Quality Engineer Performance (QA Performance)

🏢 Summary: This role focuses on optimizing and validating large-scale machine learning workloads within a High-Performance Computing and compiler infrastructure environment. The engineer will manage performance benchmarking pipelines, conduct root-cause analysis of regressions, and automate infrastructure for reliable performance testing. It is a high-impact position centered on performance engineering, automation, and system-level debugging for next-generation hardware. 🗂️ Requirements: Strong proficiency in Python, Hands-on experience with SQL, Deep knowledge of Linux/Unix environments, Experience with Bash scripting, Ability to debug complex system-level issues, Experience with performance benchmarking and analysis, Clear technical documentation skills 📃 Skills: Python, SQL, Linux, Unix, Bash, HPC, CI/CD, Bazel, CMake, JAX, PyTorch, TensorFlow, GPU 🏢 Description: We are looking for an experienced Software Engineer in Performance Infrastructure to join our team. This position is part of a high-impact project for a world-renowned global tech leader and AI innovator . You will be focused on optimizing large-scale machine learning workloads for next-generation hardware within a High-Performance Computing (HPC) and Compiler Infrastructure environment. Your core mission will be to manage the end-to-end health, precision, and reliability of performance benchmarking pipelines, working at the intersection of automated infrastructure and performance engineering. Responsibilities: Performance Analysis & Validation: Evaluate results from automated benchmarking suites to detect and analyze performance shifts and shifts in metrics. Root-Cause Analysis: Perform deep-dive root-cause analysis on bisection results to identify specific code changes responsible for performance regressions. Infrastructure Automation: Develop and maintain Python-based tooling for benchmark automation, hardware configuration management, and automated data recovery. System Debugging: Troubleshoot failures within the benchmarking pipeline, including script errors, environment misconfigurations, and resource allocation issues in distributed clusters. Data Pipelines & Dashboards: Maintain and enhance data pipelines and visualization tools to ensure high-fidelity performance metrics are consistently available for engineering teams. Technical Documentation: Develop and maintain engineering playbooks and best practices to improve consistency in performance testing and incident investigation. Min requirements: Strong proficiency in Python for systems automation, data processing, and integration. Hands-on experience with SQL for querying large datasets and managing performance metrics. Deep knowledge of Linux/Unix environments, shell scripting (Bash), and command-line development. Exceptional analytical and problem-solving skills with the ability to debug complex system-level issues. Clear written communication skills for documenting technical investigations and collaborating across globally distributed teams. Would be a plus: Practical experience with distributed build and test systems (e.g., Bazel / CMake ). Strong familiarity with CI/CD pipelines and automated regression testing. Basic understanding of hardware accelerators ( GPUs ) or machine learning frameworks (e.g., JAX, PyTorch, TensorFlow ). Background in Performance Engineering or SRE (Site Reliability Engineering). We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: The role involves building and maintaining automated UI and API test suites using Python to ensure the quality of web applications and APIs within an Agile team. The engineer collaborates closely with a US-based team, participates in Scrum ceremonies aligned with EST, and performs database validations to maintain data integrity. 🗂️ Requirements: 3+ years of experience in test automation, Strong programming skills in Python, Hands-on experience with Pytest or other Python testing frameworks, Experience in REST API testing, Experience in UI test automation with Playwright, Strong knowledge of SQL, Experience with relational databases such as MySQL, Willingness to work later shift aligned with EST timezone 📃 Skills: Python, Pytest, Playwright, SQL, MySQL, REST, API, Jira, Scrum, Robot, CI/CD 🏢 Description: We are looking for a skilled QA Automation Engineer with Python to join our Agile development team. In this role, you will be responsible for ensuring the quality of our web applications and APIs by building and maintaining robust automated test suites. You will work closely with a US-based team, meaning this role requires working a later shift to align with EST timezone Scrum ceremonies. If you have a strong Python background and love working with modern tools like Playwright and Pytest, we want to hear from you! Responsibilities: