMware Develop containerization and orchestration strategies using Docker and Kubernetes Design disaster recovery, backup, failover, and business continuity solutions Documentation & Governance Prepare detailed technical documentation including architecture diagrams, reports, and bill of materials Conduct capacity planning, performance optimization, and infrastructure security assessments Implementation & Support Oversee deployment, commissioning, and integration of data center and cloud infrastructure Evaluate vendors and lead technical reviews for hardware and software solutions Standards, Compliance & Security Ensure compliance with Uptime Institute, TIA-942, ISO 27001, NIST, and cybersecurity best practices Maintain alignment with organizational and regulatory security standards</p><p>Bachelor’s degree in Computer Engineering, Electrical Engineering, or related field Relevant certifications such as CDCP/CDCS, Microsoft Azure Solutions Architect, or VMware VCP/VCAP are preferred Minimum 10 years of experience in data center engineering, cloud infrastructure, and virtualization Strong expertise in data center design (power, cooling, redundancy) and IT infrastructure architecture Proven experience in hybrid cloud environments (Azure, AWS, VMware) Experience with containerization and orchestration technologies (Docker, Kubernetes) Strong knowledge of disaster recovery, business continuity, and high availability architectures Proficiency in data center and cloud infrastructure tools and platforms Good communication and presentation skills Good interpersonal skills Proficiency in spoken and written English and Arabic</p>

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

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a Senior Backend / AI Engineer to design, develop, and scale robust backend systems while integrating advanced AI capabilities and agentic workflows. The role focuses on building high-performance distributed systems, enabling intelligent data processing, and leveraging modern AI tools to power innovative solutions.<br><br>The Key Responsibilities are:<br><br></span><ul><li>Design, develop, and maintain scalable backend services using Node.js and Express.<br></li><li>Architect and manage databases using MongoDB and Mongoose to ensure high availability and performance.<br></li><li>Build and optimize distributed job processing systems using BullMQ and Redis.<br></li><li>Develop and integrate AI-powered features using Anthropic Claude SDK and agentic workflows.<br></li><li>Implement vector search solutions using Pinecone to support intelligent data retrieval systems.<br></li><li>Collaborate with cross-functional teams to define system architecture and deliver end-to-end solutions.<br></li><li>Optimize backend performance, scalability, and reliability across distributed systems.<br></li><li>Ensure code quality through best practices, including testing, code reviews, and documentation.<br></li><li>Deploy and maintain backend services on GCP or similar cloud environments.<br></li><li>Troubleshoot and resolve complex technical issues in production 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>Minimum of 5 years of experience in backend engineering.<br></li><li>Strong proficiency in Node.js and Express framework.<br></li><li>Solid experience with MongoDB and Mongoose.<br></li><li>Hands-on experience with Redis and job queue systems such as BullMQ or similar.<br></li><li>Experience working with AI/LLM integrations, including Anthropic Claude SDK or equivalent tools.<br></li><li>Knowledge of agentic workflows and building AI-driven applications.<br></li><li>Experience with vector databases and search technologies such as Pinecone.<br></li><li>Exposure to cloud platforms, preferably Google Cloud Platform (GCP).<br></li><li>Strong understanding of distributed systems and microservices architecture.<br></li><li>Excellent problem-solving and analytical skills.<br></li><li>Ability to work independently and collaboratively in a fast-paced environment.<br></li><li>Excellent English communication skills.<br></li></ul><b>This opportunity is remote for Egyptian applicants and Hybrid for Lebanese applicants.</b><br><br><b>​</b><br><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.</i><br><i> No hiring decision is made solely by automated means; all applications are subject to human review and assessment.</i><br><br><br><b>​</b><br><br><br><br> </div>

