وظائف مهندس مواد

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Do you want to love what you do at work?<br> Do you want to make a difference, an impact, transform people's lives?<br> Do you want to work with a team that believes in disrupting the normal, boring, and average?<br> If yes, then this is the job you're looking for.<br> UXBERT Labs is one of the leading digital and user experience design agencies in the GCC, working with top regional and international brands such as STC, Amazon, Gucci, and more.<br> As part of the Supertech Group—which also includes Hala Yalla, Saudi's #1 private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA—we are continuously expanding our innovation footprint.<br> Responsibilities: CI/CD &amp; Automation: Design, implement, and manage robust CI/CD pipelines for Node.<br>js and React applications using GitHub Actions and Bitbucket Pipelines across Dev, Staging, and Production.<br> Infrastructure as Code (IaC): Maintain and scale cloud infrastructure using Terraform (or CloudFormation).<br> Containerization &amp; Orchestration: Containerize applications using Docker and orchestrate using Kubernetes (optional) / Excellent experience working on Kubernetes clusters (GKE/AKS).<br> Monitoring &amp; Observability: Monitor system health, security, and performance.<br> Solid experience with New Relic, Datadog, and APM, setting up APM cadence, APM alerts, and rules and policies for support and disaster management.<br> Cloud &amp; Networking: Excellent experience with cloud-based VPC and networking within load balancing and orchestration.<br> Future-Proofing: Ability to learn fast, understand the world of LLM, complex CI/CD setups in the future, such as AI machine learning and AI coding.<br> Fully remote role (must align with KSA working hours).<br> Opportunity to work on high-impact Saudi government and enterprise projects.<br> Collaborative culture with strong design and engineering teams.<br> Competitive salary.<br> Professional development budget for certifications and training.<br> Development &amp; Infrastructure: Solid at quickly setting up servers in Node.<br>js, whitelisting IPs and providing Docker and secure environments for developers, production and testers.<br> Coding Background: 7+ years of DevOps experience across cloud platforms.<br> An engineering background in PHP or a strong programming background would be beneficial; solid JavaScript or Python is a must.<br> Cloud &amp; Caching Expertise: Proficiency with GCP and AWS (must have experience in both).<br> Must be solid in CDNs, CloudFlare, configuration of complex caching in Redis and more.<br> GCP certified would be very, very advantageous as Saudi prefer to work with GCP.<br> Database &amp; Scaling: Understanding of database setup, high scaling, high traffic sites in CloudFlare and without - complex setups of database optimisation, DFD, migration.<br> Modern Workflows: Experience with Vercel for front-end deployment workflows.<br> Environment Familiarity: Familiarity with Node.<br>js environments, Linux, and monitoring tools.<br> AI Integration: All engineers must be using AI vibe coding as part of their day to day work (Claude, Grok, ChatGPT).<br></span> </div>

<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>Description</h4> <p>Syarah is on a mission to change how people buy their cars in Saudi and the Middle East. We offer buyers an end-to-end digital car buying experience where they can buy their next car from the comfort of their living rooms. Under the hood, we build systems to manage sourcing of cars, inspection, photography, merchandising, reconditioning, financing, insurance, shipping and many more. Our goal is to turn car buying into an experience of delight, comfort and peace of mind.</p> <p>We are on the lookout for ambitious, competitive, growth-minded professionals to help us continue to harness technology to delight our customers and achieve our ambitious growth objectives in the auto sector.</p> <p>All Syarah employees are expected to work in accordance with Syarah core values: Tolerance, Transparency, Respect, Integrity and Positivity.</p> <h4>Responsibilities:</h4> <ul> <li>Working closely with engineering, product and other business teams to communicate problem impacts and to understand business requirements.</li> <li>Strong knowledge of software testing principles and techniques, verification and validation techniques, and defect management.</li> <li>Defining the scope of testing within the context of each release/delivery.</li> <li>Identifies and analyzes issues, bugs, defects, and other problems, particularly when problems recur in multiple products; recommends and facilitates solutions to these issues.</li> <li>Maintain and run automation scripts for new functionality and regression testing.</li> <li>Write and implement automation scripts for API, Mobile, and Web.</li> </ul> <h4>Requirements</h4> <ul> <li>Good knowledge of software QA methodologies, tools and processes.</li> <li>Identify, troubleshoot, and document issues thoroughly during bugs tracking.</li> <li>Excellent analytical, logical and problem-solving skills.