Test Design: Analyze Jira user stories and requirements to create comprehensive test plans and test cases. Automation Development: Design, develop, and maintain automated UI and API tests using Python, Playwright, and Pytest. Database Verification: Write and execute SQL queries to validate data integrity within MySQL (or similar relational databases). Agile Collaboration: Actively participate in Scrum meetings (daily stand-ups, sprint planning, etc.) in alignment with the EST timezone. Quality Advocacy: Identify, record, document thoroughly, and track bugs, working closely with developers to ensure timely resolution. Min requirements: Experience: 3+ years of proven experience in Test Automation. Programming: Strong coding ability in Python . Frameworks: Hands-on experience with Pytest (or other standard Python testing frameworks). UI & API Testing: Proven experience in REST API testing and modern UI test automation using Playwright . Databases: Solid understanding of SQL and experience working with relational databases (e.g., MySQL). Working Hours: Flexibility and willingness to work a later shift (e.g., afternoon/evening in CET) to ensure overlap with EST timezone Scrum meetings. Would be a plus: Experience with Robot Framework . Previous experience working in distributed teams across different time zones. Familiarity with CI/CD pipelines and integrating automated tests into the deployment process. We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Senior QA Automation Engineer focused exclusively on backend and REST API testing for high-scale, high-availability systems hosted on AWS. The role involves building and scaling automated test frameworks, defining advanced test strategies (E2E, contract, load, chaos), and integrating tests into CI/CD pipelines. There is no UI testing involved, with full ownership of backend quality processes and tools. 🗂️ Requirements: 5+ years QA Automation experience focused on backend/API testing, Strong programming skills in JavaScript, Python, or Golang, Hands-on experience testing REST APIs, Experience with E2E, contract, load, and chaos testing, Experience building and maintaining backend test automation frameworks, Experience integrating automated tests into CI/CD pipelines, Proficiency with Git and version control workflows, Experience working with high-scale, high-availability systems, Willingness to work exclusively on backend testing (no UI testing) 📃 Skills: JavaScript, Python, Golang, Playwright, Cypress, K6, Gremlin, PACT, REST, Git, CI/CD, AWS, SQS, SNS, DynamoDB, S3 🏢 Description: We are looking for a Senior QA Automation Engineer who breathes backend testing. If you are tired of UI testing and want to focus 100% on complex backend APIs , this is the role for you. There is absolutely zero UI testing involved here. You will be responsible for testing high-scale, high-availability backend systems hosted exclusively on AWS. While our team currently leans towards JavaScript and tools like Playwright or Cypress, we are highly flexible - if you are a backend testing expert who prefers Python or Golang and uses different frameworks, we want to talk to you! Essential functions Own Backend Quality: Develop, maintain, and scale QA tools and frameworks specifically designed for complex REST API and backend automated testing. Define Test Strategy: Design and execute complex end-to-end, contract, load, and chaos tests integrated seamlessly into CI/CD pipelines. Collaborate & Optimize: Work closely with Engineering and Product teams to identify application faults, improve QA processes, and optimize test metrics across the organization. Document & Report: Create comprehensive test plans, maintain automation scripts, report bugs, and communicate quality metrics effectively. Promote Best Practices: Act as a QA advocate, defining design principles for automated test procedures and elevating the overall testing culture within the team. Hands-on Exploration: Execute exploratory and manual API tests when necessary to uncover edge cases in high-availability environments. Qualifications 5+ years of experience in QA Automation with a strict focus on Backend/API testing (this role does not involve any front-end/UI testing). Programming Proficiency: Strong coding skills in JavaScript (preferred), Python , or Golang (Please note: standard Java is not a fit for this stack) . Testing Frameworks: Familiarity with modern automation tools. We prefer Playwright or Cypress, but we are highly flexible if you use other robust backend testing tools (e.g., K6, Gremlin, PACT). Deep API Knowledge: Extensive hands-on experience testing REST APIs and implementing various test types (E2E, contract, load, chaos). Engineering Practices: Proficiency with Git, version control workflows, and integrating tests into CI/CD pipelines. Communication: Fluency