Test Engineer

🏢 Summary: DevOps Engineer role focused on designing and maintaining AI-driven CI/CD pipelines and deploying machine learning models across cloud and hybrid environments. The position involves integrating AI/ML tools into DevOps processes, optimizing infrastructure for AI workloads, and ensuring security and high availability. The engineer will work with modern cloud platforms and data technologies in international, agile projects. 🗂️ Requirements: Bachelor’s degree in Engineering, IT, Science or related field, Minimum 5 years of experience in DevOps or similar role, Hands-on experience with DevOps tools in AI/ML workflows, Experience with cloud platforms and AI/ML services, Experience deploying and scaling ML models in production, Proficiency in scripting or programming languages, Experience implementing automated testing for AI workflows, Knowledge of secure environments for AI-driven systems 📃 Skills: Jenkins, GitHubActions, Kubernetes, Docker, Terraform, AWS, Azure, GCP, MLflow, Kubeflow, Airflow, Python, Bash, YAML, TensorFlow, PyTorch, Scikit-learn, Grafana, AIOps 🏢 Description: About the role As a DevOps Engineer with AI integration skills, you will collaborate across multiple implementation streams and work closely with agile teams to achieve project and client goals. We are looking for passionate engineers ready to move our projects to the next level by leveraging modern technology stacks and AI-driven solutions. You will participate in international projects based on the latest data technologies and cloud platforms. Your key responsibilities Design and maintain CI/CD pipelines incorporating AI/ML tools and frameworks. Collaborate with AI teams to deploy and scale machine learning models in production environments. Integrate AI-based monitoring, alerting, and analytics tools to improve pipeline visibility and enable predictive analysis. Optimize infrastructure resource utilization for AI applications across cloud, on-premises, and hybrid environments. Ensure strong security practices within AI-driven pipeline ecosystems. Troubleshoot pipeline and infrastructure issues, especially those involving AI components, and ensure high availability. Monitor system performance and implement improvements using AI-enhanced tools. Skills and attributes for success Hands-on experience with DevOps tools such as Jenkins, GitHub Actions, Kubernetes, Docker, and Terraform. Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services. Familiarity with AI workflow tools such as MLflow, Kubeflow, or Airflow. Proficiency in scripting and programming languages (Python, Bash, YAML, etc.). Ability to implement automated testing frameworks for validating AI models and workflows. Experience building secure environments for AI-driven systems. Experience integrating AI-powered monitoring tools (AIOps, Grafana with ML plugins, or custom AI diagnostics). Requirements Bachelor’s degree in Engineering, IT, Science, or a related technical field. At least 5 years of experience in a corporate IT environment in a similar role. Proven experience with DevOps tools and frameworks used in AI/ML workflows. Strong communication skills and ability to collaborate with global teams. Nice to have Certifications in DevOps or AI/ML (e.g., Kubernetes, AWS Machine Learning Specialty). Experience working with AIOps platforms. Knowledge of specialized data pipeline automation tools for machine learning. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn in production environments.

