SQL Jobs in Jordan

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><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. 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><p>Key Responsibilities</p><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></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><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><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></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p> <p> <strong>Your Team: </strong> </p> <p>A strong QA team serves as the quality gatekeeper for our products, managing multiple testing activities including functional, regression, integration, and potential for automation testing. The team collaborates closely with developers, product owners, and stakeholders to identify risks early, ensure product reliability, and maintain high-quality standards throughout the software development lifecycle.</p> <strong>Your Role:</strong> <p>We are seeking a Mid-Level QA Engineer to ensure the quality and reliability of our software products. The successful candidate will be responsible for planning, designing, and executing test activities, identifying defects, and collaborating with cross-functional teams to deliver high-quality solutions. This role requires strong analytical thinking, and the ability to work with minimal supervision.</p> Responsibilities: <br><ul> <li>Analyze business requirements and create detailed test scenarios and test cases.</li> <li>Perform functional, integration, regression and system testing.</li> <li>Execute API testing and validate backend services.</li> <li>Perform database validation using SQL queries.</li> <li>Identify, document, prioritize, and track defects through JIRA.</li> <li>Collaborate with developers and product managers throughout the software development lifecycle.</li> <li>Participate in Agile activities, including sprint planning, stand-ups, reviews, and retrospectives.</li> <li>Review requirements and provide feedback to improve the product quality.</li> <li>Support release validation and production verification activities.</li> <li>Mentor junior QA team members and share testing best practices.</li> </ul> Qualifications: <br><p> <strong>Must-Haves:</strong> </p> <ul> <li>Strong knowledge of quality standards and techniques</li> <li>API testing skills</li> <li>Very keen eyes and attention to detail</li> <li>Mobile testing experience</li> </ul> <p> <strong>Nice-to-Haves:</strong> </p> <ul> <li>Automation skills (Javascript capabilities, Cypress Tool, GitLab/GitHub, CI/CD integration)</li> <li>CTFL certified</li> <li>Database and backend testing</li> </ul> <p><br></p><div> </div></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Purpose As a Junior SDET at CR2, you will work within a Scrum team supporting and elevating the quality of our digital banking solutions. You will gain hands-on experience working close to our products understanding requirements, supporting test design, and contributing to both manual and automated testing. This role is suited to candidates with solid QA fundamentals who are looking to grow their technical and automation skills in a fast-paced, collaborative environment. Our Hybrid Working Model requires employees to be on-site three days per week in our Amman / Bangalore office.</p><p>Key Responsibilities</p><p>Agile Team Collaboration</p><ul><li>Participate actively in all Agile ceremonies, contributing meaningful input during refinement, planning and standups.</li><li>Review user stories and acceptance criteria, providing accurate QA effort estimates.</li><li>Communicate progress, risks, and blockers proactively.</li><li>Build strong product understanding to ensure testing aligns with business objectives.</li></ul><p>Test Design &amp; Execution</p><ul><li>Create, maintain and run automated tests across Web, Mobile and API.</li><li>Ensure risk-based and comprehensive coverage of new and existing features.</li><li>Identify, document, and reports defects with clarity.</li><li>Work effectively within a continuous delivery environment using Jira and test management tools.</li></ul><p>Automation Frameworks:</p><ul><li>Develop clean, maintainable automated test scripts.</li><li>Contribute to enhancing automation frameworks for stability, scalability, and efficiency.</li><li>Participate in code reviews and uphold automation quality standards.</li><li>Continuously seek opportunities to increase automation coverage and reduce manual effort.</li></ul><p>Environment, Reporting &amp; Continuous Improvement</p><ul><li>Configure and maintain test environments and data as required.</li><li>Track defects through to resolution and validate fixes thoroughly.</li><li>Maintain and enhance documentation - how-to guides.</li><li>Identify and propose practical improvements to QA processes and tooling.</li></ul><p>Required Experience, Skills &amp; Competencies</p><p>Technical Capability:</p><ul><li>Strong Java programming skills with the ability to write maintainable, testable code.