QA Innovation Lead

🏢 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: The offer is for a QA Engineer to support the full Software Development Lifecycle in a fast-paced product environment, leveraging AI-assisted tools to design, generate, and maintain test assets. The role focuses on embedding quality across planning, development, and release stages while collaborating closely with developers and product teams. It combines traditional QA practices with modern AI-driven and automation-oriented approaches in a remote setup. 🗂️ Requirements: Basic to intermediate experience in software QA, testing, or software development, Knowledge of at least one programming or scripting language, Ability to use AI-assisted development tools in QA processes, Understanding of SDLC processes, Ability to collaborate within cross-functional technical teams, Critical thinking in identifying and mitigating quality risks 📃 Skills: QA, SDLC, JavaScript, Python, Java, AI, Automation, CI/CD, Agile, Scrum 🏢 Description: About the Role We are looking for a proactive and adaptable QA Engineer to support the Software Development Lifecycle (SDLC) for a fast-moving product track. This role is ideal for someone who is technically curious, AI-savvy and eager to collaborate closely with developers, product teams and QA leadership. Rather than relying solely on traditional manual QA approaches, this role will leverage AI-assisted development tools to help design, generate, and maintain test assets and quality processes. Key Responsibilities Support the Software Development Lifecycle (SDLC) by contributing to quality processes across planning, development, and release stages, Use AI-assisted development tools to help design, generate, and maintain test assets, Collaborate closely with developers, product teams, and QA leadership to define and uphold quality standards, Communicate findings clearly and adapt processes in response to a changing product environment, Demonstrate critical thinking in identifying quality risks and propose practical, pragmatic solutions. Required Qualifications Basic to intermediate experience in software QA, testing, or software development, Knowledge of at least one programming or scripting language (JavaScript, Python, Java or equivalent), Interest in AI-assisted development and modern engineering practices, Strong communication and collaboration skills, Proactive and curious approach - willing to learn and grow, Ability to think critically and adapt quickly in a changing environment. Nice to Have Exposure to test automation tools or CI/CD processes, Familiarity with Agile/Scrum environments, Experience using AI coding assistants or productivity tools. All our positions are Remote and are available as Full Time Employment or B2B Contracts

🏢 Summary: Lead the design and implementation of a comprehensive QA and performance testing strategy for enterprise AI and LLM solutions, ensuring reliability, compliance, and scalability of complex AI agent workflows. The role focuses on AI model evaluation, automated performance engineering, and CI/CD quality gate integration. You will oversee end-to-end testing architecture across functional, non-functional, and AI-specific validation domains. 🗂️ Requirements: 10+ years of enterprise QA leadership experience, Experience designing functional, non-functional, and performance test architectures, Hands-on experience with AI/LLM evaluation metrics (BLEU, ROUGE, perplexity), Experience implementing load, stress, and chaos testing frameworks, Experience building CI/CD test pipelines in Azure DevOps or GitHub Actions, Experience with automated API testing using Pytest or Postman, Experience validating multi-step AI agent workflows, Knowledge of ML/LLM lifecycle and model promotion pipelines, Experience with data lineage and governance tools (Purview or Unity Catalog), Experience with synthetic data generation and dataset versioning, Experience working in regulated industries with compliance requirements 📃 Skills: AI, LLM, BLEU, ROUGE, Perplexity, Pytest, Postman, Azure, GitHub, CI/CD, Purview, Unity, Python, API, Chaos, LoadTesting, StressTesting, SyntheticData, ML, DevOps 🏢 Description: QA & Performance Engineering Lead (AI/LLM Focus) The Role We are seeking a high-caliber QA and Performance Engineering Lead to spearhead the testing strategy for enterprise-grade AI and LLM solutions. In this role, you will define the architecture for functional, non-functional, and performance testing, ensuring that complex AI agent workflows and large-scale applications meet the highest standards of reliability and compliance. You will act as a bridge between traditional QA excellence