Database Developer Jobs

Key Responsibilities: <br> <br>Business Development <br>• Conduct detailed market research across Lebanon. <br>• Identify market opportunities and product gaps. <br>• Analyse competitors, pricing, brands, and customer preferences. <br>• Develop pricing strategies and profit margins. <br>• Build relationships with architects, contractors, developers, consultants, • retailers, and project owners. <br>• Generate new business opportunities and secure sales. <br> <br>Showroom Development <br>• Identify suitable showroom and warehouse locations. <br>• Evaluate rental options and negotiate lease terms. <br>• Coordinate showroom layout, branding, displays, and customer experience. <br>• Assist in planning future expansion. <br>• Procurement & Supplier Coordination <br>• Communicate with international suppliers. <br>• Request quotations and compare offers. <br>• Prepare cost comparisons and landed cost calculations. <br>• Coordinate orders, production follow-up, and shipping schedules. <br>• Monitor product quality and documentation. <br> <br>Logistics & Inventory <br>• Coordinate imports, customs clearance, and freight forwarding. <br>• Monitor inventory levels. <br>• Develop inventory control procedures. <br>• Ensure timely product availability. <br> <br>Operations <br>• Develop company processes and workflows. <br>• Recommend ERP/accounting software. <br>• Assist in establishing operational policies. <br>• Coordinate with accountants, freight forwarders, customs brokers, and service providers. <br> <br>Sales & Marketing <br>• Build the customer database. <br>• Visit potential clients across Lebanon. <br>• Prepare quotations and follow up with customers. <br>• Support social media, digital marketing, and promotional activities. <br>• Participate in exhibitions and industry events. <br> <br>Administration <br>• Prepare business reports. <br>• Track KPIs and sales performance. <br>• Maintain organized documentation. <br>• Support management with strategic recommendations. <br> <br> <br>Qualifications <br>• Bachelor's degree in business administration, Marketing, Engineering, Supply Chain, Architecture, Interior Design, or related field. <br>• 3–5 years of relevant experience in building materials, construction, interiors, sanitary ware, lighting, ceramics, or related industries. <br>• Excellent Arabic and English communication skills. French is an advantage. <br>Strong knowledge of Microsoft Excel and Microsoft Office. <br>• Experience with ERP systems is preferred. <br>• Valid Lebanese driving license and willingness to travel throughout Lebanon. <br> <br> <br>Skills <br>• Strong commercial awareness <br>• Negotiation skills <br>• Market analysis <br>• Sales ability <br>• Project coordination <br>• Supplier management <br>• Analytical thinking <br>• Excellent communication <br>• Problem solving <br>• Ability to work independently <br>• Entrepreneurial mindset <br>• High level of integrity and accountability <br> <br> <br>Performance Indicators <br>• Number of new customers acquired <br>• Monthly sales generated <br>• Gross profit margin <br>• Number of supplier agreements established <br>• Showroom launch milestones achieved <br>• Market research completion <br>• Inventory accuracy <br>• Customer satisfaction <br>• Operational readiness <br>• Cost optimization <br> <br> <br>Career Growth <br>As the company expands, this role is expected to evolve into Business Development & Operations Manager, leading specialized teams in sales, procurement, logistics, showroom operations, and marketing. <br>This position is ideal for someone who wants to grow alongside the company and play a key role in building a leading building materials brand in Lebanon

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<p>The Senior Developer is a full-time, on-site role based in Ras Beirut. This role is responsible for designing, developing, and maintaining high-quality software solutions that address complex business challenges. Day-to-day tasks include writing clean and efficient code, implementing software features according to technical specifications, participating in code reviews and architectural discussions, troubleshooting and resolving technical issues, and collaborating with cross-functional teams to deliver robust solutions. The developer contributes to the entire software development lifecycle, from requirements analysis and design through implementation, testing, and deployment. The role also involves documenting code and technical solutions, identifying opportunities for process improvement and optimization, mentoring junior developers, and staying current with industry best practices and emerging technologies.</p><p><strong>Desired Candidate Profile</strong></p><p>Candidates should possess strong expertise in software development with proficiency in one or more programming languages such as Python, Java, C#, JavaScript, or similar.</p><p>Candidates should possess solid understanding of software design patterns, object-oriented programming principles, and best practices for writing maintainable and scalable code.