HTML5 Jobs in Lebanon

<p><h4>Mindrift is looking for skilled bot developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project and build conversational bots and messaging-platform integrations within our hybrid AI + human environment.</h4> <p>In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tendem project. As a Bot Developer, you'll design, build, and refine messaging bots for one or more messaging platforms, including WhatsApp, Telegram, Discord, Slack, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.</p> <h4>Key responsibilities</h4> <ul> <li>Build bots for one or more messaging platforms, such as WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, Slack and similar messaging platforms.</li> <li>Design and implement conversational flows, dialogue state, and fallback handling.</li> <li>Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.</li> <li>Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).</li> <li>Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).</li> <li>Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.</li> <li>Implement logging, monitoring, and recovery so bots stay healthy in production.</li> </ul> <h4>Requirements and benefits</h4> <h5>Educational qualifications</h5> <ul> <li>At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).</li> <li>Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.</li> </ul> <h5>Academic and/or professional experience</h5> <p>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</p> <h5>Technical skills (essential)</h5> <ul> <li>At least 1 year of hands-on experience building bots for at least one major messaging platform (WhatsApp, Telegram, Discord, Slack, or similar) is required.</li> <li>Strong command of Python or Node.js for backend bot logic.</li> <li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li> <li>Experience with relational or NoSQL databases for storing conversation state and user data.</li> <li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li> <li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li> <li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS).</li> </ul> <h5>Additional requirements</h5> <ul> <li>Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows.</li> <li>Self-directed work ethic with the ability to design and ship complete bots independently.</li> <li>Portfolio or examples of bots you've built (required).</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <h4>Why this freelance opportunity might be a great fit for you?</h4> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for 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: The AI Automation Engineer is responsible for designing, deploying and improving AI agents and agentic workflows that automate routine operational work, augment teams, and improve speed, quality and scalability across the business.<br> This role is not about building disconnected experiments.<br> It is about delivering real workflow change in priority areas, initially focused on Support, Sales, Professional Services and internal operational workflows.<br> The role works closely with functional leaders and frontline teams to identify high value use cases, redesign workflows, deploy safe and useful agents, and ensure adoption in day-to-day operations.<br> The AI Automation Engineer helps shift repetitive, rules based and data intensive work to AI agents, while preserving human ownership of judgment, sensitive customer interactions, escalations, quality assurance, exception handling and continuous knowledge improvement.<br> What you will do Design and deploy AI agents Design and deploy AI agents that support operational work, including support triage, internal workflow automation, sales support, onboarding tasks, knowledge handling, reporting and analysis Build agents and workflows that integrate with CRM, ERP, internal tools, SaaS platforms and APIs Use multi step workflows, tool using agents, decision logic and orchestration patterns where appropriate Move quickly from idea to pilot to production while maintaining clear standards for quality and reliability Design and implement AI agents and workflow automations that support PDLC activities such as requirements drafting, backlog preparation, technical research, code generation, test generation, documentation, defect triage, release support, and post release analysis Identify manual or repetitive PDLC tasks and convert them into scalable AI assisted workflows, including integrations with tools such as Jira, Confluence, GitHub, service platforms, and internal systems Partner with Product, Engineering, QA, Support, and other stakeholders to pilot, refine, and scale agentic PDLC workflows across teams Redesign business workflows Identify high value automation opportunities with functional leaders and operators Redesign workflows so repetitive and rules-based work is handled by AI wherever safe and practical Support the shift to AI first intake, triage, knowledge retrieval, simple response handling and case preparation in service operations Help teams redesign work around a clear human and agent division of labour Help establish safe and scalable standards for AI use across the PDLC, including review points, escalation paths, auditability, fallback handling, and quality controls for AI generated artefacts Governance, quality and evaluation Work within approved tooling standards, data and security guardrails, and design standards for agents and evaluation Establish monitoring, fallback handling, escalation logic, prompt and workflow controls, and human review mechanisms Test workflows with real users and real operational scenarios before scaling Measure agent quality, workflow success, containment, handoff quality and operational value Continuously improve workflows based on usage data, user feedback and service outcomes Adoption and enablement Partner with functional leaders and frontline teams to support rollout and adoption Document new ways of working and help train users on how to work effectively with AI agents Surface workflow risks, resistance points and improvement opportunities Contribute reusable prompts, components, patterns and playbooks to the central AI capability Cross functional delivery Collaborate with Product, Engineering, Support, Sales and Professional Services teams Help prioritise use cases based on measurable business value, feasibility and operational readiness Support the central AI capability with value tracking, reporting and continuous learning across initiatives What success looks like Reduction in manual work and process cycle time Improved support response times and service leverage Workflow success rate and agent task completion quality Ticket containment or deflection where relevant Handoff quality for escalated or human reviewed work User adoption of AI enabled workflows Hours saved and team capacity created Contribution to service, productivity and customer outcomes Reduced manual effort across PDLC activities, faster movement from idea to release, improved quality of delivery artefacts, and stronger adoption of AI enabled workflows across Product and Engineering teams.<br> Proven track record of building products, tools, workflows, automations, startups, or side projects that went live and delivered measurable value Strong working knowledge of AI and machine learning tools, large language models and agent frameworks Experience building AI agents, workflow automations or AI powered internal tools Experience designing or improving workflows across software or product delivery lifecycles, including the use of AI tools, agents, or automations to improve speed, quality, and operational leverage Ability to go from zero to functional prototype quickly Strong systems thinking and comfort working across tools, processes and teams Comfort with ambiguity and the ability to help define the problem as well as the solution Bias toward action, with discipline around quality, evaluation and operational safety Ability to work directly with business stakeholders and translate operational pain points into practical AI solutions Nice to have Experience building AI agents or service automation workflows Experience in hospitality, retail, vertical SaaS, or B2B software environments Experience working across multiple product lines, business units or operational functions Familiarity with support operations, CRM workflows, or Professional Services delivery models Experience with analytics, reporting and operational performance measurement A bachelor’s degree in Artificial Intelligence, Software Engineering, Computer Science, Robotics, Mechanical Engineering or a related discipline</span> </div>

