وظائف مطور قواعد بيانات - عمّان الأردن

<p><h4>Description</h4> <p>BlackStone eIT is looking for an experienced and motivated technical .NET team lead to join our dynamic team. In this leadership role, you will guide a team of developers in creating high-quality software applications with a focus on .NET technologies. You will be responsible for ensuring best practices in development and architecture while also fostering a collaborative and innovative work environment. If you're passionate about technology and enjoy mentoring others, this is the perfect opportunity for you!</p> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, software engineering, or a related field.</li> <li>Minimum of 10 years of hands-on software development experience with a strong focus on .NET technologies.</li> <li>At least 3 years of experience in a leadership or team lead role.</li> <li>Strong proficiency in .NET Core, ASP.NET, C#, and Angular frameworks.</li> <li>Understanding of cloud platforms such as Microsoft Azure and experience with cloud development practices.</li> <li>Proficient in designing and implementing scalable web applications, APIs, and microservices.</li> <li>Experience with SQL Server and other database technologies.</li> <li>Familiarity with Agile/Scrum methodologies and software development lifecycle (SDLC).</li> <li>Excellent communication skills and the ability to collaborate effectively with cross-functional teams.</li> <li>Strong problem-solving skills and a proactive approach to challenges.</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for an experienced Senior Backend Drupal Engineer who will be responsible for working closely with front-end developers and customers to ensure an effective, visually appealing and intuitive implementation.</p><p>Developing new web applications built primarily using the Drupal platform, writing custom modules, identifying quality community modules, and architecting new Drupal bids.</p><p>Work with designers and other developers to implement interactive web solutions and solve complex interaction challenges using PHP, HTML, JavaScript, CSS</p><p>Setting up the new Drupal and understanding the current CMS platform and based on that provide and develop the solution</p><p>We will be working on an existing SEO pragmatic platform and other Drupal applications.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>4-6 years PHP web development experience with minimum Drupal Development in the last three years</li><li>Should be working with Drupal 8 and above (Development and Administration) &amp; Developing custom Drupal modules and themes</li><li>Firm grasp of Git-based source control, Drupal Restful web services &amp; Competent with MySQL-based database concepts</li><li>Expertise in authoring and extending Drupal modules &amp; Competent in web services integrations (REST/SOAP)</li><li>Thorough experience in leveraging Drupal s hook &amp; API systems, views, entities, taxonomies, and other site-building blocks</li><li>Comprehensive knowledge of Drupal s feature set and configuration system</li><li>Contributions to the open-source community considered a plus</li><li>Experience with CSS preprocessors like SASS/LESS</li><li>Drush and Docker is a huge plus</li><li>Experience in e-commerce integrations/implementations is a huge plus</li><li>Independent, self-motivated, Fluent in English, written and spoken</li><li>Proven track record of always learning and growing</li><li>Experience with caching and scaling techniques</li></ul><p></p></section>

<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"> <p>VirtuStaff is seeking a hands-on Full-Stack Software Engineer to join its Jordan-based pre-launch team and progressively bring the development and technical management of its SaaS platform in-house.</p><p>The successful candidate will initially work closely with VirtuStaff’s third-party technical team to complete a structured handover of the existing codebase, architecture, database, cloud environment, integrations and release processes. The engineer will gradually assume responsibility for resolving software defects, modifying workflows, developing new features, managing integrations, supporting releases and maintaining the platform’s day-to-day technical performance.</p><p>The role also includes supporting and improving VirtuStaff’s AI-enabled features, including candidate screening, profile analysis, candidate-to-role matching and workflow automation. These are practical product-level AI functions rather than advanced artificial-intelligence research. The engineer should be comfortable integrating AI services, managing prompts and structured outputs, troubleshooting AI-related workflows and working with external AI APIs or models.</p><p>The engineer will contribute across VirtuStaff’s candidate, client, HR, attendance, training, CRM and administrative systems while collaborating with the Founders, Operations, HR, Sales, Marketing and external technical partners.</p><p><br></p><p><b>Key Responsibilities</b></p><ul><li>Complete a structured handover from the existing third-party development team.