Automation Test Lead – Identity & Access Management (IAM)

🏢 Summary: Senior Automation Test Engineer role focused on building and executing automation-first testing strategies for cloud-based IAM solutions within a global transformation program. The position involves developing automated frameworks, API tests, and CI/CD pipelines to ensure secure, scalable identity and access management across cloud environments. It combines hands-on automation, cloud testing, and collaboration with security and DevOps teams. 🗂️ Requirements: Minimum 4 years of experience in automation testing, Strong domain knowledge in IAM, Proficiency in Java, Python, or Typescript, Experience with API testing and automation, Hands-on experience with cloud platforms (GCP, AWS, or Azure), Experience with CI/CD pipelines, Understanding of graph databases (Neo4j), Knowledge of event-driven architectures, Knowledge of policies as code (OPA/Rego), Experience with test management tools (JIRA), Fluent English, Legal right to work in the European Union 📃 Skills: Java, Python, Typescript, IAM, API, Postman, Insomnia, Apidog, GCP, AWS, Azure, Neo4j, OPA, Rego, Jenkins, JIRA, CI/CD 🏢 Description: Ignite the future of identity — transform access management at a global scale! Krakow-based opportunity with remote working model As a Senior Automation Test Engineer – Identity and Access Management (IAM) , you will be working for our client, a leading player in the financial industry, pioneering the global IAM transformation. You will contribute to a groundbreaking program that modernizes identity and access workflows, ensuring secure and scalable solutions across cloud environments, primarily Google Cloud Platform. This role offers an exciting chance to shape innovative identity solutions and advance your career in a fast-evolving technological landscape. Your main responsibilities: Collaborate with the lead automation architect to design an automation-first testing strategy minimizing manual effort. Develop, execute, and maintain automated test frameworks and scripts for cloud-native IAM applications, including APIs, identity orchestrations, and event-driven pipelines. Create and manage Jenkins pipelines for continuous integration and delivery, ensuring efficient testing cycles and comprehensive reporting. Design and execute detailed test plans, test cases, and scenarios based on technical specifications and business requirements. Generate and manage test data, report defects accurately, and verify bug fixes in a timely manner. Identify process and application vulnerabilities, providing recommendations for improvements. Communicate testing progress effectively to stakeholders, ensuring transparency and alignment. Conduct manual exploratory testing and validate complex scenarios involving policies as code and graph database functionalities. Collaborate closely with technical leads, security teams, and DevOps to ensure robust test coverage and compliance with regulations. You're ideal for this role if you have: Minimum of 4 years of experience in automation testing, with strong domain knowledge in IAM. Proven mastery in Java, Python, Typescript, or similar programming languages, and expertise with API testing tools like Postman, Insomnia, or Apidog. Hands-on experience with API automation, containerized test execution, and cloud testing methodologies, especially GCP, AWS, or Azure. Solid understanding of graph databases (Neo4j), event-driven architectures, and policies as code (OPA/Rego). Experience in risk-based test prioritization, layered test architecture, and workload performance testing. Proficiency with test management tools such as JIRA and CI/CD pipelines. Excellent stakeholder communication skills in English, both verbal and written. It is a strong plus if you have: Exposure to SailPoint IdentityIQ, identity warehousing, and data ingestion protocols like SCIM, LDAP, OIDC. Familiarity with load and stress testing tools such as JMeter, Gatling, or NeoLoad. Knowledge of DevOps practices and experience integrating tests into GitLab CI/CD pipelines. Certifications in IAM technologies or automation frameworks. Language Required for the role: Fluent English. Eligibility to work in Europe: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV in English, along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Senior IAM Automation Test Engineer role focused on designing and implementing automation-first testing strategies for large-scale Identity and Access Management solutions in a global banking environment. The position involves developing automated tests for IAM workflows and cloud-native applications, managing CI/CD pipelines, and driving quality standards across teams. This role combines deep IAM domain expertise with strong DevOps and cloud testing capabilities. 