<p>The IC will provide specialized technical expertise in the implementation, administration, monitoring, and optimization of cloud infrastructure and DevOps platforms within Microsoft Azure. The IC will be responsible for ensuring the availability, security, scalability, and performance of enterprise systems, managing CI/CD pipelines, and writing Infrastructure as Code (IaC). Crucially, the IC will work in close coordination with the internal development team to analyze existing on-premises application architectures, gather deployment requirements, and translate current on-premises VM resource metrics into optimized, cloud-native Azure resource allocations. The IC will also execute the tactical technical migration of legacy systems from an on-premises Proxmox virtualization environment to the Microsoft Azure cloud platform.</p><p><strong>Background:</strong> The Economic and Social Commission for Western Asia (ESCWA) forms part of the United Nations Secretariat and, like the other regional commissions, operates under the supervision of the United Nations Economic and Social Council. ESCWA comprises 21 Arab countries in Western Asia and North Africa. ESCWA provides a framework for the formulation and harmonization of sectoral policies for member countries, a platform for congress and coordination, a home for expertise and knowledge, and an information observatory. ESCWA activities are coordinated with the divisions and main offices of the Headquarters of the United Nations, specialized agencies, and international and regional organizations, including the League of Arab States and its subsidiary bodies, and the Gulf Cooperation Council. This position is located in the Decision-Support and Data Science Division (DSDSD). The Decision-Support and Data Science Division is part of ESCWA's broader modernization and innovation efforts, providing advanced analytics, secure digital platforms, and decision-support services within ESCWA, other UN entities, and Member States. Aligned with the UN 2.0 agenda and grounded in operational resilience, DSDS leverages cutting-edge hybrid infrastructure, scalable cloud tech frameworks, and modern deployment models to ensure high availability, security, and performance for critical digital assets. Its core functions include enterprise cloud environment management, infrastructure automation, continuous integration and continuous deployment (CI/CD) optimization, and the migration of legacy on-premises platforms to advanced public cloud ecosystems. Through these capabilities, DSDS maintains reliable, enterprise-grade digital decision-support tools that empower evidence-based decision-making and foster organizational efficiency across the region. Under the supervision of the Chief of the Decision-Support and Data Science Division and in close collaboration with the infrastructure and digital development teams, the Individual Contractor (IC) will support the implementation, automation, secure hosting, and optimization of core cloud systems and scalable technology environments to support strategic initiative delivery.</p><p><strong>Duties and responsibilities:</strong> Within delegated authority, the IC will be responsible for independently performing the following:</p><ul><li><strong>Cloud Infrastructure Implementation &amp; Administration:</strong><ul><li>Deploy, manage, and optimize enterprise-scale cloud resources within Microsoft Azure, ensuring optimal performance, governance, and resource utilization.</li><li>Administer hybrid virtualization architectures, transitioning existing virtual machines and workloads out of the on-premises Proxmox environment into designated Azure landing zones.</li><li>Maintain and configure base operating systems across enterprise Windows Server and Linux environments hosted in the cloud.</li></ul></li><li><strong>DevOps Platform Engineering &amp; Infrastructure as Code (IaC):</strong><ul><li>Design, build, and maintain automated CI/CD pipelines using Azure DevOps to support rapid, secure, and reliable software delivery cycles.</li><li>Author, review, and maintain infrastructure state using Infrastructure as Code tools, specifically Terraform, Bicep, and ARM Templates.</li><li>Develop automated operational scripts utilizing PowerShell to streamline recurring system administration and provisioning tasks.</li></ul></li><li><strong>Application Lifecycle &amp; Developer Collaboration:</strong><ul><li>Work closely with the development team to audit existing on-premises hosted applications and gather technical requirements for upcoming Azure cloud deployments.</li><li>Analyze the resource utilization and architectural dependencies of applications currently running on on-premises virtual machines to determine the optimal Azure cloud topology.</li><li>Evaluate and recommend whether applications should be migrated as traditional Infrastructure-as-a-Service (IaaS) virtual machines or refactored into cloud-native Azure resources (such as App Services, Azure SQL, or container instances) to maximize scalability and cost-efficiency.</li><li>Provide technical guidance to developers regarding cloud deployment pathways, access control configurations, and performance optimization on Azure.</li></ul></li><li><strong>Cloud Security, Identity, &amp; Monitoring:</strong><ul><li>Manage cloud governance, object lifecycles, and secure identity mapping through Azure Active Directory (Azure AD / Entra ID).</li><li>Configure comprehensive observability setups using Azure Monitor and Log Analytics to establish proactive system alerts, log analysis, and performance tracking.</li><li>Implement infrastructure hardening, security controls, and operational best practices across all deployed cloud frameworks.