<p>Aspire Software is looking for a Quality Assurance Analyst 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>Role Overview</p><p>We are looking for an AI-Native QA Manager to transform how software quality is delivered. This is not a traditional QA leadership role we're looking for someone who has already demonstrated measurable improvements in QA productivity, quality, and speed through the practical application of AI, automation, and modern engineering practices. You'll lead a team responsible for quality across multiple SaaS products while fundamentally rethinking how testing is performed. We expect you to leverage AI agents, intelligent test automation, autonomous testing frameworks, and modern CI/CD practices to dramatically increase engineering velocity without compromising quality. Experience in Life Sciences, Healthcare, Medical Devices, or other regulated software environments is highly desirable.</p><p>What You'll Do</p><p>AI-Driven QA Transformation</p><ul><li>Develop and execute an AI-first strategy for software quality.</li><li>Introduce AI tools that significantly improve test creation, maintenance, defect detection, regression testing, and release confidence.</li><li>Evaluate and implement emerging AI QA platforms, coding assistants, autonomous testing tools, and agentic workflows.</li><li>Continuously measure productivity gains and quality improvements from AI adoption.</li></ul><p>QA Leadership</p><ul><li>Lead, coach and develop a distributed QA team.</li><li>Establish quality standards across manual, automated, API, integration, UI and performance testing.</li><li>Drive automation-first thinking while eliminating low-value manual work.</li><li>Build scalable QA processes that support rapid software delivery.</li></ul><p>Engineering Collaboration</p><ul><li>Partner closely with Engineering, Product Management and DevOps.</li><li>Embed quality throughout the SDLC rather than treating QA as a downstream gate.</li><li>Improve developer feedback loops through automation and intelligent tooling.</li><li>Champion shift-left testing practices.</li></ul><p>Modern Test Automation</p><ul><li>Improve automation coverage and reliability.</li><li>Reduce regression execution times through intelligent automation.</li><li>Build maintainable test frameworks integrated into CI/CD pipelines.</li><li>Increase release confidence through automated quality metrics.</li></ul><p>Metrics &amp; Continuous Improvement</p><ul><li>Own metrics such as: Test automation coverage Defect escape rate Mean time to detect defects Regression execution time QA cycle time Release quality Productivity improvements from AI Cost per release Manual effort eliminated</li></ul><p>7+ years in Software QA, including leadership experience. Demonstrated success improving QA productivity through AI, automation, or modern engineering practices. Experience leading QA teams across multiple products. Strong understanding of modern software development practices and CI/CD. Experience with API, UI, integration and end-to-end testing. Strong analytical and problem-solving skills. Comfortable working in fast-moving SaaS environments.</p><p>AI Experience (Highly Important)</p><p>You should have practical experience using tools such as:</p><ul><li>GitHub Copilot</li><li>Cursor</li><li>Claude</li><li>ChatGPT</li><li>AI coding agents</li><li>AI test generation platforms</li><li>Autonomous testing tools</li><li>AI-assisted debugging</li><li>AI-assisted root cause analysis</li></ul><p>We're interested in measurable outcomes, not simply familiarity with AI. Examples include:</p><ul><li>Reduced regression effort by 70%</li><li>Increased automation coverage from 40% to 90%</li><li>Doubled QA throughput</li><li>Reduced escaped defects</li><li>Built AI workflows that replaced repetitive manual testing</li></ul><p>Bonus Experience</p><p>Strong preference for candidates with experience in:</p><ul><li>Life Sciences software</li><li>Clinical software</li><li>Medical Affairs platforms</li><li>GxP environments</li><li>FDA-regulated software</li><li>ISO 13485</li><li>IEC 62304</li><li>HIPAA</li><li>SOC 2</li><li>Other regulated industries (banking, aviation, insurance, government)</li></ul><p>What Success Looks Like (First 12 Months)</p><p>Within your first year, you will:</p><ul><li>Increase QA team productivity by 2 5x through AI and automation.</li><li>Significantly reduce manual regression testing.</li><li>Improve release confidence while increasing release frequency.</li><li>Implement AI-assisted test generation and maintenance.</li><li>Embed quality throughout the SDLC rather than relying on end-of-cycle testing.</li><li>Establish clear quality metrics and executive dashboards.</li><li>Build a culture where QA engineers leverage AI as a core part of their daily workflow.</li></ul><p>Why Join Us</p><p>You'll have the opportunity to reshape software quality from the ground up across a growing portfolio of SaaS products. We believe AI is fundamentally changing software engineering, and we want QA to lead that transformation not follow it. If you're excited about replacing repetitive work with intelligent automation, building AI-enabled teams, and delivering higher-quality software faster, we'd love to hear from you.</p><p><strong>Desired Candidate Profile</strong></p><p>7+ years in Software QA, including leadership experience. Demonstrated success improving QA productivity through AI, automation, or modern engineering practices. Experience leading QA teams across multiple products. Strong understanding of modern software development practices and CI/CD. Experience with API, UI, integration and end-to-end testing. Strong analytical and problem-solving skills. Comfortable working in fast-moving SaaS environments.