in English (B2 level or above) with the ability to clearly explain test progress and quality issues. Would be a plus Hands-on experience with AWS services (specifically SQS, SNS, DynamoDB, and S3). Background in testing financial systems or working in high-scale, distributed environments. Solid understanding of observability practices (monitoring, tracing, alerting). A proven track record of proactively improving QA processes and establishing quality metrics within a team. We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: The offer is for a QA Engineer responsible for ensuring the quality and reliability of business applications through manual and automated testing across the full software delivery lifecycle. The role involves creating and maintaining automated tests, integrating them into CI/CD pipelines, and collaborating closely with development teams in an AI-driven environment. It combines hands-on testing, quality risk analysis, and continuous improvement of QA practices. 🗂️ Requirements: Minimum 4 years of experience in software quality assurance, Hands-on experience in manual testing, Hands-on experience in test automation, Programming skills in Python, Java, C#, or similar, Experience with version control systems, Knowledge of test automation frameworks, Experience integrating automated tests with CI pipelines, Understanding of software development practices, Ability to analyze requirements and define test coverage, Experience using AI tools in engineering work 📃 Skills: Python, Java, C#, Git, CI/CD, Automation, Testing, AI 🏢 Description: We are looking for a QA Engineer who will help ensure that business applications are reliable, user-friendly, and ready for production use. In this role, you will work closely with developers, project stakeholders, and end users to understand requirements, identify risks early, and support quality throughout the full software delivery lifecycle. The position combines manual testing, test automation, collaboration with technical teams, and continuous improvement of QA practices. It is well suited to someone who enjoys finding issues, improving processes, and using both technical skills and curiosity to deliver better software. The company operates in the financial sector and has a strong AI-oriented culture. Artificial intelligence is used in a practical way to support daily work, automate repetitive tasks, improve efficiency, and speed up delivery. As part of the recruitment process, the candidate’s AI mindset will also be assessed, including openness to using modern AI tools, ability to learn with AI support, critical review of AI-generated outputs, responsible usage, and readiness to identify areas where AI can improve QA and engineering work. Responsibilities Prepare and maintain test documentation, including test scenarios, test cases, and testing procedures. Perform different types of testing, including functional, regression, integration, UI, data validation, exploratory, and end-to-end testing. Verify applications from both technical and user perspectives to identify defects and usability improvements. Work with business users to clarify requirements and understand expected system behavior. Cooperate with developers, project managers, and other stakeholders during planning, daily meetings, and delivery activities. Identify quality risks early and suggest practical ways to reduce them. Support improvements in testing standards, development quality, and release readiness. Create and maintain automated tests using programming languages such as Python, Java, or C#. Participate in code reviews related to test automation and quality tooling. Help integrate automated tests into CI/CD processes. Share QA knowledge with the team and contribute to internal documentation or user guidance. Requirements At least 4 years of experience in software quality assurance. Hands-on experience with manual testing and test automation. Programming skills in Python, Java, C#, or a similar language. Understanding of software development practices and ability to work closely with engineering teams. Experience with version control tools such as Git or similar systems. Knowledge of test automation frameworks and interest in connecting automated tests with CI pipelines. Ability to analyze requirements, spot risks, and translate them into effective test coverage. Comfortable using AI tools to support learning, testing, automation, and daily engineering tasks. Responsible approach to AI-assisted work, including validation, critical thinking, and awareness of limitations. Strong problem-solving skills and attention to detail. Good communication skills and ability to work with both technical and non-technical stakeholders. Proactive attitude, willingness to learn, and flexibility in taking on different QA-related responsibilities.

