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<p>Excellent written and verbal English communication skills; able to engage with technical partners and internal teams across time zones with clarity and professionalism Strong commercial experience building and maintaining third-party integrations using REST APIs, webhooks, and event-driven patterns Solid Node.js and TypeScript development experience, with the ability to build production-quality backend services and integrations independently Ability to read, understand, and work within a .NET / C# codebase; you do not need to be a .NET specialist, but you cannot be blocked by one Working knowledge of SQL and relational databases; comfortable writing and reviewing queries, understanding data access patterns, and reasoning about integration data flows Demonstrated experience using Claude Code or equivalent agentic AI tooling as a core part of your engineering workflow; able to take a loosely defined capability, structure it into a delivery plan using AI, and drive it through to production-quality output with appropriate verification at each stage Strong engineering judgement when working with AI-generated code; you know what to trust, what to verify, and what to rewrite, particularly at API boundaries and in integration-critical paths. Highly desirable Hands-on experience with AWS Lambda and serverless architectures, including event-driven patterns and infrastructure-as-code tooling such as Terraform Experience integrating with POS systems, payment processors, or hospitality platforms in a commercial environment Familiarity with AI agent orchestration, prompt engineering for code generation tasks, and context management in multi-step agentic workflows</p><p><strong>Desired Candidate Profile</strong></p><p>Our tech stack: TypeScript, MobX, Hasura, PostgreSQL, Python, Apollo, GraphQL, SQL, Flask, Redis, RQ, JavaScript, React, Vim, VSCode, HTML, CSS and AWS. Our flagship product uses image recognition to identify elements in construction PDFs, built with Python (numpy), Postgres and React. For newer real-time collaborative features, Hasura gives us a GraphQL subscription layer over Postgres, which is transformed into MobX objects on the frontend.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b><span>Our Opportunity</span></b> <br><br>As a Software Quality Assurance Engineer, you will collaborate closely with the development and product teams to ensure delivery of reliable, efficient, and user-friendly software solutions that meet client needs. You will be responsible for designing and executing test strategies, identifying and resolving defects, and contributing to the continuous improvement of our applications and QA processes. This role offers the opportunity to have a direct impact on product quality and user experience while working in a dynamic, collaborative environment.<br><br><b><span>You Will</span></b><br><br></span><ul><li><span>Work closely with developers, product managers, and designers to ensure software quality throughout the development lifecycle. <br></span></li><li><span>Participate in requirement reviews, sprint planning, and daily stand-ups to ensure clear understanding of acceptance criteria.<br></span></li><li><span>Identify, document, and track software defects, verifying fixes and ensuring timely resolution.<br></span></li><li><span>Contribute to the development of new features and product enhancements through active testing and feedback.<br></span></li><li><span>Design, develop, and execute manual and automated end-to-end test scripts using Playwright.<br></span></li><li><span>Leverage GitHub Copilot in agent mode alongside the Playwright MCP server to efficiently generate end-to-end tests.<br></span></li><li><span>Use GitHub Copilot in agent mode to assist in creating, maintaining, and executing performance test plans using Locust to evaluate system performance, scalability, and stability under load.<br></span></li><li><span>Integrate automated tests into the CI/CD pipeline using GitHub Actions to ensure consistent and reliable test execution across builds and deployments.<br></span></li><li><span>Communicate effectively with team members and stakeholders to align on priorities and deliverables.<br></span></li><li><span>Maintain and enhance QA documentation, processes, and testing frameworks.<br></span></li><li><span>Support regression and release testing to ensure smooth deployments.<br></span></li><li><span>Stay up to date with QA tools, automation frameworks, AI tools, and testing best practices.<br></span></li></ul><br><span>Requirements<span><b>To Be Successful in The Role You Will Need</b></span> <br><br></span><ul><li><span>Bachelor's or master's degree in computer science, engineering, or a related field. <br></span></li><li><span>3+ years of experience in software quality assurance or software testing<br></span></li><li><span>Strong understanding of QA methodologies, test design techniques, and SDLC processes.<br></span></li><li><span>Hands-on experience with test management and defect tracking tools (e.g., Jira).<br></span></li><li><span>Good programming or scripting skills (e.g., Python, Java, or JavaScript).<br></span></li><li><span>Familiarity with automation tools or frameworks (e.g., Playwright, Cypress, or Selenium).<br></span></li><li><span>Familiarity with performance testing tools (e.g., Locust, or JMeter).<br></span></li><li><span>Familiarity with CI/CD pipelines (preferably GitHub Actions).<br></span></li><li><span>Familiarity with AI tools to streamline test script generation and enhance overall testing efficiency.<br></span></li><li><span>Knowledge of databases such as MySQL, or PostgreSQL.<br></span></li><li><span>Excellent analytical and problem-solving skills with strong attention to detail.<br></span></li><li><span>Strong communication and collaboration skills.<br></span></li><li><span>Ability to thrive in a fast-paced, team-oriented environment.<br></span></li></ul><p>Siren is an equal opportunity employer. At Siren we value ethics, dedication, sustainability, safeguarding, respect and inclusion.<br></p><br><p>Are you interested in working with our dedicated team on impactful projects? We welcome applications from all qualified candidates, regardless of background. Do apply!<br></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Namou Properties Namou Properties is a growing real estate company focused on improving operational efficiency and building data-driven systems to support business growth.<br> About the Role We are looking for a remote Full Stack Developer to join the team building our internal ERP platform.<br> You will design and implement secure, well-structured backend services and build responsive, user-friendly frontend interfaces.<br> You will work closely with the product team to translate business requirements into reliable, maintainable features.