</p><p>AI Experience (Highly Important)</p><p>You should have practical experience using tools such as:</p><ul><li>GitHub Copilot</li><li>Cursor</li><li>Claude</li><li>ChatGPT</li><li>AI coding agents</li><li>AI test generation platforms</li><li>Autonomous testing tools</li><li>AI-assisted debugging</li><li>AI-assisted root cause analysis</li></ul><p>We're interested in measurable outcomes, not simply familiarity with AI. Examples include:</p><ul><li>Reduced regression effort by 70%</li><li>Increased automation coverage from 40% to 90%</li><li>Doubled QA throughput</li><li>Reduced escaped defects</li><li>Built AI workflows that replaced repetitive manual testing</li></ul><p>Bonus Experience</p><p>Strong preference for candidates with experience in:</p><ul><li>Life Sciences software</li><li>Clinical software</li><li>Medical Affairs platforms</li><li>GxP environments</li><li>FDA-regulated software</li><li>ISO 13485</li><li>IEC 62304</li><li>HIPAA</li><li>SOC 2</li><li>Other regulated industries (banking, aviation, insurance, government)</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>The Company:</strong></p><br><p>Sucafina is the leading sustainable Farm to Roaster coffee company, with a family tradition in commodities that stretches back to 1905. Today, with more than 1,400 employees in 34 countries, we help stakeholders worldwide to find the perfect coffee solutions. We embed technology, innovation, and sustainability throughout the supply chain, creating shared value for all by Investing in Farmers, Caring for People, and Protecting Our Planet. For more information, visit www.sucafina.com.</p><br><p><strong>What are we looking for:</strong></p><br><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><br><p><strong>What we offer:</strong></p><br><p>We offer within our pleasant family environment, great opportunities to learn and grow, we offer challenges and exposure to multicultural environments, on-merit base compensation, and free coffee around the clock!</p><br><br>Job Description<br><p><strong>Job Overview</strong></p><br><p>Associate Data Integration Engineer is responsible for designing, developing, and maintaining cloud-based integration solutions using Microsoft Azure services. This role focuses on building scalable integration architectures, implementing API-driven workflows, orchestrating system communication, and ensuring high availability, performance, and security across integration platforms.</p><br><p>The engineer will work closely with application teams, data engineers, and architects to deliver enterprise-grade integration solutions.</p><br><p><strong>Key Responsibilities</strong></p><br><p><strong>1. Solution Design </strong></p><br><ul><li>Design and implement integration solutions using Azure services such as:<ul><li><strong>Azure Logic Apps (Standard &amp; Consumption)</strong></li><li><strong>Azure Service Bus (Queues, Topics, DLQ)</strong></li><li><strong>Azure API Management</strong></li><li><strong>Event Grid / Event Hub</strong></li><li><strong>Azure Functions</strong></li></ul></li><li>Translate functional requirements into scalable integration architectures.</li><li>Build robust retry, error-handling, dead-lettering, and monitoring patterns.</li></ul><p><strong>2. Development &amp; Implementation</strong></p><br><ul><li>Develop integration workflows using Logic Apps (stateful and stateless).</li><li>Implement synchronous and asynchronous messaging patterns.</li><li>Build APIs and connectors for internal/external system integrations.</li><li>Implement CI/CD pipelines for integration components (Azure DevOps/GitHub).</li><li>Build reusable components, templates, and enterprise integration patterns.</li></ul><p><strong>3. Service Bus &amp; Messaging</strong></p><br><ul><li>Configure queues, topics, subscriptions, and rules.</li><li>Implement DLQ handling, repair &amp; replay, and quarantine logic.</li><li>Ensure message security, idempotency, and guaranteed delivery.</li></ul><p><strong>4. API Management</strong></p><br><ul><li>Publish, secure, and monitor APIs using Azure API Management.</li><li>Implement policies (rate limiting, caching, transformation, authentication).</li><li>Manage API lifecycle and developer onboarding.</li></ul><p><strong>5. Monitoring &amp; Support</strong></p><br><ul><li>Implement alerting and observability using:<ul><li><strong>Application Insights</strong></li><li><strong>Log Analytics</strong></li><li><strong>Azure Monitor</strong></li></ul></li><li>Troubleshoot integration failures, performance issues, and message dead-lettering.</li><li>Support production workloads, ensure platform reliability, and optimize cost.</li></ul><p><strong>6. Security &amp; Governance</strong></p><br><ul><li>Apply best practices for identity and access management (Azure AD).</li><li>Implement security standards: Managed Identity, OAuth2, RBAC, Key Vault.</li><li>Ensure compliance with company governance and Azure landing zone policies.</li></ul><br>Qualifications<br><p><strong>Required Skills &amp; Qualifications</strong></p><br><ul><li>Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.</li><li>Basic understanding of data integration concepts (ETL/ELT, APIs, messaging).</li><li>Experience or familiarity with programming languages such as <strong>Python, Java, C#, or SQL</strong></li><li>Knowledge of relational databases (PostgreSQL, MySQL, SQL Server) and basic NoSQL concepts, CosmosDb.</li><li>Understanding of data formats such as JSON, XML, CSV, and Parquet.</li><li>Familiarity with REST APIs and data exchange mechanisms.</li><li>Basic exposure to cloud platforms (Azure) is an advantage.</li></ul><br>Additional Information<br><p><strong>Soft skills</strong></p><br><ul><li>Strong analytical skills and capacity to challenge the financial information received</li><li>High sense of organisation and able to manage multiple tasks with strong attention to detail</li><li>Excellent communication skills with the ability to interact with international stakeholders</li><li>Curious, proactive,&nbsp; keen to learn and ready for new challenges</li><li>Ability to work independently while also having a team-oriented mindset.</li></ul><p><strong>Languages</strong></p><br><ul><li>Excellent knowledge of English (written and verbal communication skills)</li><li>Knowledge of any other language is a plus (French)</li></ul><br><br> </div>