🏢 Summary: Senior/Lead QA & DevOps Engineer role focused on driving quality engineering, test automation, CI/CD, and observability across complex distributed systems. The position combines hands-on automation with quality strategy, contract testing, and DevOps collaboration. It requires independent ownership of scalable testing and monitoring solutions in multi-environment platforms. 🗂️ Requirements: Proven experience in QA Automation or Quality Engineering roles, Strong hands-on experience with Robot Framework, Experience building and maintaining CI/CD pipelines, Experience with API, UI, integration and end-to-end automated testing, Strong knowledge of Linux environments and command-line tools, Experience with observability and monitoring solutions, Experience working with distributed systems and microservices, Understanding of SDLC and testing methodologies, Ability to drive quality initiatives independently 📃 Skills: RobotFramework, GitHubActions, CI/CD, API, UI, Linux, Grafana, Pact, SpringCloudContract, Microservices, SSH, HPC 🏢 Description: Senior / Lead QA & DevOps Engineer About the role We are looking for an experienced Senior / Lead QA & DevOps Engineer to drive quality engineering initiatives across multiple technology streams. This role combines test automation, DevOps practices, observability, and quality strategy execution in complex engineering environments. You will work closely with developers, architects, DevOps engineers, and business stakeholders to establish scalable testing approaches, improve software quality, and implement automation and observability solutions. The role requires a highly independent professional capable of defining priorities, influencing stakeholders, and executing quality initiatives with minimal supervision. Key Responsibilities Design and implement test automation solutions for UI, API, integration, and end-to-end testing. Develop and maintain automated test suites using Robot Framework. Create and maintain CI/CD pipelines for automated test execution using GitHub Actions. Define and implement QA strategies, risk-based testing approaches, and quality gates. Collaborate with stakeholders to identify critical business flows and testing priorities. Build and maintain observability solutions, including Grafana dashboards and monitoring capabilities. Implement and support contract testing frameworks (e.g. Pact, Spring Cloud Contract). Support quality initiatives across distributed systems, microservices, and multi-environment platforms. Work with Linux-based environments, remote systems, shared filesystems, and deployment tooling. Review existing automation frameworks and continuously improve testing processes and standards. Support troubleshooting, root cause analysis, and quality improvements across production and non-production environments. Collaborate closely with DevOps teams to improve automation, deployment reliability, and operational excellence. Requirements Proven experience in QA Automation, Quality Engineering, SDET, or similar roles. Strong hands-on experience with Robot Framework. Experience building and maintaining CI/CD pipelines, preferably using GitHub Actions. Experience with API, UI, integration, and automated testing. Strong knowledge of Linux environments and command-line tools. Experience with observability and monitoring solutions, particularly Grafana. Experience working with distributed systems and microservices architectures. Strong understanding of software development lifecycle, testing methodologies, and quality engineering practices. Ability to work independently and drive quality initiatives across multiple stakeholders and teams. Strong communication and stakeholder management skills. Nice to Have Experience with contract testing tools such as Pact or Spring Cloud Contract. Experience with observability-driven quality engineering approaches. Exposure to HPC (High Performance Computing) environments. Experience with SSH-based testing and infrastructure validation. Knowledge of log aggregation, monitoring, and operational tooling. Experience working in regulated environments.