</li> <li>Conduct all types of testing [Smoke Test, Ad-hoc test, System test, Integration test, etc.].</li> <li>Good experience in APIs testing using tools such as Postman, Soap UI, Katalon.</li> <li>Familiar with SQL queries.</li> <li>Good experience in test frameworks such as Selenium or Appium.</li> <li>Good experience developing automated UI and API tests.</li> <li>Experience with web testing elements such as HTML, CSS, XPath, etc.</li> <li>Ability to work in a fast-paced environment where team collaboration and personal pride in quality of work are highly valued.</li> </ul> <h4>Education and Experience:</h4> <ul> <li>BS/MS degree in Computer Science, Engineering or a related subject.</li> <li>3+ years of progressive professional experience in Quality Control and Testing.</li> <li>2+ years of experience writing automated tests, including integration, API, Mobile, Web and Performance.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Syarah is on a mission to change how people buy their cars in Saudi and the Middle East. We offer buyers an end-to-end digital car buying experience where they can buy their next car from the comfort of their living rooms. Under the hood, we build systems to manage sourcing of cars, inspection, photography, merchandising, reconditioning, financing, insurance, shipping and many more. Our goal is to turn car buying into an experience of delight, comfort and peace of mind.</p> <p>We are on the lookout for ambitious, competitive, growth-minded professionals to help us continue to harness technology to delight our customers and achieve our ambitious growth objectives in the auto sector.</p> <p>All Syarah employees are expected to work in accordance with Syarah core values: Tolerance, Transparency, Respect, Integrity and Positivity.</p> <h4>Responsibilities:</h4> <ul> <li>Working closely with engineering, product and other business teams to communicate problem impacts and to understand business requirements.</li> <li>Strong knowledge of software testing principles and techniques, verification and validation techniques, and defect management.</li> <li>Defining the scope of testing within the context of each release/delivery.</li> <li>Identifies and analyzes issues, bugs, defects, and other problems, particularly when problems recur in multiple products; recommends and facilitates solutions to these issues.</li> <li>Maintain and run automation scripts for new functionality and regression testing.</li> <li>Write and implement automation scripts for API, Mobile, and Web.</li> </ul> <h4>Requirements</h4> <ul> <li>Good knowledge of software QA methodologies, tools and processes.</li> <li>Identify, troubleshoot, and document issues thoroughly during bugs tracking.</li> <li>Excellent analytical, logical and problem-solving skills.</li> <li>Conduct all types of testing [Smoke Test, Ad-hoc test, System test, Integration test, etc.].</li> <li>Good experience in APIs testing using tools such as Postman, Soap UI, Katalon.</li> <li>Familiar with SQL queries.</li> <li>Good experience in test frameworks such as Selenium or Appium.</li> <li>Good experience developing automated UI and API tests.</li> <li>Experience with web testing elements such as HTML, CSS, XPath, etc.</li> <li>Ability to work in a fast-paced environment where team collaboration and personal pride in quality of work are highly valued.</li> </ul> <h4>Education and Experience:</h4> <ul> <li>BS/MS degree in Computer Science, Engineering or a related subject.</li> <li>3+ years of progressive professional experience in Quality Control and Testing.</li> <li>2+ years of experience writing automated tests, including integration, API, Mobile, Web and Performance.</li> </ul></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><\/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 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 Effort estimate Tasks for this project are estimated to take 20 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 $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Syarah is on a mission to change how people buy their cars in Saudi and the Middle East.<br> We offer buyers an end-to-end digital car buying experience where they can buy their next car from the comfort of their living rooms.<br> Under the hood, we build systems to manage sourcing of cars, inspection, photography, merchandising, reconditioning, financing, insurance, shipping and many more.<br> Our goal is to turn car buying into an experience of delight, comfort and peace of mind.<br> We are on the lookout for ambitious, competitive, growth-minded professionals to help us continue to harness technology to delight our customers and achieve our ambitious growth objectives in the auto sector.<br> All Syarah employees are expected to work in accordance with Syarah core values: Tolerance, Transparency, Respect, Integrity and Positivity.<br> Responsibilities: Working closely with engineering, product and other business teams to communicate problem impacts and to understand business requirements.<br> Strong knowledge of software testing principles and techniques, verification and validation techniques, and defect management.<br> Defining the scope of testing within the context of each release/delivery.