</li><li>Understand and document the platform’s front end, back end, database, architecture, infrastructure and integrations.</li><li>Develop, test and release new platform features.</li><li>Modify existing candidate, client, HR, attendance, training and administrative workflows.</li><li>Diagnose and directly fix front-end, back-end, API, integration and database-related defects.</li><li>Gradually assume responsibility for routine platform development and maintenance.</li><li>Maintain and enhance AI-enabled candidate screening and matching workflows.</li><li>Integrate external AI APIs, language models or approved AI services into the platform.</li><li>Configure and improve prompts, structured outputs, validation rules and AI workflow logic.</li><li>Investigate inaccurate, missing, delayed or inconsistent AI-screening and matching results.</li><li>Work with HR and Management to translate approved candidate-matching rules into technical workflows.</li><li>Monitor AI-service errors, response quality, usage and integration performance.</li><li>Maintain safeguards so AI recommendations do not automatically replace approved human decisions.</li><li>Build and maintain CRM, email, analytics, payment, notification and third-party integrations.</li><li>Review application logs, browser errors, API responses and database records.</li><li>Maintain source code using Git, appropriate branching, version control and release documentation.</li><li>Support cloud environments, deployments, monitoring, backups and technical configuration.</li><li>Conduct UAT, regression testing, code reviews and post-release checks.</li><li>Apply appropriate authentication, permissions, privacy and data-security controls.</li><li>Maintain technical documentation, system diagrams and deployment instructions.</li><li>Coordinate with external developers when additional expertise or capacity is required.</li><li>Recommend improvements to platform security, reliability, performance and scalability.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Three to six years of professional full-stack software-development experience.</li><li>Experience developing and maintaining production web applications.</li><li>Strong front-end and back-end programming capability.</li><li>Experience working with relational databases and SQL.</li><li>Strong API, webhook and third-party integration experience.</li><li>Experience using Git, repositories, branches, pull requests and release processes.</li><li>Strong browser, server, database and integration debugging ability.</li><li>Familiarity with cloud hosting, deployment environments, monitoring and application logs.</li><li>Experience taking over or maintaining an existing codebase developed by another team.</li><li>Understanding of authentication, user roles, permissions, MFA and secure data handling.</li><li>Experience conducting UAT, regression testing and post-release verification.</li><li>Ability to translate business requirements into technical solutions.</li><li>Ability to write clean, maintainable and documented code.</li><li>Strong analytical and problem-solving ability.</li><li>Strong English communication; Arabic is strongly preferred.</li><li>Ability to work full-time from VirtuStaff’s Jordan office.</li></ul><p><br></p><p><b>AI-Related Experience</b></p><p>The candidate should also have at least some experience with:</p><ul><li>Integrating AI or large-language-model APIs into web applications.</li><li>Working with tools or services such as OpenAI, Azure OpenAI, Google AI, AWS AI services or equivalent platforms.</li><li>Sending application data to an AI service and processing structured responses.</li><li>Prompt configuration and prompt-version management.</li><li>JSON-based AI outputs and response validation.</li><li>AI-assisted classification, scoring, matching or recommendation workflows.</li><li>Handling AI errors, timeouts, incomplete responses and inconsistent results.</li><li>Protecting personal or confidential data when working with AI services.</li><li>Combining AI recommendations with human review and business rules.</li></ul><p><br></p><p><b>Preferred but Not Mandatory</b></p><ul><li>Experience with recruitment technology, HR platforms, marketplaces or applicant-tracking systems.</li><li>Experience developing candidate-matching, recommendation or ranking features.</li><li>Familiarity with embeddings, semantic search or vector databases.</li><li>Experience with automated testing, CI/CD and cloud security.</li><li>Basic knowledge of Python for AI-service integrations or data processing.</li><li>Experience with AI monitoring, evaluation or prompt testing.</li></ul><p><br></p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Join our dynamic team as a Backend Engineer, where you will have the opportunity to work on innovative projects that drive our company's success. In this role, you will be responsible for designing, developing, and maintaining the server-side components of our applications. As a key member of our engineering team, you will collaborate closely with frontend developers, product managers, and other stakeholders to deliver high-quality software solutions that meet our clients' needs.