<br> Responsibilities Design, build, and maintain secure and performant backend services and RESTful APIs Develop responsive, accessible frontend interfaces that work well across devices and browsers Design database schemas and write efficient, optimized SQL queries Implement and maintain authentication and authorization flows, including role-based access control (RBAC) Debug issues down to their root cause and deliver clean, maintainable, well-documented code Participate in code reviews, giving and receiving constructive feedback Write and maintain basic tests to ensure code reliability Collaborate closely with the product team to clarify, refine, and deliver on business requirements Work within sprint cycles, estimating tasks and adapting to shifting priorities Why Join Namou Properties Be part of a growing real estate company focused on innovation and investment opportunities Competitive compensation package Performance-based incentives Opportunity to design and implement systems that directly impact business operations 1–3 years of professional experience in full-stack development Strong proficiency in JavaScript and TypeScript Hands-on experience with Node.<br>js and backend frameworks such as Fastify, Express, or NestJS Solid understanding of RESTful API design, implementation, security, and performance Proficiency in React and frontend fundamentals: HTML, CSS, responsive design, and cross-browser compatibility Solid understanding of relational databases, particularly PostgreSQL, schema design, writing efficient queries, and query optimization Familiarity with authentication concepts (JWT, session management) and RBAC Familiarity with real-time communication (WebSockets / Socket.<br>io) Good understanding of the software development lifecycle (SDLC) Proficiency with Git and version control workflows Basic testing skills (unit and/or integration testing) Strong debugging and problem-solving skills, with a focus on root-cause analysis Good communication skills and a collaborative, product-minded approach Nice to Have Experience with ERP, CRM, or other enterprise business systems Experience integrating with third-party systems (webhooks, external APIs) Familiarity with CI/CD pipelines or deployment processes</span> </div>

<p><b>Description</b></p><p>Aspire Software is looking for a DevOps Engineer to join our team in Lebanon.</p><p><br></p><p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p><br></p><p><b>About the Role</b></p><p><br></p><p>The DevOps Engineer – Azure owns the infrastructure-as-code and CI/CD foundation for our SaaS platform. This is a hands on role focused on defining, deploying, and evolving our Azure environment through code and GitHub Actions, across multi-region production in Canada and the United States as well as our development, QA, and staging environments.</p><p><br></p><p>You will work closely with Developers, QA, and Product to make infrastructure changes safe, repeatable, and fast. You will own the Infrastructure-as-Code codebase and deployment workflows, keep environments consistent, and handle occasional database tasks as they come up. Priority will be given to AI-enabled DevOps engineers who leverage agentic workflows in their day-to-day work.</p><p><br></p><p>What “good” looks like in this role: infrastructure changes go through pull requests, plan / whatif reviews, and GitHub Actions, not the portal; environments are reproducible and consistent across regions; deployments are repeatable, observable, and easy to roll back; configuration drift is caught and corrected before it causes an incident.</p><p><br></p><p>Infrastructure You Will Manage</p><p><br></p><p>This role is responsible for the Azure infrastructure that runs the Bids &amp; Tenders platform, including:</p><p><br></p><p>Application Hosting &amp; Compute</p><p><br></p><p>Azure App Service (web apps, App Service plans, and WebJobs) hosting the buyer, supplier, and partner-facing tiers.</p><p>Azure Functions and Logic Apps for event-driven, scheduled, and integration workloads.</p><p>Azure Kubernetes Service (AKS) clusters, with images built and stored in Azure Container Registry.</p><p>Azure Virtual Machines for supporting services such as Elasticsearch, email relay, and network security appliances.</p><p>Edge, Networking &amp; Security</p><p><br></p><p>Azure Front Door with Web Application Firewall (WAF) policies, and public DNS zones for the domains.</p><p>Virtual Networks, Network Security Groups, Private Endpoints, Private DNS zones, DNS Private Resolver, load balancers, NAT Gateway, and Azure Bastion.</p><p>Azure Key Vault (secrets and TLS certificates) and user-assigned managed identities.</p><p>Data, Caching &amp; Messaging</p><p><br></p><p>Azure SQL (including disaster-recovery replicas in paired regions) and Azure Database for PostgreSQL Flexible Server.</p><p>Azure Cache for Redis / Redis Enterprise and Azure Storage accounts.</p><p>Azure Service Bus, Event Grid, and Azure API Management.</p><p>Operations &amp; Observability</p><p><br></p><p>Azure Monitor and Azure Managed Grafana, Azure Automation, and Recovery Services vaults.</p><p>GitHub-hosted runners connected to Azure private networking for CI/CD.</p><p>Key Accountabilities &amp; Responsibilities</p><p><br></p><p>Infrastructure-as-Code (Azure)</p><p><br></p><p>Own the Infrastructure-as-Code codebase for the Azure environment; manual portal changes should be rare and quickly codified.</p><p>Bring existing manually created resources under code management, and detect and resolve configuration drift.</p><p>Build reusable modules and enforce consistent standards for naming, tagging, and resource group structure across regions and environments.</p><p>Apply secure defaults and policy-as-code (Azure Policy, RBAC) so new infrastructure is compliant from the start.</p><p>GitHub Actions &amp; CI/CD</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree or diploma in Computer Science, Software Engineering, Information Technology, or a related field. Equivalent combination of education and relevant experience will be considered. 3+ years in a DevOps, platform, or cloud infrastructure role, with a primary focus on Microsoft Azure. Strong hands-on Infrastructure-as-Code experience in production Azure environments including reusable modules, deployment / state management, and drift remediation. Hands-on experience building and maintaining GitHub Actions workflows, including reusable workflows, environments and approvals, and OIDC authentication to Azure. Production experience with Azure App Service, Azure Functions, and AKS. Solid understanding of Azure networking and security fundamentals. Scripting proficiency in PowerShell and Bash, along with Azure CLI. Demonstrated use of AI-assisted tooling or agentic workflows in day-to-day engineering work. Azure &amp; Platform Experience with Virtual Networks, Network Security Groups, Private Endpoints, Private DNS, Microsoft Entra ID, RBAC, managed identities, and Key Vault. Experience with Azure Front Door, WAF, DNS management, and TLS certificate lifecycle. Experience with containers and Kubernetes: Docker, Helm, Azure Container Registry, and AKS upgrades. Familiarity with Azure Service Bus, Event Grid, Logic Apps, and API Management. Observability experience with Azure Monitor, Log Analytics (KQL), and Grafana. Working knowledge of Azure SQL and PostgreSQL (backups, geo-replication, basic performance tuning) sufficient for occasional database tasks as well as experience with Elastic Search.</p>