🏢 Summary: Senior QA Automation & Performance Test Engineer role focused on designing, developing, and executing automated and performance test solutions to ensure quality, scalability, and reliability of complex software systems. The position involves owning non-functional testing activities, building automation frameworks, and optimizing application performance across web, microservices, and cloud environments. The role requires strong programming expertise and hands-on experience with enterprise-grade testing and monitoring tools. 🗂️ Requirements: Strong proficiency in Java, Strong proficiency in C, Experience with LoadRunner Enterprise, Experience with Selenium or Cucumber, Hands-on experience in automation testing across web, microservices, databases, and cloud applications, Experience with CI/CD pipelines, Experience building performance and load testing frameworks, Experience with logging and APM tools, Knowledge of Linux performance tuning, Knowledge of database optimisation techniques, Experience with WebSphere, Experience with Tomcat, Ability to analyse logs and database queries, Experience managing test and defect lifecycle in Agile and Waterfall 📃 Skills: Java, C, LoadRunner, Selenium, Cucumber, Gatling, Locust, AppDynamics, AppInsights, Splunk, Linux, SQL, WebSphere, Tomcat, CI/CD 🏢 Description: We are seeking a highly skilled Senior QA Automation & Performance Test Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, maintaining, and executing automated and performance test scripts to ensure the quality, reliability, and scalability of our software products. This role requires a strong background in software development, test automation frameworks, performance testing, and a passion for delivering high-quality solutions. This position offers a flex-hybrid model of work, with 3 days per week working from the office located in Wroclaw or Krakow. Responsibilities Collaborate with cross-functional teams to understand software requirements and develop comprehensive test plans, cases, and scenarios Design, develop, and maintain automated and performance test scripts using industry-standard tools and frameworks Own and manage all non-functional testing activities, including performance, stress, load, and regression testing Continuously research and evaluate new testing technologies, tools, and methodologies to improve efficiency and effectiveness Advocate for best practices in testing and quality assurance, contributing to process improvement Develop custom tools and integrate with existing tools to increase engineering productivity Ensure quality, security, reliability, and compliance by testing both functional and non-functional requirements Coordinate test activities within the pod and across other test managers as required Enable and drive a culture of 'automation-first' in the QA space Perform in-sprint automation testing and build regression test suites Analyse errors using logs, database queries, legacy and Unix file systems, etc Expertly manage the complete test and defect lifecycle across agile and waterfall methodologies Generate test reports and share status across multiple levels Capacity planning and management of web, microservices, and mobile applications Performance monitoring and tuning of applications using tools like AppDynamics, AppInsights, Splunk Use quantitative methods to identify performance and throughput bottlenecks Work on large-scale migration projects for financial institutions’ core platforms Requirements Strong proficiency in programming languages such as Java and C Strong experience in LoadRunner Enterprise (2023 or earlier) Experience with test automation frameworks such as Selenium, Cucumber, or similar BDD frameworks Hands-on experience with automation testing for desktop, web, data services, microservices, database, ETL, cloud-based applications, middleware, and OS Experience with CI/CD pipelines Expertise in building frameworks for performance and load tests using tools like Gatling, Locust, LoadRunner Experience with logging and APM tools (AppDynamics, AppInsights, Splunk) Good understanding of Linux performance tuning and database optimisation techniques Experience with WebSphere and Tomcat application servers Strong analytical skills, proactive, detail-oriented, and comfortable working in dynamic, fast-paced environments Excellent communicator with strong written and verbal English skills We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: QA Engineer role focused on ensuring the quality of a complex POS and back-office platform for retail and hospitality sectors through manual, automated, API, and performance testing. The position involves testing sales, payment, inventory, and integration processes, supporting CI/CD pipelines, and collaborating with cross-functional teams. The company offers flexible technology choices for test automation, professional development opportunities, and work in an experienced engineering environment. 