🏢 Summary: The offer is for a DevSecOps Engineer responsible for building and maintaining secure, automated CI/CD pipelines and embedding security across the full application and data lifecycle. The role focuses on integrating security practices, monitoring, and Infrastructure as Code within cloud-based environments. The position requires close collaboration with development, data, and security teams to deliver secure, scalable, and compliant solutions. 🗂️ Requirements: Experience in DevOps or DevSecOps roles, Strong knowledge of CI/CD and release automation, Knowledge of secure SDLC and OWASP principles, Experience with Git and branching strategies, Knowledge of cloud security best practices and IAM, Experience with SIEM or SOAR platforms, Experience with security analytics and telemetry integration, Knowledge of log aggregation and threat detection pipelines 📃 Skills: Azure, AWS, GCP, Terraform, ARM, CloudFormation, Docker, Kubernetes, Git, AzureDevOps, GitHubActions, GitLabCI, SAST, DAST, SIEM, SOAR, IAM 🏢 Description: DevSecOps Engineer Poszukujemy doświadczonej osoby na stanowisko DevSecOps Engineer , która pomoże nam wdrażać podejście oparte na bezpieczeństwie, automatyzacji oraz wysokiej jakości operacyjnej w całym cyklu życia aplikacji opartych na danych oraz platform workflow. W tej roli będziesz pracować na styku rozwoju oprogramowania, analizy danych oraz bezpieczeństwa , dbając o to, aby aplikacje, integracje oraz logika biznesowa były projektowane, wdrażane i utrzymywane zgodnie z najlepszymi praktykami DevOps, standardami bezpieczeństwa oraz wymaganiami regulacyjnymi. Będziesz ściśle współpracować z programistami aplikacji, inżynierami danych oraz zespołami bezpieczeństwa , aby wspólnie budować bezpieczne, skalowalne i niezawodne rozwiązania cyfrowe. Zakres odpowiedzialności Projektowanie, wdrażanie i utrzymanie bezpiecznych pipeline’ów CI/CD Wdrażanie mechanizmów bezpieczeństwa w procesie tworzenia aplikacji oraz przepływach danych Automatyzacja testów, kontroli jakości kodu, skanowania podatności oraz zarządzania artefaktami Definiowanie i egzekwowanie modeli RBAC , zarządzania sekretami oraz separacji środowisk Monitorowanie wydajności, kondycji systemów oraz zdarzeń bezpieczeństwa wraz z automatycznym alertowaniem i reakcją Wsparcie automatyzacji infrastruktury w oparciu o Infrastructure as Code (IaC) Zapewnienie bezpiecznych integracji pomiędzy aplikacjami, platformami danych, API oraz systemami zewnętrznymi Współpraca z zespołami bezpieczeństwa i compliance w celu spełnienia wymagań wewnętrznych i regulacyjnych Promowanie kultury DevSecOps oraz podejścia security-by-design w zespołach projektowych Wymagania Doświadczenie w rolach DevOps / DevSecOps (w środowiskach chmurowych lub korporacyjnych) Bardzo dobra znajomość CI/CD, automatyzacji oraz zarządzania procesem release Znajomość bezpiecznego cyklu życia wytwarzania oprogramowania (SDLC) , zasad OWASP oraz zarządzania podatnościami Doświadczenie w pracy z Git i nowoczesnymi strategiami branchowania Znajomość dobrych praktyk bezpieczeństwa w chmurze oraz koncepcji IAM Doświadczenie z platformami SIEM / SOAR Doświadczenie w integracji analityki bezpieczeństwa oraz telemetryki z platformami danych Znajomość agregacji logów, pipeline’ów detekcji zagrożeń oraz korelacji zdarzeń bezpieczeństwa Umiejętność współpracy między zespołami oraz podejście nastawione na automatyzację Technologie Platformy CI/CD (Azure DevOps, GitHub Actions, GitLab CI) Infrastructure as Code (Terraform, ARM, CloudFormation) Docker, Kubernetes Platformy chmurowe ( Azure, AWS, GCP ) Git Narzędzia do skanowania bezpieczeństwa ( SAST, DAST, dependency scanning ) Narzędzia do monitoringu i logowania

🏢 Summary: The QA Automation Engineer designs, develops, and executes automated tests to ensure high-quality software delivery within a cross-functional agile team. The role focuses on building and maintaining automated test frameworks, validating REST APIs, and ensuring reliable test coverage within CI/CD pipelines. It requires strong automation expertise and experience in modern software development environments. 🗂️ Requirements: 3+ years experience as Automation QA, Experience with TypeScript, Experience with Playwright, Experience with REST APIs, Experience with API testing, Understanding of Test Pyramid (unit, integration, end-to-end), Experience with CI/CD pipelines, Knowledge of SQL, Experience working in Agile environments 📃 Skills: TypeScript, Playwright, REST, API, CI/CD, SQL, Agile, Automation, E2E, Integration, Unit 🏢 Description: Role description: The QA Automation Engineer contributes to the delivery of high-quality software by designing, developing, and executing automated test cases as part of a collaborative, cross-functional team. Working alongside Developers, Product Owners, and DevOps, this role helps ensure test coverage, reliability, and consistency across product releases. The QA Automation Engineer supports the adoption of automated testing practices, contributes to maintaining and enhancing test frameworks, and works within CI/CD pipelines to help identify issues early in the development lifecycle. This role requires solid technical skills, attention to detail, and a proactive approach to improving the testing process and software quality. Key Accountabilities: Collaborate with Solution Architects, Product Owners, Developers, DevOps, and other QA Automation Engineers to test new product features and improve the testing of existing/legacy