</li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><p>A bachelor's degree in Computer Science, Computer Engineering, Information Technology, Cloud Engineering, System Administration, or related technical fields is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 3 years of professional experience in system administration, IT infrastructure operations, or cloud platforms architecture is required. Demonstrated hands-on experience deploying, administering, and monitoring production cloud environments using Microsoft Azure is required. Proven experience building automated CI/CD pipelines and developing infrastructure deployments utilizing Infrastructure as Code tools (Terraform, Bicep, or ARM Templates) is required. Proven experience collaborating directly with software development teams to extract application performance metrics, translate software requirements into infrastructure specifications, and plan application modernization strategies is required. Solid technical proficiency in scripting with PowerShell and configuring core infrastructure services, including Windows Server, Linux, and Azure Active Directory, is desirable. Practical technical experience supporting or executing system migrations from on-premises hypervisors (specifically Proxmox VE or VMware) to public cloud environments (Microsoft Azure) is highly desirable. Official Microsoft certifications (e.g., Azure Administrator Associate, Azure DevOps Engineer Expert, or Azure Solutions Architect Expert) are highly desirable.</p><p>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required and knowledge of Arabic is desirable. Note: Fluency equals a rating of fluent in all four areas (speak, read, write, and understand) and Knowledge of equals a rating of confident in two of the four areas.</p>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The IC will provide specialized technical expertise in the implementation, administration, monitoring, and optimization of cloud infrastructure and DevOps platforms within Microsoft Azure. The IC will be responsible for ensuring the availability, security, scalability, and performance of enterprise systems, managing CI/CD pipelines, and writing Infrastructure as Code (IaC). Crucially, the IC will work in close coordination with the internal development team to analyze existing on-premises application architectures, gather deployment requirements, and translate current on-premises VM resource metrics into optimized, cloud-native Azure resource allocations. The IC will also execute the tactical technical migration of legacy systems from an on-premises Proxmox virtualization environment to the Microsoft Azure cloud platform.<br> Work Location<br>UN-House ESCWA<br> Expected duration<br>6 months<br> Duties and Responsibilities<br>Background: The Economic and Social Commission for Western Asia (ESCWA) forms part of the United Nations Secretariat and, like the other regional commissions, operates under the supervision of the United Nations Economic and Social Council. ESCWA comprises 21 Arab countries in Western Asia and North Africa. ESCWA provides a framework for the formulation and harmonization of sectoral policies for member countries, a platform for congress and coordination, a home for expertise and knowledge, and an information observatory. ESCWA activities are coordinated with the divisions and main offices of the Headquarters of the United Nations, specialized agencies, and international and regional organizations, including the League of Arab States and its subsidiary bodies, and the Gulf Cooperation Council. This position is located in the Decision-Support and Data Science Division (DSDSD). The Decision-Support and Data Science Division is part of ESCWA's broader modernization and innovation efforts, providing advanced analytics, secure digital platforms, and decision-support services within ESCWA, other UN entities, and Member States. Aligned with the UN 2.0 agenda and grounded in operational resilience, DSDS leverages cutting-edge hybrid infrastructure, scalable cloud tech frameworks, and modern deployment models to ensure high availability, security, and performance for critical digital assets. Its core functions include enterprise cloud environment management, infrastructure automation, continuous integration and continuous deployment (CI/CD) optimization, and the migration of legacy on-premises platforms to advanced public cloud ecosystems. Through these capabilities, DSDS maintains reliable, enterprise-grade digital decision-support tools that empower evidence-based decision-making and foster organizational efficiency across the region. Under the supervision of the Chief of the Decision-Support and Data Science Division and in close collaboration with the infrastructure and digital development teams, the Individual Contractor (IC) will support the implementation, automation, secure hosting, and optimization of core cloud systems and scalable technology environments to support strategic initiative delivery. Duties and responsibilities: Within delegated authority, the IC will be responsible for independently performing the following: - Cloud Infrastructure Implementation &amp; Administration: o Deploy, manage, and optimize enterprise-scale cloud resources within Microsoft