<p> <br> </p> <p><b> About the Role </b></p> <p>Are you passionate about building scalable backend systems while owning the cloud infrastructure that powers them? As a Senior Backend Engineer (Platform &amp; DevOps) at Toters, you'll split your time between designing and developing production-grade backend services and improving the cloud platform, deployment pipelines, and operational excellence that enable our engineering teams to deliver software safely and efficiently. </p> <p>In this role, you'll own services end-to-end from application design and implementation to deployment, monitoring, scalability, security, and production reliability. Working closely with Software Engineers, Product Managers, and Infrastructure teams, you'll help build resilient systems that power our products while continuously improving the developer experience. </p> <p> In this role, you will: </p> <p> <br> </p> <p><b> Backend Engineering </b></p> <ul> <li>Collaborate with cross-functional teams to translate business requirements into scalable backend solutions.</li> <li>Design, develop, test, and maintain high-performance backend services using PHP (Laravel).</li> <li>Design and build RESTful APIs and microservices that power customer-facing and internal applications.</li> <li>Write clean, maintainable, and well-tested code following engineering best practices.</li> <li>Optimize application performance, database queries, caching strategies, and system scalability.</li> <li>Participate in architecture discussions and contribute to technical decisions that improve long-term maintainability.</li> <li>Conduct thoughtful code reviews and mentor engineers through technical guidance and best practices.</li> </ul> <p> Platform &amp; DevOps </p> <ul> <li>Design, build, and maintain cloud infrastructure on AWS to support highly available and scalable applications.</li> <li>Build and improve CI/CD pipelines that enable fast, reliable, and secure software delivery.</li> <li>Manage containerized applications using Docker and Kubernetes.</li> <li>Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform or similar tools).</li> <li>Improve system observability through monitoring, logging, alerting, and performance dashboards.</li> <li>Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency.</li> <li>Participate in production incident response, troubleshooting, root cause analysis, and post-incident reviews.</li> <li>Implement security best practices for applications, infrastructure, secrets management, and access control.</li> <li>Continuously improve deployment processes, operational tooling, and developer experience across engineering teams.</li> </ul> <p> <br> </p> <p><b> Nice to Have </b></p> <ul> <li>Experience with Go, Python, or additional backend programming languages. </li> <li>Experience with messaging and streaming technologies such as Kafka, RabbitMQ, or AWS SQS/SNS. </li> <li>Experience deploying serverless applications using AWS Lambda.</li> <li>Experience with Helm, ArgoCD, or GitOps workflows.</li> <li>Experience building Internal Developer Platforms (IDPs) or improving developer tooling.</li> <li>Experience with service mesh technologies such as Istio or Linkerd.</li> <li>Experience working in high-growth technology companies, e-commerce, or on-demand delivery platforms.</li> <li>AWS certifications are a plus.</li> </ul> <p> <br> </p> <p><b> Why Toters? </b></p> <ul> <li>Flexible work environment with hybrid-friendly roles.</li> <li>Opportunity to work across software engineering and cloud infrastructure, building systems that directly power Toters' products.</li> <li>Solve complex engineering challenges involving backend architecture, cloud infrastructure, automation, and distributed systems.</li> <li>Collaborate with talented engineers in a culture of ownership, mentorship, 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><p><strong>Desired Candidate Profile</strong></p><ul> <li>Bachelor s degree in Computer Science, Engineering, or a related field.</li> <li>6+ years of experience in backend software engineering, with significant hands-on experience in cloud infrastructure and DevOps practices.</li> <li>Strong experience developing backend applications using PHP (Laravel). </li> <li>Solid understanding of Object-Oriented Programming (OOP), SOLID principles, design patterns, and software architecture.</li> <li>Experience designing and building RESTful APIs, distributed systems, and microservices.</li> <li>Strong experience with relational databases such as PostgreSQL or MySQL, along with caching technologies such as Redis. </li> <li>Strong hands-on experience with AWS, including services such as EC2, ECS, Lambda, RDS, S3, IAM, CloudWatch, VPC, and SQS. </li> <li>Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools.</li> <li>Experience working with Docker and Kubernetes in production environments. </li> <li>Experience using Infrastructure as Code tools such as Terraform or CloudFormation. </li> <li>Strong understanding of Linux systems, networking fundamentals, and cloud security best practices.</li> <li>Experience implementing monitoring, logging, and observability solutions using tools such as CloudWatch, Grafana, Prometheus, or the ELK stack.</li> <li>Experience owning production systems, participating in on-call rotations, and resolving production incidents.</li> <li>Strong communication skills with the ability to collaborate across teams and mentor engineers.</li> <li>Passion for building scalable, secure, and reliable systems while continuously improving engineering excellence.</li> </ul>