<p>Aspire Software is looking for a Customer-Technical Support Specialist 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>Role Overview</p><p>As a Technical Customer Support Specialist, you are often the first person a hotel contacts when something in its property management system is not working sometimes during check-in and with guests waiting. You will help customers use our software effectively, answer how-to questions, diagnose technical problems, and resolve issues across a broad range of hospitality products and integrations. This includes explaining workflows, guiding users through configuration and operational tasks, reproducing reported problems, and determining whether an issue is related to data, configuration, permissions, an integration, or a software defect. You will resolve as much as possible during the initial interaction. When escalation is required, you will document the issue with enough evidence and context that the next person can continue the investigation without starting over. Tickets are initially triaged and tagged through AI-assisted workflows. You will assess that triage, correct it when necessary, review drafted responses, and take over the conversation whenever a customer needs direct assistance from a person.</p><p>What You Will Do</p><ul><li>Work the Shared Support Queue</li><li>Pull tickets from the team s shared queue, prioritize your workload based on severity, customer impact, and ticket age, and take ownership of each issue through resolution. The team works toward shared service and open-ticket goals rather than relying only on individually assigned inboxes.</li><li>Support Customers Across Every Channel</li><li>Provide support through phone, email, and chat. Adjust your communication style to the situation, whether you are answering a straightforward software question or leading a live troubleshooting call with a hotel experiencing an urgent operational issue.</li><li>Answer Product and Workflow Questions</li><li>Help customers understand how to use the software in their day-to-day hotel operations. This includes explaining features, walking users through processes, helping with configuration, and identifying when a how-to question is actually the result of incorrect setup, missing permissions, or unexpected system behavior.</li><li>Work With AI-Assisted Support Tools</li><li>Review AI-generated classifications and drafted responses before relying on them as our answer. Correct intent, priority, sentiment, language, and product classifications when necessary, and suppress automated responses when they would be inappropriate, including security, legal, or previously escalated matters. AI output is a starting point. You remain accountable for the accuracy of the response and for confirming that the customer s issue has been resolved.</li><li>Diagnose Issues Across Our Product Portfolio</li><li>Support roommaster Cloud, roommaster Anywhere, our browser-based PMS, Booking Engine and Channel Manager, roommaster Payments, Caretaker/Eventory and many more. Identifying the correct product, environment, database region, and affected workflow is often the first step in the diagnostic process.</li><li>Troubleshoot Integrations</li><li>Investigate issues involving data moving between connected systems, such as: Availability not reaching an online travel agency Reservations not arriving in the PMS Rates or restrictions not updating Transactions missing from reports Third-party systems returning incomplete or unexpected data Use logs, audit trails, request and response data, and the behavior of both systems to determine where the handoff failed.</li><li>Support Card Payments and Terminals</li><li>Assist with payment-terminal setup and connectivity, batch and settlement questions, refund, duplicate charges, tokenization, and processor-side issues. Understand what can be addressed within roommaster and when the issue must be escalated to another internal team.</li><li>Support Distribution and OTA Connectivity</li><li>Troubleshoot room and rate mapping, availability and restriction updates, and connections with platforms such as Booking.com, Expedia, Agoda, and Airbnb. Recognize the operational impact of distribution issues. For example, a stalled availability update that could cause a hotel to oversell rooms requires a different response than a routine mapping question.</li><li>Maintain Accurate Support Records</li><li>Ensure each ticket contains the correct: Ticket form and classification Customer organization and contact Product and product-automation fields Priority and severity Problem-versus-question classification Troubleshooting notes and supporting evidence Contacts must be associated with the correct organization, and all required information must be completed before a ticket is resolved.</li><li>Reduce Repeat Contact</li></ul><p><strong>Desired Candidate Profile</strong></p><p>At least one year of experience in technical support, application support, software support, or a comparable customer-facing technical role</p><p>A structured diagnostic approach: reproduce the issue, isolate variables, form and test a hypothesis, and escalate with evidence</p><p>Ability to distinguish among a product question, data issue, configuration problem, permissions issue, integration failure, and software defect</p><p>Comfort using browser developer tools, including reviewing console errors and inspecting failed network requests</p><p>Working knowledge of APIs and integrations, including HTTP status codes, request and response payloads, and webhooks</p><p>Ability to reconstruct events using logs, audit trails, transaction histories, and customer conversations</p><p>Strong written English and the ability to produce clear, accurate responses suitable for customers, hotel management, processors, vendors, and other stakeholders</p><p>Clear and confident spoken English, including the ability to lead a live call with a customer experiencing a stressful operational issue</p><p>Ability to manage and prioritize your workload without needing to be given a daily task list</p><p>Strong ownership and follow-through, including confirming that the customer s issue has been resolved</p><p>Beneficial Experience</p><ul><li>Hotel front-desk, reservations, accounting, or back-office experience</li><li>Experience with card payments or payment terminals, including Adyen, or another hotel or retail payment provider</li><li>Experience with channel managers, booking engines, or OTA extranets</li><li>Experience with Zendesk or a comparable ticketing platform</li><li>SQL knowledge or experience building reports from a relational database</li><li>Basic networking knowledge</li><li>Ability to use AI-assisted tools effectively while critically evaluating their output for accuracy, relevance, tone, security, and appropriateness</li><li>Experience supporting SaaS products or connected software platforms</li></ul>