🗂️ Requirements: 5+ years of software testing experience, Experience testing complex business systems, Experience creating test cases, test scenarios, and test documentation, Experience designing and maintaining automated UI or API tests, Experience executing load, stress, or performance tests, Programming or scripting skills, Experience testing REST APIs, SQL knowledge, Ability to analyse application logs and performance test results, Understanding of web technologies, APIs, databases, and system architecture, English level B2 or higher 📃 Skills: QA, REST, SQL, Java, Python, Karate, JMeter, Git, YouTrack, Docker, Linux, CI/CD, API, ISTQB 🏢 Description: We are looking for a QA Engineer to join the team developing Aquila Flex and take responsibility for the quality of a complex POS and back-office system used in the retail and hospitality sectors. The system supports sales, payments, returns, promotions, inventory management, reporting, fiscal devices, and integrations with external systems. Responsibilities Analysing business and technical requirements and preparing test cases, test scenarios, and test documentation. Performing functional, integration, regression, and end-to-end testing. Designing, developing, and maintaining reliable and scalable automated tests for APIs and user interfaces. Designing and executing load, stress, and performance tests based on realistic system usage scenarios. Testing sales, payment, and inventory processes, as well as integrations with external systems and devices. Testing REST APIs and verifying data in databases. Analysing test results, application logs, and system behaviour to identify defects, performance bottlenecks, and root causes. Documenting defects and collaborating with developers, Business Analysts, the Product Owner, Project Manager, and Designer. Supporting the integration of automated tests into CI/CD processes. Participating in release preparation, acceptance testing, pilot deployments, and production rollouts. Requirements At least 5 years of experience in software testing. Experience in testing complex business systems. Practical experience in creating test cases, test scenarios, and test documentation. Practical experience in designing, developing, and maintaining automated UI or API tests. Practical experience in preparing and executing load, stress, or performance tests. Good programming or scripting skills and an understanding of software development practices. Ability to independently analyse requirements, business processes, edge cases, and system behaviour under different workloads. Experience in testing REST APIs. SQL knowledge sufficient to independently verify data. Ability to analyse application logs and performance test results. Good understanding of web technologies, APIs, databases, and basic system architecture. English at a minimum B2 level. Nice to Have Experience with POS, ERP, e-commerce, payment systems, or retail solutions. Knowledge of sales, inventory, or fiscal processes. Experience with Java and/or Python, particularly in the context of test automation. Experience with API test automation frameworks such as Karate or similar solutions. Experience with performance testing tools such as JMeter or comparable solutions. Experience integrating automated tests into CI/CD pipelines. Knowledge of Git and YouTrack. Familiarity with containerised environments such as Docker. Basic knowledge of Linux systems. ISTQB Foundation Level certification. The technology choice for test automation is open. We are not tied to a specific programming language or toolset, but experience with Java, Python, Karate, JMeter, or comparable solutions would be beneficial. What we offer: Employment in a reputable organization (ITwiz BEST100), operating in accordance with international quality and security standards (ISO 9001, ISO 27001) A non-corporate atmosphere and a flat organizational structure Opportunities for continuous development through: working with a variety of technologies on projects for well-known clients collaboration with an experienced team of experts who are eager to share their knowledge co-financing of training and certifications Employee Referral Program Participation in charitable initiatives, including cooperation with the Joanna Radziwiłł Foundation “Opiekuńcze Skrzydła” and involvement in the “Gwiazdorzymy” holiday campaign A diverse and inclusive work environment – our company brings together representatives of four generations Equal development opportunities – 50% of managerial and leadership positions are held by women Organizational culture based on values: we act with good intentions we share knowledge we take responsibility we continuously improve people are our top priority we act with a clear sense of purpose and meaning we communicate honestly and professionally​

🏢 Summary: The offer is for an experienced QA Engineer to ensure high software quality in a modern microservices environment, taking ownership of test strategy and automation across the full development lifecycle. The role focuses on API and end-to-end test automation, CI/CD integration, and maintaining quality standards in distributed systems. 