<p><h4>About Namou Properties</h4> <p>Namou Properties is a growing real estate company focused on improving operational efficiency and building data-driven systems to support business growth.</p> <h4>About the Role</h4> <p>We are looking for a remote Full Stack Developer to join the team building our internal ERP platform.</p> <p>You will design and implement secure, well-structured backend services and build responsive, user-friendly frontend interfaces. You will work closely with the product team to translate business requirements into reliable, maintainable features.</p> <h4>Responsibilities</h4> <ul> <li>Design, build, and maintain secure and performant backend services and RESTful APIs</li> <li>Develop responsive, accessible frontend interfaces that work well across devices and browsers</li> <li>Design database schemas and write efficient, optimized SQL queries</li> <li>Implement and maintain authentication and authorization flows, including role-based access control (RBAC)</li> <li>Debug issues down to their root cause and deliver clean, maintainable, well-documented code</li> <li>Participate in code reviews, giving and receiving constructive feedback</li> <li>Write and maintain basic tests to ensure code reliability</li> <li>Collaborate closely with the product team to clarify, refine, and deliver on business requirements</li> <li>Work within sprint cycles, estimating tasks and adapting to shifting priorities</li> </ul> <h4>Requirements</h4> <ul> <li>1-3 years of professional experience in full-stack development</li> <li>Strong proficiency in JavaScript and TypeScript</li> <li>Hands-on experience with Node.js and backend frameworks such as Fastify, Express, or NestJS</li> <li>Solid understanding of RESTful API design, implementation, security, and performance</li> <li>Proficiency in React and frontend fundamentals: HTML, CSS, responsive design, and cross-browser compatibility</li> <li>Solid understanding of relational databases, particularly PostgreSQL, schema design, writing efficient queries, and query optimization</li> <li>Familiarity with authentication concepts (JWT, session management) and RBAC</li> <li>Familiarity with real-time communication (WebSockets / Socket.io)</li> <li>Good understanding of the software development lifecycle (SDLC)</li> <li>Proficiency with Git and version control workflows</li> <li>Basic testing skills (unit and/or integration testing)</li> <li>Strong debugging and problem-solving skills, with a focus on root-cause analysis</li> <li>Good communication skills and a collaborative, product-minded approach</li> </ul> <h4>Nice to Have</h4> <ul> <li>Experience with ERP, CRM, or other enterprise business systems</li> <li>Experience integrating with third-party systems (webhooks, external APIs)</li> <li>Familiarity with CI/CD pipelines or deployment processes</li> </ul> <h4>Benefits</h4> <h4>Why Join Namou Properties</h4> <ul> <li>Be part of a growing real estate company focused on innovation and investment opportunities</li> <li>Competitive compensation package</li> <li>Performance-based incentives</li> <li>Opportunity to design and implement systems that directly impact business operations</li> </ul></p><p></p>

<p><b>About the job: </b></p> <p>We're looking for an AI Developer to join Klopotek's engineering team from our Beirut office. You will work remotely alongside our development team in Gioia del Colle, Italy designing, building and running AI-powered capabilities inside the software that runs the publishing operations of major global publishers.</p> <p>This is a hands-on engineering role, not a research position. You will integrate large language models into production systems: retrieval over our product knowledge, AI assistants for support and operations, agentic workflows that act on real business data, and AI features inside our products. Our core platform is built on Java and Oracle, so you will work close to that stack connecting AI services to existing APIs, data and business logic, and making them reliable, secure and measurable.</p> <p>You will be joining a small but growing Klopotek team in Lebanon four colleagues are already working with us from Beirut, and this role is part of a deliberate expansion of our engineering presence there. You'll have a genuine peer group locally, and work closely with the Italian development team day to day.</p> <p>This is not a role that rewards knowing the right buzzwords. It is a role for someone who is selfdriven, technically grounded and genuinely excited about learning someone who can tell a convincing prototype from a dependable product, and who takes ownership from idea through to production.</p> <p> </p> <p><b>What You'll Do</b></p> <ul> <li>Design, build and run LLM-powered features and services from first prototype to monitored production</li> <li>Build retrieval-augmented generation (RAG) pipelines over product documentation, configuration knowledge and support history: ingestion, chunking, embeddings, search and ranking</li> <li>Develop agentic workflows and tool integrations (e.g. via the Model Context Protocol) that let AI work safely with our APIs, ticketing systems and business data</li> <li>Integrate AI services with our Java backend services, REST APIs and Oracle databases</li> <li>Build evaluation suites and test sets so we know with numbers whether a change makes an AI feature better or worse</li> </ul> <ul> <li>Engineer prompts, context and guardrails; handle hallucination, data privacy, access control and cost from the start, not as an afterthought</li> <li>Monitor AI features in production: quality, latency, token cost and failure modes and improve them continuously</li> <li>Work with support, product and operations colleagues to turn real use cases into tools people actually use</li> <li>Collaborate asynchronously and synchronously with the Italian development team and crossfunctional stakeholders</li> <li>Participate in code reviews give and receive honest, constructive feedback</li> <li>Share what you learn: help other developers adopt AI-assisted development and write documentation the next person can actually use</li> <li>Use AI coding tools actively and critically in your own work while taking full ownership of what ships</li> </ul> <p>How You Work</p> <p>We're hiring for mindset as much as skills. The right person for this role:</p> <ul> <li>Is genuinely curious and self-driven you follow the field because you want to, and you can separate real progress from hype</li> <li>Is sceptical by default you measure before you believe, and you know a good demo is not proof</li> <li>Thinks in systems you consider how models, data, APIs and people interact, where things break, and how to design for resilience, not just the happy path</li> <li>Solves problems even when the path isn't obvious you investigate, experiment, and iterate</li> <li>Thinks about the user you build AI features that fit how people actually work, not features that show off the technology</li> <li>Communicates clearly and proactively in a distributed team you don't wait to be chased, you flag blockers early and keep colleagues informed</li> <li>Challenges ideas constructively and is comfortable being challenged in returnTakes ownership of features end-to-end, not just your assigned ticket</li> <li>Is comfortable with ambiguity and fast-changing tools and requirements</li> <li> </li> </ul><ul> <li> Proven experience building and shipping LLM-based applications to real users not only experiments or tutorials</li> <li>Hands-on experience with LLM APIs (e.g. Anthropic Claude, OpenAI, Azure OpenAI) including tool use / function calling and structured outputs</li> <li>Practical RAG experience: embeddings, vector or hybrid search, chunking strategies, and judging retrieval quality</li> <li>Solid software engineering in Python and/or Java clean, tested, maintainable code; comfortable working in an existing Java backend</li> <li>API and integration skills: REST, JSON, authentication, and