🗂️ Requirements: Minimum 5 years of experience in Identity and Access Management, Proven leadership experience in test automation, Strong programming skills in Java, Python, Typescript, Playwright, Cypher, Scala, Experience with API testing tools, Deep knowledge of IAM concepts: OPA/Rego, RBAC, ABAC, Neo4j, Experience in REST API automation and API Gateway testing, Experience with cloud platforms: GCP, AWS, Azure, Experience with CI/CD pipelines and DevOps practices, Fluent English, Legal right to work in Europe 📃 Skills: Java, Python, Typescript, Playwright, Cypher, Scala, Postman, Insomnia, Apidog, OPA, Rego, RBAC, ABAC, Neo4j, REST, GCP, AWS, Azure, Jenkins, GitOps, JMeter, Gatling, LoadRunner, NeoLoad, SCIM, LDAP, OIDC 🏢 Description: Unleash the future of Identity and Access Management — drive innovation at scale! Krakow-based opportunity with hybrid work model (up to 3 remote days/week). As a Senior IAM Automation Test Engineer , you will be working for our client, a global leader in transforming enterprise Identity and Access Management (IAM). You will contribute to a major transformational program that integrates cutting-edge IAM technologies with large-scale banking security solutions. This project offers an exciting chance to shape future standards in secure identities, cloud-native solutions, and automation excellence. Your main responsibilities: Assist the Automation Architect in designing a comprehensive testing strategy focused on automation-first principles. Develop, execute, and enhance automated tests for IAM workflows, APIs, and cloud-native applications. Manage Jenkins pipelines to streamline continuous integration and delivery, generate reports, and notify teams of test outcomes. Lead, mentor, and manage other engineers, fostering best practices and high-quality testing standards. Create detailed test plans, test cases, and test data aligned with technical specifications and requirements. Generate accurate test data and document testing defects and issues, automating bug reporting as needed. Collaborate with technical and business stakeholders to refine testing scenarios, ensuring thorough coverage and traceability. Stay up-to-date with new technologies relevant to cloud security and IAM, learning and integrating them effectively. Drive process improvements by identifying issues and recommending best practices across testing activities. Promote automation standards across the organization, contributing to process and quality governance. You're ideal for this role if you have: A minimum of 5 years of experience in Identity and Access Management, with demonstrable leadership in test automation. Strong coding skills in Java, Python, Typescript, Playwright, Cypher, Scala, and experience with API testing tools like Postman, Insomnia, or Apidog. Deep domain knowledge in IAM, including policies as code (OPA/Rego), RBAC, ABAC, and graph data validation (Neo4j). Experience with automation-first testing, layered architectures, and risk-based prioritization. Proficiency in REST API automation, API Gateway testing, containerized test execution, and cloud test methodologies—especially in GCP, AWS, and Azure. Familiarity with load testing tools such as JMeter, Gatling, LoadRunner, or NeoLoad is a plus. Well-versed in DevOps practices, CI/CD pipelines, GitOps repositories, and integration of automated testing within DevOps workflows. Excellent communication skills in English, with the ability to engage stakeholders at all levels. Proven leadership skills — mentoring, managing, and coordinating testing teams effectively. It is a strong plus if you have: (optional) Experience with SailPoint IdentityIQ, Identity warehousing, and data ingestion protocols (SCIM, LDAP, OIDC). Knowledge of GDBMS performance analysis and graph database management systems. Language required for the role: Fluent in English Eligibility for the role: Only candidates with an existing legal right to work in Europe will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV in English, along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Senior IAM Automation Test Engineer role focused on designing and implementing automation-first testing strategies for large-scale IAM and banking security solutions. The position involves developing automated tests, managing CI/CD pipelines, and leading testing initiatives in cloud-native environments. This role combines deep IAM domain expertise with strong automation and DevOps practices. 🗂️ Requirements: Minimum 5 years of IAM experience, Proven leadership in test automation, Strong programming skills in Java, Python, Typescript, Scala, Experience with API testing tools, Deep knowledge of IAM policies and access models (RBAC, ABAC), Experience with REST API automation and API Gateway testing, Experience with cloud platforms GCP, AWS, Azure, Experience with CI/CD pipelines and DevOps workflows, Hands-on experience with containerized test execution, Fluent English, Legal right to work in Europe 📃 Skills: IAM, Java, Python, Typescript, Scala, Playwright, Cypher, Postman, Insomnia, Apidog, OPA, Rego, RBAC, ABAC, Neo4j, REST, Jenkins, GCP, AWS, Azure, JMeter, Gatling, LoadRunner, NeoLoad, GitOps, SCIM, LDAP, OIDC 🏢 Description: Unleash the future of Identity and Access Management — drive innovation at scale! Krakow-based opportunity with hybrid work model (up to 3 remote days/week). As a Senior IAM Automation Test Engineer , you will be working for our client, a global leader in transforming enterprise Identity and Access Management (IAM). You will contribute to a major transformational program that integrates cutting-edge IAM technologies with large-scale banking security solutions. This project offers an exciting chance to shape future standards in secure identities, cloud-native solutions, and automation excellence. Your main responsibilities: Assist the Automation Architect in designing a comprehensive testing strategy focused on automation-first principles. Develop, execute, and enhance automated tests for IAM workflows, APIs, and cloud-native applications. Manage Jenkins pipelines to streamline continuous integration and delivery, generate reports, and notify teams of test