</p><p>We believe in fostering a culture of continuous learning and growth, where your skills will be nurtured through mentorship and training programs. As you advance in your career, you will have the chance to take on more complex projects and leadership roles, making a significant impact on our technology stack and overall business strategy. Our team values collaboration, innovation, and a shared commitment to excellence, creating an environment where your contributions will be recognized and rewarded.</p><p>As a Backend Engineer, you will not only enhance your technical expertise but also develop your problem-solving skills in a fast-paced environment. You will be encouraged to explore new technologies and methodologies, ensuring that you stay ahead in your field. Join us on this exciting journey, and together, we will shape the future of our products and services while achieving your professional aspirations.</p><p><b>Responsibilities:</b></p><ol><li>Design and implement robust server-side applications using programming languages such as Python, Java, or Node.js, ensuring high performance and responsiveness to requests.</li><li>Collaborate with frontend developers to integrate user-facing elements with server-side logic, utilizing APIs and microservices architecture to enhance application functionality.</li><li>Develop and maintain database systems, ensuring data integrity and security while optimizing queries for performance and scalability.</li><li>Conduct code reviews and provide constructive feedback to team members, fostering a culture of quality and continuous improvement within the engineering team.</li><li>Debug and troubleshoot issues in the backend systems, utilizing logging and monitoring tools to identify and resolve performance bottlenecks.</li><li>Participate in agile development processes, contributing to sprint planning and retrospective meetings to enhance team productivity and project outcomes.</li><li>Stay up-to-date with emerging technologies and industry trends, evaluating their potential impact on our systems and recommending improvements as necessary.</li><li>Document technical specifications and system architectures to ensure clarity and knowledge transfer within the team and across departments.</li><li>Assist in the deployment and maintenance of applications in cloud environments, ensuring reliability and scalability to meet user demands.</li></ol> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Proficiency in server-side programming languages such as Python, Java, or Node.js is essential for developing backend applications.</li><li>Experience with database management systems, including SQL and NoSQL, to support data-driven applications.</li><li>Familiarity with RESTful APIs and microservices architecture to facilitate seamless integration between frontend and backend systems.</li><li>Strong problem-solving skills to debug and resolve technical issues efficiently in a fast-paced environment.</li><li>Knowledge of cloud platforms like AWS or Azure for deploying and managing applications in a scalable manner.</li><li>Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders.</li><li>Understanding of version control systems, such as Git, to manage code changes and collaborate on projects effectively.</li></ul></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 Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs 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 cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; 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> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p>Successfully design, develop, implement, and maintain enterprise Business Intelligence and AI solutions that improve data accessibility, reporting, analytics, and decision-making across UNRWA. Deliver high-quality data warehouse models, ETL/ELT solutions, Power BI dashboards, AI-enabled analytics, and technical documentation while ensuring data quality, adherence to enterprise architecture standards, and knowledge transfer to relevant technical teams.</p><p>Work Location HQA and open for remote consultancy in the UNRWA fields of operation Expected duration 12 months</p><p>Duties and Responsibilities</p><p>The Consultant will be responsible for providing senior technical expertise in Business Intelligence, Data Analytics, Data Warehousing, and Artificial Intelligence solutions. The Consultant will work closely with the Enterprise Architecture &amp; Business Intelligence (EBI) team to deliver enterprise reporting and analytics capabilities. Specific outputs/tasks include, but are not limited to:</p><ul><li>Analyze business requirements and translate them into technical BI and AI solutions.</li><li>Design and develop dimensional data warehouse models and analytical/semantic models.</li><li>Design and develop OLAP cubes and support database objects.</li><li>Develop, maintain, and optimize ETL/ELT processes and data integration solutions.</li><li>Design, develop, deploy, and maintain Power BI reports, dashboards, KPI scorecards, and AI-powered dashboards.