</li><li>Experience with API testing, UI automation, and CI/CD tools (e.g. Jenkins).</li><li>Familiarity with tools such as Git, RestAssured, Selenium, TestNG, and Appium.</li><li>Working knowledge of SQL and relational databases.</li></ul><p>Analytical &amp; Detail-Oriented</p><ul><li>Strong problem-solving skills with the ability to troubleshoot effectively.</li><li>High attention to detail, including identification of edge cases and risk areas.</li><li>Commitment to delivering accurate, high-quality outcomes.</li></ul><p>Communication &amp; Team Collaboration:</p><ul><li>Clear and concise verbal and written communication skills.</li><li>Ability to articulate risks and findings to both technical and non-technical stakeholders.</li><li>Comfortable working independently and within cross-functional Agile teams.</li><li>Open to feedback and motivated by continuous improvement.</li></ul><p>Growth Mindset</p><ul><li>Interest in exploring AI and new technologies to enhance automation and testing efficiency.</li><li>Demonstrated drive to develop expertise and expand technical capability.</li></ul><p>Qualifications &amp; Experience</p><ul><li>Bachelor s degree in Computer Science, Engineering, or a related discipline.</li><li>2+ years of hands-on experience in Software Quality Assurance.</li><li>Experience delivering automation solutions for web and/or mobile applications.</li><li>Understanding of Agile/Scrum and iterative delivery models.</li><li>Experience working within structured test environments and release cycles.</li><li>Exposure to regulated industries (banking, fintech, payments, or card processing) is advantageous.</li></ul><p>Success Metrics</p><ul><li>Consistent and reliable QA delivery within sprint commitments.</li><li>Proactive collaboration with Developers and Product Owners.</li><li>Minimal defect leakage within assigned product area.</li><li>Reliable, maintainable automation that increases coverage and efficiency.</li><li>Demonstrated progression in both product knowledge and technical capabilities.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Required Experience, Skills &amp; Competencies</strong></p><p><strong>Technical Capability:</strong></p><ul><li>Strong Java programming skills with the ability to write maintainable, testable code.</li><li>Experience with API testing, UI automation, and CI/CD tools (e.g. Jenkins).</li><li>Familiarity with tools such as Git, RestAssured, Selenium, TestNG, and Appium.</li><li>Working knowledge of SQL and relational databases.</li></ul><p><strong>Analytical &amp; Detail-Oriented</strong></p><ul><li>Strong problem-solving skills with the ability to troubleshoot effectively.</li><li>High attention to detail, including identification of edge cases and risk areas.</li><li>Commitment to delivering accurate, high-quality outcomes.</li></ul><p><strong>Communication &amp; Team Collaboration:</strong></p><ul><li>Clear and concise verbal and written communication skills.</li><li>Ability to articulate risks and findings to both technical and non-technical stakeholders.</li><li>Comfortable working independently and within cross-functional Agile teams.</li><li>Open to feedback and motivated by continuous improvement.</li></ul><p><strong>Growth Mindset</strong></p><ul><li>Interest in exploring AI and new technologies to enhance automation and testing efficiency.</li><li>Demonstrated drive to develop expertise and expand technical capability.</li></ul><p><strong>Qualifications &amp; Experience</strong></p><ul><li>Bachelor s degree in Computer Science, Engineering, or a related discipline.</li><li>2+ years of hands-on experience in Software Quality Assurance.</li><li>Experience delivering automation solutions for web and/or mobile applications.</li><li>Understanding of Agile/Scrum and iterative delivery models.</li><li>Experience working within structured test environments and release cycles.</li><li>Exposure to regulated industries (banking, fintech, payments, or card processing) is advantageous.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About Us:</strong></p><br><p>Building on this global mission to revolutionize education, Little Thinking Minds is transforming Arabic literacy for the future. As a premier K-12 digital literacy platform across the MENA region and beyond, Little Thinking Minds offers a suite of award-winning tools, interactive content, and gamified experiences designed to make learning Arabic exciting and impactful. Through adaptive learning platforms and dedicated teacher-support resources, they bridge critical literacy gaps and inspire a lifelong love for reading by providing continuous visibility into student progress to support and celebrate their learning journey.</p><br><p><strong>Your Team:&amp;nbsp;</strong></p><br><p>A strong QA team serves as the quality gatekeeper for our products, managing multiple testing activities including functional, regression, integration, and potential for automation testing. The team collaborates closely with developers, product owners, and stakeholders to identify risks early, ensure product reliability, and maintain high-quality standards throughout the software development lifecycle.