outcomes. Lead, mentor, and manage other engineers, fostering best practices and high-quality testing standards. Create detailed test plans, test cases, and test data aligned with technical specifications and requirements. Generate accurate test data and document testing defects and issues, automating bug reporting as needed. Collaborate with technical and business stakeholders to refine testing scenarios, ensuring thorough coverage and traceability. Stay up-to-date with new technologies relevant to cloud security and IAM, learning and integrating them effectively. Drive process improvements by identifying issues and recommending best practices across testing activities. Promote automation standards across the organization, contributing to process and quality governance. You're ideal for this role if you have: A minimum of 5 years of experience in Identity and Access Management, with demonstrable leadership in test automation. Strong coding skills in Java, Python, Typescript, Playwright, Cypher, Scala, and experience with API testing tools like Postman, Insomnia, or Apidog. Deep domain knowledge in IAM, including policies as code (OPA/Rego), RBAC, ABAC, and graph data validation (Neo4j). Experience with automation-first testing, layered architectures, and risk-based prioritization. Proficiency in REST API automation, API Gateway testing, containerized test execution, and cloud test methodologies—especially in GCP, AWS, and Azure. Familiarity with load testing tools such as JMeter, Gatling, LoadRunner, or NeoLoad is a plus. Well-versed in DevOps practices, CI/CD pipelines, GitOps repositories, and integration of automated testing within DevOps workflows. Excellent communication skills in English, with the ability to engage stakeholders at all levels. Proven leadership skills — mentoring, managing, and coordinating testing teams effectively. It is a strong plus if you have: (optional) Experience with SailPoint IdentityIQ, Identity warehousing, and data ingestion protocols (SCIM, LDAP, OIDC). Knowledge of GDBMS performance analysis and graph database management systems. Language required for the role: Fluent in English Eligibility for the role: Only candidates with an existing legal right to work in Europe will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV in English, along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Senior Automation Test Engineer role focused on building and maintaining automated testing solutions for cloud-native IAM applications in a global identity and access management transformation program. The position involves API automation, CI/CD integration, cloud testing on GCP, and collaboration with security and DevOps teams in a remote working model based in Krakow. 🗂️ Requirements: 4+ years of automation testing experience, Experience in cybersecurity testing, Proficiency in Python or Typescript, Experience with API testing tools, Hands-on experience with API automation, Experience with containerized test execution, Experience with cloud testing methodologies, Knowledge of GCP, Understanding of graph databases, Knowledge of event-driven architectures, Knowledge of policies as code, Experience with risk-based test prioritization, Experience with layered test architecture, Experience with workload performance testing, Proficiency with JIRA, Experience with CI/CD pipelines, Fluent English, Legal right to work in the European Union 📃 Skills: Python, Typescript, PyTest, Postman, Insomnia, Apidog, GCP, Neo4j, OPA, Rego, JIRA, Jenkins, SCIM, LDAP, OIDC, JMeter, Gatling, NeoLoad, GitLab 🏢 Description: Ignite the future of identity — transform access management at a global scale! Krakow-based opportunity with remote working model As a Senior Automation Test Engineer you will be working for our client, a leading player in the financial industry, pioneering the global IAM transformation. You will contribute to a groundbreaking program that modernizes identity and access workflows, ensuring secure and scalable solutions across cloud environments, primarily Google Cloud Platform. This role offers an exciting chance to shape innovative identity solutions and advance your career in a fast-evolving technological landscape. Your main responsibilities: Collaborate with the lead automation architect to design an automation-first testing strategy minimizing manual effort. Develop, execute, and maintain automated test frameworks and scripts for cloud-native IAM applications, including APIs, identity orchestrations, and event-driven pipelines. Create and manage Jenkins pipelines for continuous integration and delivery, ensuring efficient testing cycles and comprehensive reporting. Design and execute detailed test plans, test cases, and scenarios based on technical specifications and business requirements. Generate and manage test data, report defects accurately, and verify bug fixes in a timely manner. Identify process and application vulnerabilities, providing recommendations for improvements. Communicate testing progress effectively to stakeholders, ensuring transparency and alignment. Conduct manual exploratory testing and validate complex scenarios involving policies as code and graph database functionalities. Collaborate closely with technical leads, security teams, and DevOps to ensure robust test coverage and compliance with regulations. You're ideal for this role if you have: Minimum of 4 years of experience in automation testing also in cybersecurity. Proven mastery in Python, Typescript, or