🗂️ Requirements: 5+ years of experience in software testing or QA, Hands-on experience in test automation, Experience with API testing, Experience with end-to-end testing, Practical knowledge of Python, Practical knowledge of Playwright, Practical knowledge of Robot Framework, Practical knowledge of SQL, Understanding of microservices architecture, Understanding of cloud-based systems, Experience working in Agile environments 📃 Skills: Python, Playwright, Robot, SQL, API, Microservices, CI/CD, Agile, Cloud 🏢 Description: We are looking for an experienced QA Engineer to join a team delivering scalable, high-impact software solutions in a modern microservices environment . In this role, you will be responsible for ensuring high software quality and taking ownership of testing strategy across the full development lifecycle . ✅ Your responsibilities: Collaborate closely with development and product teams including Product Owners and Architects to define quality standards and testing strategies Prepare and maintain test plans and test cases Develop and maintain automated tests for API and end-to-end layers in distributed systems Perform manual testing for edge cases and complex business scenarios Ensure system quality, performance, and reliability Work with CI/CD pipelines to integrate automated tests and support smooth releases Contribute to improving QA processes and introducing best practices within the team Analyze requirements and system architecture to design effective testing approaches 🧠 Our requirements: Hands-on experience in QA, including test automation 5+ years of experience in software testing or similar role Experience with API and end-to-end testing Practical knowledge of Python, Playwright, Robot Framework, and SQL Understanding of microservices architecture and modern cloud-based systems Understanding of Agile software development processes Strong analytical and teamwork skills with a proactive mindset 🌟 What we offer: Work on challenging and impactful technology projects in a distributed systems environment Collaboration with an experienced and supportive team Opportunities for growth and real influence on product quality Flexible working hours, remote or hybrid setup Training budget and continuous professional development opportunities

🏢 Summary: QA Engineer role focused on ensuring high software quality in a modern microservices environment through manual and automated testing across the full development lifecycle. The position involves defining testing strategies, developing API and end-to-end automated tests, and integrating tests into CI/CD pipelines. The role emphasizes ownership of quality standards in distributed systems. 🗂️ Requirements: 5+ years of experience in software testing, Hands-on experience in QA and test automation, Experience with API testing, Experience with end-to-end testing, Practical knowledge of Python, Practical knowledge of Playwright, Practical knowledge of Robot Framework, Practical knowledge of SQL, Understanding of microservices architecture, Understanding of cloud-based systems, Experience working with CI/CD pipelines, Knowledge of Agile methodologies 📃 Skills: Python, Playwright, RobotFramework, SQL, API, CI/CD, Microservices, Agile, Cloud 🏢 Description: We are looking for an experienced QA Engineer to join a team delivering scalable, high-impact software solutions in a modern microservices environment . In this role, you will be responsible for ensuring high software quality and taking ownership of testing strategy across the full development lifecycle . ✅ Your responsibilities: Collaborate closely with development and product teams including Product Owners and Architects to define quality standards and testing strategies Prepare and maintain test plans and test cases Develop and maintain automated tests for API and end-to-end layers in distributed systems Perform manual testing for edge cases and complex business scenarios Ensure system quality, performance, and reliability Work with CI/CD pipelines to integrate automated tests and support smooth releases Contribute to improving QA processes and introducing best practices within the team Analyze requirements and system architecture to design effective testing approaches 🧠 Our requirements: Hands-on experience in QA, including test automation 5+ years of experience in software testing or similar role Experience with API and end-to-end testing Practical knowledge of Python, Playwright, Robot Framework, and SQL Understanding of microservices architecture and modern cloud-based systems Understanding of Agile software development processes Strong analytical and teamwork skills with a proactive mindset 🌟 What we offer: Work on challenging and impactful technology projects in a distributed systems environment Collaboration with an experienced and supportive team Opportunities for growth and real influence on product quality Flexible working hours, remote or hybrid setup Training budget and continuous professional development opportunities

🏢 Summary: QA Engineer role focused on manual testing of web and mobile applications in a DevOps-oriented environment with responsibility for API, database, and release validation. The position emphasizes practical use of AI tools in daily QA activities and collaboration within cross-functional teams. The offer includes professional development support, learning platforms, and a full benefits package. 