and the cutting-edge requirements of GenAI evaluation. Core Responsibilities & Technical Expertise Strategic QA Leadership: Leverage 10+ years of experience leading enterprise-wide testing initiatives within Fortune 500 environments to design comprehensive QA architectures. AI/LLM Specialized Evaluation: Implement advanced metrics for model assessment, including BLEU, ROUGE, perplexity , and specialized scoring for hallucination and grounding rates . Performance & Resilience Engineering: Build frameworks for load, stress, and chaos testing to ensure system stability under extreme conditions and peak workloads. Automation & Orchestration: Engineer robust CI/CD test pipelines using Azure DevOps or GitHub Actions , focusing on automated API testing (Pytest/Postman) and integrated test harnesses. Agentic Workflow Validation: Design testing strategies for multi-step AI agents , covering tool chaining, orchestration, and context injection accuracy. Data Governance & Compliance: Apply deep knowledge of data lineage (Purview/Unity Catalog) and maintain strict traceability and auditability standards required in regulated industries. Lifecycle Management: Oversee model release gates, registry promotions, and the management of synthetic datasets and versioning. Key Deliverables Unified Testing Framework: A standardized taxonomy and coverage model spanning unit, integration, E2E, and AI agent workflows. AI Evaluation Suite: A comprehensive suite for validating model consistency, toxicity, and correctness , supported by Proof-of-Concept (PoC) validations. Automated Performance Harness: Scalable workload models designed for peak-load scenarios and resiliency benchmarking. Smart Quality Gates: Automated pass/fail scoring mechanisms embedded directly into release pipelines across all quality dimensions. Advanced Observability: Implementation of "Golden Dashboards" tracking real-time metrics such as latency-per-thought, grounding quality, and functional pass rates. Professional Profile Expertise in Enterprise QA Architecture (Functional + Non-functional + Performance). Deep understanding of ML/LLM lifecycle and model promotion pipelines. Strong background in Regulated Industries (ensuring compliance and audit readiness). Hands-on experience with Synthetic Data generation and dataset versioning.

🏢 Summary: Senior QA Automation Engineer role focused on defining and leading test automation strategy for a complex enterprise platform and its integrations. The position involves designing, implementing and maintaining automated end-to-end regression suites using Tricentis Tosca, ensuring quality across critical business workflows. The role also integrates automated testing into CI/CD pipelines and drives testing standards within Agile enterprise environments. 🗂️ Requirements: 8+ years experience in QA or Test Automation, Senior-level experience in enterprise test automation, Strong hands-on experience with Tricentis Tosca, Experience testing enterprise applications and business workflows, Experience with Microsoft Dynamics 365 or similar CRM platforms, Experience with UI, API and integration testing, Experience designing regression, smoke, risk-based, negative and boundary tests, Experience integrating automated tests into CI/CD pipelines, Experience managing test data for automated testing, Ability to analyze failures across system layers, Experience working in Agile environments 📃 Skills: Tosca, Dynamics365, CRM, UI, API, REST, SQL, CI/CD, Regression, Smoke, Integration, Automation, Telemetry, Agile 🏢 Description: Senior QA Automation Engineer (Enterprise Platforms) Your Role We are looking for an experienced Senior QA Automation Engineer to take ownership of the test automation strategy for a complex enterprise platform and its integrations. In this role, you will design, build and maintain automated test suites that ensure reliable regression coverage across critical business workflows. You will collaborate closely with engineering teams, product stakeholders and business representatives to translate requirements into high-quality automated tests and clear release readiness indicators. You will also contribute to improving testing standards, promoting testability within the development process and mentoring other team members in QA best practices. Technology & Experience Must have Senior-level experience in test automation within enterprise systems . Strong hands-on experience with Tricentis Tosca (modules, reusable components, test case design, execution and reporting). Experience testing complex enterprise applications , including role-based access and business workflows. Experience with Microsoft Dynamics 