connecting services to existing business systems</li> <li>Relational database fluency strong SQL; Oracle experience preferred, PostgreSQL or MySQLaccepted</li> <li>A habit of evaluating AI output systematically test sets, metrics, regression checks rather than by impression</li> <li>Strong problem-solving skills and the ability to work independently and collaboratively</li> <li>Experience with Agile methodologies and fast-paced delivery cycles</li> <li>Professional-level English, written and verbal your primary working language with the Italian team</li> </ul> <p> </p> <p>Nice to Have</p> <ul> <li>Agent frameworks and protocols (Model Context Protocol, LangChain/LangGraph, LlamaIndex, Spring AI or similar)</li> <li>Experience with vector databases or search engines (pgvector, Oracle AI Vector Search, Elasticsearch/OpenSearch, Azure AI Search)</li> <li>LLM observability and evaluation tooling (e.g. Langfuse, LangSmith, promptfoo or your own)</li> <li>Java with Spring Boot or JAX-RS, JPA/Hibernate</li> <li>Containerisation and deployment (Docker, Kubernetes) and CI/CD pipelines (Jenkins, GitHub Actions or equivalent)</li> <li>Cloud experience, especially Azure (also AWS)</li> <li>Security for AI systems: prompt injection, data leakage, access control, GDPR</li> <li>Familiarity with Keycloak, OpenID Connect, OAuth 2 or JWT</li> <li>Frontend basics (TypeScript, Angular) to build simple user interfaces for AI features</li> <li>Domain experience in publishing, rights &amp; royalties, or enterprise support and service management</li> <li>You don't need to tick every box. We value the ability to learn quickly and adapt over an exact match on the tech stack.</li> </ul> <p> </p> <p>What We Value</p> <ul> <li>Learning over knowing</li> <li>Evidence over hype</li> <li>Adaptability over rigidity</li> <li>Problem-solving over box-ticking</li> <li>Ownership over task execution</li> <li>Honest, direct collaboration over hierarchy provement, and an honest feedback culture </li> </ul><p><strong>Desired Candidate Profile</strong></p><ul> <li> Proven experience building and shipping LLM-based applications to real users not only experiments or tutorials</li> <li>Hands-on experience with LLM APIs (e.g. Anthropic Claude, OpenAI, Azure OpenAI) including tool use / function calling and structured outputs</li> <li>Practical RAG experience: embeddings, vector or hybrid search, chunking strategies, and judging retrieval quality</li> <li>Solid software engineering in Python and/or Java clean, tested, maintainable code; comfortable working in an existing Java backend</li> <li>API and integration skills: REST, JSON, authentication, and connecting services to existing business systems</li> <li>Relational database fluency strong SQL; Oracle experience preferred, PostgreSQL or MySQLaccepted</li> <li>A habit of evaluating AI output systematically test sets, metrics, regression checks rather than by impression</li> <li>Strong problem-solving skills and the ability to work independently and collaboratively</li> <li>Experience with Agile methodologies and fast-paced delivery cycles</li> <li>Professional-level English, written and verbal your primary working language with the Italian team</li> </ul> <p>Nice to Have</p> <ul> <li>Agent frameworks and protocols (Model Context Protocol, LangChain/LangGraph, LlamaIndex, Spring AI or similar)</li> <li>Experience with vector databases or search engines (pgvector, Oracle AI Vector Search, Elasticsearch/OpenSearch, Azure AI Search)</li> <li>LLM observability and evaluation tooling (e.g. Langfuse, LangSmith, promptfoo or your own)</li> <li>Java with Spring Boot or JAX-RS, JPA/Hibernate</li> <li>Containerisation and deployment (Docker, Kubernetes) and CI/CD pipelines (Jenkins, GitHub Actions or equivalent)</li> <li>Cloud experience, especially Azure (also AWS)</li> <li>Security for AI systems: prompt injection, data leakage, access control, GDPR</li> <li>Familiarity with Keycloak, OpenID Connect, OAuth 2 or JWT</li> <li>Frontend basics (TypeScript, Angular) to build simple user interfaces for AI features</li> <li>Domain experience in publishing, rights &amp; royalties, or enterprise support and service management</li> <li>You don't need to tick every box. We value the ability to learn quickly and adapt over an exact match on the tech stack.</li> </ul>

<p>The ideal candidate will have a Bachelor s degree in computer science, Software Engineering, Information Technology, or a related field. Minimum 6 years of professional full-stack software development experience. Strong hands-on experience with React, Next.js, TypeScript, Node.js, and modern JavaScript frameworks. Solid experience designing and consuming RESTful APIs. Strong knowledge of PostgreSQL and relational database design. Excellent understanding of software architecture, data modeling, automated testing, debugging, and application performance optimization. Ability to analyze business requirements and proactively identify missing requirements, logical inconsistencies, and edge cases. Experience reviewing and improving AI-generated frontend and backend code. Strong problem-solving skills with excellent attention to detail. Excellent verbal and written communication skills.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s degree in computer science, Software Engineering, Information Technology, or a related field.</li><li>Minimum 6 years of professional full-stack software development experience.</li><li>Strong hands-on experience with React, Next.js, TypeScript, Node.js, and modern JavaScript frameworks.</li><li>Solid experience designing and consuming RESTful APIs.</li><li>Strong knowledge of PostgreSQL and relational database design.</li><li>Excellent understanding of software architecture, data modeling, automated testing, debugging, and application performance optimization.</li><li>Ability to analyze business requirements and proactively identify missing requirements, logical inconsistencies, and edge cases.</li><li>Experience reviewing and improving AI-generated frontend and backend code.</li><li>Strong problem-solving skills with excellent attention to detail.</li><li>Excellent verbal and written communication skills.</li></ul><h3>Preferred Qualifications</h3><ul><li>Experience within FinTech, Digital Banking, Payments, Banking-as-a-Service (BaaS), or other regulated industries.</li><li>Experience designing approval workflows, authorization systems, customer onboarding (KYC), organizational hierarchies, or permission management platforms.</li><li>Hands-on experience with React Native mobile application development.</li><li>Experience integrating third-party financial APIs including KYC/AML providers, payment gateways, or card issuing platforms.</li><li>Familiarity with enterprise security principles and modern authentication systems.</li><li>Ability to understand and work with software written in Java, Kotlin, or C# when required.</li></ul><h3>AI-Driven Engineering Experience</h3><ul><li>Daily experience using AI coding assistants such as ChatGPT, GitHub Copilot, Cursor, Claude, or similar platforms.</li><li>Strong prompt engineering skills to generate accurate and reliable AI-assisted code.</li><li>Experience reviewing, validating, and correcting AI-generated software.</li><li>The ability to distinguish between technically correct code and business-correct behavior, ensuring every feature meets user expectations and business objectives.</li></ul>