similar programming languages, and expertise with API testing tools like PyTest, Postman, Insomnia, or Apidog. Hands-on experience with API automation, containerized test execution, and cloud testing methodologies, especially GCP. Solid understanding of graph databases (Neo4j), event-driven architectures, and policies as code (OPA/Rego). Experience in risk-based test prioritization, layered test architecture, and workload performance testing. Proficiency with test management tools such as JIRA and CI/CD pipelines. Excellent stakeholder communication skills in English, both verbal and written. It is a strong plus if you have: Deep domain knowledge in IAM Knowledge of AI-testing, if not it is a great oppurtunity to learn! Exposure to SailPoint IdentityIQ, identity warehousing, and data ingestion protocols like SCIM, LDAP, OIDC. Familiarity with load and stress testing tools such as JMeter, Gatling, or NeoLoad. Knowledge of DevOps practices and experience integrating tests into GitLab CI/CD pipelines. Certifications in IAM technologies or automation frameworks. Language Required for the role: Fluent English. Eligibility to work in Europe: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV in English, along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Hybrid Mid-Level Automation Test Engineer role in Krakow, focused on testing secure IAM and cloud-native identity workflows on Google Cloud Platform. The role covers Python/Pytest backend automation, API and event-driven system testing, CI/CD integration, test-data management, and quality assurance in an Agile programme. 🗂️ Requirements: 2+ years of backend automation testing experience, Python and Pytest proficiency, IAM knowledge, API-driven service testing experience, Event-driven systems testing experience, Knowledge of SCIM, LDAP, REST API, OIDC and CSV, Understanding of RBAC, ABAC, ReBAC and PBAC, JIRA and Zephyr proficiency, CI/CD automation integration exposure, Cloud testing experience, Fluent written and spoken English, Existing legal right to work in the European Union 📃 Skills: Python, Pytest, IAM, REST, Postman, Insomnia, PubSub, Kafka, SCIM, LDAP, OIDC, CSV, RBAC, ABAC, ReBAC, PBAC, JIRA, Zephyr, CICD, GCP, AWS, Azure, Entra, OPA, Rego, Neo4j, n8n, JMeter, Gatling, LoadRunner, NeoLoad, GitOps, Vault 🏢 Description: Empower Security & Innovation — Drive the Future of IAM in a Cloud-First World! Krakow-based opportunity with hybrid work model (up to 4 remote days per week). As a Mid-Level Automation Test Engineer, you will support testing secure, scalable workload identities and access workflows across Google Cloud Platform, integrating identity services with custom APIs, Pub/Sub pipelines, and cloud-native applications. Join a cutting-edge programme with a 5+ year horizon, dedicated to transforming the future of digital identity—a perfect environment for career growth and innovation. Main responsibilities: - Develop and execute comprehensive test plans, cases, and data aligned with technical requirements and specifications. - Support and maintain test entry/exit criteria, ensuring full traceability of functional and non-functional requirements. - Contribute to test case reviews and quality assurance processes to enhance coverage and maintainability. - Support SIT/OAT/UAT scenario definition in collaboration with business and technical teams. - Produce testing artifacts that meet audit and regulatory standards. - Build, maintain, and enhance backend automation scripts using Python and Pytest for API and integration testing. - Validate event-driven systems such as Pub/Sub, queues, and Kafka, including replay and data integrity scenarios. - Test functions and decision logic as code, including policy-as-code assessments. - Integrate automated testing into CI/CD pipelines and generate reports to inform teams. - Create and manage synthetic and anonymized test data sets for repeatable testing. - Track, report, and verify/debug defects, providing clear communication to stakeholders. - Collaborate within an Agile environment, continuously improving quality practices and automation efficacy. You’re ideal for this role if you have: - At least 2 years of practical experience in backend automation testing using Python and Pytest. - Knowledge of IAM concepts and testing API-driven services (REST, Postman, Insomnia, etc.). - Hands-on experience with event-driven systems like Pub/Sub, queues, Kafka, or batch processing flows. - Familiarity with identity protocols and formats such as SCIM, LDAP, REST API, OIDC, and CSV. - Understanding of policy-based access models (RBAC, ABAC, ReBAC, PBAC). - Proficiency with test management tools such as JIRA and Zephyr. - Exposure to CI/CD practices and automation integration. - Cloud testing experience, ideally with GCP; additional AWS, Azure, and Entra exposure is advantageous. - Strong communication skills in fluent English, both written and verbal. It is a strong plus if you have: - Experience in consumer-driven contract testing. - Knowledge of policy-as-code tools (OPA / Rego). - Exposure to graph databases (Neo4j) or graph relationship testing. - Familiarity with orchestration tools (e.g., n8n) and GenAI tools supporting QA. - Containerized testing patterns. - Performance testing tools (JMeter, Gatling, LoadRunner, NeoLoad). - Experience with GitOps repositories, Vault (HashiCorp), or security governance testing. Language required for the role: - Fluent English (written and spoken). Eligibility for the role: - Only candidates with an existing legal right to work in the European Union will be considered for this role.

