System Architecture jobs in Lebanon
218 Jobs Found
<p><br></p><div><div><div><div> </div> <div> <p> </p> <p> </p> </div> <div> <p> <b>What You Will Do</b> </p> <p> </p> </div> <div> <p> <b>Business Domain Architecture</b> </p> </div> <div> <ul> <li> <p> <span>Own the target architecture and roadmap for the Operations domain.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Drive the evolution of business capabilities across collateral, settlement, reconciliation, and processing workflows.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Translate strategic business challenges into scalable platform solutions.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Ensure architectural consistency across products, services, and software functions.</span> </p> </li> </ul> </div> </div> <div> <div> <ul> <li> <p> <span>Define and maintain business solution blueprints and domain architecture documentation.</span> </p> </li> </ul> </div> <div> <p> </p> <p> <b>SBI Architecture Leadership</b> </p> </div> <div> <ul> <li> <p> <span>Define and communicate SBI-level architecture.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Ensure epics, features, and implementation roadmaps align with business and platform architecture objectives.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Drive architectural trade-offs, investment decisions, sequencing, and dependency management.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Collaborate across domains and agile trains to ensure coherent delivery and long-term sustainability. (Derived from the SBI Architect responsibilities shown in the provided material.) </span> </p> </li> </ul> </div> <div> <p> </p> <p> <b>System Architecture</b> </p> </div> <div> <ul> <li> <p> <span>Guide agile trains in delivering solutions aligned with architecture principles and standards.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Ensure architecturally significant requirements are identified, documented, and addressed.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Manage technical debt and architectural runway investments.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Validate solution designs through architecture governance processes.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Mentor teams and raise architectural maturity across the organization.</span> </p> </li> </ul> </div> <div> <p> </p> <p> <b>Architectural Governance</b> </p> </div> <div> <ul> <li> <p> <span>Lead architecture reviews and decision-making processes.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Own Architecture Decision Records (ADRs) and architecture governance practices.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Define and maintain standards, guidelines, design principles, and reference architectures.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Influence strategic technology choices and platform evolution.</span> </p> </li> </ul> </div> <div> <p> </p> <p> </p> </div> <div> <p> <b>What You Will Own</b> </p> <p> </p> </div> <div> <p> <span>You will be accountable for key architecture artifacts including:</span> </p> </div> </div> <div> <div> <ul> <li> <p> <span>Architecture vision and multi-year roadmap</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Domain blueprints and target-state architectures</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Architecture Decision Records (ADRs)</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>High-level solution and integration diagrams</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Capability and non-functional architecture documentation</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Governance frameworks and architecture standards</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Executive architecture communications and strategy presentations</span> </p> </li> </ul> </div> <div> <p> </p> <p> </p> <p> <b>What We're Looking For</b> </p> <p> </p> </div> <div> <p> <b>Required Experience</b> </p> </div> <div> <ul> <li> <p> <span>12+ years of experience designing large-scale enterprise software platforms.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Strong software architecture expertise covering distributed systems, cloud-native architectures, event-driven systems, integration platforms, scalability, resilience, and security.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Proven experience leading architecture across multiple teams and products.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Experience influencing strategic technology decisions without direct authority.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Strong understanding of software delivery within agile organizations.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Demonstrated ability to mentor senior engineers and architects.</span> </p> </li> </ul> </div> <div> <p> </p> <p><br></p></div></div><div><div> </div> </div> <p> </p> </div> </div> <div> <div> </div> </div>