features, using technologies and tools including Playwright, Browserstack Analyse business requirements, internal designs, and non-functional requirements; estimate user stories collaboratively with the team. Write and execute robust automated test scripts, achieving high test automation coverage and regression testing within CI/CD pipelines. Conduct manual exploratory testing and maintain a clear manual test plan for test scenarios that cannot be automated. Review logs and databases as part of the testing process and automate these activities wherever possible. Follow industry best practices and ensure adherence by other team members. Apply lean/agile principles and contribute to continuous improvement of processes and practices. Actively participate in code and test script reviews to ensure quality and knowledge sharing within the team. Monitor and report on test results and quality metrics to stakeholders, providing clear insights for decision-making. Required skills and Experience: Professional level (3+ years’ experience) as an Automation QA within a modern software development environment. Experience with TypeScript and Playwright Experience with REST APIs and API testing strategies. Strong understanding of a balanced Test Pyramid with separation of unit, integration, and end-to-end tests Experience ensuring that tests run within CI/CD pipelines Understanding of SQL Experience with agile methodologies. Desired skills & experience: Familiarity with containerisation tools like Docker. Experience with performance and non-functional testing. Knowledge of testing highly available, scalable, and business-critical systems Strong understanding of security testing principles to ensure software resilience against vulnerabilities. Proficiency in CI/CD pipelines and automation integration to streamline testing and delivery processes. Required behaviours & attributes: Strong analytical and problem-solving skills Detail-oriented and ability to identify and report bugs and issues effectively Good communication skills, both verbal and written Proactive in identifying areas for improvement in the testing process Collaborative approach to work with developers, testers, and other stakeholders Continuous learning and staying up to date with new technologies and tools

🏢 Summary: The QA Automation Engineer role focuses on designing, developing, and executing automated tests to ensure high-quality software delivery within a cross-functional team. The position emphasizes building and maintaining test frameworks, achieving strong automation coverage, and integrating tests into CI/CD pipelines. The engineer supports continuous improvement of testing practices and software reliability across releases. 🗂️ Requirements: 3+ years experience in Automation QA, Experience with TypeScript, Experience with Playwright, Experience with REST APIs, API testing knowledge, Understanding of test pyramid (unit, integration, end-to-end), Experience with CI/CD pipelines, SQL knowledge, Experience working in Agile environments 📃 Skills: TypeScript, Playwright, REST, API, SQL, CI/CD, Docker, Browserstack 🏢 Description: Role description: The QA Automation Engineer contributes to the delivery of high-quality software by designing, developing, and executing automated test cases as part of a collaborative, cross-functional team. Working alongside Developers, Product Owners, and DevOps, this role helps ensure test coverage, reliability, and consistency across product releases. The QA Automation Engineer supports the adoption of automated testing practices, contributes to maintaining and enhancing test frameworks, and works within CI/CD pipelines to help identify issues early in the development lifecycle. This role requires solid technical skills, attention to detail, and a proactive approach to improving the testing process and software quality. Key Accountabilities: Collaborate with Solution Architects, Product Owners, Developers, DevOps, and other QA Automation Engineers to test new product features and improve the testing of existing/legacy features, using technologies and tools including Playwright, Browserstack Analyse business requirements, internal designs, and non-functional requirements; estimate user stories collaboratively with the team. Write and execute robust automated test scripts, achieving high test automation coverage and regression testing within CI/CD pipelines. Conduct manual exploratory testing and maintain a clear manual test plan for test scenarios that cannot be automated. Review logs and databases as part of the testing process and automate these activities wherever possible. Follow industry best practices and ensure adherence by other team members. Apply lean/agile principles and contribute to continuous improvement of processes and