365 or similar enterprise CRM / business platforms. Strong understanding of test design strategies , including: regression testing smoke testing risk-based test coverage negative and boundary test cases Experience with UI, API and integration testing . Experience managing test data and ensuring stability of automated test suites. Experience integrating automated tests into CI/CD pipelines . Ability to investigate failures across system layers and collaborate with engineering teams to resolve issues. Strong documentation and reporting skills. Nice to have Experience working with enterprise CRM ecosystems or Microsoft-based platforms . Familiarity with REST API testing . Basic knowledge of SQL for validation and test data analysis. Understanding of system integrations and enterprise workflows . Experience with monitoring tools and application telemetry. Responsibilities Define and continuously improve the automation testing strategy for key business processes. Design and implement automated end-to-end test scenarios using Tricentis Tosca . Maintain and stabilize automated regression suites. Ensure proper test coverage across different user roles and system configurations . Integrate test execution into CI/CD pipelines and support quality gates for releases. Manage test data and environment readiness for automated testing. Provide clear test reporting and quality insights for stakeholders. Work closely with engineering and product teams to ensure testable acceptance criteria . Promote QA best practices and support the team in improving testability and defect prevention . Your Profile Around 8+ years of experience in QA or Test Automation . Strong hands-on experience with Tricentis Tosca . Experience testing enterprise business platforms (e.g. Microsoft Dynamics 365 or similar) . Experience working with large distributed engineering teams . Experience working in Agile environments . Strong analytical and problem-solving skills. Ability to mentor and support other engineers. Strong collaboration and communication skills.

🏢 Summary: Senior Test Manager role focused on leading quality assurance initiatives with strong emphasis on automation and AI-driven testing. The position combines hands-on test planning and execution with defining automation strategy and integrating AI solutions. It involves leading a QA team while ensuring high product quality through metrics, collaboration, and modern testing practices. 🗂️ Requirements: Strong experience in QA methodologies and practices, Proven experience in developing automation strategies, Hands-on experience with AI techniques in testing, Experience in test planning and execution across multiple test types, Experience leading and mentoring QA teams, Experience with CI/CD pipelines, Knowledge of cloud-based testing environments 📃 Skills: Automation, AI, Testing, QA, CI/CD, Cloud, Metrics, Frameworks 🏢 Description: Summary The role of Test Manager - Senior is primarily focused on leading the quality assurance efforts for the customer's products, with a special emphasis on leveraging automation and AI technologies to enhance testing efficiency and product quality. Responsibilities: Lead and Mentor: Manage and guide a team of QA members to foster continuous improvement. Automation Strategy: Develop and implement a comprehensive automation strategy for the products. AI in Testing: Explore and integrate AI-powered testing solutions for better testing capabilities. Test Planning and Execution: Create and carry out test plans for new features and products, covering various testing types. Collaboration: Engage with cross-functional teams to align on product requirements and ensure quality implementation. Reporting and Metrics: Establish and monitor key quality metrics and provide regular updates to stakeholders. Stay Current: Keep abreast of QA trends and technologies, promoting their adoption as needed. Key Requirements: Strong experience in quality assurance methodologies and practices. Proven track record in developing automation strategies. Hands-on experience with AI techniques applicable to testing. Excellent leadership and mentoring capabilities. Proficiency in test planning and execution across various test types. Nice to Have: Familiarity with advanced QA tools and frameworks. Experience in a leadership role within QA teams. Knowledge of cloud-based testing environments. Continuous integration/continuous delivery (CI/CD) experience. Other Details: Location: India, preferably Chennai. Team Structure: Lead a team of QA members. Work Environment: Hands-on involvement along with leadership tasks. Technologies: Focus on automation and AI solutions in testing.