We are currently recruiting for a Full-Stack Developer to join a British company on a fully remote basis. <br> <br>The ideal candidate should have solid hands-on experience with: <br> <br>Python <br>Django <br>Django REST Framework (DRF) <br>PostgreSQL <br>Redis <br>JavaScript <br>jQuery

<p>Aspire Software is looking for a Data Scientist to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio. About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes. What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods. Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions. Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers. Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback. Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements. Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools. Tech Stack Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li><li>Strong Python and SQL skills, including experience building modular, typed, tested production software not only exploratory notebooks.</li><li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li><li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li><li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li><li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li><li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li><li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li><li>The judgment to balance model sophistication with reliability, explainability, and business value.</li><li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li><li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li><li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li><li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li><li>Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li><li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li><li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li><li>Causal inference and off-policy evaluation.</li><li>Model drift, data-quality monitoring, and experiment-tracking systems.</li><li>Multi-tenant SaaS or event-driven architectures.</li><li>Debugging distributed systems and third-party integrations in production.</li><li>LLM applications and agentic workflows.</li><li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li><li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Data Scientist to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution.<br> This is not a research-only role.<br> You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services.<br> Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.<br> What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.<br> Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.<br> Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.<br> Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.<br> Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior.<br> Trace customer-reported issues to their root cause and turn incidents into lasting improvements.<br> Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.<br> Tech Stack Python 3.<br>11, FastAPI, Pydantic, SQLAlchemy 2.<br>0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog Experience taking machine-learning systems from problem definition through production deployment and monitoring.<br> Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.<br> A solid foundation in statistics, experimentation, forecasting, and model evaluation.<br> Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.<br> Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.<br> Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.<br> Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.<br> A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.<br> The judgment to balance model sophistication with reliability, explainability, and business value.<br> Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.<br> Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.<br> A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.<br> Years of experience are a useful signal, but not the deciding factor.<br> We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.<br> Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.<br> Probabilistic demand forecasting or hierarchical Bayesian modeling.<br> Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.<br> Causal inference and off-policy evaluation.<br> Model drift, data-quality monitoring, and experiment-tracking systems.<br> Multi-tenant SaaS or event-driven architectures.<br> Debugging distributed systems and third-party integrations in production.<br> LLM applications and agentic workflows.<br> AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.<br> Hospitality experience is welcome, but not required.<br> We will help you learn the domain.<br> What We Value Speed with quality — Ship fast, but ship code and models a staff engineer would approve AI-native workflow — You don't just know about AI tools, you use them daily to write, debug, and architect Ownership — Pick up a problem and drive it to completion without hand-holding Simplicity — Elegant solutions over over-engineered ones.<br> Minimal code that does the job Curiosity — Our domain (hotel revenue optimization) has real depth.<br> You're excited to learn it</span> </div>

<p><h4>About the company</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>We are looking for a senior machine learning engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.</p> <h4>What you'll work on</h4> <ul> <li><strong>Pricing intelligence:</strong> Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li> <li><strong>Demand forecasting:</strong> Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li> <li><strong>Safe experimentation:</strong> Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li> <li><strong>Production ML:</strong> Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li> <li><strong>Problem-solving and customer investigations:</strong> Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li> <li><strong>Data and intelligent experiences:</strong> Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.</li> </ul> <h4>Tech stack</h4> <ul> <li>Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic</li> <li>PostgreSQL/Supabase and Redis</li> <li>Pandas, Polars, NumPy, and statsmodels</li> <li>OpenAI, Anthropic, LangChain, and LangGraph</li> <li>PredictHQ and multiple hotel PMS and market-data integrations</li> <li>AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch</li> <li>Docker, GitHub Actions, Prometheus, and PostHog</li> </ul> <h4>Requirements</h4> <ul> <li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li> <li>Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.