</p><p>Candidates should possess robust problem-solving skills and the ability to analyze complex technical requirements and propose effective solutions.</p><p>Candidates should possess experience with version control systems such as Git and familiarity with collaborative development workflows.</p><p>Candidates should possess understanding of software testing methodologies, including unit testing, integration testing, and quality assurance practices.</p><p>Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.</p><p>Minimum 5 years of professional experience in software development or similar roles.</p><p>Experience with relational and non-relational databases and SQL or equivalent query languages.</p><p>Strong communication skills and the ability to work effectively in cross-functional teams and document technical solutions clearly.</p><p>Experience with API development and integration of third-party services is an advantage.</p><p>Familiarity with agile development methodologies and tools such as Jira or similar project management platforms.</p><p>Demonstrated ability to mentor junior developers and contribute to team knowledge sharing and professional development.</p>

<p>The Senior Developer is a full-time, on-site role based in Ras Beirut. This role is responsible for designing, developing, and maintaining high-quality software solutions that address complex business challenges. Day-to-day tasks include writing clean and efficient code, implementing software features according to technical specifications, participating in code reviews and architectural discussions, troubleshooting and resolving technical issues, and collaborating with cross-functional teams to deliver robust solutions. The developer contributes to the entire software development lifecycle, from requirements analysis and design through implementation, testing, and deployment. The role also involves documenting code and technical solutions, identifying opportunities for process improvement and optimization, mentoring junior developers, and staying current with industry best practices and emerging technologies.</p><p><strong>Desired Candidate Profile</strong></p><p>Candidates should possess strong expertise in software development with proficiency in one or more programming languages such as Python, Java, C#, JavaScript, or similar.</p><p>Candidates should possess solid understanding of software design patterns, object-oriented programming principles, and best practices for writing maintainable and scalable code.</p><p>Candidates should possess robust problem-solving skills and the ability to analyze complex technical requirements and propose effective solutions.</p><p>Candidates should possess experience with version control systems such as Git and familiarity with collaborative development workflows.</p><p>Candidates should possess understanding of software testing methodologies, including unit testing, integration testing, and quality assurance practices.</p><p>Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.</p><p>Minimum 5 years of professional experience in software development or similar roles.</p><p>Experience with relational and non-relational databases and SQL or equivalent query languages.</p><p>Strong communication skills and the ability to work effectively in cross-functional teams and document technical solutions clearly.</p><p>Experience with API development and integration of third-party services is an advantage.</p><p>Familiarity with agile development methodologies and tools such as Jira or similar project management platforms.</p><p>Demonstrated ability to mentor junior developers and contribute to team knowledge sharing and professional development.</p>

<p>Senior Graphic Designer/ UX/UI Designer Location: Lebanon Employment Type: Full-time, Permanent Work Model: Hybrid primarily remote with office attendance when required Working Schedule: Monday to Saturday, 9:00 AM 5:00 PM</p><p>The Senior Graphic Designer / UI/UX Designer will be responsible for taking projects from initial research and concept development through branding, UI/UX design, prototyping, developer handoff, and final production. The ideal candidate is someone who thinks beyond individual screens or visuals and can create scalable, reusable design systems while maintaining a consistent brand identity across multiple platforms.</p><p>Key Responsibilities</p><ul><li>Research competitors, industries, visual trends, and UX patterns using traditional and AI-assisted tools.</li><li>Develop concepts, visual directions, campaign ideas, and brand assets.</li><li>Build and maintain structured brand and design systems.</li><li>Create reusable Figma components, variables, templates, and responsive layouts.</li><li>Develop UI/UX designs and interactive prototypes for websites and digital products.</li><li>Use AI and rapid-prototyping tools to accelerate concept development and validation.</li><li>Produce high-quality marketing and brand assets using Adobe Photoshop and Illustrator.</li><li>Maintain visual consistency across websites, applications, presentations, social media, campaigns, and print materials.</li><li>Collaborate closely with software developers to ensure accurate design implementation.