</li><li>Support implementation and adoption of Microsoft Copilot and other AI capabilities within BI solutions.</li><li>Ensure data quality, consistency, completeness, and accuracy through profiling, validation, cleansing, and monitoring activities.</li><li>Provide technical advice and recommendations related to BI, Power BI, analytics, AI, and data architecture.</li><li>Coordinate with the Enterprise Architecture &amp; Business Intelligence team on technical design, architecture, deployment, and production support.</li><li>Provide technical guidance and knowledge transfer to BI developers and relevant technical staff.</li><li>Prepare and maintain technical documentation including solution designs, specifications, operational procedures, and user manuals.</li><li>Perform other related duties as required.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's Degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or another related discipline.</li><li>Minimum seven (6) years of relevant professional experience.</li><li>Professional experience in Business Intelligence, Data Analytics, Data Engineering, Data Warehousing, Software Development, or related fields, including experience with Power BI, SQL Server, ETL/ELT development, dimensional modelling, AI-powered analytics, and Microsoft BI technologies.</li><li>Extensive experience with Microsoft Power BI.</li><li>Extensive experience with SQL Server, SQL development, and database scripting.</li><li>Strong experience in Data Warehouse design and dimensional modelling.</li><li>Strong experience in ETL/ELT development and data integration.</li><li>Strong experience writing DAX and SQL.</li><li>Experience with Microsoft SSIS and SSAS.</li><li>Experience implementing AI-powered analytics, Microsoft Copilot, or Generative AI solutions.</li><li>Experience translating business requirements into analytical solutions.</li><li>Experience preparing technical documentation.</li><li>Experience with Microsoft Azure and/or Microsoft Fabric is desirable</li><li>English and Arabic are the working languages of UNRWA. For this assignment, fluency in both Arabic and English are required.</li></ul>

<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 Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs 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 cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; 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> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <strong>Key Responsibilities : </strong> </p> <p>Analyze business and technical requirements and create comprehensive test plans and test cases.<br>Design, execute, and maintain manual and automated test suites.<br>Perform Functional, Regression, Integration, System, Smoke, Sanity, UAT, and End-to-End testing.<br>Conduct API testing using RESTful services and validate responses.<br>Perform database testing and data integrity validation using SQL.<br>Identify, document, track, and verify software defects.<br>Collaborate with developers and product teams throughout the SDLC and Agile ceremonies.<br>Participate in requirement reviews and provide feedback on testability and quality risks.<br>Maintain and enhance automation frameworks using tools such as Selenium, Playwright, Cypress, or Appium.<br>Integrate automated tests into CI/CD pipelines.<br>Mentor junior QA engineers and promote QA best practices.<br>Support performance testing activities when required. </p> <p> <br> </p> <p> <strong>Required Qualifications :</strong> </p> <p>Bachelor's degree in Computer Science, Software Engineering, or a related field.<br>5+ years of experience in Software Quality Assurance.<br>Strong knowledge of software testing methodologies and QA processes.<br>Hands-on experience with test automation tools such as Selenium, Playwright, Cypress, or Appium.<br>Strong SQL skills and experience with database validation.<br>Experience working in Agile/Scrum environments.<br>Knowledge of defect tracking and test management tools such as Jira, TestRail, or Azure DevOps.<br>Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.<br>Strong analytical, troubleshooting, and communication skills</p></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary We are seeking a Boomi Technical Consultant to design, develop, implement, and support integration solutions using the Boomi Integration Platform (iPaaS) .<br> The ideal candidate will have hands-on experience building scalable integrations between cloud and on-premises applications, APIs, databases, and enterprise systems.<br> The consultant will work closely with business stakeholders, solution architects, and development teams to deliver high-quality integration solutions.<br> Key Responsibilities Design, develop, and implement integration solutions using Boomi AtomSphere .<br> Build and maintain integrations between ERP, CRM, HR, finance, and third-party applications.<br> Develop APIs and web services using REST and SOAP.<br> Configure connectors, processes, mappings, profiles, and business rules.<br> Perform data transformation, validation, and error handling.