practices. Actively participate in code and test script reviews to ensure quality and knowledge sharing within the team. Monitor and report on test results and quality metrics to stakeholders, providing clear insights for decision-making. Required skills and Experience: Professional level (3+ years’ experience) as an Automation QA within a modern software development environment. Experience with TypeScript and Playwright Experience with REST APIs and API testing strategies. Strong understanding of a balanced Test Pyramid with separation of unit, integration, and end-to-end tests Experience ensuring that tests run within CI/CD pipelines Understanding of SQL Experience with agile methodologies. Desired skills & experience: Familiarity with containerisation tools like Docker. Experience with performance and non-functional testing. Knowledge of testing highly available, scalable, and business-critical systems Strong understanding of security testing principles to ensure software resilience against vulnerabilities. Proficiency in CI/CD pipelines and automation integration to streamline testing and delivery processes. Required behaviours & attributes: Strong analytical and problem-solving skills Detail-oriented and ability to identify and report bugs and issues effectively Good communication skills, both verbal and written Proactive in identifying areas for improvement in the testing process Collaborative approach to work with developers, testers, and other stakeholders Continuous learning and staying up to date with new technologies and tools

🏢 Summary: The offer is for a Test Automation Engineer role focused on ensuring data quality and improving automation processes within a complex enterprise environment. The position involves building and maintaining Python and Robot Framework-based test automation frameworks and integrating them with CI/CD pipelines. It requires strong system-level analysis skills and active contribution to software quality improvements. 🗂️ Requirements: Minimum 5 years of commercial experience with Python, Minimum 3 years of experience with Robot Framework, Experience building and maintaining test automation frameworks, Strong knowledge of CI/CD and Jenkins, Practical experience with databases, Strong Linux skills, Bash scripting skills, Experience with Git and collaborative repositories, Experience with test management tools, Experience working in Agile environments, Very good English communication skills 📃 Skills: Python, RobotFramework, CI/CD, Jenkins, SQL, Linux, Bash, Git, qTest, Zephyr, Docker, Kafka, IBMMQ 🏢 Description: About the project You will join a team responsible for the Data Quality and Platform Engineering area within a large international technology environment. The project focuses on ensuring data quality and automating testing processes in a complex systems architecture. We are looking for a candidate with strong development skills and hands-on experience in building and maintaining test automation frameworks based on Python and Robot Framework. This role is ideal for someone who understands CI/CD processes, can analyze system-level issues, and actively contributes to improving software quality. Responsibilities Designing, developing, and maintaining test automation frameworks Creating automation scripts using Python and Robot Framework Developing custom keywords and dedicated test libraries Integrating automated tests with CI/CD pipelines Analyzing requirements and preparing test scenarios Preparing test data and validating test results Analyzing logs and debugging issues at the system level Reporting defects and analyzing test execution results Collaborating with developers, analysts, and product teams Improving QA and automation processes Requirements Must have Minimum 5 years of commercial development experience with Python Minimum 3 years of experience with Robot Framework Experience building and maintaining test automation frameworks Strong knowledge of CI/CD and Jenkins Practical experience working with databases Strong Linux and bash scripting skills Experience with Git and collaborative code repositories Experience with test management tools (e.g. qTest, Zephyr) Experience working in Agile environments Very good English communication skills Nice to have Docker Kafka / IBM MQ Understanding of DevOps practices We are looking for someone who: Has strong analytical and problem-solving skills Is confident challenging inefficient solutions and proposing improvements Works effectively in a collaborative environment Has experience working in complex enterprise systems Can quickly onboard into an existing project What we offer Long-term cooperation on a stable project Opportunity to work with a modern technology stack Real impact on quality processes and data reliability Collaboration with experienced international teams An environment focused on development and automation