</p><br><strong>Your Role:</strong><p>We are seeking a Mid-Level QA Engineer to ensure the quality and reliability of our software products. The successful candidate will be responsible for planning, designing, and executing test activities, identifying defects, and collaborating with cross-functional teams to deliver high-quality solutions. This role requires strong analytical thinking, and the ability to work with minimal supervision.</p><br>Responsibilities:&amp;nbsp;<ul><li>Analyze business requirements and create detailed test scenarios and test cases.</li><li>Perform functional, integration, regression and system testing.</li><li>Execute API testing and validate backend services.</li><li>Perform database validation using SQL queries.</li><li>Identify, document, prioritize, and track defects through JIRA.</li><li>Collaborate with developers and product managers throughout the software development lifecycle.</li><li>Participate in Agile activities, including sprint planning, stand-ups, reviews, and retrospectives.</li><li>Review requirements and provide feedback to improve the product quality.</li><li>Support release validation and production verification activities.</li><li>Mentor junior QA team members and share testing best practices.</li></ul>Qualifications:&amp;nbsp;<p><strong>Must-Haves:</strong></p><br><ul><li>Strong knowledge of quality standards and techniques</li><li>API testing skills</li><li>Very keen eyes and attention to detail</li><li>Mobile testing experience</li></ul><p><strong>Nice-to-Haves:</strong></p><br><ul><li>Automation skills (Javascript capabilities, Cypress Tool, GitLab/GitHub, CI/CD integration)</li><li>CTFL certified</li><li>Database and backend testing</li></ul><p><strong>Benefits include:</strong>&amp;nbsp;</p><br><ul><li>Medical insurance as per company policy, commencing after the probation period.&amp;nbsp; Currently through GIG Company.&amp;nbsp; 10 medical forms/year, Level A coverage. Co-pay of 20%.</li><li>One Sunday of every month will be designated as a holiday</li><li>Annual Leave:&amp;nbsp; 14 Working days</li></ul><p>Our company participates in E-Verify.</p><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A leading global pharmaceutical company is seeking an experienced Data Engineer / BI Engineer to design, build, and maintain scalable data platforms that enable analytics, reporting, and data-driven decision making.<br> The role focuses on data ingestion, transformation, modeling, and analytics enablement, with strong emphasis on Python-based data engineering and modern data architectures.<br> Responsibilities: 1.<br> Data Engineering &amp; Data Architecture: Design and maintain scalable data pipelines for ingesting, transforming, and serving structured and semi-structured data.<br> Develop robust data transformation and processing logic using Python and distributed data processing frameworks.<br> Design and maintain analytical data models (dimensional models, fact/dimension tables) optimized for reporting and analytics.<br> Ensure data quality, reliability, performance, and consistency across the data platform.<br> Translate business and analytical requirements into efficient and maintainable data solutions.<br> 2. Analytics &amp; BI Enablement: Build and maintain semantic / analytical models that support enterprise reporting and self-service analytics.<br> Collaborate with analysts and business users to deliver trusted datasets and metrics.<br> Support reporting and dashboarding solutions by providing optimized data structures and calculations.<br> 3. Delivery &amp; Collaboration: Produce clear technical documentation including data models, transformation logic, and pipeline designs.<br> Collaborate with cross-functional teams including data analysts, data engineers, and business stakeholders.<br> Bachelor’s degree in data science, computer science, data engineering, or a relevant field.<br> 1-3 years of BI development experience.<br> 3+ years of cloud-based BI development experience Excellent English language verbal and written communication.<br> Able to analyse and understand complex data.<br> Able to implement modules that have security and authorization frameworks.<br> Strong problem-solving skills Technical Skills: Programming &amp; Data Processing: Strong proficiency in Python for data engineering and analytics use cases.<br> Experience building reusable, testable, and maintainable data transformation code.<br> Data Warehousing &amp; Modeling: Strong knowledge of SQL and analytical query optimization.<br> Solid understanding of data warehousing concepts (ETL/ELT, fact and dimension modeling).<br> Experience designing star and snowflake schemas for analytics and reporting.<br> Understanding of semantic layers and metrics definitions for BI consumption.<br> Cloud &amp; Modern Data Platforms: Experience working with cloud-based data platforms and data lakes(Preferred Azure).<br> Understanding of scalable data architectures (Lakehouse, warehouse, streaming vs batch).<br> BI &amp; Analytics: Experience supporting BI and reporting tools through well-designed datasets and models (Preferred Power BI).<br> Knowledge of analytical calculations, KPIs, and performance optimization for reporting workloads.<br> CI/CD &amp; DevOps (Supporting Skills): Working knowledge of CI/CD concepts applied to data and analytics projects.<br> Experience using version control systems (e.<br>g., Git, Perforce or Apache Subversion) for managing data, code, and artifacts.<br> Familiarity with deployment pipelines and environment promotion for data solutions</span> </div>