🏢 Summary: The offer is for a Test/Quality Engineer to drive quality engineering practices within a DevOps environment, focusing on risk-based testing, preventive defect strategies, and advanced test automation integrated into CI/CD pipelines. The role includes building quality gates, implementing non-functional testing, and modernizing the Test & Quality stack with AI-driven improvements. It emphasizes end-to-end ownership of quality across the software delivery lifecycle. 🗂️ Requirements: Bachelor’s degree in Computer Science, Software Quality Engineering or related field, or equivalent experience, Minimum 5 years of experience in software quality engineering, Experience as QA/Test Engineer in Agile/DevOps environments, Hands-on experience with automated testing at unit, API, integration, and UI/E2E levels, Experience integrating automated tests into CI/CD pipelines, Proficiency in at least one programming or scripting language, Knowledge of DevSecOps practices including SAST and DAST, Experience designing test strategies and defining quality gates and metrics, Understanding of testing pyramid and risk-based testing approach, Experience with non-functional testing (performance, security, reliability), Experience with Agentic IDEs and agent-assisted testing workflows, Experience with automated visual validation and Design Tokens 📃 Skills: Playwright, Cypress, Selenium, REST, Java, C#, Python, JavaScript, TypeScript, Azure, GitHub, GitLab, CI/CD, SAST, DAST, DevOps, DevSecOps, AI, FMEA 🏢 Description: Project Context We are looking for a Test/Quality Engineer to join our DevOps team and drive a quality engineering mindset across the delivery lifecycle. You will focus on risk-based testing, failure scenario analysis, preventive defect practices, and high-impact automation integrated into CI/CD. You will also contribute to the business case and roadmap for modernizing our Test & Quality stack—including opportunities enabled by AI—to improve speed, reliability, and cost efficiency. Goals and Deliverables Key Responsibilities Design and implement automated tests at multiple levels (unit, API/contract, integration, UI, end-to-end) and ensure they run reliably in CI/CD. Embed quality engineering practices into DevOps delivery (shift-left and shift-right) with a focus on prevention over detection. Perform risk analysis and define test strategies based on business impact, critical user journeys, and failure scenarios (FMEA-style thinking). Build and maintain quality gates in pipelines (test execution, coverage thresholds, static analysis, vulnerability checks, artifact promotion rules). Improve testability and quality-by-design with engineering teams (observability, feature flags, resilient design, dependency mocking/service virtualization). Establish and monitor quality metrics (defect escape rate, flaky test rate, pipeline health, lead time to detect, MTTR contributors). Drive continuous improvement of test frameworks, tooling, and environments (test data, environment readiness, parallelization, execution time). Implement non-functional testing practices where relevant (performance, reliability, security testing coordination). Contribute to the Test & Quality transformation roadmap, including identifying where AI can accelerate: test design, test maintenance, defect triage, log analysis, and documentation. Identify and implement opportunities for automation and process improvements. Key Requirements Bachelor's degree in Computer Science, Software Quality Engineering, or a related field, or equivalent practical experience. 5 years of professional experience in software quality engineering. (e.g., 3+ years for mid-level, 5+ for senior) Proven experience as a QA/Test Engineer or Quality Engineer in Agile/DevOps environments. Strong quality engineering mindset: risk-based testing, preventive defect approach, and failure-mode thinking. Hands-on test automation experience (one or more of: Playwright, Cypress, Selenium; plus API automation with REST tools/frameworks). Familiarity with DevSecOps practices (SAST/DAST, dependency scanning) and secure testing fundamentals. Proficiency in at least one programming/scripting language used for automation (e.g., Java, C#, Python, JavaScript/TypeScript). Practical CI/CD experience (Azure DevOps, GitHub Actions, Gitlab pipelines or equivalent) including pipeline integration of automated tests. Experience designing test strategies and defining quality gates and metrics. Strong understanding of testing concepts across the pyramid (unit → integration → E2E) and how to optimize for speed and stability. Proficiency with Agentic IDEs and experience with "Agent in the loop" workflows for automatic testing and quality testing. Experience reading Design Tokens and ensuring the UI code matches the source of truth through automated visual validation. Other Details This position is focused on driving quality within a progressive DevOps environment and includes opportunities to work with cutting-edge technologies in test automation and AI. The role offers flexibility regarding remote work arrangements.