<p><br></p><p>Your Mission</p><p>As the architectural leader for the Operations domain, you will ensure that business solutions evolve coherently with Murex's platform strategy while delivering measurable value to clients and market participants. You will serve as the primary architecture partner for business domain management, product management, development teams, and platform architects, ensuring alignment between business objectives, software architecture, and execution strategy.</p><p>What You Will Do</p><p>Business Domain Architecture</p><ul><li>Own the target architecture and roadmap for the Operations domain.</li><li>Drive the evolution of business capabilities across collateral, settlement, reconciliation, and processing workflows.</li><li>Translate strategic business challenges into scalable platform solutions.</li><li>Ensure architectural consistency across products, services, and software functions.</li><li>Define and maintain business solution blueprints and domain architecture documentation.</li></ul><p>SBI Architecture Leadership</p><ul><li>Define and communicate SBI-level architecture.</li><li>Ensure epics, features, and implementation roadmaps align with business and platform architecture objectives.</li><li>Drive architectural trade-offs, investment decisions, sequencing, and dependency management.</li><li>Collaborate across domains and agile trains to ensure coherent delivery and long-term sustainability. (Derived from the SBI Architect responsibilities shown in the provided material.)</li></ul><p>System Architecture</p><ul><li>Guide agile trains in delivering solutions aligned with architecture principles and standards.</li><li>Ensure architecturally significant requirements are identified, documented, and addressed.</li><li>Manage technical debt and architectural runway investments.</li><li>Validate solution designs through architecture governance processes.</li><li>Mentor teams and raise architectural maturity across the organization.</li></ul><p>Architectural Governance</p><ul><li>Lead architecture reviews and decision-making processes.</li><li>Own Architecture Decision Records (ADRs) and architecture governance practices.</li><li>Define and maintain standards, guidelines, design principles, and reference architectures.</li><li>Influence strategic technology choices and platform evolution.</li></ul><p>What You Will Own</p><p>You will be accountable for key architecture artifacts including:</p><ul><li>Architecture vision and multi-year roadmap</li><li>Domain blueprints and target-state architectures</li><li>Architecture Decision Records (ADRs)</li><li>High-level solution and integration diagrams</li><li>Capability and non-functional architecture documentation</li><li>Governance frameworks and architecture standards</li><li>Executive architecture communications and strategy presentations</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Extensive experience designing large-scale enterprise software platforms.</li><li>Strong software architecture expertise covering distributed systems, cloud-native architectures, event-driven systems, integration platforms, scalability, resilience, and security.</li><li>Proven experience leading architecture across multiple teams and products.</li><li>Experience influencing strategic technology decisions without direct authority.</li><li>Strong understanding of software delivery within agile organizations.</li><li>Demonstrated ability to mentor senior engineers and architects.</li><li>Domain Expertise We are particularly interested in candidates with experience in one or more of the following areas: Capital Markets Securities Finance Collateral Management Post-Trade Processing Settlement & Clearing Reconciliation Platforms Operations and Back Office Systems Risk, Regulatory and Financial Market Infrastructure solutions</li><li>Leadership Characteristics You are: A strategic thinker capable of defining long-term architectural vision. Comfortable making complex trade-offs involving business value, delivery cost, scalability, and risk. Able to influence senior stakeholders across product, engineering, and business functions. Passionate about architecture excellence, technical mentoring, and organizational transformation. Equally comfortable discussing details with developers and strategy with executives.</li></ul>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><span>Murex is a global fintech leader in trading, risk management and processing solutions for capital markets.</span></p><br><p><span>Operating from our 19 offices, 3 400 Murexians from over 65 different nationalities ensure the development, implementation and support of our platform which is used by banks, asset managers, corporations and utilities, across the world. </span></p><br><p><span>Join Murex and work on the challenges of an industry at the forefront of innovation and thrive in a people-centric environment. You’ll be part of one global team where you can learn fast and stay true to yourself.</span></p><br><p><span><span>We are looking for a </span></span><b><span>Business Domain Solution Architect</span></b><span><span>to lead the architecture of our </span></span><b><span>Operations Business Domain</span></b><span><span>, covering critical post-trade and operational functions including:</span></span></p><br><br><ul><li><p><span><span>Collateral Management</span></span></p><br></li></ul><br><ul><li><p><span><span>Settlements</span></span></p><br></li></ul><br><ul><li><p><span><span>Reconciliation</span></span></p><br></li></ul><br><ul><li><p><span><span>One Stop Processing (OSP)</span></span></p><br></li></ul><br><p><span><span>This role combines the responsibilities of </span></span><b><span>Business Domain Architect</span></b><span><span>, </span></span><b><span>System Architect</span></b><span><span>, and </span></span><b><span>SBI Architect</span></b><span><span>, making it one of the most strategic architecture positions within the organization.</span></span></p><br><br><p><span><span>You will define the architectural vision for a major business domain, influence product strategy, shape large-scale platform evolution, and ensure successful delivery across multiple development organizations and agile trains</span><span>.