🏢 Summary: Long-term B2B hybrid contract for a Quality Engineer focused on automated testing across API, frontend, integration, and end-to-end layers. The role includes non-functional testing, CI/CD quality assurance, and validation of workflows, security, and AI/agent performance in a collaborative development environment. 🗂️ Requirements: Experience in spec-driven development, Knowledge of contract-first delivery, Proficiency in .NET, Proficiency in React, Experience with API-first delivery, Understanding of agentic workflows, Understanding of human-in-the-loop governance, Commitment to auditability and traceability, Commitment to explainability by design 📃 Skills: .NET, React, API, CI/CD, Automation, Testing, Performance, Security, Validation, Integration 🏢 Description: Contract: B2B, long term Start date: mid-August Mode: hybrid (2 days per week at the office in Warsaw) Introduction & Summary: A highly skilled Quality Engineer is sought to join a dynamic team focused on test automation and quality assurance. This role emphasizes expertise in API, frontend, integration, and end-to-end testing, with a strong focus on non-functional testing aspects such as performance and security. Ideal candidates will possess a collaborative mindset and a commitment to quality from the onset of the development process. Main Responsibilities: Executing API, frontend, integration, and end-to-end test automation. Performing contract testing and schema validation. Defining acceptance criteria from specifications. Validating workflows, state transitions, authorizations, and audits. Conducting data quality and traceability testing. Implementing CI/CD quality gates and ensuring release readiness. Carrying out non-functional testing for performance, reliability, and security. Evaluating AI/agent performance including quality recommendations and validations. Key Requirements: Experience in spec-driven development mindset. Knowledge of contract-first delivery methodologies. Proficiency in .NET, React, and API-first delivery. Understanding of agentic workflow and human-in-the-loop governance. Commitment to auditability, traceability, and explainability by design. Nice to Have: Experience in cross-capability collaboration. A strong quality and validation culture.

🏢 Summary: Long-term B2B opportunity for a Quality Engineer focused on automated testing across API, frontend, integration, and end-to-end environments in a hybrid Warsaw setup. The role includes non-functional testing, CI/CD quality assurance, contract testing, and validation of AI-driven workflows. Candidates should have strong experience with spec-driven development, contract-first delivery, and technologies such as .NET and React. 🗂️ Requirements: Spec-driven development, Contract-first delivery, Test automation, API testing, Frontend testing, Integration testing, End-to-end testing, Contract testing, Schema validation, CI/CD quality gates, Non-functional testing, Performance testing, Security testing, .NET, React, API-first delivery, Agentic workflow understanding, Auditability and traceability practices 📃 Skills: .NET, React, API, CI/CD, QA, Testing, Automation, Security, Performance, Validation, Integration 🏢 Description: Contract: B2B, long term Start date: mid-August Mode: hybrid (2 days per week at the office in Warsaw) Introduction & Summary: A highly skilled Quality Engineer is sought to join a dynamic team focused on test automation and quality assurance. This role emphasizes expertise in API, frontend, integration, and end-to-end testing, with a strong focus on non-functional testing aspects such as performance and security. Ideal candidates will possess a collaborative mindset and a commitment to quality from the onset of the development process. Main Responsibilities: Executing API, frontend, integration, and end-to-end test automation. Performing contract testing and schema validation. Defining acceptance criteria from specifications. Validating workflows, state transitions, authorizations, and audits. Conducting data quality and traceability testing. Implementing CI/CD quality gates and ensuring release readiness. Carrying out non-functional testing for performance, reliability, and security. Evaluating AI/agent performance including quality recommendations and validations. Key Requirements: Experience in spec-driven development mindset. Knowledge of contract-first delivery methodologies. Proficiency in .NET, React, and API-first delivery. Understanding of agentic workflow and human-in-the-loop governance. Commitment to auditability, traceability, and explainability by design. Nice to Have: Experience in cross-capability collaboration. A strong quality and validation culture.