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

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>About the Role</b> Are you passionate about building scalable, reliable data platforms that power business decisions and customer experiences? As a Senior II Data Engineer at Toters, you'll design and build modern data infrastructure that enables reliable, real-time and batch data processing across the organization. You'll own the design and delivery of complex data pipelines, influence technical decisions within your domain, and help establish engineering best practices that improve the scalability, reliability, and maintainability of our data platform. Working closely with Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll help transform high-volume operational data into trusted, high-quality data products that drive business impact.</p><p>In this role, you will:</p><ul><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.</li><li>Design, build, and maintain reliable batch and streaming data pipelines that support analytics, operational systems, and machine learning workloads.</li><li>Develop scalable data ingestion frameworks capable of processing high-volume event and transactional data.</li><li>Design and optimize data models that enable efficient analytics while supporting long-term maintainability.</li><li>Build resilient streaming solutions while balancing throughput, latency, reliability, and operational cost.</li><li>Develop and maintain modern data lakehouse architectures using cloud-native technologies and distributed data platforms.</li><li>Design schemas and data contracts that promote consistency, governance, and interoperability across systems.</li><li>Improve platform observability by implementing monitoring, alerting, data quality validation, and operational dashboards.</li><li>Troubleshoot production issues, participate in incident response, perform root cause analysis, and implement long-term improvements.</li><li>Optimize storage, compute, and data movement costs while maintaining platform performance and reliability.</li><li>Participate in architecture discussions and contribute to technical decisions that improve scalability and system resilience.</li><li>Create reusable frameworks, tooling, and engineering patterns that improve developer productivity and platform consistency.</li><li>Conduct thoughtful code reviews and share constructive feedback to maintain high engineering standards.</li><li>Mentor junior engineers through technical guidance, design discussions, and knowledge sharing.</li><li>Collaborate with Software Engineering, Product, Analytics, and Machine Learning teams to deliver scalable, high-quality data solutions.</li></ul><p>Key Qualifications</p><p>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</p><p>6+ years of experience designing and building production-grade data platforms or distributed data systems.</p><p>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</p><p>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</p><p>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</p><p>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</p><p>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</p><p>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</p><p>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</p><p>Familiarity with analytical query engines such as ClickHouse or Trino.</p><p>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</p><p>Experience with modern data transformation frameworks such as dbt is a plus.</p><p>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</p><p>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</p><p>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</p><p>Passion for building reliable, scalable, and maintainable data platforms.</p><p>Nice to Have</p><p>Experience building large-scale streaming architectures using Apache Flink.</p><p>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</p><p>Experience implementing CDC pipelines using Debezium or similar technologies.</p><p>Experience using dbt for transformation and analytics engineering workflows.</p><p>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</p><p>Experience deploying infrastructure using Terraform and Kubernetes.</p><p>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</p><p>Experience working in high-growth technology companies or on-demand marketplace platforms.</p><p>Why Toters?</p><p>Flexible work environment with hybrid-friendly roles.</p><p>Opportunity to work on a modern, cloud-native data platform that powers products used by thousands of customers every day.</p><p>Collaborate with talented engineers while growing your technical expertise and career.</p><p>Strong culture of mentorship, collaboration, and continuous learning.</p><p>Opportunity to solve complex engineering challenges involving streaming, distributed systems, and large-scale data processing.</p><p>Direct impact on business-critical products and engineering decisions.</p><p>Competitive compensation package.</p><p>Exclusive discounts on Toters orders.</p><p>First-class medical insurance.</p></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>6+ years of experience designing and building production-grade data platforms or distributed data systems.</li><li>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</li><li>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</li><li>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</li><li>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</li><li>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</li><li>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</li><li>Familiarity with analytical query engines such as ClickHouse or Trino.</li><li>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</li><li>Experience with modern data transformation frameworks such as dbt is a plus.</li><li>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</li><li>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</li><li>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</li><li>Passion for building reliable, scalable, and maintainable data platforms.</li><li>Experience building large-scale streaming architectures using Apache Flink.</li><li>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</li><li>Experience implementing CDC pipelines using Debezium or similar technologies.</li><li>Experience using dbt for transformation and analytics engineering workflows.</li><li>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</li><li>Experience deploying infrastructure using Terraform and Kubernetes.</li><li>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</li><li>Experience working in high-growth technology companies or on-demand marketplace platforms.</li></ul><p></p></section>