Azure, ensuring optimal performance, governance, and resource utilization. o Administer hybrid virtualization architectures, transitioning existing virtual machines and workloads out of the on-premises Proxmox environment into designated Azure landing zones. o Maintain and configure base operating systems across enterprise Windows Server and Linux environments hosted in the cloud. - DevOps Platform Engineering &amp; Infrastructure as Code (IaC): o Design, build, and maintain automated CI/CD pipelines using Azure DevOps to support rapid, secure, and reliable software delivery cycles. o Author, review, and maintain infrastructure state using Infrastructure as Code tools, specifically Terraform, Bicep, and ARM Templates. o Develop automated operational scripts utilizing PowerShell to streamline recurring system administration and provisioning tasks. - Application Lifecycle &amp; Developer Collaboration: o Work closely with the development team to audit existing on-premises hosted applications and gather technical requirements for upcoming Azure cloud deployments. o Analyze the resource utilization and architectural dependencies of applications currently running on on-premises virtual machines to determine the optimal Azure cloud topology. o Evaluate and recommend whether applications should be migrated as traditional Infrastructure-as-a-Service (IaaS) virtual machines or refactored into cloud-native Azure resources (such as App Services, Azure SQL, or container instances) to maximize scalability and cost-efficiency. o Provide technical guidance to developers regarding cloud deployment pathways, access control configurations, and performance optimization on Azure. - Cloud Security, Identity, &amp; Monitoring: o Manage cloud governance, object lifecycles, and secure identity mapping through Azure Active Directory (Azure AD / Entra ID). o Configure comprehensive observability setups using Azure Monitor and Log Analytics to establish proactive system alerts, log analysis, and performance tracking. o Implement infrastructure hardening, security controls, and operational best practices across all deployed cloud frameworks.<br> Qualifications/special skills<br>A bachelor's degree in Computer Science, Computer Engineering, Information Technology, Cloud Engineering, System Administration, or related technical fields is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 3 years of professional experience in system administration, IT infrastructure operations, or cloud platforms architecture is required. Demonstrated hands-on experience deploying, administering, and monitoring production cloud environments using Microsoft Azure is required. Proven experience building automated CI/CD pipelines and developing infrastructure deployments utilizing Infrastructure as Code tools (Terraform, Bicep, or ARM Templates) is required. Proven experience collaborating directly with software development teams to extract application performance metrics, translate software requirements into infrastructure specifications, and plan application modernization strategies is required. Solid technical proficiency in scripting with PowerShell and configuring core infrastructure services, including Windows Server, Linux, and Azure Active Directory, is desirable. Practical technical experience supporting or executing system migrations from on-premises hypervisors (specifically Proxmox VE or VMware) to public cloud environments (Microsoft Azure) is highly desirable. Official Microsoft certifications (e.g., Azure Administrator Associate, Azure DevOps Engineer Expert, or Azure Solutions Architect Expert) are highly desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required and knowledge of Arabic is desirable. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>Recruitment for this position is on a local basis. The incumbent is required to have the legal right to live and work in the specified working location.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking to hire three experienced Network Engineer responsible for managing PPPoE subscriber environments, supporting reseller integrations, and maintaining MikroTik-based access networks. The engineer will work closely with resellers using proradius platform, ensuring stable onboarding, configuration, and operation of PPPoE users across multiple network architectures.</p><p>Location: Head Office - Sin el Fil</p><p>We offer excellent work environment, excellent compensation, insurance from top international insurer, etc.</p><p>Key Responsibilities</p><ul><li>Managing and supporting PPPoE subscriber environments.</li><li>Configuring and maintaining MikroTik CCR routers used by resellers.</li><li>Assisting resellers in deploying and troubleshooting PPPoE infrastructure.</li><li>Supporting reseller onboarding on our RADIUS platform (ProRadius).</li><li>Monitoring and troubleshooting subscriber connectivity issues.</li><li>Working with reseller network architectures</li><li>Maintaining documentation and standard configuration templates.</li></ul><p>Required Technical Skills</p><ul><li>Strong understanding of PPPoE architecture and subscriber management.