</span></span></p><br><br><p><b><span>Your Mission</span></b></p><br><br><p><span><span>As the architectural leader for the Operations domain, you will ensure that business solutions evolve coherently with Murex's platform strategy while delivering measurable value to clients and market participants.</span></span></p><br><br><p><span><span>You will serve as the primary architecture partner for business domain management, product management, development teams, and platform architects, ensuring alignment between business objectives, software architecture, and execution strategy. </span></span></p><br><br><p><b><span>What You Will Do</span></b></p><br><br><p><b><span>Business Domain Architecture</span></b></p><br><br><ul><li><p><span><span>Own the target architecture and roadmap for the Operations domain.</span></span></p><br></li></ul><br><ul><li><p><span><span>Drive the evolution of business capabilities across collateral, settlement, reconciliation, and processing workflows.</span></span></p><br></li></ul><br><ul><li><p><span><span>Translate strategic business challenges into scalable platform solutions.</span></span></p><br></li></ul><br><ul><li><p><span><span>Ensure architectural consistency across products, services, and software functions.</span></span></p><br></li></ul><br><br><ul><li><p><span><span>Define and maintain business solution blueprints and domain architecture documentation.</span></span></p><br></li></ul><br><p><b><span>SBI Architecture Leadership</span></b></p><br><br><ul><li><p><span><span>Define and communicate SBI-level architecture.</span></span></p><br></li></ul><br><ul><li><p><span><span>Ensure epics, features, and implementation roadmaps align with business and platform architecture objectives.</span></span></p><br></li></ul><br><ul><li><p><span><span>Drive architectural trade-offs, investment decisions, sequencing, and dependency management.</span></span></p><br></li></ul><br><ul><li><p><span><span>Collaborate across domains and agile trains to ensure coherent delivery and long-term sustainability. (Derived from the SBI Architect responsibilities shown in the provided material.)</span></span></p><br></li></ul><br><p><b><span>System Architecture</span></b></p><br><br><ul><li><p><span><span>Guide agile trains in delivering solutions aligned with architecture principles and standards.</span></span></p><br></li></ul><br><ul><li><p><span><span>Ensure architecturally significant requirements are identified, documented, and addressed.</span></span></p><br></li></ul><br><ul><li><p><span><span>Manage technical debt and architectural runway investments.</span></span></p><br></li></ul><br><ul><li><p><span><span>Validate solution designs through architecture governance processes.</span></span></p><br></li></ul><br><ul><li><p><span><span>Mentor teams and raise architectural maturity across the organization.</span></span></p><br></li></ul><br><p><b><span>Architectural Governance</span></b></p><br><br><ul><li><p><span><span>Lead architecture reviews and decision-making processes.</span></span></p><br></li></ul><br><ul><li><p><span><span>Own Architecture Decision Records (ADRs) and architecture governance practices.</span></span></p><br></li></ul><br><ul><li><p><span><span>Define and maintain standards, guidelines, design principles, and reference architectures.</span></span></p><br></li></ul><br><ul><li><p><span><span>Influence strategic technology choices and platform evolution</span><span>.</span></span></p><br></li></ul><br><p><b><span>What You Will Own</span></b></p><br><br><p><span><span>You will be accountable for key architecture artifacts including:</span></span></p><br><br><br><ul><li><p><span><span>Architecture vision and multi-year roadmap</span></span></p><br></li></ul><br><ul><li><p><span><span>Domain blueprints and target-state architectures</span></span></p><br></li></ul><br><ul><li><p><span><span>Architecture Decision Records (ADRs)</span></span></p><br></li></ul><br><ul><li><p><span><span>High-level solution and integration diagrams</span></span></p><br></li></ul><br><ul><li><p><span><span>Capability and non-functional architecture documentation</span></span></p><br></li></ul><br><ul><li><p><span><span>Governance frameworks and architecture standards</span></span></p><br></li></ul><br><ul><li><p><span><span>Executive architecture communications and strategy presentations</span></span></p><br></li></ul><br><p><b><span>What We're Looking For</span></b></p><br><br><p><b><span>Required Experience</span></b></p><br><br><ul><li><p><span><span>12+ years of experience designing large-scale enterprise software platforms.</span></span></p><br></li></ul><br><ul><li><p><span><span>Strong software architecture expertise covering distributed systems, cloud-native architectures, event-driven systems, integration platforms, scalability, resilience, and security.</span></span></p><br></li></ul><br><ul><li><p><span><span>Proven experience leading architecture across multiple teams and products.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience influencing strategic technology decisions without direct authority.</span></span></p><br></li></ul><br><ul><li><p><span><span>Strong understanding of software delivery within agile organizations.</span></span></p><br></li></ul><br><ul><li><p><span><span>Demonstrated ability to mentor senior engineers and architects.