🏢 Summary: The role involves designing, implementing, and maintaining scalable cloud infrastructure and CI/CD pipelines, with a strong focus on Google Cloud Platform and Azure. The DevOps Engineer will automate deployments, manage infrastructure as code, and ensure reliability, security, and performance of cloud environments. The position requires close collaboration with development teams to improve deployment processes and platform stability. 🗂️ Requirements: Proven experience as DevOps Engineer or similar cloud role, Expert-level experience with Google Cloud Platform, Hands-on experience with Microsoft Azure, Experience with CI/CD tools (Azure DevOps, GitHub, GitHub Actions), Experience with Infrastructure as Code using Terraform, Scripting and automation skills using Python, Knowledge of cloud architecture and deployment best practices, Strong troubleshooting skills, English proficiency 📃 Skills: GCP, Azure, Terraform, Python, AzureDevOps, GitHub, GitHubActions, CI/CD, IaC 🏢 Description: About the Role We are looking for a skilled DevOps Engineer to join our technology team and help design, implement, and maintain scalable cloud infrastructure and modern CI/CD pipelines. In this role, you will work closely with development and platform teams to automate processes, improve deployment efficiency, and ensure the reliability and security of cloud-based systems. The ideal candidate has strong experience with cloud platforms, infrastructure as code, and modern DevOps practices, with particular expertise in Google Cloud Platform and CI/CD tooling. Key Responsibilities Design, implement, and maintain CI/CD pipelines using Azure DevOps , GitHub , and GitHub Actions . Build and manage scalable cloud infrastructure on Google Cloud Platform and Microsoft Azure . Develop and maintain infrastructure using Infrastructure as Code practices with Terraform . Automate operational and deployment processes using Python . Monitor and optimize cloud environments for performance, reliability, and cost efficiency. Collaborate with development teams to improve application deployment processes and platform reliability. Implement best practices in security, access control, and cloud governance. Troubleshoot infrastructure and deployment issues across environments. Required Skills & Experience Proven experience as a DevOps Engineer or in a similar cloud/infrastructure role. Strong hands-on experience with Google Cloud Platform at a principal or expert level . Solid experience with Microsoft Azure . Hands-on experience with CI/CD tools such as Azure DevOps , GitHub , and GitHub Actions . Strong knowledge of Infrastructure as Code tools, particularly Terraform . Good scripting and automation skills using Python . Experience with cloud architecture, automation, and deployment best practices. Strong troubleshooting and problem-solving skills. Ability to work collaboratively in cross-functional teams. Good communication skills and proficiency in English.

🏢 Summary: Long-term B2B Quality Engineer role focused on automated testing across API, frontend, integration, and end-to-end layers in a hybrid Warsaw setup. The position emphasizes non-functional testing, CI/CD quality gates, and contract-first development practices with technologies including .NET and React. Candidates are expected to support quality assurance from specification through release readiness and AI workflow validation. 🗂️ Requirements: Experience with spec-driven development, Knowledge of contract-first delivery methodologies, Proficiency in .NET, Proficiency in React, Experience with API-first delivery, Understanding of agentic workflow, Understanding of human-in-the-loop governance, Commitment to auditability and traceability, Commitment to explainability by design, Experience with API test automation, Experience with frontend test automation, Experience with integration and end-to-end testing 📃 Skills: .NET, React, API, CI/CD, Testing, Automation, Validation, Security, Performance 🏢 Description: Contract: B2B, long term Start date: mid-August Mode: hybrid (2 days per week at the office in Warsaw) Introduction & Summary: A highly skilled Quality Engineer is sought to join a dynamic team focused on test automation and quality assurance. This role emphasizes expertise in API, frontend, integration, and end-to-end testing, with a strong focus on non-functional testing aspects such as performance and security. Ideal candidates will possess a collaborative mindset and a commitment to quality from the onset of the development process. Main Responsibilities: Executing API, frontend, integration, and end-to-end test automation. Performing contract testing and schema validation. Defining acceptance criteria from specifications. Validating workflows, state transitions, authorizations, and audits. Conducting data quality and traceability testing. Implementing CI/CD quality gates and ensuring release readiness. Carrying out non-functional testing for performance, reliability, and security. Evaluating AI/agent performance including quality recommendations and validations. Key Requirements: Experience in spec-driven development mindset. Knowledge of contract-first delivery methodologies. Proficiency in .NET, React, and API-first delivery. Understanding of agentic workflow and human-in-the-loop governance. Commitment to auditability, traceability, and explainability by design. Nice to Have: Experience in cross-capability collaboration. A strong quality and validation culture.