</li><li>Experience with MikroTik RouterOS, especially CCR/CRS/CSS series.</li><li>Knowledge of VLANs, bridging, NAT, QoS basics, and routing fundamentals.</li><li>Understanding of ISP reseller environments.</li><li>Experience troubleshooting CPE connectivity and last-mile networks.</li><li>Ability to analyze and optimize subscriber traffic flows.</li><li>Working knowledge of RADIUS concepts.</li><li>Familiarity with ProRadius or similar billing/authentication systems.</li><li>Basic knowledge of Linux environments.</li><li>Exposure to accel-ppp or similar PPPoE server platforms is a strong advantage.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Strong understanding of PPPoE architecture and subscriber management.</p><p>Experience with MikroTik RouterOS, especially CCR/CRS/CSS series.</p><p>Knowledge of VLANs, bridging, NAT, QoS basics, and routing fundamentals.</p><p>Understanding of ISP reseller environments.</p><p>Experience troubleshooting CPE connectivity and last-mile networks.</p><p>Ability to analyze and optimize subscriber traffic flows.</p><p>Working knowledge of RADIUS concepts.</p><p>Familiarity with ProRadius or similar billing/authentication systems.</p><p>Basic knowledge of Linux environments.</p><p>Exposure to accel-ppp or similar PPPoE server platforms is a strong advantage.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Key ResponsibilitiesTechnical Presales Support Collaborate with sales teams to understand customer business and technical requirements in KSA and UAE Design and propose suitable technical solutions aligned with customer needs.<br> Prepare technical proposals, solution architectures, and statements of work.<br> Conduct product presentations, demonstrations, and proof-of-concept (POC) sessions.<br> Respond to RFPs, RFIs, and RFQs with technical and functional inputs.<br> Assist in effort estimation, BOM preparation, and solution sizing.<br> Customer Engagement Participate in customer meetings, workshops, and discovery sessions.<br> Explain technical concepts clearly to both technical and non-technical stakeholders.<br> Build trusted relationships with customers, partners, and internal teams.<br> Address customer technical concerns and provide recommendations.<br> Solution Design &amp; Documentation Prepare high-level and low-level solution designs when required.<br> Create architecture diagrams, implementation approaches, and integration workflows.<br> Ensure proposed solutions follow best practices, scalability, security, and compliance standards.<br> Collaboration Coordinate with engineering, delivery, product, and support teams.<br> Work closely with project managers and solution architects during transition to delivery.<br> Support continuous improvement of presales assets, templates, and demo environments.<br> Market &amp; Product Knowledge Stay updated on industry trends, competitor solutions, and emerging technologies.<br> Maintain strong understanding of company products, services, and capabilities.<br> Required Qualifications Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.<br> 3–6 years of experience in presales, solution engineering, systems engineering, or technical consulting.<br> Experience in preparing technical proposals and responding to RFPs.<br> Strong understanding of enterprise IT solutions, cloud technologies, integrations, and software architectures.<br> Excellent communication and presentation skills.<br> Ability to work in a fast-paced, customer-facing environment.<br> Preferred Skills Experience with cloud platforms such as Azure, AWS, or Google Cloud.<br> Knowledge of APIs, integrations, databases, and enterprise applications.<br> Familiarity with cybersecurity, infrastructure, data, or AI solutions is a plus.<br> Experience with diagramming and documentation tools (Visio, Draw.<br>io, etc.). Relevant technical certifications are advantageous.<br> Soft Skills Strong analytical and problem-solving abilities.<br> Customer-oriented mindset.<br> Strong teamwork and collaboration skills.<br> Ability to manage multiple opportunities simultaneously.<br> Good negotiation and stakeholder management skills.<br> KPIs / Success Metrics Quality and timeliness of technical proposals.<br> Win rate contribution.<br> Customer satisfaction during presales engagements.<br> Accuracy of solution sizing and estimations.<br> Number of successful demos and POCs delivered.<br></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><h4>Aspire Software company overview</h4> <p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.</p> <h4>Key responsibilities</h4> <ul> <li>Build and ship AI features using our PHP/MySQL/React/Node stack with OpenAI API integration.</li> <li>Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.</li> <li>Help improve the external MCP connector schema, authentication, and capability surface.</li> <li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li> <li>Build the token metering and usage tracking layer per feature, per customer, per tier.