<p>About the Role As a Data Scientist at Aspire, you will be responsible for building and maintaining production machine learning solutions in a cloud environment. This role focuses on developing scalable ML models, collaborating with cross-functional teams, and supporting data-driven decision making across the organization. You will work within US time zones (PST to EST) and operate in a remote-first, distributed team environment.</p><p><b>What You'll Do</b></p><ul><li>Develop, deploy, and maintain production machine learning models.</li><li>Perform exploratory data analysis and feature engineering to extract actionable insights.</li><li>Build and improve data pipelines that support ML workflows and automation.</li><li>Collaborate with engineering and business stakeholders to deliver scalable ML solutions.</li><li>Contribute to AI/LLM-based capabilities where applicable to enhance product offerings.</li><li>Monitor and optimize model performance in production environments (not only notebook-based development).</li><li>Document all procedures, configurations, and changes in a clear, auditable manner.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>What You'll Need</p><ul><li>2+ years of experience building and maintaining production machine learning models.</li><li>Strong Python programming skills.</li><li>Experience with AWS SageMaker or another enterprise ML platform (e.g., Vertex AI or Azure ML) supporting production ML pipelines.</li><li>Experience deploying and monitoring ML models in production (not only notebook-based development).</li><li>Advanced SQL.</li><li>Git/version control.</li><li>Ability to work independently in production environments.</li><li>Experience with MLOps tools (MLflow, Airflow, dbt, or similar).</li><li>Snowflake.</li><li>Marketing, growth, experimentation, or causal inference experience.</li><li>Experience with LLMs or AI agents.</li><li>Agile development practices.</li><li>Experience building scalable ML solutions in enterprise environments.</li><li>Familiarity with cloud-based ML platforms and production deployment best practices.</li><li>Strong communication skills and ability to work with cross-functional teams.</li><li>Familiarity with US time zones (PST to EST) and remote collaboration workflows.</li></ul>

<p>We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that enable data-driven decision-making across the organization. The ideal candidate will have strong backend data engineering expertise and exposure to modern big data and AI- driven ecosystems.</p><p>Responsibilities:</p><ul><li>Design, develop, and optimize scalable data pipelines using Python or Java.</li><li>Build and maintain ETL/ELT frameworks using Apache Spark (Batch &amp; Streaming).</li><li>Write advanced SQL queries for data transformation, validation, and analytics.</li><li>Develop APIs to share data with other services.</li><li>Integrate data from multiple structured and unstructured sources.</li><li>Collaborate with Data Scientists, Analysts, and Product teams to support analytics and ML use cases.</li><li>Implement data validation, logging, and error-handling mechanisms.</li><li>Optimize pipeline performance and manage large-scale datasets.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or related field.</li><li>3+ years of hands-on experience in Data Engineering or Big Data development.</li><li>Strong programming experience in Python and/or Java And Scala.</li><li>Hands-on expertise with Apache Spark (Batch &amp; Streaming).</li><li>Experience with scripting (Python, Bash, Shell).</li><li>API(Python, Java) Development skills.</li><li>Understanding of distributed systems and big data architectures.</li><li>Good knowledge in AWS services(S3, RDS, Redshift, Glue, EMR, Athena, Lambda, etc.).</li><li>Strong experience in data modeling and data warehousing.</li><li>Hands-on experience with batch and streaming data processing, and workflow orchestration tools such as Apache Airflow.</li><li>Experience in API and data integration, with exposure to GenAI integrations (LLMs, LangChain) considered a plus.</li><li>Strong problem-solving and analytical skills and ability to work in a fast paced environment.</li><li>Excellent communication and documentation skills.</li></ul>