🏢 Summary: Senior role focused on leading AI-driven quality automation and testing transformation within the insurance industry. The position involves developing AI-enhanced QA processes, integrating Microsoft AI tools, mentoring teams, and optimizing testing infrastructure in a hybrid Warsaw-based environment. 🗂️ Requirements: 5+ years of experience in test automation or quality assurance, Experience using AI in IT or QA processes, Knowledge of Microsoft Power Platform, Knowledge of Copilot Studio, Experience building AI agents, Experience automating workflows within Microsoft 365, Familiarity with SDLC, Experience with automated testing, Knowledge of CI/CD, Experience working with APIs, Good command of Polish, Communicative English, Legal right to work in the European Union 📃 Skills: AI, QA, PowerPlatform, PowerAutomate, PowerApps, CopilotStudio, Microsoft365, SDLC, CI/CD, APIs, Automation, Testing, LLMs 🏢 Description: Unleash innovation in AI & Quality Automation — lead the future of testing and quality engineering! Warsaw-based opportunity with hybrid work model. As a Senior AI & Quality Automation Lead, you will be working for a client in the insurance industry dedicated to transforming software testing through cutting-edge AI solutions. Your expertise will shape automated testing processes, drive efficiency, and foster a culture of technological innovation in a dynamic environment. Main responsibilities: - Define and implement AI-driven improvements across testing and quality assurance processes. - Develop standards and best practices in quality and automation, promoting a culture of innovation. - Build Proof of Concepts (PoC) and experiment with emerging AI solutions to optimize workflows. - Collaborate with project teams to provide technical guidance and support decision-making regarding AI integration. - Mentor team members, encouraging knowledge sharing and skill development in AI and modern QA practices. - Identify quality risks and recommend technological solutions to enhance efficiency and reduce time-to-market. - Adapt testing infrastructure for seamless integration with LLMs and Microsoft AI tools, including Power Platform and Copilot Studio. Requirements: - 5+ years of hands-on experience in testing automation, quality assurance, or related fields. - Practical experience utilizing AI to improve IT and QA processes. - Strong knowledge of Microsoft Power Platform (Power Automate, Power Apps) and Copilot Studio. - Experience building AI agents, automating workflows, and integrating within the Microsoft 365 ecosystem. - Familiarity with SDLC, automated testing, CI/CD, APIs, and modern Quality Engineering practices. - Excellent communication skills with the ability to inspire and engage teams. Nice to have: - Certifications or experience in AI, automation, or advanced QA methodologies. Language requirements: - Polish: Good command - English: Communicative Eligibility: - Only candidates with an existing legal right to work in the European Union will be considered for this role. Interested candidates should apply with a CV, preferably in English, along with consent for personal data processing and storage.

🏢 Summary: Lead Automation Tester role focused on defining and driving test automation strategy while leading a QA team in delivering high-quality solutions for enterprise, API and Big Data systems. The position requires hands-on development of Python-based automation frameworks and integration of testing into CI/CD pipelines. It also involves leveraging AI tools to enhance test design, coverage and efficiency. 🗂️ Requirements: 5+ years of experience in QA automation and test framework development, Proficiency in Python for test automation, Experience with PyTest or Robot Framework, Strong expertise in Selenium and browser automation, Knowledge of HTML, CSS and JavaScript, Experience in API testing using Postman or Requests, Experience in Big Data testing and distributed data validation, Experience integrating automation into CI/CD pipelines (Jenkins or GitLab CI), Proficiency with Azure Cloud, Experience with Git version control, Experience using AI tools for test automation, English level B2 or higher 📃 Skills: Python, PyTest, RobotFramework, Selenium, HTML, CSS, JavaScript, Postman, Requests, BigData, Jenkins, GitLab, Azure, Git, CICD, AI 🏢 Description: We are seeking a Lead Automation Tester with over 5 years of experience to drive test automation strategy and lead a team of QA engineers. This role requires hands-on automation expertise in Python, leadership skills and a focus on delivering high-quality solutions for enterprise applications, APIs and Big Data systems, including the use of AI tools for test preparation and automation script design. Responsibilities Lead the QA automation team, providing technical guidance, mentorship and performance support Design, develop and maintain automated test frameworks using Python, PyTest, Robot Framework or equivalent Oversee test planning, execution and reporting for web, API and Big Data applications Collaborate with development, product and DevOps teams to integrate test automation into CI/CD pipelines such as Jenkins or GitLab CI Ensure consistent use of version control with Git and maintain high-quality automation code standards Conduct code reviews, implement best practices and define automation strategy for new initiatives Leverage