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Requirements</p><ul><li>Minimum 5 years of professional design experience.</li><li>Strong portfolio covering branding, graphic design, and UI/UX.</li><li>Advanced proficiency in Figma, including: Design systems, Variables and design tokens, Components and variants, Auto Layout, Responsive layouts, Prototyping, Developer handoff / Dev Mode</li><li>Strong understanding of UX principles and user-centered design.</li><li>Advanced proficiency in Adobe Photoshop and Illustrator.</li><li>Experience with AI-assisted creative tools such as Midjourney, Adobe Firefly, ChatGPT, or similar platforms.</li><li>Strong experience working with developers and translating designs into functional digital experiences.</li><li>Experience with rapid prototyping and design-to-code workflows is highly preferred.</li><li>Familiarity with Claude Code is strongly preferred.</li><li>Basic knowledge of HTML, CSS, JavaScript, React, or similar frontend technologies is an advantage.</li></ul><p>Additional Advantages</p><ul><li>Experience with any of the following would be considered a plus: After Effects, Premiere Pro, InDesign, Blender, 3D modelling and rendering, Product or architectural visualization, AI video and motion-generation tools.</li></ul>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply > Pass qualification(s) > Join a project > Complete tasks > Get paid<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $40\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p><strong>Mindrift<\/strong> connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $40\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<p>Aspire Software is looking for a Power BI Developer to join our team in Lebanon.</p> <p> <strong>Here is a little window into our company:</strong> Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <p> </p> <p>We are looking for a Power BI Developer to join our team and contribute to the development and enhancement of our business intelligence and reporting platform. The role will focus on designing, developing, and maintaining interactive Power BI dashboards and reports that enable clients to analyze their business performance, monitor KPIs, and make</p> <p>data-driven decisions.</p> <p>You will work closely with Product, Development, Data, and Business teams to translate business and reporting requirements into scalable, user-friendly Power BI solutions.</p> <p>Key Responsibilities</p> <ul> <li>Design, develop, and maintain Power BI dashboards and reports within the Lumina platform.</li> <li>Build and optimize Power BI data models, relationships, measures, and calculated columns.</li> <li>Work with large and complex datasets and ensure reports are accurate, performant, and scalable.</li> <li>Develop reporting solutions based on business requirements, including: KPI dashboards,</li> <li>Performance reports, Trend and comparison analysis, Market and brand analysis, Year-over-year and period comparisons</li> <li>Optimize Power BI reports and datasets to ensure good performance and efficient loading times.</li> <li>Work with the development team to integrate Power BI reporting into the Lumina application.</li> <li>Support the implementation of new reporting features and enhancements within Lumina.</li> <li>Collaborate with Product Managers and stakeholders to understand requirements and translate them into technical reporting solutions.</li> </ul> <p> </p><p><strong>Desired Candidate Profile</strong></p><ul> <li>2+ years of professional experience with Power BI development.</li> <li>Strong knowledge of Power BI Desktop and Power BI Service.</li> <li>Strong experience with Power BI data modeling.</li> <li>Good understanding of Power Query / M.</li> <li>Strong knowledge of data modeling concepts, including relationships, star schemas, dimensions, and fact tables.</li> <li>Experience working with SQL databases and writing SQL queries.</li> <li>Experience developing interactive dashboards and reports for business users.</li> <li>Strong analytical and problem-solving skills.</li> <li>Ability to understand business requirements and translate them into reporting solutions.</li> <li>Good understanding of KPI calculations and business reporting concepts.</li> <li>Ability to troubleshoot and optimize Power BI reports and data models.</li> </ul> <p> </p>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is NOT:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation:<\/h4>\n<p>Up to $150\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 30 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not:<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n<li>8+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation:<\/h4>\n<p>Up to $150\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 30 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation:<\/h4>\n<p>Up to $150\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 30 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Affiliate Manager will lead the planning, execution, and optimization of performance marketing campaigns across affiliate networks and direct