<p><h4>Description</h4> <p>The Junior Quality Control Engineer supports the QA team by executing tests, reporting bugs, and assisting in the preparation of test documentation under the supervision of senior QC engineers. This entry-level position is ideal for candidates passionate about quality assurance and eager to learn and grow within the field. The Junior QC Engineer typically reports to a senior or mid-level QC engineer or the QA Lead.</p> <h4>Key responsibilities:</h4> <ul> <li>Execute test cases as per test plans including functional, regression, and integration tests.</li> <li>Report and document defects clearly and track their resolution using bug tracking tools like DevOps.</li> <li>Assist in creating and maintaining test documentation.</li> <li>Participate in team meetings and collaborate with developers and other members of the QC team.</li> <li>Learn automation tools and assist in developing simple automation scripts.</li> <li>Conduct basic API and performance testing with guidance.</li> <li>Support static testing activities and assist in user acceptance testing (UAT).</li> <li>Continuously learn and improve testing skills following best practices and company procedures.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in engineering, computer science, information technology, or related field.</li> <li>Basic understanding of software testing concepts and methodologies.</li> <li>Familiarity with testing tools and bug tracking systems such as DevOps or Jira is a plus.</li> <li>Strong analytical and problem-solving skills.</li> <li>Eagerness to learn automation tools and scripting languages.</li> <li>Good communication skills and ability to work well within a team.</li> <li>Basic knowledge of SQL and ability to execute simple queries.</li> <li>Attention to detail and strong commitment to quality.</li> <li>Ability to multitask and manage time effectively in a fast-paced environment.</li> <li>Proficient in written and spoken English.</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The Junior Quality Control Engineer supports the QA team by executing tests, reporting bugs, and assisting in the preparation of test documentation under the supervision of senior QC engineers. This entry-level position is ideal for candidates passionate about quality assurance and eager to learn and grow within the field. The Junior QC Engineer typically reports to a senior or mid-level QC engineer or the QA Lead.</p> <h4>Key responsibilities:</h4> <ul> <li>Execute test cases as per test plans including functional, regression, and integration tests.</li> <li>Report and document defects clearly and track their resolution using bug tracking tools like DevOps.</li> <li>Assist in creating and maintaining test documentation.</li> <li>Participate in team meetings and collaborate with developers and other members of the QC team.</li> <li>Learn automation tools and assist in developing simple automation scripts.</li> <li>Conduct basic API and performance testing with guidance.</li> <li>Support static testing activities and assist in user acceptance testing (UAT).</li> <li>Continuously learn and improve testing skills following best practices and company procedures.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in engineering, computer science, information technology, or related field.</li> <li>Basic understanding of software testing concepts and methodologies.</li> <li>Familiarity with testing tools and bug tracking systems such as DevOps or Jira is a plus.</li> <li>Strong analytical and problem-solving skills.</li> <li>Eagerness to learn automation tools and scripting languages.</li> <li>Good communication skills and ability to work well within a team.</li> <li>Basic knowledge of SQL and ability to execute simple queries.</li> <li>Attention to detail and strong commitment to quality.</li> <li>Ability to multitask and manage time effectively in a fast-paced environment.</li> <li>Proficient in written and spoken English.</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Training & development</li> </ul></p><p></p>

<p>We are seeking a Senior Software Engineer to join our engineering team in Amman, working on the platform behind many of the world's largest scientific publishers. You will work primarily on the administrative applications that publishers and internal teams use to configure and manage their sites, and across the wider backend platform that powers them. This is a mature, multi-tenant Java system serving hundreds of publishers with different configurations and requirements, so the work spans backend services, data, and the interfaces built on top of them.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.</li><li>5+ years of professional experience developing applications in Java, with a strong understanding of object-oriented design, data structures, and software design patterns.</li><li>Hands-on experience with the Spring framework.</li><li>Experience designing and building RESTful APIs and backend services.</li><li>Solid understanding of relational databases and SQL.</li><li>Experience writing unit and integration tests using frameworks such as JUnit and Mockito.</li><li>Hands-on experience with Git and Linux-based environments.