AI-assisted tools for test generation, automation script design and efficiency improvements Facilitate risk assessment and defect management to ensure high-quality releases Requirements 5+ years of working experience in QA automation and test framework development Knowledge of Python, PyTest, Robot Framework or equivalent Expertise in browser automation using Selenium and web technologies such as HTML, CSS and JavaScript Deep knowledge of API testing with Postman or Requests library Strong experience with Big Data testing and distributed data validation Proficiency in integrating test automation into CI/CD pipelines using Jenkins or GitLab CI Strong familiarity with Azure Cloud Skills in version control with Git and maintaining automation code standards Background in leveraging AI tools to enhance test design, efficiency and coverage Ability to mentor junior engineers and drive adoption of automation best practices English proficiency at B2 level or higher 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: Lead AI Testing Engineer role focused on building and driving QA strategy for AI-driven, knowledge graph, ontology, and RAG-based LLM systems. The position involves automating evaluation frameworks, validating graph and ontology layers, integrating testing into CI/CD pipelines, and ensuring end-to-end quality across backend, frontend, and AI components. The offer includes flexible remote work within Poland, professional development programs, certifications, and comprehensive benefits. 🗂️ Requirements: 8+ years of experience in software development, test automation and DevOps, Python test automation with pytest or equivalent, Experience with AI/ML library integration, Knowledge Graph or Data Ontology testing experience, OWL2, RDF, SPARQL, SHACL validation, GraphDB experience, SQL data validation, Cypher query language, REST API testing, Frontend test automation with Playwright or equivalent, Experience testing RAG-based Gen AI / LLM applications, Knowledge of Gen AI / LLM evaluation metrics, Automation framework development experience, CI/CD pipeline integration, Agile delivery experience, Git, Azure DevOps or JIRA, English proficiency at B2 level or higher, Hands-on experience with coding agents and agentic development 📃 Skills: Python, pytest, OWL2, RDF, SPARQL, SHACL, GraphDB, SQL, Cypher, REST, Playwright, Git, Azure, JIRA, Jenkins, Postman, Bruno, LLM, RAG, GenAI, CI/CD 🏢 Description: We are looking for a Lead AI Testing Engineer to drive the quality strategy for AI-driven and data migration initiatives spanning knowledge graphs, ontologies and RAG-based LLM features. You will define and execute QA practices across data ingestion, graph layers, rule evaluation engines and AI/LLM components while building automation frameworks that scale evaluation across complex, data-heavy systems. Responsibilities Design and automate evaluation of RAG-based and LLM-driven features including grounding, answer accuracy, determinism/reproducibility, precision, recall and hallucination rate Build test harnesses to scale evaluation beyond human-in-the-loop processes Create data-driven test suites for underwriting rules and validate rule execution via SPARQL evaluator, arithmetic/threshold logic and multi-condition scenarios Verify ontology schema correctness and instance accuracy against source data, perform reasoner consistency checks and SHACL validation Define and drive end-to-end QA strategy covering data ingestion, ontology/graph layer, rule evaluation engine, AI/LLM layer and integration with underwriting solutions Establish quality gates, acceptance criteria and test coverage models Maintain automation test suites across knowledge graph, data ontology layer, backend services and frontend layers Validate end-to-end flows across ontology, rule engine and decision output, perform contract testing and cross-system data consistency validation Integrate test suites into CI/CD pipelines and define release quality gates Champion automation-first and shift-left quality practices Leverage agentic AI and Gen AI tooling in testing and framework development Requirements 8+ years of experience in software development, testing automation and DevOps Proficiency in Python test automation using pytest or equivalent, scripting and AI/ML library integration Expertise in testing Knowledge Graph or Data Ontology solutions using OWL2, RDF and SPARQL Skills in SHACL validation and graph databases such as GraphDB, including ontology validation, entity/relationship integrity, reasoner consistency checks and graph query correctness Proven ability to define and drive QA strategy independently for complex data-heavy systems, including building automation frameworks and implementing quality gates Skills in data validation using SQL and graph query languages such as SPARQL and Cypher, along with understanding of deterministic vs probabilistic systems Background in backend and API testing (REST) covering data validation, integration and E2E testing Proficiency in frontend web application test automation using Playwright or equivalent Python-compatible framework Hands-on experience using coding agents and agentic development daily Demonstrated experience testing and evaluating RAG-based Gen AI / LLM applications including grounding, answer accuracy and hallucination/determinism checks Applied knowledge of Gen AI / LLM evaluation frameworks and metrics such as precision, recall, criteria recall and efficiency, with proven ability to automate Gen