</span></span></p><br></li></ul><br><p><b><span>Domain Expertise</span></b></p><br><br><p><span><span>We are particularly interested in candidates with experience in one or more of the following areas:</span></span></p><br><br><ul><li><p><span><span>Capital Markets</span></span></p><br></li></ul><br><ul><li><p><span><span>Securities Finance</span></span></p><br></li></ul><br><ul><li><p><span><span>Collateral Management</span></span></p><br></li></ul><br><br><ul><li><p><span><span>Post-Trade Processing</span></span></p><br></li></ul><br><ul><li><p><span><span>Settlement & Clearing</span></span></p><br></li></ul><br><ul><li><p><span><span>Reconciliation Platforms</span></span></p><br></li></ul><br><ul><li><p><span><span>Operations and Back Office Systems</span></span></p><br></li></ul><br><ul><li><p><span><span>Risk, Regulatory and Financial Market Infrastructure solutions</span></span></p><br></li></ul><br><p><b><span>Leadership Characteristics</span></b></p><br><br><p><span><span>You are:</span></span></p><br><br><ul><li><p><span><span>A strategic thinker capable of defining long-term architectural vision.</span></span></p><br></li></ul><br><ul><li><p><span><span>Comfortable making complex trade-offs involving business value, delivery cost, scalability, and risk.</span></span></p><br></li></ul><br><ul><li><p><span><span>Able to influence senior stakeholders across product, engineering, and business functions.</span></span></p><br></li></ul><br><ul><li><p><span><span>Passionate about architecture excellence, technical mentoring, and organizational transformation.</span></span></p><br></li></ul><br><ul><li><p><span><span>Equally comfortable discussing details with developers and strategy with executives.</span></span></p><br></li></ul><br><p><b><span>Why Join Us?</span></b></p><br><br><p><span><span>This role offers a unique opportunity to:</span></span></p><br><br><ul><li><p><span><span>Shape the future architecture of one of the industry's leading capital markets platforms.</span></span></p><br></li></ul><br><ul><li><p><span><span>Drive business and technology strategy for mission-critical post-trade functions.</span></span></p><br></li></ul><br><ul><li><p><span><span>Work with highly experienced architects, engineers, and domain experts.</span></span></p><br></li></ul><br><ul><li><p><span><span>Influence platform-wide architectural decisions with long-term impact.</span></span></p><br></li></ul><br><ul><li><p><span><span>Operate at the intersection of business innovation, software engineering, and enterprise architecture.</span></span></p><br></li></ul><br><p><span><span>If you are passionate about building the future of financial technology and want to drive architecture at scale, we'd love to hear from you.</span></span></p><br><br><br><br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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 & 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>
<p>Trigyn has a contractual opportunity as a Cloud Solutions Architect. This resource will be working at the client site in Lebanon.<br><br><strong>Job Description:</strong><br><br><strong>Application Audit & Workload Assessment</strong>:<br>Work closely with the development team to audit existing on-premises hosted applications running on Proxmox virtual machines and gather technical deployment requirements.<br>Analyze resource utilization metrics, compute demands, memory allocations, and architectural dependencies of on-premises VMs to establish baseline performance metrics.<br><br><strong>Cloud Architecture Design & Migration Strategy:</strong><br>Design tailored Azure cloud architecture topologies and migration runbooks for existing application workloads.<br>Evaluate and recommend whether individual applications should be migrated as Infrastructure-as-a-Service (IaaS) virtual machines or refactored into cloud-native Azure PaaS services (such as Azure App Services, Azure SQL, or container instances).<br>Formulate step-by-step migration technical blueprints and sequence plans for the internal infrastructure and development teams to execute during provisioning.<br><br><strong>Cost Optimization & Resource Sizing:</strong><br>Conduct cost-benefit analyses comparing the current on-premises footprint against Azure pricing tiers and reserved instances to ensure maximum cost-efficiency.<br>Provide recommendations for right-sizing Azure virtual machines, storage accounts, and database services to avoid over-provisioning while maintaining target performance levels.<br><br><strong>Technical Guidance & Advisory:</strong><br>Provide technical guidance to internal development and infrastructure teams regarding optimal Azure deployment pathways, identity management mappings (Azure AD / Entra ID), and access controls.<br>Recommend operational best practices, security baselines, and performance monitoring strategies (Azure Monitor / Log Analytics) to be configured by the internal team.<br><br><strong>Qualifications</strong><br>• A university degree in Computer Science, Computer Engineering, Information Technology, Cloud Architecture, Systems Engineering, or related technical fields is required.<br>• A minimum of 3 years of professional experience in cloud systems architecture, IT infrastructure analysis, or enterprise cloud solutions design is required.<br>• Demonstrated experience in designing, evaluating, or auditing cloud infrastructure solutions on Microsoft Azure is required.<br>• Proven experience collaborating directly with software development teams to extract application performance requirements, analyze resource consumption, and translate workload metrics into optimized cloud specifications is required.<br>• Strong familiarity with cloud cost-optimization strategies, resource right-sizing, and evaluating IaaS vs. PaaS deployment models on Azure is required.<br>• Practical experience designing or planning workload migration strategies from on-premises hypervisors (specifically Proxmox VE or VMware) to Microsoft Azure is highly desirable.<br>• Official Microsoft Azure certifications (e.g., Azure Solutions Architect Expert or Azure Administrator Associate) are highly desirable.</p>