🗂️ Requirements: Around 2 years of manual software testing experience, Experience testing web or mobile applications, SQL skills for data validation and querying, Experience with AI tools in QA work, API testing experience, Experience analyzing API traffic with proxy tools, Familiarity with CI/CD environments, Experience with test management platforms, Ability to work in cross-functional teams, Strong attention to detail 📃 Skills: SQL, Postman, Proxyman, Charles, Jira, TestRail, Bitbucket, Bitrise, Claude, Gemini, CI/CD, API 🏢 Description: We are looking for a quality-focused QA Engineer with hands-on experience in testing web or mobile applications. You will work within a DevOps-oriented setup, supporting release cycles and ensuring stable product delivery. We’re particularly interested in someone who actively applies AI tools in everyday QA work to increase efficiency and improve results. Tasks - Carry out manual testing of web and mobile solutions - Prepare and maintain test scenarios, cases, and documentation - Perform API and database validation using tools like Postman and SQL - Inspect and debug API communication with proxy tools (Proxyman, Charles or similar) - Contribute to release workflows within CI/CD environments - Track issues and manage test activities in Jira / test management tools - Use AI-driven tools to support and optimize testing activities Expectations - Around 2 years of experience in manual software testing - Solid skills in SQL for data validation and querying - Practical experience using AI tools (Claude, Gemini, etc.) in daily QA work - Experience in API testing and traffic analysis - Familiarity with CI/CD environments (e.g. Bitbucket, Bitrise or equivalent) - Experience with test management platforms (TestRail or similar) - Ability to work effectively in cross-functional teams - Strong attention to detail and a quality-first mindset We offer - Ongoing support from a dedicated agent, taking care of your project continuity, client contact, necessary formalities, work comfort and development - Consultant Development Program with advice on growth planning based on the latest trends and market needs in IT - Access to 7N Learning & Development platform with webinars, articles, industry reports, and development events - Integration events including annual Kick-Off trips, Christmas parties, Summer Olympics sports events, family picnics, and movie premieres - Opportunities to participate in knowledge transfer initiatives within the 7N Services offering - Access to experienced IT experts and long-term professional networking - Complete benefits package including medical care, life insurance, sports cards, and shopping discounts

🏢 Summary: The role focuses on ensuring high quality across data pipelines and analytics by designing and executing tests for ETL workflows and large-scale data transformations. It involves building and maintaining automated testing solutions using Python and Spark technologies, validating data accuracy, and collaborating with Data Engineers and stakeholders. The position also includes improving QA processes, supporting integration and performance testing, and creating reporting dashboards for quality metrics. 🗂️ Requirements: Strong hands-on experience with Python for automation, scripting, and data validation, Good working knowledge of PySpark, Good working knowledge of Spark SQL, Experience with Azure Data Factory for ETL orchestration and validation, Experience with Azure Databricks for large-scale data processing, Ability to build Power BI reports for QA visibility, Experience with testing frameworks in data/analytics environments, Understanding of QA practices for data-centric systems, Ability to design and maintain automated tests for data pipelines 📃 Skills: Python, PySpark, SparkSQL, Azure, DataFactory, Databricks, PowerBI, ETL, SQL, Automation, Testing 🏢 Description: We’re looking for a QA Engineer with strong hands-on skills to help ensure high quality across our data and analytics work. In this role, you’ll design and run tests for data pipelines and ETL workflows, build and maintain automation, and work closely with Data Engineers and business stakeholders to validate data accuracy and reliability. If you enjoy digging into data, improving testing frameworks, and building practical automation that catches issues early, you’ll feel at home here. Responsibilities: Design and improve testing processes for data pipelines, ETL workflows, and analytics outputs. Develop and maintain automated tests and utilities in Python, PySpark, and Spark SQL to validate transformations and data integrity. Execute and report on test cases for new features and bug fixes using appropriate tools and frameworks. Collaborate with Data Engineers to validate end-to-end pipelines and support delivery during busy periods (including occasional help with data transformations). Apply best practices across test automation, integration testing, performance testing, and manual testing where needed. Write clean, scalable test code that’s easy to maintain and provides good coverage. Create and maintain documentation for test processes, test cases, and results. Work with stakeholders to understand testing needs and recommend practical solutions aligned with business goals. Build simple Power BI dashboards to track test results and quality metrics. Requirements: Strong hands-on experience with Python (automation, scripting, data validation). Good working knowledge of PySpark and Spark SQL , especially for testing large-scale data transformations. Experience with Azure Data Factory for orchestrating and validating ETL workflows. Experience with Azure Databricks for data processing and testing data pipelines at scale. Ability to build simple Power BI reports for visibility into QA results. Familiarity with testing frameworks and approaches used in data/analytics environments. Understanding of QA practices for data-centric systems (automation, integration, performance testing, data quality checks). Strong communication skills and a collaborative mindset.