AI/RAG evaluation at scale Experience in Agile delivery using Git and Azure DevOps or JIRA English proficiency at B2 level or higher Nice to have Skills in semantic search testing and evaluation Familiarity with Vector Database integration and retrieval validation Background in data science covering ML concepts, data pipelines or data engineering collaboration Proficiency in API tooling such as Postman and Bruno Experience with quality-gate implementation in CI/CD pipelines such as Azure DevOps or Jenkins We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode 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: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually 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: Lead AI Testing Engineer role focused on defining and automating QA strategy for AI-driven, knowledge graph, ontology, and RAG-based LLM systems. The position involves building scalable test frameworks, validating graph and ontology data, and integrating automated quality gates into CI/CD pipelines across backend, frontend, and AI layers. Candidates should have strong expertise in Python automation, semantic technologies, GenAI evaluation, and end-to-end testing for complex data-heavy systems. 🗂️ Requirements: 8+ years in software development, test automation and DevOps, Proficiency in Python test automation, Experience with pytest or equivalent frameworks, Expertise in OWL2, RDF and SPARQL, Experience testing Knowledge Graph or Data Ontology solutions, Skills in SHACL validation, Experience with GraphDB or graph databases, Ability to define QA strategy for complex data-heavy systems, Experience building automation frameworks and quality gates, Skills in SQL, SPARQL and Cypher, Experience with REST API testing, Experience with frontend automation using Playwright or equivalent, Hands-on experience with coding agents and agentic development, Experience testing RAG-based GenAI and LLM applications, Knowledge of GenAI/LLM evaluation metrics, Ability to automate GenAI/RAG evaluation at scale, Experience with Git and Azure DevOps or JIRA, English proficiency at B2 level or higher 📃 Skills: Python, pytest, OWL2, RDF, SPARQL, SHACL, GraphDB, SQL, Cypher, REST, Playwright, Git, JIRA, Azure, Jenkins, Postman, Bruno, LLM, RAG, GenAI, CI/CD 🏢 Description: We are looking for a Lead AI Testing Engineer to drive the quality strategy for AI-driven and data migration initiatives spanning knowledge graphs, ontologies and RAG-based LLM features. You will define and execute QA practices across data ingestion, graph layers, rule evaluation engines and AI/LLM components while building automation frameworks that scale evaluation across complex, data-heavy systems. Responsibilities Design and automate evaluation of RAG-based and LLM-driven features including grounding, answer accuracy, determinism/reproducibility, precision, recall and hallucination rate Build test harnesses to scale evaluation beyond human-in-the-loop processes Create data-driven test suites for underwriting rules and validate rule execution via SPARQL evaluator, arithmetic/threshold logic and multi-condition scenarios Verify ontology schema correctness and instance accuracy against source data, perform reasoner consistency checks and SHACL validation Define and drive end-to-end QA strategy covering data ingestion, ontology/graph layer, rule evaluation engine, AI/LLM layer and integration with underwriting solutions Establish quality gates, acceptance criteria and test coverage models Maintain automation test suites across knowledge graph, data ontology layer, backend services and frontend layers Validate end-to-end flows across ontology, rule engine and decision output, perform contract testing and cross-system data consistency validation Integrate test suites into CI/CD pipelines and define release quality gates Champion automation-first and shift-left quality practices Leverage agentic AI and Gen AI tooling in testing and framework development Requirements 8+ years of experience in software development, testing automation and DevOps Proficiency in Python test automation using pytest or equivalent, scripting and AI/ML library integration Expertise in testing Knowledge Graph or Data Ontology solutions using OWL2, RDF and SPARQL Skills in SHACL validation and graph databases such as GraphDB, including ontology validation, entity/relationship integrity, reasoner consistency checks and graph query correctness Proven ability to define and drive QA strategy independently for complex data-heavy systems, including building automation frameworks and implementing quality gates Skills in data validation using SQL and graph query languages such as SPARQL and Cypher, along with understanding of deterministic vs probabilistic systems Background in backend and API testing (REST) covering data validation, integration and E2E testing Proficiency in frontend web application test automation using Playwright or equivalent Python-compatible framework Hands-on experience using coding agents and agentic development daily Demonstrated experience testing and evaluating RAG-based Gen AI / LLM applications including grounding, answer accuracy and hallucination/determinism checks Applied knowledge of Gen AI / LLM evaluation frameworks and metrics such as precision, recall, criteria recall and efficiency, with proven ability to automate Gen AI/RAG evaluation at scale Experience in Agile delivery using Git and Azure DevOps or JIRA English proficiency at B2 level or