<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 & 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 & 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 & 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 & 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 & 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 & Data Democratization: Strong experience leveraging BI tools such as Amazon QuickSight to enable self-service analytics across business functions.<br></li><li>Production Reliability & 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>The IC will provide specialized technical expertise and architectural guidance for transitioning on-premises applications to Microsoft Azure. The IC will work in close coordination with the internal development and infrastructure teams to audit existing application workloads, evaluate current Proxmox VM resource metrics, and analyze performance requirements. Based on this assessment, the consultant will design tailored cloud architecture blueprints, formulate step-by-step system migration strategies, and recommend the most cost-effective Azure resource allocations to achieve optimal performance. The IC will deliver actionable solution designs and technical specifications for the internal teams to execute during provisioning and deployment.</p><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications/special skills</h2>
<p>A bachelor's degree in Computer Science, Computer Engineering, Information Technology, Cloud Architecture, Systems Engineering, or related technical fields is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed.</p>
<p>A minimum of 4 years of professional experience in cloud systems architecture, IT infrastructure analysis, or enterprise cloud solutions design is required.</p>
<p>Demonstrated experience in designing, evaluating, or auditing cloud infrastructure solutions on Microsoft Azure is required.</p>
<p>Proven experience collaborating directly with software development teams to extract application performance requirements, analyze resource consumption, and translate workload metrics into optimized cloud specifications is required.</p>
<p>Strong familiarity with cloud cost-optimization strategies, resource right-sizing, and evaluating IaaS vs. PaaS deployment models on Azure is required.</p>
<p>Practical experience designing or planning workload migration strategies from on-premises hypervisors (specifically Proxmox VE or VMware) to Microsoft Azure is highly desirable.</p>
<p>Official Microsoft Azure certifications (e.g., Azure Solutions Architect Expert or Azure Administrator Associate) are highly desirable.</p>
<p>Excellent analytical, architectural, and communication skills are required.</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>
<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 & 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 & 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 & 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, & 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>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>
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>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>
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<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 & 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 & 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>
<h2 class="h5">Job description</h2>
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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>The Key Responsibilities are: Design, develop, test, and maintain backend applications using Java and Spring Boot. Translate business and technical requirements into scalable software solutions. Participate throughout the software development lifecycle, including analysis, design, implementation, testing, deployment, and production support. Design and integrate REST APIs and microservices. Troubleshoot production issues, identify root causes, and implement sustainable solutions. Write clean, maintainable, and well-tested code following engineering best practices. Perform code reviews and provide technical guidance to other team members. Contribute to system design, architecture, and technical decision-making. Improve application performance, reliability, security, and maintainability. Create and maintain technical documentation in Confluence. Collaborate with product owners, QA engineers, and other technical teams in an Agile environment. Participate in Scrum ceremonies and technical discussions.</p><p><strong>Desired Candidate Profile</strong></p><p>Bacheloru2019s degree in Computer Science, Computer Engineering, Software Engineering, or a related field. Minimum 5u20136 years of professional software development experience, primarily using Java. Strong experience with Java, Spring Boot, and the Spring ecosystem. Solid understanding of object-oriented programming, design principles, and common design patterns. Experience designing and developing REST APIs and microservices. Good experience with Maven and Git-based development workflows. Strong knowledge of relational databases, SQL, and data-access technologies such as JPA/Hibernate. Experience writing unit and integration tests using tools such as JUnit and Mockito. Familiarity with CI/CD pipelines and modern software delivery practices. Strong debugging, problem-solving, and root-cause analysis skills. Experience with Agile software development practices. Ability to independently own technical tasks and guide less-experienced engineers. Excellent verbal and written English communication skills. Availability to work during the core working hours of 12:00 PM to 9:00 PM Lebanon time .</p><p>Preferred Qualifications Experience with AWS services and cloud-based application development. Working knowledge of Python. Experience with event-driven systems, messaging technologies, or distributed systems. Familiarity with Docker and containerized applications. Experience with application monitoring, logging, and performance optimization. Basic front-end experience with React is a plus but not required.</p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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>