<br> Deploy, monitor, and troubleshoot Boomi integrations.<br> Configure and manage Boomi Atoms, Molecules, and Atom Clouds.<br> Collaborate with functional consultants and business users to gather requirements.<br> Support API management and integration best practices.<br> Optimize integration performance and ensure system reliability.<br> Prepare technical documentation and deployment guides.<br> Provide production support and resolve integration issues.<br> Participate in testing, UAT, and go-live activities.<br> Required Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field.<br> 3+ years of hands-on experience with Boomi AtomSphere .<br> Experience developing enterprise integration solutions.<br> Strong knowledge of REST, SOAP, XML, JSON, XSD, and APIs.<br> Experience with SQL and relational databases.<br> Experience integrating cloud and on-premises applications.<br> Knowledge of data mapping and transformation techniques.<br> Strong troubleshooting and debugging skills.<br> Excellent communication and problem-solving skills.<br> Preferred Qualifications Boomi Professional Developer or Professional Architect Certification.<br> Experience integrating SAP, Oracle, Salesforce, Microsoft Dynamics, Workday, ServiceNow, or other enterprise applications.<br> Knowledge of API Management and EDI integrations.<br> Experience with CI/CD pipelines and Git.<br> Familiarity with AWS, Azure, or GCP.<br> Knowledge of scripting languages such as JavaScript or Groovy.<br> Experience working in Agile environments.<br> Soft Skills Soft Skills Strong analytical and problem-solving abilities.<br> Excellent communication and stakeholder management.<br> Ability to manage multiple projects simultaneously.<br> Customer-focused mindset.<br> Strong documentation and organizational skills.<br> Ability to work independently and as part of a team.<br></span> </div>

<p><h4>Position summary</h4> <p>Serve as the point of contact for clients and communicate with them by phone and email to respond to questions and requests. Enter and retrieve information contained in computer databases using a keyboard, mouse, or trackball to update records, files, reservations, and answer inquiries from guests. Operate standard office equipment other than computers. Prepare letters, memos, and other documents using word processing, spreadsheet, database, or presentation software. Transmit information or documents using a computer, mail, or facsimile machine, including proofreading and editing written information to ensure accuracy and completeness. Enter and locate work-related information using computers and/or point of sale systems.</p> <p>Follow all company policies and procedures, ensure uniform and personal appearance are clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards, anticipate and address guests’ service needs, assist</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 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>

<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>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>

<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>We are seeking a motivated developer in the fintech space with 1–4 years of experience to join our growing team. The ideal candidate combines a solid understanding of the payments ecosystem with practical Python skills to support integrations, data analysis, operational improvements, and payment-related product initiatives.</p> <p>This role is well suited for someone who has worked with payment providers, acquiring banks, payment gateways, digital wallets, or fintech platforms and wants to deepen their technical and business expertise.</p> <h4>Key responsibilities</h4> <ul> <li>Work with APIs to integrate payment providers (PSPs) and fintech solutions.</li> <li>Assist in troubleshooting of payment-related issues.</li> <li>Analyze transaction flows, payments, and reconciliation processes.</li> <li>Collaborate with product, engineering, operations, compliance, and finance teams on payment initiatives.</li> <li>Generate reports and dashboards using payment and transaction data.</li> <li>Contribute to the evaluation and onboarding of new payment methods, providers, and fintech partners.</li> </ul> <h4>Required qualifications</h4> <ul> <li>1–4 years of experience in fintech, payments, or related fields.</li> <li>Experience working with REST APIs and JSON data.</li> <li>Experience with SQL.</li> <li>Experience with Python (Flask or Django).</li> <li>Analytical mindset with strong problem-solving abilities.</li> <li>Excellent communication skills and ability to work across technical and business teams.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Understanding of PCI-DSS, Open Banking, or other payments-related regulations.</li> <li>Knowledge of cloud platforms (AWS, Azure, or GCP).</li> <li>Familiarity with payment fraud prevention and risk management concepts.</li> <li>Exposure to ETL processes, data pipelines, or workflow automation.</li> </ul></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>

<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>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>