publisher partnerships. This role is responsible for driving customer acquisition and revenue growth through data-driven strategies while ensuring accurate tracking, attribution, and campaign measurement. The ideal candidate will have hands-on experience managing both web and app-based performance campaigns, implementing tracking solutions, troubleshooting conversion discrepancies, and collaborating with internal and external stakeholders to deliver measurable business outcomes. Strong technical knowledge of Server-to-Server (S2S) postback integrations, web pixel implementation, Mobile Measurement Partners (MMPs), and analytics platforms is essential to ensure campaign scalability and reporting accuracy. The role requires experience managing campaigns across multiple commercial models, including Cost Per Install (CPI), Cost Per Lead (CPL), Cost Per Acquisition (CPA), Revenue Share (RevShare), Hybrid, and Cost Per Sale (CPS), while continuously optimizing performance against client KPIs and ROI objectives. Strong understanding of campaign models including: Cost Per Install (CPI), Cost Per Lead (CPL), Cost Per Acquisition (CPA), Cost Per Sale (CPS), Revenue Share (RevShare) Hands-on experience with Mobile Measurement Partners (MMPs) including: Adjust, AppsFlyer, Branch, Kochava Strong understanding of attribution models, click tracking, view-through attribution, and conversion measurement. Hands-on experience implementing and troubleshooting: Server-to-Server (S2S) Postback Integrations, Web Pixel Implementation, Conversion Pixels, First-party &amp; Third-party Tracking, SDK and Deep Linking concepts, Coupon Marketing Experience working with Google Tag Manager (GTM), Google Analytics 4 (GA4), CM360, campaign tracking parameters (UTMs), and attribution reporting. Ability to QA and troubleshoot tracking implementations using browser developer tools, network requests, and debugging tools. Experience reconciling conversions across affiliate platforms, MMPs, CRM systems, and advertiser reporting. Strong analytical skills with advanced Excel/Google Sheets and reporting tools such as Lookerstudio. Experience optimizing campaigns based on KPIs including CPI, CPL, CPA, ROAS, Revenue, and Conversion Rate. Strong understanding of fraud prevention, attribution windows, deduplication logic, and tracking validation. Ability to coordinate with product, Data &amp; analytics, ad operations, and client teams to ensure seamless campaign implementation. Excellent communication, stakeholder management, and negotiation skills. Experience in banking, e-commerce, Real estate, Automobile, lottery or lead generation verticals is preferred. Understanding of privacy regulations, consent management, and cookie-less measurement trends is an added advantage. Skills and Experience At WPP Media, we believe in the power of our culture and our people. It s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP &amp; WPP Media s shared core values: Be Extraordinary by Leading Collectively to Inspire transformational Creativity. Create an Open environment by Balancing People and Client Experiences by Cultivating Trust . Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise . 4+ years of experience in Affiliate Marketing or Performance Marketing. Proven experience managing affiliate networks, direct publishers, and agency partnerships. Experience managing both Web and App Performance Marketing campaigns . Life at WPP Media &amp; Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media &amp; WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>4+ years of experience in Affiliate Marketing or Performance Marketing.</li><li>Proven experience managing affiliate networks, direct publishers, and agency partnerships.</li><li>Experience managing both Web and App Performance Marketing campaigns.</li><li>Strong technical knowledge of Server-to-Server (S2S) postback integrations, web pixel implementation, Mobile Measurement Partners (MMPs), and analytics platforms.</li><li>Experience managing campaigns across multiple commercial models, including Cost Per Install (CPI), Cost Per Lead (CPL), Cost Per Acquisition (CPA), Revenue Share (RevShare), Hybrid, and Cost Per Sale (CPS).</li><li>Hands-on experience with Mobile Measurement Partners (MMPs) including: Adjust, AppsFlyer, Branch, Kochava.</li><li>Strong understanding of attribution models, click tracking, view-through attribution, and conversion measurement.</li><li>Hands-on experience implementing and troubleshooting: Server-to-Server (S2S) Postback Integrations, Web Pixel Implementation, Conversion Pixels, First-party &amp; Third-party Tracking, SDK and Deep Linking concepts, Coupon Marketing.</li><li>Experience working with Google Tag Manager (GTM), Google Analytics 4 (GA4), CM360, campaign tracking parameters (UTMs), and attribution reporting.</li><li>Ability to QA and troubleshoot tracking implementations using browser developer tools, network requests, and debugging tools.</li><li>Experience reconciling conversions across affiliate platforms, MMPs, CRM systems, and advertiser reporting.</li><li>Strong analytical skills with advanced Excel/Google Sheets and reporting tools such as Lookerstudio.</li><li>Experience optimizing campaigns based on KPIs including CPI, CPL, CPA, ROAS, Revenue, and Conversion Rate.</li><li>Strong understanding of fraud prevention, attribution windows, deduplication logic, and tracking validation.</li><li>Ability to coordinate with product, Data &amp; analytics, ad operations, and client teams to ensure seamless campaign implementation.</li><li>Excellent communication, stakeholder management, and negotiation skills.</li><li>Experience in banking, e-commerce, Real estate, Automobile, lottery or lead generation verticals is preferred.</li><li>Understanding of privacy regulations, consent management, and cookie-less measurement trends is an added advantage.</li></ul><p></p></section>