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

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Customer-Technical Support Specialist to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> Role Overview As a Technical Customer Support Specialist, you are often the first person a hotel contacts when something in its property management system is not working—sometimes during check-in and with guests waiting.<br> You will help customers use our software effectively, answer “how-to” questions, diagnose technical problems, and resolve issues across a broad range of hospitality products and integrations.<br> This includes explaining workflows, guiding users through configuration and operational tasks, reproducing reported problems, and determining whether an issue is related to data, configuration, permissions, an integration, or a software defect.<br> You will resolve as much as possible during the initial interaction.<br> When escalation is required, you will document the issue with enough evidence and context that the next person can continue the investigation without starting over.<br> Tickets are initially triaged and tagged through AI-assisted workflows.<br> You will assess that triage, correct it when necessary, review drafted responses, and take over the conversation whenever a customer needs direct assistance from a person.<br> What You Will Do Work the Shared Support Queue Pull tickets from the team’s shared queue, prioritize your workload based on severity, customer impact, and ticket age, and take ownership of each issue through resolution.<br> The team works toward shared service and open-ticket goals rather than relying only on individually assigned inboxes.<br> Support Customers Across Every Channel Provide support through phone, email, and chat.<br> Adjust your communication style to the situation, whether you are answering a straightforward software question or leading a live troubleshooting call with a hotel experiencing an urgent operational issue.<br> Answer Product and Workflow Questions Help customers understand how to use the software in their day-to-day hotel operations.<br> This includes explaining features, walking users through processes, helping with configuration, and identifying when a “how-to” question is actually the result of incorrect setup, missing permissions, or unexpected system behavior.<br> Work With AI-Assisted Support Tools Review AI-generated classifications and drafted responses before relying on them as our answer.<br> Correct intent, priority, sentiment, language, and product classifications when necessary, and suppress automated responses when they would be inappropriate, including security, legal, or previously escalated matters.<br> AI output is a starting point.<br> You remain accountable for the accuracy of the response and for confirming that the customer’s issue has been resolved.<br> Diagnose Issues Across Our Product Portfolio Support roommaster Cloud, roommaster Anywhere, our browser-based PMS, Booking Engine and Channel Manager, roommaster Payments, Caretaker/Eventory and many more.<br> Identifying the correct product, environment, database region, and affected workflow is often the first step in the diagnostic process.<br> Troubleshoot Integrations Investigate issues involving data moving between connected systems, such as: Availability not reaching an online travel agency Reservations not arriving in the PMS Rates or restrictions not updating Transactions missing from reports Third-party systems returning incomplete or unexpected data Use logs, audit trails, request and response data, and the behavior of both systems to determine where the handoff failed.<br> Support Card Payments and Terminals Assist with payment-terminal setup and connectivity, batch and settlement questions, refund, duplicate charges, tokenization, and processor-side issues.<br> Understand what can be addressed within roommaster and when the issue must be escalated to another internal team.<br> Support Distribution and OTA Connectivity Troubleshoot room and rate mapping, availability and restriction updates, and connections with platforms such as Booking.<br>com, Expedia, Agoda, and Airbnb.<br> Recognize the operational impact of distribution issues.<br> For example, a stalled availability update that could cause a hotel to oversell rooms requires a different response than a routine mapping question.<br> Maintain Accurate Support Records Ensure each ticket contains the correct: Ticket form and classification Customer organization and contact Product and product-automation fields Priority and severity Problem-versus-question classification Troubleshooting notes and supporting evidence Contacts must be associated with the correct organization, and all required information must be completed before a ticket is resolved.<br> Reduce Repeat Contact When the same question or issue appears repeatedly, help turn the solution into a reusable macro, internal procedure, Help Center article, training opportunity, or product improvement request.<br> Helping customers find answers more easily and preventing repeat issues are core parts of the role.<br> Participate in Our Global Support Schedule Our customers operate across North America, EMEA, and APAC.<br> Support follows a global, followthe-sun model, and this role participates in a shift rotation that includes weekend coverage.<br> At least one year of experience in technical support, application support, software support, or a comparable customer-facing technical role A structured diagnostic approach: reproduce the issue, isolate variables, form and test a hypothesis, and escalate with evidence Ability to distinguish among a product question, data issue, configuration problem, permissions issue, integration failure, and software defect Comfort using browser developer tools, including reviewing console errors and inspecting failed network requests Working knowledge of APIs and integrations, including HTTP status codes, request and response payloads, and webhooks Ability to reconstruct events using logs, audit trails, transaction histories, and customer conversations Strong written English and the ability to produce clear, accurate responses suitable for customers, hotel management, processors, vendors, and other stakeholders Clear and confident spoken English, including the ability to lead a live call with a customer experiencing a stressful operational issue Ability to manage and prioritize your workload without needing to be given a daily task list Strong ownership and follow-through, including confirming that the customer’s issue has been resolved Availability to participate in a shift rotation covering a 24/7 support struture Beneficial Experience Hotel front-desk, reservations, accounting, or back-office experience Experience with card payments or payment terminals, including Adyen, or another hotel or retail payment provider Experience with channel managers, booking engines, or OTA extranets Experience with Zendesk or a comparable ticketing platform SQL knowledge or experience building reports from a relational database Basic networking knowledge Ability to use AI-assisted tools effectively while critically evaluating their output for accuracy, relevance, tone, security, and appropriateness Experience supporting SaaS products or connected software platforms Hotel experience is valuable, but it is not required.<br> We can teach hospitality operations to someone who already has strong technical troubleshooting and customer communication skills.<br> What We Will Teach You How a Hotel Operates You will learn the daily hotel cycle, from reservations and arrivals through check-in, folio management, and night audit.<br> You will also learn hospitality terminology such as rate plans, availability and restrictions, no-shows, walk-ins, room moves, and overbooking.<br> Understanding hotel operations is essential to determining the true urgency and impact of an issue.<br> Why Certain Issues Are Emergencies A stalled availability update is not simply a data-sync problem—it may place a hotel at immediate risk of selling rooms it does not have.<br> You will learn which issues create operational or financial risk, how quickly that risk develops, and how to respond appropriately.<br> Our Products and Environments You will learn how properties are configured across our products, regions, integrations, and database environments, as well as how to identify the systems involved in a reported issue.<br> Payments from End to End You will learn how payment terminals, tokenization, authorization, batching, settlement, refunds, and payment processors interact—and, importantly, what data and processes Support must never access or modify.<br> Distribution and Connectivity You will learn how room and rate mapping works, how availability and restriction updates move between systems, and how major OTA extranets behave.<br> Escalation and Incident Management You will learn our escalation process, severity criteria, duplicate-ticket linking, documentation requirements, and communication expectations during active incidents.<br> How the Team Works Our Workload Follows Hotel Operations Support volume is heaviest on weekdays and typically peaks on Mondays as issues from the weekend are reported or followed up.<br> A typical weekday generates approximately 105 support tickets, while a weekend day generally generates 38–40.<br> These tickets are shared across the team.<br> AI Assists the Team AI helps classify, route, and prioritize tickets and can draft suggested responses.<br> Support specialists remain responsible for validating its output, applying judgment, and ensuring that the customer receives an accurate and complete resolution.<br> We Work as One Support Team The team shares responsibility for the queue and overall customer experience.<br> Collaboration is expected: team members help one another investigate issues, share product knowledge, and move difficult tickets toward resolution.<br> Success is not measured by individual ticket volume alone.<br> Performance Is Balanced Performance is evaluated across several areas, including: Resolution quality and accuracy Responsiveness Customer satisfaction Ticket ownership and follow-through Documentation and ticket hygiene Appropriate prioritization and escalation Contribution to the performance and knowledge of the wider team Ticket volume is considered in context and does not, by itself, determine performance.<br></span> </div>