🏢 Summary: The offer is for a QA Lead responsible for defining and executing the overall quality strategy within Agile environments. The role combines hands-on backend validation with leadership of distributed QA teams and full ownership of testing processes. It requires deep integration of QA practices into SDLC/STLC and coordination of both manual and automated testing efforts. 🗂️ Requirements: Proven experience leading QA teams and quality processes, Proficiency in SQL, Proficiency in Linux, Hands-on experience working in Agile environments, Experience with defect tracking and reporting using JIRA and Xray, Experience integrating QA within SDLC/STLC processes 📃 Skills: SQL, Linux, Agile, JIRA, Xray, SDLC, STLC, Playwright, RobotFramework, Azure, Kafka, Git, CI/CD, ISTQB 🏢 Description: Your Responsibilities Quality Ownership: Defining QA strategy, quality standards, and the roadmap. Test Design: Designing risk-based tests and maintaining full test documentation. Leadership: Leading, mentoring, and coordinating work within distributed teams. Process Integration: Deeply embedding QA into the SDLC/STLC and Agile workflows. Execution: Coordinating manual and automated testing efforts. Management: Handling defect tracking and reporting via JIRA and Xray. Requirements (Must-have) Leadership Experience: Proven track record in leading QA teams and quality processes. Backend Skills: Proficiency in SQL and Linux for system validation. Agile Expertise: Practical, hands-on experience in Agile environments. Communication: Strong ability to communicate with both technical and business stakeholders. Nice to Have Automation: Experience with Playwright or Robot Framework . Modern Tech: Knowledge of Microsoft Azure , Apache Kafka , and Git . DevOps: Understanding of CI/CD pipelines. Certification: ISTQB .

🏢 Summary: Hands-on QA Automation Lead role responsible for leading a small team and building, maintaining, and improving automated test frameworks for UI, API, and end-to-end testing. The position focuses on ensuring high test coverage, integrating automation into CI/CD pipelines, and maintaining quality standards across releases. Remote initially with a later hybrid model in Warsaw. 🗂️ Requirements: Minimum 4 years of QA automation experience, Experience managing a test automation codebase, Practical experience with Playwright, Cypress, or Selenium, Strong knowledge of TypeScript or JavaScript, Experience with CI/CD pipelines such as GitHub Actions or Jenkins, Experience in API testing using Postman or Supertest, Knowledge of REST and WebSocket testing, Understanding of Git workflows, Experience working in Agile environment 📃 Skills: Playwright, Cypress, Selenium, TypeScript, JavaScript, GitHubActions, Jenkins, Postman, Supertest, REST, WebSocket, Git, CICD, Agile 🏢 Description: Please note: Remote mode but later hybrid in Warsaw Position Overview We are looking for a QA Automation Lead to manage and improve the daily quality engineering work for our platform. You will lead a small QA team, set testing standards for your group, and work directly on building and maintaining automation frameworks. This role is very hands-on. You will be responsible for test coverage, lead automation work, and make sure the releases in your area meet quality standards. Key Responsibilities Design, build, and maintain automated test frameworks for UI, API, and end-to-end testing. Lead a small team of QA engineers by giving practical guidance, reviewing code, and helping with daily tasks. Take responsibility for test coverage in your product areas and make sure problems are found before release. Integrate and maintain automated tests in CI/CD pipelines and manage feedback for the team. Set and maintain testing standards, processes, and documentation in the team. Work closely with developers and product managers to review requirements and create detailed test plans. Manage bug reviews and test failure analysis, working with engineers to fix issues. Continuously improve test reliability, speed, and coverage, and report risks to engineering leaders. Qualifications At least 4 years of experience in QA automation and experience managing a test automation codebase. Practical experience with tools like Playwright, Cypress, or Selenium. Good knowledge of TypeScript or JavaScript for writing and maintaining test scripts. Experience working with CI/CD test pipelines such as GitHub Actions, Jenkins, or similar tools. Experience testing APIs using tools like Postman or Supertest. Knowledge of REST API and WebSocket testing for real-time features. Understanding of Git workflows and agile development practices. Soft Skills Good communication skills and ability to explain quality issues to developers and product teams. Strong sense of responsibility for test results and solving problems. Organized and careful with work, able to manage tasks across different features and releases. Supportive team leader who likes helping junior engineers grow and improving overall quality.