</li><li>Demonstrated ability to work effectively in established codebases with limited documentation.</li><li>Strong analytical and problem-solving skills with a focus on quality.</li><li>Excellent verbal and written communication skills in English.</li><li>Ability to work effectively both independently and as part of a distributed team.</li></ul><h4>Preferred Qualifications</h4><ul><li>Professional experience building user interfaces with React.</li><li>Experience with XML technologies such as XSLT and XQuery, or with template engines.</li><li>Experience with server-side Java UI frameworks, or with servlet and JSP based applications.</li><li>Experience migrating a legacy web application to a modern JavaScript framework.</li><li>Experience with multi-tenant systems where behavior is driven by per-customer configuration.</li><li>Experience with messaging or event-driven architectures such as JMS or Kafka.</li><li>Experience with NoSQL databases such as Cassandra.</li></ul>

<p>We are looking for a Senior Backend Engineer who is passionate about building great products for our customers. You need to be dynamic, collaborative, and curious as we build new experiences, improve existing products, and develop distributed systems powering the Middle East largest travel e-commerce websites.</p><p><b>Responsibilities</b>:</p><ul><li>Design Technical/Integration Architectures, including development, runtime, and operations architectures</li><li>Define scalable solutions using Service Oriented Architecture (SOA) patterns, and microservices automating business process models and cloud-based services.</li><li>Design message and event-driven architectures.</li><li>Lead implementation of large, complex solutions from establishing project requirements and goals to solution "go-live"</li><li>Provide Technical design across multiple projects and clients</li><li>Provide Technology Consulting services covering areas such as Architectural Strategy, Architectural review/audit and Architecture road-map.</li><li>Manages the risks, issues, and dependencies of the scoped solution</li><li>Responsible for roadmaps for integration technologies (current and future).</li><li>Introducing Agile processes to the existing team</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Degree in Computer Science, Engineering or a related subject.</p><p>4+ years of intensive Java backend development and solution architecture. (Java, Spring Boot, API Security, Redis, RabbitMQ, Kafka, Sql and NoSql databases, Docker, Kubernetes, AWS)</p><p>Knowledge in NodeJS is nice to have</p><p>Should be working on Java 8 or Java 11</p><p>Strong experience in hands-on platform delivery and architecture design</p><p>Full understanding of Cloud service, AWS and DevOps tools and CI/CD process</p><p>Strong experience with the full life cycle of Agile software development processes, approaches, delivery and methods with scaling to the Enterprise and release management processes.</p><p>Thought leadership and Technical knowledge combined with delivery experience in some of these areas: Legacy platform migration RESTful APIs and API gateways Microservices based Architecture Cloud deployment (AWS mainly)</p><p>Ability to influence and guide senior stakeholders on technical solutions</p><p>Excellent documentation, presentation and communication skills</p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original material engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for materials scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in materials science or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original material engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for materials scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in materials science or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design rigorous computer science problems reflecting professional practice;</li> <li>Evaluate AI solutions for correctness, assumptions, and constraints;</li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li> <li>Improve AI reasoning to align with industry-standard logic;</li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in computer science or related fields.</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable.</li> <li>Strong written English (C1+).</li> <li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $40 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design rigorous computer science problems reflecting professional practice;</li> <li>Evaluate AI solutions for correctness, assumptions, and constraints;</li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li> <li>Improve AI reasoning to align with industry-standard logic;</li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in computer science or related fields.</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable.</li> <li>Strong written English (C1+).