We are a fashion sewing workshop specializing in making evening gowns and wedding dresses. We are looking for a skilled pattern maker to join our team. The ideal candidate should have experience designing precise, high-quality patterns that translate designers' visions into meticulously crafted, perfectly fitting garments. <br> <br>Responsibilities: <br> <br>Developing and altering evening wear and wedding dress patterns according to the designer's specifications <br> <br>Take measurements and perform fittings, adjusting patterns to achieve a perfect and proper fit <br> <br>Work with delicate fabrics such as silk, lace, tulle, and organza <br> <br>Close collaboration with designers and the tailoring team to maintain quality and garment integrity <br> <br>Requirements: <br> <br>Proven experience in couture pattern making and wedding dress construction <br> <br>Strong pattern design, prep, and sewing skills <br> <br>High attention to detail and ability to work with luxury fabrics <br> <br>Ability to work independently and as part of a team <br> <br>Knowledge of using PAD system software

<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 &amp; 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 &amp; 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 &amp; 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 &amp; 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>

Join a leading company in the lighting industry and grow your career. <br> <br>Key Responsibilities: <br>• Generate new business opportunities across Lebanon <br>• Visit construction sites and meet with contractors, architects, interior designers, consultants, developers, and project owners <br>• Build long-term client relationships and manage projects from design to execution <br>• Prepare quotations, negotiate deals, and achieve sales targets <br>• Coordinate with technical and showroom teams to deliver excellent customer service <br> <br>Requirements: <br>✅ 3–5 years of B2B sales/business development experience <br>✅ Lighting industry experience is a strong advantage <br>✅ Excellent communication, negotiation, and networking skills <br>✅ Self-motivated, organized, and target-driven <br>✅ Able to work independently and manage multiple projects