</li> <li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li> <li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li> <li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li> <li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li> <li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li> <li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li> <li>The judgment to balance model sophistication with reliability, explainability, and business value.</li> <li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li> <li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li> <li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li> <li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li> </ul> <h4>Nice to have</h4> <p>You do not need everything on this list:</p> <ul> <li>Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li> <li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li> <li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li> <li>Causal inference and off-policy evaluation.</li> <li>Model drift, data-quality monitoring, and experiment-tracking systems.</li> <li>Multi-tenant SaaS or event-driven architectures.</li> <li>Debugging distributed systems and third-party integrations in production.</li> <li>LLM applications and agentic workflows.</li> <li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li> <li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li> </ul> <h4>What we value</h4> <ul> <li>Speed with quality — ship fast, but ship code and models a staff engineer would approve.</li> <li>AI-native workflow — you don't just know about AI tools, you use them daily to write, debug, and architect.</li> <li>Ownership — pick up a problem and drive it to completion without hand-holding.</li> <li>Simplicity — elegant solutions over over-engineered ones. Minimal code that does the job.</li> <li>Curiosity — our domain (hotel revenue optimization) has real depth. You're excited to learn it.</li> </ul></p><p></p>

<p>Aspire Software is looking for a Data Scientist to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.</p><p>What You'll Work On</p><ul><li>Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li><li>Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li><li>Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li><li>Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li><li>Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li><li>Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.</li></ul><p>Tech Stack</p><ul><li>Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic</li><li>PostgreSQL/Supabase and Redis</li><li>Pandas, Polars, NumPy, and statsmodels</li><li>OpenAI, Anthropic, LangChain, and LangGraph</li><li>PredictHQ and multiple hotel PMS and market-data integrations</li><li>AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch</li><li>Docker, GitHub Actions, Prometheus, and PostHog</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li><li>Strong Python and SQL skills, including experience building modular, typed, tested production software not only exploratory notebooks.</li><li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li><li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li><li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li><li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li><li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li><li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li><li>The judgment to balance model sophistication with reliability, explainability, and business value.</li><li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li><li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li><li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li><li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li></ul><p>Nice to Have</p><ul><li>You do not need everything on this list:</li><li>Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li><li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li><li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li><li>Causal inference and off-policy evaluation.</li><li>Model drift, data-quality monitoring, and experiment-tracking systems.</li><li>Multi-tenant SaaS or event-driven architectures.</li><li>Debugging distributed systems and third-party integrations in production.</li><li>LLM applications and agentic workflows.</li><li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li><li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li></ul><p>What We Value</p><ul><li>Speed with quality: Ship fast, but ship code and models a staff engineer would approve</li><li>AI-native workflow: You don't just know about AI tools, you use them daily to write, debug, and architect</li><li>Ownership: Pick up a problem and drive it to completion without hand-holding</li><li>Simplicity: Elegant solutions over over-engineered ones. Minimal code that does the job</li><li>Curiosity: Our domain (hotel revenue optimization) has real depth. You're excited to learn it</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Data Scientist to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution.<br> This is not a research-only role.<br> You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services.<br> Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.<br> What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.<br> Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.<br> Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.<br> Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.<br> Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior.<br> Trace customer-reported issues to their root cause and turn incidents into lasting improvements.<br> Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.<br> Tech Stack Python 3.<br>11, FastAPI, Pydantic, SQLAlchemy 2.<br>0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog Experience taking machine-learning systems from problem definition through production deployment and monitoring.<br> Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.<br> A solid foundation in statistics, experimentation, forecasting, and model evaluation.<br> Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.<br> Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.<br> Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.<br> Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.<br> A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.<br> The judgment to balance model sophistication with reliability, explainability, and business value.<br> Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.<br> Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.<br> A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.<br> Years of experience are a useful signal, but not the deciding factor.<br> We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.