<p>Build production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does.</p><p>Tasks &amp; Responsibilities</p><ul><li>Design and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP.</li><li>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring.</li><li>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace).</li><li>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached.</li><li>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head.</li><li>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made.</li><li>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case.</li><li>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does.</li><li>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls.</li><li>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client.</li><li>Write modular infrastructure as code (Terraform) for AI workloads on AWS.</li><li>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship.</li></ul><p>Competencies</p><ul><li>Can explain to a client, in plain language, why an agent made the tool call it made</li><li>Comfortable debugging a production LLM failure under time pressure, not just in a notebook</li><li>Can wire an MCP server into an agent and debug why a tool call didn't fire</li></ul><p>Tools &amp; Certifications</p><ul><li>Strong Python engineering; comfort with AWS</li><li>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design</li><li>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases</li><li>Nice to have: AWS Certified Machine Learning Engineer Associate, AWS Certified Generative AI Developer Professional, AWS Certified Solutions Architect Associate or Professional, AWS Certified Developer Associate, AWS Certified Security Specialty (relevant given our compliance posture)</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Master's degree in Computer Science or equivalent</p><p>Previous experience building and shipping production ML/AI systems</p><p>Fluent in English and Arabic</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Senior Graphic Designer <p>Senior Graphic Designer/ UX/UI Designer&nbsp;</p><br> <p><strong>Location:</strong> Lebanon<br><strong>Employment Type:</strong> Full-time, Permanent<br><strong>Work Model:</strong> Hybrid – primarily remote with office attendance when required<br><strong>Working Schedule:</strong> Monday to Saturday, 9:00 AM – 5:00 PM<br></p><br> About the Company <p>Our client is a growing company operating in a dynamic, technology-driven environment, with a strong focus on building and maintaining a consistent brand presence across digital products, marketing channels, and customer touchpoints.</p><br> <p>They are looking for a multidisciplinary designer who can combine strong visual design capabilities with UI/UX expertise, modern AI-assisted workflows, design systems, and rapid prototyping.</p><br> Role Overview <p>The Senior Graphic Designer / UI/UX Designer will be responsible for taking projects from initial research and concept development through branding, UI/UX design, prototyping, developer handoff, and final production.</p><br> <p>The ideal candidate is someone who thinks beyond individual screens or visuals and can create scalable, reusable design systems while maintaining a consistent brand identity across multiple platforms.</p><br> Key Responsibilities <ul><li>Research competitors, industries, visual trends, and UX patterns using traditional and AI-assisted tools.</li><li>Develop concepts, visual directions, campaign ideas, and brand assets.</li><li>Build and maintain structured brand and design systems.</li><li>Create reusable Figma components, variables, templates, and responsive layouts.</li><li>Develop UI/UX designs and interactive prototypes for websites and digital products.</li><li>Use AI and rapid-prototyping tools to accelerate concept development and validation.</li><li>Produce high-quality marketing and brand assets using Adobe Photoshop and Illustrator.</li><li>Maintain visual consistency across websites, applications, presentations, social media, campaigns, and print materials.</li><li>Collaborate closely with software developers to ensure accurate design implementation.</li></ul> Requirements <ul><li>Minimum <strong>5 years of professional design experience</strong>.</li><li>Strong portfolio covering <strong>branding, graphic design, and UI/UX</strong>.