</li> <li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li> <li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li> <li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li> <li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li> </ul> <h4>Requirements</h4> <strong>AI product development</strong> <ul> <li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li> <li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li> <li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li> <li>Experience building quality evaluation and output validation frameworks around AI features.</li> <li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li> </ul> <strong>Platform & architecture thinking</strong> <ul> <li>Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.</li> <li>Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.</li> <li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li> <li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li> </ul> <strong>Core stack</strong> <ul> <li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li> <li>Solid PHP development experience — comfortable extending a production codebase, not just greenfield.</li> <li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li> <li>Typescript: used on the backend of the MCP layer.</li> </ul> <p>Bachelor’s degree in Computer Science, Information Systems, Engineering or a related field.</p> <p>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</p> <p>Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.</p> <p>Strong presentation, communication, and stakeholder management skills.</p> <p>Experience working directly with customers and senior business stakeholders.</p> <p>Excellent problem-solving and analytical skills.</p></p><p></p>

<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: This role sits at the center of that buildout.<br> You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming.<br> We need someone who can execute and see around corners someone who understands both the product experience and the platform mechanics underneath it.<br> Key Responsibilities Build and ship AI features using our PHP/MySQL/React/Node stack with OpenAI API integration.<br> Extend Astro Core chatbot capabilities new read/write actions, graph generation, analysis outputs.<br> Help improve the external MCP connector schema, authentication, capability surface.<br> Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.<br> Build the token metering and usage tracking layer per-feature, per-customer, per-tier.<br> Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.<br> Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.<br> Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.<br> Stay current on the AI tooling landscape and bring concrete recommendations to the team.<br> AI Product Development Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.<br> Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.<br> Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.<br> Experience building quality evaluation and output validation frameworks around AI features.<br> Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.<br> Platform &amp; Architecture Thinking Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.<br> Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.<br> Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.<br> Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.<br> Core Stack React and Node: able to build frontend components that surface AI features, including data visualizations.<br> Solid PHP development experience — comfortable extending a production codebase, not just greenfield.<br> MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.<br> Typescript: used on the backend of the MCP layerBachelor’s degree in computer science, Information Systems, Engineering or a related field.<br> 3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.<br> Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and automation concepts.<br> Strong presentation, communication, and stakeholder management skills.<br> Experience working directly with customers and senior business stakeholders.<br> Excellent problem-solving and analytical skills.<br></span> </div>

<p><h4>Description</h4> <p>Aspire Software is looking for an intermediate software developer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>Role overview</h4> <p>The software developer is responsible for designing, building, and maintaining high-quality software solutions across our full technology stack. Working within a collaborative development team, the role encompasses full-stack development using C#/.NET 8+, React/TypeScript, and ASP.NET Core, with data managed across SQL Server and MongoDB on Azure cloud and hybrid on-premises infrastructure. The software developer contributes to the full development lifecycle—from requirements analysis through to deployment and ongoing support—while upholding strong engineering standards and continuous improvement practices.