<br> Identifies and analyzes issues, bugs, defects, and other problems, particularly when problems recur in multiple products; recommends and facilitates solutions to these issues.<br> Maintain and run automation scripts for new functionality and regression testing.<br> Write and implement automation scripts for API , Mobile , and Web.<br> Good knowledge of software QA methodologies, tools and processes Identify, troubleshoot, and document issues thoroughly during bugs tracking.<br> Excellent analytical, logical and problem-solving skills.<br> Conduct all types of testing [Smoke Test, Ad-hoc test, System test, Integration test.<br>.etc]. Good Experience in API's testing using tools such as (Postman, Soap UI, Katalon).<br> Familiar with SQL Queries Good experience in test frameworks such as Selenium or Appium.<br> Good Experience developing automated UI and API tests Experience with Web testing elements such as HTML, CSS, XPath, etc.<br> Ability to work in a fast-paced environment where team collaboration and personal pride in quality of work are highly valued.<br> Education and Experience: BS/MS degree in Computer Science, Engineering or a related subject 3+ years of progressive professional experience in Quality Control and Testing.<br> 2+ years of experience writing automated tests, including integration, API, Mobile, Web and Performance.<br></span> </div>

<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 Effort estimate Tasks for this project are estimated to take 20 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 $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<p><h4>Description</h4> <p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p> <p>If yes, then this is the job you're looking for. UXBERT Labs is one of the leading digital and user experience design agencies in the GCC, working with top regional and international brands such as STC, Amazon, Gucci, and more. As part of the Supertech Group—which also includes Hala Yalla, Saudi's number one private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA—we are continuously expanding our innovation footprint.</p> <h4>Responsibilities:</h4> <ul> <li><strong>CI/CD & Automation:</strong> Design, implement, and manage robust CI/CD pipelines for Node.js and React applications using GitHub Actions and Bitbucket Pipelines across development, staging, and production environments.</li> <li><strong>Infrastructure as Code (IaC):</strong> Maintain and scale cloud infrastructure using Terraform or CloudFormation.</li> <li><strong>Containerization & Orchestration:</strong> Containerize applications using Docker and orchestrate using Kubernetes (optional). Excellent experience working on Kubernetes clusters such as GKE or AKS is a plus.</li> <li><strong>Monitoring & Observability:</strong> Monitor system health, security, and performance. Solid experience with New Relic, Datadog, and APM, including setting up APM cadence, alerts, and rules and policies for support and disaster management.</li> <li><strong>Cloud & Networking:</strong> Excellent experience with cloud-based VPC and networking within load balancing and orchestration.</li> <li><strong>Future-Proofing:</strong> Ability to learn fast and understand emerging technologies such as large language models, complex CI/CD setups in the future, including AI machine learning and AI coding.</li> </ul> <h4>Requirements</h4> <ul> <li><strong>Development & Infrastructure:</strong> Strong skills in quickly setting up servers in Node.js, whitelisting IPs, and providing Docker and secure environments for developers, production, and testers.</li> <li><strong>Coding Background:</strong> Seven or more years of DevOps experience across cloud platforms. An engineering background in PHP or a strong programming background is beneficial; solid JavaScript or Python skills are a must.</li> <li><strong>Cloud & Caching Expertise:</strong> Proficiency with both GCP and AWS is required. Must have solid experience with CDNs, CloudFlare, and configuration of complex caching in Redis and more. GCP certification is highly advantageous as Saudi Arabia prefers to work with GCP.</li> <li><strong>Database & Scaling:</strong> Understanding of database setup, high scaling, and high traffic sites both with and without CloudFlare. Experience with complex database optimization, data flow diagrams, and migration.</li> <li><strong>Modern Workflows:</strong> Experience with Vercel for front-end deployment workflows.</li> <li><strong>Environment Familiarity:</strong> Familiarity with Node.js environments, Linux, and monitoring tools.</li> <li><strong>AI Integration:</strong> Engineers must incorporate AI-assisted coding tools such as Claude, Grok, or ChatGPT as part of their daily work.</li> </ul> <h4>Benefits</h4> <ul> <li>Fully remote role (must align with Saudi Arabia working hours).</li> <li>Opportunity to work on high-impact Saudi government and enterprise projects.</li> <li>Collaborative culture with strong design and engineering teams.</li> <li>Competitive salary.</li> <li>Professional development budget for certifications and training.