higher Nice to have Skills in semantic search testing and evaluation Familiarity with Vector Database integration and retrieval validation Background in data science covering ML concepts, data pipelines or data engineering collaboration Proficiency in API tooling such as Postman and Bruno Experience with quality-gate implementation in CI/CD pipelines such as Azure DevOps or Jenkins We offer 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: Lead AI Testing Engineer role focused on defining and automating QA strategies for AI-driven systems, knowledge graphs, ontologies and RAG-based LLM applications. The position involves building scalable test frameworks, validating data-heavy systems, integrating quality gates into CI/CD pipelines and ensuring end-to-end quality across backend, frontend and AI layers. Candidates will work with graph technologies, GenAI evaluation frameworks and automation-first testing practices. 🗂️ Requirements: 8+ years of experience in software development, test automation and DevOps, Python test automation with pytest or equivalent, Experience with AI/ML library integration, Knowledge Graph or Data Ontology testing experience, OWL2, RDF, SPARQL, SHACL validation, GraphDB experience, QA strategy design for complex data-heavy systems, SQL and graph query language validation, Cypher, Backend and REST API testing, Frontend test automation with Playwright or equivalent, Experience with coding agents and agentic development, RAG-based Gen AI / LLM testing and evaluation, Gen AI / LLM evaluation frameworks and metrics, Automation of Gen AI/RAG evaluation at scale, Agile delivery experience, Git, Azure DevOps or JIRA, English proficiency B2 or higher 📃 Skills: Python, pytest, OWL2, RDF, SPARQL, SHACL, GraphDB, SQL, Cypher, REST, Playwright, RAG, LLM, Git, Azure, JIRA, Postman, Bruno, Jenkins, CI/CD 🏢 Description: We are looking for a Lead AI Testing Engineer to drive the quality strategy for AI-driven and data migration initiatives spanning knowledge graphs, ontologies and RAG-based LLM features. You will define and execute QA practices across data ingestion, graph layers, rule evaluation engines and AI/LLM components while building automation frameworks that scale evaluation across complex, data-heavy systems. Responsibilities Design and automate evaluation of RAG-based and LLM-driven features including grounding, answer accuracy, determinism/reproducibility, precision, recall and hallucination rate Build test harnesses to scale evaluation beyond human-in-the-loop processes Create data-driven test suites for underwriting rules and validate rule execution via SPARQL evaluator, arithmetic/threshold logic and multi-condition scenarios Verify ontology schema correctness and instance accuracy against source data, perform reasoner consistency checks and SHACL validation Define and drive end-to-end QA strategy covering data ingestion, ontology/graph layer, rule evaluation engine, AI/LLM layer and integration with underwriting solutions Establish quality gates, acceptance criteria and test coverage models Maintain automation test suites across knowledge graph, data ontology layer, backend services and frontend layers Validate end-to-end flows across ontology, rule engine and decision output, perform contract testing and cross-system data consistency validation Integrate test suites into CI/CD pipelines and define release quality gates Champion automation-first and shift-left quality practices Leverage agentic AI and Gen AI tooling in testing and framework development Requirements 8+ years of experience in software development, testing automation and DevOps Proficiency in Python test automation using pytest or equivalent, scripting and AI/ML library integration Expertise in testing Knowledge Graph or Data Ontology solutions using OWL2, RDF and SPARQL Skills in SHACL validation and graph databases such as GraphDB, including ontology validation, entity/relationship integrity, reasoner consistency checks and graph query correctness Proven ability to define and drive QA strategy independently for complex data-heavy systems, including building automation frameworks and implementing quality gates Skills in data validation using SQL and graph query languages such as SPARQL and Cypher, along with understanding of deterministic vs probabilistic systems Background in backend and API testing (REST) covering data validation, integration and E2E testing Proficiency in frontend web application test automation using Playwright or equivalent Python-compatible framework Hands-on experience using coding agents and agentic development daily Demonstrated experience testing and evaluating RAG-based Gen AI / LLM applications including grounding, answer accuracy and hallucination/determinism checks Applied knowledge of Gen AI / LLM evaluation frameworks and metrics such as precision, recall, criteria recall and efficiency, with proven ability to automate Gen AI/RAG evaluation at scale Experience in Agile delivery using Git and Azure DevOps or JIRA English proficiency at B2 level or higher Nice to have Skills in semantic search testing and evaluation Familiarity with Vector Database integration and retrieval validation Background in data science covering ML concepts, data pipelines or data engineering collaboration Proficiency in API tooling such as Postman and Bruno Experience with quality-gate implementation in CI/CD pipelines such as Azure DevOps or Jenkins We offer 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.