</p> <h4>Outcomes and key responsibilities</h4> <ul> <li>Design, develop, test, and debug applications using C# and .NET 8 or above</li> <li>Build and maintain ASP.NET Core MVC and Razor web applications</li> <li>Develop front-end features using React, TypeScript, and Vite</li> <li>Design and query databases across SQL Server and MongoDB, ensuring performance and data integrity</li> <li>Deploy, monitor, and support applications on Azure cloud and hybrid on-premises infrastructure</li> <li>Collaborate with the development team, project managers, and stakeholders to deliver software to specification</li> <li>Participate in code reviews, uphold coding standards, and contribute to continuous improvement of engineering practices</li> <li>Write and maintain technical documentation, including API documentation and system architecture notes</li> <li>Stay current with evolving technologies, frameworks, and best practices relevant to our stack</li> </ul> <h4>Requirements</h4> <ul> <li>Strong proficiency in C# and the .NET ecosystem (.NET 8 or above)</li> <li>Experience building ASP.NET Core MVC and Razor applications</li> <li>Front-end development skills in React, TypeScript, and Vite</li> <li>Solid experience with SQL Server and MongoDB for data modelling and querying</li> <li>Familiarity with Azure cloud services and hybrid on-premises deployment environments</li> <li>Knowledge of Agile development methodologies and version control with Git</li> <li>Strong analytical and problem-solving skills with excellent written and verbal communication</li> <li>Ability to work independently and collaboratively, with strong attention to detail and ability to meet deadlines</li> </ul> <h4>Experience</h4> <p>Minimum 5 years’ experience in a software developer role, with at least 3 years working in .NET/C# development.</p> <h4>Qualifications</h4> <p>Bachelor's degree in computer science or related field preferred.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The IC will deliver a series of infrastructure, virtualization, and application support outputs over the course of the 6 month assignment. The required deliverables comprise: a complete Proxmox cluster optimization and high-availability (HA) baseline consisting of a health check, resource tuning, and failover configuration for production virtualization nodes; a storage expansion and virtual machine provisioning framework detailing the successful integration and masking of new LUNs alongside resource allocation strategies; and dedicated operational support for hosted applications, including resolution logs and step-by-step troubleshooting runbooks for on-premises, customer-facing platforms to minimize operational downtime. Furthermore, the IC will provide a legacy system assessment and modernization blueprint encompassing the technical solution designs and architecture roadmaps necessary to phase out outdated environments; implement a robust backup, recovery, and cluster monitoring stack that establishes automated VM backup/snapshot lifecycles and performance monitoring dashboards for compute, storage, and network layers; and conclude with a formal operational handover and technical documentation package consisting of full administration manuals, infrastructure topology diagrams, and a structured internal knowledge-transfer workshop for the team. Work Location Hybrid: UN-House/Remote Expected duration 6 months Duties and Responsibilities Background: The Economic and Social Commission for Western Asia (ESCWA) forms part of the United Nations Secretariat and, like the other regional commissions, operates under the supervision of the United Nations Economic and Social Council. ESCWA comprises 21 Arab countries in Western Asia and North Africa. ESCWA provides a framework for the formulation and harmonization of sectoral policies for member countries, a platform for congress and coordination, a home for expertise and knowledge, and an information observatory. ESCWA activities are coordinated with the divisions and main offices of the Headquarters of the United Nations, specialized agencies, and international and regional organizations, including the League of Arab States and its subsidiary bodies, and the Gulf Cooperation Council. This position is located in the Decision-Support and Data Science Division (DSDSD). The Decision-Support and Data Science Division is part of ESCWA's broader modernization and innovation efforts, providing advanced analytics, secure digital platforms, and decision-support services within ESCWA, other UN entities, and Member States. Aligned with the UN 2.0 agenda and grounded in operational resilience, DSDS leverages cutting-edge infrastructure, enterprise virtualization, and scalable technology frameworks to ensure high availability, security, and performance for critical digital assets. Its core functions include virtualization cluster management, storage provisioning, container orchestration, the administration of on-premises hosted applications for external partners, and the modernization of legacy enterprise systems. Through these capabilities, DSDS maintains reliable, enterprise-grade digital decision-support tools that empower evidence-based decision-making and foster organizational efficiency across the region. Under the supervision of the Chief of the Decision-Support and Data Science Division and in close collaboration with the infrastructure and digital development teams, the Individual