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Key Responsibilities • Provision and administer approved cloud resources, platform services and access configurations.<br> • Monitor workloads, performance, availability and utilisation and respond to operational events.<br> • Apply approved security baselines, identity controls, tagging, logging and configuration standards.<br> • Support hybrid connectivity and dependencies with on-premises infrastructure, networks and applications .<br> • Provide cost, utilisation and optimisation analysis; implementation remains subject.<br> . • Maintain cloud inventories, diagrams, procedures, configuration records and recovery documentation.<br> • Support incident, problem and change management and contribute to root-cause analysis.<br> • Assist with TDRA-hosted or other approved environments once the target model and access are confirmed.<br> Minimum Experience and Qualifications • Minimum 5 years of relevant cloud engineering and administration experience.<br> • Strong practical experience with Microsoft Azure and/or AWS in enterprise environments.<br> • Knowledge of cloud networking, identity, monitoring, security configuration, backup and cost management.<br> • Azure Administrator/Architect or AWS Solutions Architect certification preferred.<br> • Experience working through controlled privileged-access and change-management procedures.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Analyze and troubleshoot production issues impacting live hiring events.</p> <p>Perform functional, regression, and end-to-end testing for hiring event workflows.</p> <p>Validate APIs and integrations using Postman.</p> <p>Reproduce, document, and track defects using Jira.</p> <p>Collaborate with Client Support, GTM, Product, and Engineering teams to resolve client issues.</p> <p>Monitor production systems and support incident triage and validation activities.</p> <p>Validate backend data using SQL and troubleshoot data inconsistencies.</p> <p>Support testing for architecture changes, integrations, and new platform releases.</p> <p>Investigate frontend and network-related issues using browser developer tools.</p> <p>Ensure timely issue resolution while meeting SLA expectations.</p> <p>Participate in Agile/Scrum ceremonies, sprint testing, and release validation processes.</p> <p>Contribute to continuous improvements in testing quality, workflows, and platform stability.</p> <p><strong>What You’ll Need</strong></p> <ul> <li>Bacheloru2019s degree in Computer Science, Software Engineering, or related fields.</li> <li>2+ years of experience in QA, software testing, or production support environments.</li> <li>Strong experience with manual testing and end-to-end workflow validation.</li> <li>Experience with regression testing and release validation activities.</li> <li>Hands-on experience using Postman for API testing and response validation.</li> <li>Experience testing REST APIs and validating backend integrations/services.</li> <li>Strong SQL skills for backend data validation and troubleshooting.</li> <li>Experience documenting defects, test results, and workflow issues using Jira.</li> <li>Strong understanding of business workflows, product functionality, and user journeys.</li> <li>Ability to design and execute effective test cases and validation scenarios.</li> <li>Experience working in Agile/Scrum environments and cross-functional teams.</li> <li>Good communication, collaboration, and analytical skills.</li> <li>Experience with WCAG standards and accessibility testing tools.</li> <li>Ability to work across multiple U.S. time zones (PST, MST, CST, EST).</li> <li>Experience using Datadog for monitoring and troubleshooting.</li> <li>Familiarity with Kafka and asynchronous workflow validation.</li> <li>Exposure to MongoDB or other NoSQL databases.</li> <li>Understanding of CI/CD pipelines, deployment processes, and release validation.</li> <li>Experience working with SaaS or customer-facing platforms.</li> <li>Awareness or knowledge of IT security best practices as defined by ISO/SOC or similar.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><br></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Develop, maintain, and enhance customer-facing web applications and digital platforms. </p> <p>Build and optimize backend systems and frontend interfaces using modern development frameworks and technologies. </p> <p>Create internal tools and dashboards to support design, operations, and business performance monitoring. </p> <p>Collaborate with cross-functional teams including Product, Design, Operations, and Leadership to deliver impactful product features. </p> <p>Contribute to the development and launch of new mobile applications and digital experiences. </p> <p>Work with cloud infrastructure and deployment environments, including AWS services and related technologies. </p> <p>Support the continuous improvement of system performance, scalability, and user experience. </p> <p>Participate in technical discussions, architecture planning, and product decision-making processes. </p> <p>Deliver high-quality code while balancing speed, scalability, and business priorities within a startup environment. </p> <p>Communicate technical concepts effectively with both technical and non-technical stakeholders. </p> <p>Proactively identify challenges, recommend solutions, and take ownership of product and technical outcomes. </p> <p>Collaborate closely with Saudi-based teams and support cross-regional business initiatives.