Senior Automation QA Engineer responsible for developing and maintaining scalable API, UI, and LLM test automation frameworks. The role emphasizes Python-based API testing with Requests, Playwright UI testing, CI/CD integration, and test environment management using Docker and Kubernetes. Responsibilities include performance, regression, and functional testing, troubleshooting failures, writing test documentation, managing defects in Jira, and collaborating with engineering, QA, and DevOps teams.
Description
We are looking for a Senior Automation QA Engineer to join our team in Poland. The role will primarily focus on API testing (80%) with UI testing (20%). You will help design, enhance, and maintain automation frameworks, ensuring efficient and scalable testing.
Key Responsibilities:
- Contribute to designing and improving automation testing strategies.
- Develop and maintain automation frameworks for API, UI, and LLM validation.
- Ensure scalability, maintainability, and reusability of automation code.
- API Testing: Develop automated API tests in Python using the Requests library.
- UI Testing: Create and maintain UI tests with Playwright.
- Integrate automated tests with Postman collections where applicable.
- Execute performance, regression, and functional tests.
- Integrate automation tests into CI/CD pipelines (Jenkins preferred).
- Work with Docker and Kubernetes to manage and scale test environments.
- Collaborate with developers, QA, and DevOps teams to improve the QA process.
- Write test plans, strategies, and design documents.
- Track issues using Jira and manage test cases (Xray optional).
- Analyze logs, investigate failures, and troubleshoot in staging and production.
Must-Have:
- 3-5 years of experience in test automation or a related QA role.
- Strong programming skills in Python.
- Solid experience in API automation (Requests library) and UI automation (Playwright).
- Experience with CI/CD tools (Jenkins preferred).
- Experience with Docker & Kubernetes for test environments.
- Strong analytical, problem-solving, and debugging skills.
- Experience with Jira for tracking and reporting.
- Ability to work independently and proactively in a fast-paced environment.
- Fluency in Ukrainian
Nice to Have:
- Experience with Kafka.
- Familiarity with Xray for test management.
- Knowledge of AWS cloud services.
CommIT New York, New York, USA Office
477 Madison Avenue 6th Floor, New York, New York, United States, 10022
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads the technical direction, architecture, and delivery of developer-facing desktop, web, and MCP surfaces for Pfizer’s internal developer platform. Provides hands-on software engineering leadership, ensures secure and privacy-first designs, guides cross-team delivery, mentors engineers, oversees code quality and DevOps practices, and leads incident response and continuous improvement. The role influences teams without direct reports and requires expertise across frontend, desktop, backend, developer tooling, enterprise software delivery, and technical architecture.
Top Skills:
Ci/CdDevOpsElectronKanbanMicroservicesModel Context Protocol (Mcp)Restful ApisScrumVue
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Regional Sales Engineer responsible for serving Polish customers and prospects, demonstrating cybersecurity solutions, explaining complex security challenges, and acting as the technical bridge between sales, marketing, support, engineering, and customers. The role requires expertise in endpoint and network security, strong presentation skills, English and Polish fluency, AI technology experience, and the ability to travel. Bonus experience includes malware analysis, threat intelligence, scripting, cloud platforms, virtualization, and security certifications.
Top Skills:
Antivirus (Av)Artificial IntelligenceAWSAzureBashDigital ForensicsEndpoint Detection And Response (Edr)Endpoint SecurityFirewallsGCPHips/IdsIncident ResponseLinuxmacOSMalware AnalysisNetwork SecurityOsi ModelPowershellPythonSandbox AnalysisSIEMThreat IntelligenceVdiVirtualizationWindows
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Assess and manage cybersecurity risks across AI systems, models, data pipelines, and supporting environments. Conduct AI security assessments, architecture reviews, threat modeling, and risk assessments; define lifecycle controls, standards, and guardrails; and support governance, monitoring, incident response, and remediation. The consultant will advise financial services clients on secure AI adoption while collaborating with security, data, engineering, architecture, risk, and business stakeholders. The role requires a one-year relocation to Qatar.
Top Skills:
Artificial IntelligenceCloud Ai/Ml PlatformsData PipelinesGenerative AiIdentity And Access ManagementMachine Learning
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