Contractor (IC) will support the development, virtualization, maintenance, and optimization of core infrastructure systems and architectures to support strategic initiative delivery. Duties and responsibilities: The Virtualization and Systems Administrator will perform the following tasks: System Administration: o Administer and maintain Proxmox virtualization clusters hosting production and development workloads. o Managed VM provisioning, cloning, snapshots, backups, and lifecycle operations. o Configured high availability (HA) and failover mechanisms for critical business applications. o Performed cluster monitoring, capacity planning, and resource optimization across compute and storage nodes. o Managed virtual networking, VLANs, bridges, and inter-VM connectivity. o Monitored cluster health, CPU, memory, storage, and network performance. o Diagnosed and resolved virtualization, storage, and networking issues impacting production services. o Tuned virtual machine resource allocations to improve performance and infrastructure efficiency. o Conducted regular maintenance, upgrades, and security patching of Proxmox nodes. o Administered Kubernetes clusters, including deployment, scaling, monitoring, and troubleshooting of containerized applications to ensure high availability and reliable service delivery. Storage Allocation &amp; Administration: o Conduct storage volume management tasks, introducing, configuring, and masking new LUNs from the storage networks to the virtualization clusters. o Optimize high-throughput storage paths and performance partitioning strategies to eliminate application latencies. On-Premises Application Support &amp; Maintenance: o Provide operational support for specialized on-premises applications hosted internally for external partners and customers. o Debug application layer issues, service disruptions, and database connectivity dropouts to maximize system uptime. o Manage containerized application stacks using Kubernetes, ensuring deployment, resource scaling, and service discovery remain active. Legacy Modernization &amp; Solution Creation: o Participate in technical solution designs targeted at upgrading, migrating, or completely replacing legacy enterprise environments. o Formulate infrastructure migration steps, system topology blueprints, and infrastructure-as-code runbooks to safely phase out outdated legacy platforms.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A bachelor's degree in Computer Science, Computer Engineering, Information Technology, System Administration, Statistics, Data Science, or related fields is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed.</li><li>Minimum 6 years of professional experience in designing and deploying data systems, data center virtualization, infrastructure management, with demonstrated consultancy or technical leadership roles is required.</li><li>Proven experience with cloud environments (Azure, AWS, or GCP), container orchestration (Kubernetes), DevOps automation, Proxmox VE (or equivalent enterprise hypervisors), virtual machine provisioning, cluster high-availability (HA), and network configuration (VLANs, bridges) is required.</li><li>Demonstrated experience in storage area network (SAN) administration, including the integration, masking, and management of new LUNs, is required.</li><li>Experience with infrastructure monitoring tools, and troubleshooting on-premises hosted applications is required.</li><li>Strong familiarity with legacy system migration strategies, infrastructure modernization planning, and disaster recovery execution is desirable.</li><li>Excellent analytical, problem-solving, and communication skills is required.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>DAZARCHITECTS is an Architectural, Interior, and Engineering consultancy firm dedicated to innovative excellence. Since its inception in 2000, it has built a reputation for exceptional design and service. The firm, founded by Dani Abi Zeid, has been recognized for its diverse range of projects, from small private developments to large government ventures. With branches in Beirut and Muscat, Oman, DAZARCHITECTS ensures positive outcomes through flexible project management systems and a commitment to realizing clients’ visions.</p><br><br>Job Description<br><p>This is a full-time on-site role located in Zalqa for a Landscape Architect. The Landscape Architect will be responsible for planning, and overseeing landscaping projects. Day-to-day tasks include creating landscape plans, developing planting plans, collaborating with clients and project teams, and ensuring projects are executed to meet design specifications and client expectations.</p><br><br>Qualifications<br><ul><li>Skills in Landscape Planning, Landscape Design, and Landscape Architecture</li><li>Proficiency in Landscaping and creating Planting Plans</li><li>Strong creative and conceptual skills</li><li>Excellent communication and collaboration abilities</li><li>Experience in project management</li><li>Bachelor’s degree in Landscape Architecture</li><li>Previous experience in similar roles is advantageous</li></ul><br><br> </div>