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><b>Qualifications &amp; Requirements:</b></p> <ul> <li>4+ years of professional software engineering experience within fast-paced or startup environments. </li> <li>Strong full-stack development experience with frontend and backend technologies. </li> <li>Experience building scalable web applications, internal tools, and customer-facing digital products. </li> <li>Product-oriented mindset with the ability to work effectively in ambiguous and rapidly changing environments. </li> <li>Strong problem-solving skills with the ability to work independently and take ownership of projects. </li> <li>Fluent in both Arabic and English with strong communication and collaboration skills. </li> <li>Based in Amman, Jordan, with the ability to work primarily from the office environment. </li> <li>Experience with Ruby on Rails, Next.js, or similar modern frameworks is highly preferred. </li> <li>Familiarity with AWS cloud infrastructure including EC2, S3, and RDS is considered an advantage. </li> <li>Experience within e-commerce, marketplaces, PropTech, or technology-driven businesses is preferred. </li> <li>Strong adaptability, learning agility, and willingness to contribute beyond core responsibilities in a startup setting. </li> <li>Ability to explain technical concepts and decisions clearly to cross-functional teams and stakeholders.</li> </ul><p></p></section>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description</h4> <h4>Key responsibilities</h4> <h4>Technical presales support</h4> <p>Collaborate with sales teams to understand customer business and technical requirements in KSA and UAE.<br> Design and propose suitable technical solutions aligned with customer needs.<br> Prepare technical proposals, solution architectures, and statements of work.<br> Conduct product presentations, demonstrations, and proof-of-concept (POC) sessions.<br> Respond to RFPs, RFIs, and RFQs with technical and functional inputs.<br> Assist in effort estimation, BOM preparation, and solution sizing.</p> <h4>Customer engagement</h4> <p>Participate in customer meetings, workshops, and discovery sessions.<br> Explain technical concepts clearly to both technical and non-technical stakeholders.<br> Build trusted relationships with customers, partners, and internal teams.<br> Address customer technical concerns and provide recommendations.</p> <h4>Solution design & documentation</h4> <p>Prepare high-level and low-level solution designs when required.<br> Create architecture diagrams, implementation approaches, and integration workflows.<br> Ensure proposed solutions follow best practices, scalability, security, and compliance standards.</p> <h4>Collaboration</h4> <p>Coordinate with engineering, delivery, product, and support teams.<br> Work closely with project managers and solution architects during transition to delivery.<br> Support continuous improvement of presales assets, templates, and demo environments.</p> <h4>Market & product knowledge</h4> <p>Stay updated on industry trends, competitor solutions, and emerging technologies.<br> Maintain strong understanding of company products, services, and capabilities.</p> <h4>Required qualifications</h4> <p>Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.<br> 3–6 years of experience in presales, solution engineering, systems engineering, or technical consulting.<br> Experience in preparing technical proposals and responding to RFPs.<br> Strong understanding of enterprise IT solutions, cloud technologies, integrations, and software architectures.<br> Excellent communication and presentation skills.<br> Ability to work in a fast-paced, customer-facing environment.</p> <h4>Preferred skills</h4> <p>Experience with cloud platforms such as Azure, AWS, or Google Cloud.<br> Knowledge of APIs, integrations, databases, and enterprise applications.<br> Familiarity with cybersecurity, infrastructure, data, or AI solutions is a plus.<br> Experience with diagramming and documentation tools (Visio, Draw.io, etc.).<br> Relevant technical certifications are advantageous.</p> <h4>Soft skills</h4> <p>Strong analytical and problem-solving abilities.<br> Customer-oriented mindset.<br> Strong teamwork and collaboration skills.<br> Ability to manage multiple opportunities simultaneously.<br> Good negotiation and stakeholder management skills.</p> <h4>KPIs / success metrics</h4> <ul> <li>Quality and timeliness of technical proposals.</li> <li>Win rate contribution.</li> <li>Customer satisfaction during presales engagements.</li> <li>Accuracy of solution sizing and estimations.</li> <li>Number of successful demos and POCs delivered.</li> </ul></p><p></p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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 \u2192 Pass qualification(s) \u2192 Join a project \u2192 Complete tasks \u2192 Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>