🏢 Summary: The offer is for a Full Stack QA Engineer responsible for ensuring end-to-end quality of SaaS/web applications through manual testing, automation, and modern agentic AI practices. The role focuses on building robust UI and API test frameworks, integrating automated suites into CI/CD pipelines, and developing QA harnesses for complex workflows and integrations. It involves close collaboration with Product and Engineering to improve testability, quality standards, and release reliability. 🗂️ Requirements: 4–6+ years testing SaaS/web applications, 2+ years building UI and API automation frameworks, Experience with Playwright, Cypress, Postman, Insomnia, or Newman, Experience building tooling for test execution, simulation, or data management, Ability to analyze SQL queries, logs, and browser developer tools, Experience with Git-based workflows and CI/CD pipelines 📃 Skills: Playwright, Cypress, Postman, Insomnia, Newman, SQL, Git, CI/CD, Docker, Cloud, k6, JMeter, Lighthouse, axe, AI, SaaS, API, UI 🏢 Description: Role Description We're looking for a QA Engineer! Anitech Solutions Ltd is a dynamic IT services provider delivering innovative and unique AI technology solutions to businesses across multiple sectors. Alongside our core IT services, we are proud to offer tapybl, our flagship education-focused software product designed to enhance learning and engagement. We are looking for a highly capable Full Stack QA Engineer with a strong blend of manual testing, test automation, and modern agentic AI practices. Responsibilities Build and maintain end-to-end test coverage across UI, APIs, data, integrations, and core product workflows using a pragmatic test pyramid approach. Translate requirements and acceptance criteria into risk-based test plans and coverage maps. Create and execute test cases for new features, bug fixes, change requests, and release validation. Perform exploratory testing to uncover edge cases and integration risks, logging high-quality defects backed by technical evidence (logs, HAR files, browser traces). Build stable automated suites using modern agentic AI practices and integrate them directly into CI/CD pipelines with parallelization and results gating. Develop QA harnesses for testing, simulation, validation, execution, and monitoring of complex workflows, integrations, or regulated product flows. Maintain living QA documentation, including test plans, suites, runbooks, reports, and release readiness notes. Partner with Product and Engineering to improve acceptance criteria, optimize testability, track quality KPIs, and define team QA standards. Required Qualifications 4–6+ years testing SaaS/web applications (including deep manual testing) and 2+ years building UI/API automation frameworks. Hands-on experience with modern tools like Playwright, Cypress, Postman, Insomnia, or Newman. Experience building tooling for test execution environments, simulation, data management, or quality gates. Comfortable analyzing basic SQL queries, logs, browser developer tools, Git-based workflows, and CI artifacts. Strong bias for evidence, clear documentation, and the ability to make sound QA tradeoffs in fast-paced delivery environments. Preferred Qualifications Experience with modern agentic AI practices for QA, including prompt design, evaluation harnesses, and testing AI/ML features. Experience with workflow orchestration, event-driven architectures, or containerized test environments (Docker, Cloud). Background building internal QA platforms, evaluation frameworks, or release dashboards. Familiarity with performance testing (k6, JMeter) or accessibility testing (Lighthouse, axe). What Success Looks Like You can validate product features end-to-end across UI, API, data, integrations, and release workflows. You can build robust QA harnesses that make complex systems easier to test, measure, debug, and release confidently. You improve both product quality and engineering leverage. You help the team move faster by making regression, release validation, defect evidence, and quality reporting repeatable and reliable. You reduce manual repetition, flaky automation, unclear defects, and late-stage release risk. Working conditions Fully-remote based in Poland B2B

🏢 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