</li><li>Advanced proficiency in <strong>Figma</strong>, including:<ul><li>Design systems</li><li>Variables and design tokens</li><li>Components and variants</li><li>Auto Layout</li><li>Responsive layouts</li><li>Prototyping</li><li>Developer handoff / Dev Mode</li></ul></li><li>Strong understanding of UX principles and user-centered design.</li><li>Advanced proficiency in <strong>Adobe Photoshop and Illustrator</strong>.</li><li>Experience with AI-assisted creative tools such as <strong>Midjourney, Adobe Firefly, ChatGPT, or similar platforms</strong>.</li><li>Strong experience working with developers and translating designs into functional digital experiences.</li><li>Experience with rapid prototyping and design-to-code workflows is highly preferred.</li><li>Familiarity with <strong>Claude Code</strong> is strongly preferred.</li><li>Basic knowledge of HTML, CSS, JavaScript, React, or similar frontend technologies is an advantage.</li></ul> Additional Advantages <p>Experience with any of the following would be considered a plus:</p><br> <ul><li>After Effects</li><li>Premiere Pro</li><li>InDesign</li><li>Blender</li><li>3D modelling and rendering</li><li>Product or architectural visualization</li><li>AI video and motion-generation tools</li></ul> <br> <br> </div>

<p>Build production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does.</p><p><strong>Tasks &amp; Responsibilities</strong></p><ul><li>Design and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP.</li><li>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring.</li><li>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace).</li><li>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached.</li><li>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head.</li><li>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made.</li><li>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case.</li><li>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does.</li><li>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls.</li><li>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client.</li><li>Write modular infrastructure as code (Terraform) for AI workloads on AWS.</li><li>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship.</li></ul><p><strong>Competencies</strong></p><ul><li>Can explain to a client, in plain language, why an agent made the tool call it made</li><li>Comfortable debugging a production LLM failure under time pressure, not just in a notebook</li><li>Can wire an MCP server into an agent and debug why a tool call didn't fire</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Education, Experience &amp; Language</h2><ul><li>Master's degree in Computer Science or equivalent</li><li>Previous experience building and shipping production ML/AI systems</li><li>Fluent in English and Arabic</li></ul><h2>Tools &amp; Certifications</h2><ul><li>Strong Python engineering; comfort with AWS</li><li>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design</li><li>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases</li><li>Nice to have: AWS Certified Machine Learning Engineer Associate, AWS Certified Generative AI Developer Professional, AWS Certified Solutions Architect Associate or Professional, AWS Certified Developer Associate, AWS Certified Security Specialty (relevant given our compliance posture)</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for an Intermediate Software 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> Role Overview We're looking for a Full Stack Developer who's equally comfortable maintaining and extending legacy .<br>NET applications as they are building modern React frontends and cloud-native services.<br> You'll work across the full stack from SQL Server stored procedures to PostgreSQL schemas to React components and use AI tools as a natural part of how you work every day.<br> This is a hands-on engineering role with real ownership.<br> You'll collaborate closely with the product and QA teams, contribute to architecture decisions, and help the team navigate the ongoing transition from legacy systems to modern infrastructure.<br> What You'll Do Maintain, debug, and extend legacy .<br>NET Framework applications and their SQL Server databases Build new features in our modern stack: React frontends backed by .<br>NET Core or Node APIs with PostgreSQL Design and optimize SQL Server and PostgreSQL schemas, queries, and stored procedures Use AI coding tools (GitHub Copilot, Claude, Cursor, or similar) to accelerate development and code review Write clean, testable code and participate in code reviews Work with QA to ensure quality across both legacy and modern surfaces Document technical decisions and contribute to internal knowledge sharing - Solid experience with nodeJS and typescript/javascript + AI - Strong SQL Server skills: schema design, stored procedures, query optimization, and migrations - Comfortable reading, maintaining, and refactoring older codebases without breaking things Modern Stack - Production experience with React (hooks, component architecture, state management) - Familiarity with .<br>NET Core / .