<br> Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.<br> Probabilistic demand forecasting or hierarchical Bayesian modeling.<br> Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.<br> Causal inference and off-policy evaluation.<br> Model drift, data-quality monitoring, and experiment-tracking systems.<br> Multi-tenant SaaS or event-driven architectures.<br> Debugging distributed systems and third-party integrations in production.<br> LLM applications and agentic workflows.<br> AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.<br> Hospitality experience is welcome, but not required.<br> We will help you learn the domain.<br> What We Value Speed with quality — Ship fast, but ship code and models a staff engineer would approve AI-native workflow — You don't just know about AI tools, you use them daily to write, debug, and architect Ownership — Pick up a problem and drive it to completion without hand-holding Simplicity — Elegant solutions over over-engineered ones.<br> Minimal code that does the job Curiosity — Our domain (hotel revenue optimization) has real depth.<br> You're excited to learn it</span> </div>

<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>

Bright Volcano is looking for an experienced Senior Software Engineer / Technical Lead to join our growing technical team and take a key role in developing our ERP, CRM, Web, Mobile & AI Automation solutions. <br> <br>Key Responsibilities & Skills: <br>• Lead and support the development team <br>• Develop and manage complex ERP & CRM systems <br>• Strong Backend & API development experience <br>• Database architecture & management <br>• Web & Mobile Application Development <br>• System architecture & technical planning <br>• AI Integration & Automation Workflows <br>• Experience with LLMs (Large Language Models) and AI APIs <br>• Build AI assistants, intelligent workflows & business automation <br>• Third-party API and system integrations <br>• Code review, testing & performance optimization <br>• Manage technical tasks, priorities & deadlines <br>• Troubleshoot complex technical issues <br>• Work closely with Project & Product Managers <br> <br>ERP Experience: <br>• Experience with Odoo, Oracle ERP, SAP, or similar enterprise ERP platforms <br>• Understanding of ERP architecture, modules & business workflows <br>• Accounting, Inventory, Sales, CRM, HR & Operations modules <br>• ERP integrations, customization & automation <br> <br>Preferred Technologies: <br>PHP / Laravel • MySQL • REST APIs • Next.js / React • Mobile Development • Git • LLMs • AI APIs • Automation Tools • Odoo / Oracle / SAP <br> <br>We’re looking for someone who can code, lead, automate, solve problems, understand business processes, and take ownership of technical projects from architecture to delivery. <br> <br>Join Bright Volcano and help us build the next generation of AI-powered business solutions

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for an Intermediate/Senior Fullstack 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: Analyze Jira tickets and understand functional and technical requirements.<br> Develop, test, and maintain application features.<br> Participate in two-week development sprints.<br> Contribute to code reviews and follow the team’s development standards.<br> Collaborate with team members to propose robust, maintainable solutions aligned with client needs.<br> Participate in retrospectives and continuous improvement initiatives.<br> Ensure code quality, performance, stability, and security.<br> Clearly communicate ideas, recommendations, and technical arguments.<br> Experience in Java development.<br> Availability during our working hours, from 9:00 a.<br>m. to 4:00 p.m. Eastern Time.<br> Ability to work in an Agile environment with regular sprints.<br> Strong team spirit, including mutual support, knowledge sharing, and participation in technical discussions.<br> Ability to analyze requirements, solve problems, and deliver high-quality solutions.<br> Ideally Ability to communicate in French.<br> Understanding of client realities and operational needs.<br> Proactive approach to problem-solving.<br> Ability to defend and discuss ideas related to code, user experience, and security.<br> Strong focus on quality, stability, and maintainability.<br> Technology Stack Java 21 Spring MySQL Hibernate JavaScript, ExtJS Apache Groovy REST APIs Git</span> </div>

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

CIS Group – ICT Company located in Jal El Dib, is looking for an ambitious and motivated IT Specialist to join our dynamic team. <br>You will have the chance to work alongside experienced professionals, develop key skills, and grow within our organization. <br> <br>Responsibilities: <br> <br>• Install, configure, maintain, and troubleshoot HP/HPE server hardware and enterprise IT equipment. <br>• Manage and support HPE Synergy infrastructure, including compute modules, frames, interconnects, and related components. <br>• Maintain and monitor server and storage infrastructure to ensure high availability and performance. <br>• Administer and troubleshoot MSA storage systems and other enterprise storage solutions. <br>• Perform hardware diagnostics, component replacement, firmware updates, and preventive maintenance. <br>• Support server deployment, configuration, upgrades, and lifecycle management. <br>• Monitor storage capacity, system performance, connectivity, and hardware health. <br>• Troubleshoot server, storage, network connectivity, and hardware-related incidents. <br>• Support backup and recovery operations and assist with disaster recovery procedures. <br>• Maintain accurate documentation of hardware inventory, configurations, incidents, and maintenance activities. <br>• Coordinate with vendors and technical support teams for hardware repairs, warranty claims, and escalated issues. <br> <br>Requirements: <br> <br>• Bachelor’s degree in Information Technology, Computer Science, Computer Engineering, or a related field. <br>• 4 to 5 years of experience in IT infrastructure support, server administration, or enterprise hardware maintenance. <br>• Fluent in English, French and Arabic. <br>• Practical knowledge of HP/HPE server hardware and enterprise infrastructure. <br>• Experience with HPE Synergy or similar converged infrastructure platforms. <br>• Experience supporting MSA storage systems and enterprise server storage environments. <br>• Software <br>o Solid working knowledge of proprietary IT technologies, including MS Azure Administration, O365 Administration, MySQL Server administration, Windows Server administration, Exchange Server, Microsoft System Center (SCCM, SCOM....) and Active Directory <br>o Microsoft Certification <br>• HARDWARE: <br>o HP server/blade server <br>o HP storage (EVA, MSA,3 Par....) <br>o HP Pcs, laptops, printers, library tape (DLT), ... <br>o Anti-virus (Kaspersky....) <br>o Veeam Backup <br>o VMWare <br>o Cluster HyperV <br>o Security and Patching <br>o Cloud migration