</li> <li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $40 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><p>At Syarah, we are building the future of automotive e-commerce in the region, with data at the core of our operations. We’re looking for a senior data specialist to support and scale our data systems, analytics, and reporting capabilities.</p> <p>This is a hands-on role where you will build reliable data pipelines, improve data quality, and generate insights that support business decisions across product, operations, and finance. You will play a key role in developing and maintaining our data infrastructure on GCP.</p> <h4>Key responsibilities</h4> <ul> <li>Build and maintain scalable data pipelines and ETL processes</li> <li>Develop and optimize Syarah’s data platform on GCP (BigQuery, Dataform, Cloud Run)</li> <li>Design and maintain clean, scalable data models for reporting and analytics</li> <li>Integrate data from multiple sources, including ERP and operational systems</li> <li>Develop and maintain APIs (Flask or similar) for data access and integrations</li> <li>Manage and monitor data workflows using Airflow or similar tools</li> <li>Ensure data accuracy, consistency, and reliability across systems</li> <li>Support integration of tools like Mixpanel and Adjust for analytics and tracking</li> <li>Build dashboards and reports for business teams</li> <li>Analyze data to identify trends, issues, and opportunities</li> <li>Collaborate with product, finance, and operations teams to support data needs</li> <li>Contribute to automation and internal tooling, including AI-related use cases where relevant</li> </ul> <h4>Requirements</h4> <ul> <li>4+ years of experience in data engineering, analytics, or similar roles</li> <li>Strong experience with GCP (BigQuery preferred)</li> <li>Advanced proficiency in SQL and Python</li> <li>Experience building and maintaining data pipelines and ETL processes</li> <li>Hands-on experience with Airflow or similar workflow orchestration tools</li> <li>Experience with APIs (Flask or similar frameworks is a plus)</li> <li>Strong understanding of data modeling and analytics best practices</li> <li>Familiarity with analytics tools (e.g., Mixpanel, Adjust) is a plus</li> <li>Experience working with ERP systems is a plus</li> <li>Strong problem-solving and analytical skills</li> <li>Ability to work in a fast-paced, cross-functional environment</li> </ul></p><p></p>

<p><p>At Syarah, we are building the future of automotive e-commerce in the region, with data at the core of our operations. We’re looking for a senior data specialist to support and scale our data systems, analytics, and reporting capabilities.</p> <p>This is a hands-on role where you will build reliable data pipelines, improve data quality, and generate insights that support business decisions across product, operations, and finance. You will play a key role in developing and maintaining our data infrastructure on GCP.</p> <h4>Key responsibilities</h4> <ul> <li>Build and maintain scalable data pipelines and ETL processes</li> <li>Develop and optimize Syarah’s data platform on GCP (BigQuery, Dataform, Cloud Run)</li> <li>Design and maintain clean, scalable data models for reporting and analytics</li> <li>Integrate data from multiple sources, including ERP and operational systems</li> <li>Develop and maintain APIs (Flask or similar) for data access and integrations</li> <li>Manage and monitor data workflows using Airflow or similar tools</li> <li>Ensure data accuracy, consistency, and reliability across systems</li> <li>Support integration of tools like Mixpanel and Adjust for analytics and tracking</li> <li>Build dashboards and reports for business teams</li> <li>Analyze data to identify trends, issues, and opportunities</li> <li>Collaborate with product, finance, and operations teams to support data needs</li> <li>Contribute to automation and internal tooling, including AI-related use cases where relevant</li> </ul> <h4>Requirements</h4> <ul> <li>4+ years of experience in data engineering, analytics, or similar roles</li> <li>Strong experience with GCP (BigQuery preferred)</li> <li>Advanced proficiency in SQL and Python</li> <li>Experience building and maintaining data pipelines and ETL processes</li> <li>Hands-on experience with Airflow or similar workflow orchestration tools</li> <li>Experience with APIs (Flask or similar frameworks is a plus)</li> <li>Strong understanding of data modeling and analytics best practices</li> <li>Familiarity with analytics tools (e.g., Mixpanel, Adjust) is a plus</li> <li>Experience working with ERP systems is a plus</li> <li>Strong problem-solving and analytical skills</li> <li>Ability to work in a fast-paced, cross-functional environment</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in civil engineering or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in civil engineering or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original material engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for materials scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Materials Science or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>