Join a leading company in the lighting industry and grow your career. <br> <br>Key Responsibilities: <br>• Generate new business opportunities across Lebanon <br>• Visit construction sites and meet with contractors, architects, interior designers, consultants, developers, and project owners <br>• Build long-term client relationships and manage projects from design to execution <br>• Prepare quotations, negotiate deals, and achieve sales targets <br>• Coordinate with technical and showroom teams to deliver excellent customer service <br> <br>Requirements: <br>✅ 3–5 years of B2B sales/business development experience <br>✅ Lighting industry experience is a strong advantage <br>✅ Excellent communication, negotiation, and networking skills <br>✅ Self-motivated, organized, and target-driven <br>✅ Able to work independently and manage multiple projects

Join a leading company in the lighting industry and grow your career. <br> <br>Key Responsibilities: <br>• Generate new business opportunities across Lebanon <br>• Visit construction sites and meet with contractors, architects, interior designers, consultants, developers, and project owners <br>• Build long-term client relationships and manage projects from design to execution <br>• Prepare quotations, negotiate deals, and achieve sales targets <br>• Coordinate with technical and showroom teams to deliver excellent customer service <br> <br>Requirements: <br>✅ 3–5 years of B2B sales/business development experience <br>✅ Lighting industry experience is a strong advantage <br>✅ Excellent communication, negotiation, and networking skills <br>✅ Self-motivated, organized, and target-driven <br>✅ Able to work independently and manage multiple projects

Design Engineer Electrical - Transmission Line <br> <br>Location: Lebanon <br> <br>Role Overview: <br>We are looking for a specialized Electrical Design Engineer to focus on High-Voltage Transmission Line design for our international power distribution projects. <br> <br>Key Responsibilities: <br> <br> Design overhead transmission lines, including conductor sizing, insulator selection, and tower spotting. <br> <br> Perform electrical clearances, sag-tension calculations, and grounding designs. <br> <br> Prepare technical specifications and bill of materials (BOM) for procurement. <br> <br> Ensure designs comply with international electrical codes and utility standards. <br> <br>Qualifications: <br> <br> Bachelor’s degree in Electrical Engineering. <br>Exp 5+ Years <br> Experience in HV transmission line and substation electrical design. <br> <br> Proficiency with PLS-CADD or similar transmission line design software. <br> <br>Submit your application directly through this job posting <br>or Email: Send your CV to careers@i-cc.co <br>or WhatsApp: Send your CV to +961 71224727

???? We're Hiring: Sales Representative (Lighting Solutions) <br> <br>Join a leading company in the lighting industry and grow your career in B2B sales! <br> <br>Key Responsibilities: <br>• Generate new business opportunities across Lebanon <br>• Visit construction sites and meet with contractors, architects, interior designers, consultants, developers, and project owners <br>• Build long-term client relationships and manage projects from design to execution <br>• Prepare quotations, negotiate deals, and achieve sales targets <br>• Coordinate with technical and showroom teams to deliver excellent customer service <br> <br>Requirements: <br>✅ 3–5 years of B2B sales/business development experience <br>✅ Lighting industry experience is a strong advantage <br>✅ Excellent communication, negotiation, and networking skills <br>✅ Self-motivated, organized, and target-driven <br>✅ Able to work independently and manage multiple projects

???? We're Hiring: Sales Representative (Lighting Solutions) <br> <br>Join a leading company in the lighting industry and grow your career in B2B sales! <br> <br>Key Responsibilities: <br>• Generate new business opportunities across Lebanon <br>• Visit construction sites and meet with contractors, architects, interior designers, consultants, developers, and project owners <br>• Build long-term client relationships and manage projects from design to execution <br>• Prepare quotations, negotiate deals, and achieve sales targets <br>• Coordinate with technical and showroom teams to deliver excellent customer service <br> <br>Requirements: <br>✅ 3–5 years of B2B sales/business development experience <br>✅ Lighting industry experience is a strong advantage <br>✅ Excellent communication, negotiation, and networking skills <br>✅ Self-motivated, organized, and target-driven <br>✅ Able to work independently and manage multiple projects

We are seeking an experienced & results driven Factory Commercial Manager to manage & develop the commercial activities of our ceramic cutting & customization factory. <br> <br>Key responsibilities: <br>- Develop & implement sales & commercial strategies <br>- Promote customized ceramic cutting services. <br>- Build relationships with contractors, architects, interior designers, developers, & project owners. <br>- Follow up on customer payments & outstanding balances. <br>- Prepare quotations, negotiate terms proces, & close sales. <br>- Coordinate orders, designs, production, & delivery with the factory team. <br>- Monitor sales targets, customer payments & market developments . <br>- Prepare regular sales forecasts & managements reports

We are hiring fresh structural engineers to assist senior designers in the structural design of residential buildings. Candidates can be recently graduated or with brief experience in structural design

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are hiring fresh structural engineers to assist senior designers in the structural design of residential buildings.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Candidates can be recently graduated or with brief experience in structural design.</p><p></p></section>