<br>NET 6+ or equivalent modern backend frameworks - PostgreSQL experience: schema design, indexing, query tuning, and ORM usage (Entity Framework or similar) - Understanding of REST API design and integration patterns AI-Assisted Development - Active, daily use of AI coding assistants (GitHub Copilot, Claude, Cursor, or similar) - Comfortable prompting AI tools effectively for code generation, debugging, refactoring, and documentation - Able to critically evaluate AI-generated code knowing when to trust it, when to fix it, and when to throw it out - Uses AI to move faster without sacrificing quality or understanding General - Strong problem-solving instincts and attention to detail - Good communication you can explain technical trade-offs to non-technical stakeholders - Comfortable working in environments where legacy and modern systems coexist Nice to Have - Experience with cloud platforms (Azure, AWS, or GCP) - Familiarity with DevOps practices: CI/CD pipelines, containerization (Docker), infrastructure as code - Background in regulated or government-adjacent industries - Experience with TypeScript</span> </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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for an Infrastructure 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 We are looking for a hands-on infrastructure specialist to own, secure and grow the AWS platform behind our software for the UK housing sector.<br> You will keep customer environments reliable and well documented, build new environments as code, and be the person our customers and auditors trust with the difficult infrastructure questions.<br> This is first and foremost an infrastructure role.<br> You will own our AWS estate end to end, from networking, compute and data stores through to identity, monitoring, backups and cost, across shared and customer-dedicated environments.<br> You will work closely with our DevOps engineer, who leads on CI/CD, so that pipelines and environments evolve together.<br> You will also build.<br> When a customer needs a dedicated environment you will stand it up from our Terraform templates, connect it to monitoring, identity and backup, hand it over with clear documentation and manage it through its life.<br> You will be comfortable writing code, whether that is Terraform modules, serverless functions or automation scripts, because at SDS infrastructure and product are built by the same team.<br> Finally, you will be the link between the infrastructure and the people who depend on it: our developers, our ISO 27001 and Cyber Essentials auditors, and the IT and security teams of our customers, particularly enterprise housing providers.<br> Key Responsibilities Own and operate: keep every environment healthy, patched, backed up and recoverable across Linux and Windows Server, and administer MongoDB for availability and performance.<br> Build as code: create and evolve environments through Terraform, treat drift as a defect, and move us towards hardened, repeatable builds.<br> Secure the platform: own IAM and least privilege, secrets and certificates, encryption, logging and security tooling, and act on what they tell you.<br> Make it observable: build the monitoring, alerting and dashboards that let us find problems before customers do, and own infrastructure incident response.<br> Support compliance: keep our ISO 27001 and Cyber Essentials evidence, asset registers and diagrams current, and present them to auditors and customers on request.<br> Automate and develop: remove manual work with scripts and serverless automation, and contribute to our codebase where infrastructure and application meet.<br> Document and coach: own the infrastructure documentation set, define the standards the team follows, and help developers work safely with the platform.<br> Work with customers: join onboarding and procurement conversations, understand hosting, identity and security requirements, and turn them into clear environment designs.<br> Several years running production infrastructure in AWS, with real depth in networking, compute, IAM, storage and monitoring Strong Terraform: writing modules, managing state and building environments from code Confident administering both Linux and Windows Server Hands-on MongoDB operational experience (replica sets, backups, performance, upgrades) A solid coding background in at least one of Python, PowerShell, Bash or C# / .<br>NET, and the habit of automating anything you do twice Practical understanding of security controls and what ISO 27001 and Cyber Essentials expect of an infrastructure team Clear written documentation and the discipline to keep it current The confidence to explain technical decisions plainly to customers, auditors and developer Desirable: AWS certification such as Solutions Architect, SysOps Administrator or Security Specialty MongoDB, Linux or Microsoft server certifications Experience with an identity provider and SSO protocols (SAML, OIDC, SCIM) Containers, orchestration or serverless design Experience hosting for enterprise or public sector customers, including supplier assurance and data residency Cost optimisation and FinOps practice Knowledge of the UK housing sector</span> </div>