<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>
<p>Role Overview Help building, operating, and continuously improving the platforms and infrastructure that support our customers and consulting engagements on AWS. You will work closely with engineering teams to improve software delivery, infrastructure reliability, security, observability, scalability, and developer experience. The role combines AWS cloud infrastructure, Infrastructure as Code, CI/CD, container orchestration, automation, monitoring, and operational excellence. We are looking for someone who is comfortable taking ownership, solving problems systematically, automating repetitive work, and collaborating across engineering teams. Tasks & Responsibilities Design, build, operate, and continuously improve infrastructure and platform services on AWS. Develop and maintain Infrastructure as Code to ensure consistent, repeatable, and auditable infrastructure provisioning. Build and improve CI/CD pipelines to enable reliable, secure, and efficient software delivery. Deploy and operate containerized applications using container orchestration platforms, primarily Amazon ECS. Build and maintain container-based deployment workflows using technologies such as Docker and Amazon ECR. Automate infrastructure provisioning, application deployments, configuration, and operational processes. Implement and maintain monitoring, logging, alerting, and observability solutions. Improve platform reliability, availability, scalability, performance, and resilience. Support engineering teams in deploying, operating, and troubleshooting applications running on AWS. Participate in incident response, root cause analysis, and continuous improvement activities. Identify operational risks, bottlenecks, and repetitive manual processes and propose improvements. Apply security best practices across AWS infrastructure, containerized workloads, CI/CD pipelines, secrets, access control, networking, and platform services. Contribute to AWS cost visibility, resource optimization, and cloud efficiency. Maintain clear technical documentation, operational procedures, runbooks, and architecture documentation. Collaborate with software engineers, architects, security teams, and other stakeholders to improve engineering standards and practices. Evaluate tools and technologies based on reliability, maintainability, security, scalability, operational complexity, and business value. Competencies Strong understanding of AWS cloud infrastructure and modern infrastructure engineering practices. Hands-on experience designing, deploying, or operating workloads on AWS. Experience with container technologies and container orchestration platforms, particularly Amazon ECS. Experience with Docker and containerized application delivery. Understanding of core AWS services and concepts including compute, networking, storage, identity and access management, security, monitoring, and highly available architectures. Experience with Infrastructure as Code tools such as Terraform, AWS CloudFormation, AWS CDK, or similar approaches. Understanding of CI/CD concepts and experience building or maintaining automated software delivery pipelines. Experience with scripting or programming for automation using languages such as Python, Bash, Go, or similar. Strong understanding of Linux systems, networking, DNS, load balancing, TLS, and common infrastructure concepts. Experience with monitoring, logging, metrics, alerting, and observability practices. Understanding of security principles including AWS IAM, secrets management, access control, vulnerability management, and secure infrastructure configuration. Ability to troubleshoot technical and operational problems across applications, infrastructure, networking, containers, and AWS services. Strong ownership mindset and ability to work collaboratively with engineering teams. Ability to communicate technical concepts clearly and document systems and processes effectively. Tools & Certifications Experience with Amazon ECS and AWS-native container platforms. Familiarity with Kubernetes or Amazon EKS. Experience with GitOps practices and modern deployment automation. Experience with reliability engineering, SRE practices, SLIs, SLOs, and incident management. Experience with AWS cost management, optimization, and FinOps practices. Familiarity with AWS security services, governance controls, and security best practices. Experience building internal developer platforms or improving developer experience. Familiarity with databases, messaging platforms, caching systems, and distributed-system components. Knowledge of AWS Well-Architected principles and cloud architecture best practices.</p><p><strong>Desired Candidate Profile</strong></p><p>Previous experience in a similar role Bachelor's degree in Computer Science or related field Fluent in speaking & writing, Arabic & English</p>