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Senior QA Automation Engineer (Python)

NagarroยทSalary not specified

Primary stack

gRPCDockerPythonProtocol BuffersGitAPI

Nice to have's

BDD/TDDBehavePlaywright using PythonGitLabGitLab CI/CD pipelinesmocking servicesAPIshardware componentsOPC UAVS CodeWSL2DevContainersShell scripting

Job description

Description language:

Senior QA Automation Engineer (Python)

  • Employment Type: Full-time
  • Service Region: Eastern Europe

About the Position

๐Ÿ‘‹๐Ÿผ We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale - across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

About the Role

We are looking for an experienced Senior QA Automation Engineer to join an Agile development team working on a complex software solution with microservices, microfrontends, and multiple API integrations.

The role has a strong focus on Python-based test automation, API/integration testing, BDD, and automated test framework development.

Responsibilities

  • Design, implement, and maintain automated test cases and test scenarios.
  • Develop automated tests primarily using Python.
  • Maintain and continuously improve a BDD test automation framework based on Behave.
  • Perform API and integration testing, including gRPC-based communication.
  • Use Playwright with Python for end-to-end and API testing.
  • Create and maintain regression and smoke integration test suites.
  • Analyze failed automated tests, investigate root causes, and create defects when appropriate.
  • Develop and improve test clients, mocks, and supporting automation tools.
  • Create and maintain test data and test environments.
  • Review and improve existing test automation code.
  • Collaborate closely with developers, Test Automation Engineers, and Software Requirement Leads.
  • Analyze testability and challenge acceptance criteria where necessary.
  • Execute automated tests locally and through CI/CD pipelines.
  • Work with mocked APIs and hardware components as part of the testing environment.

Requirements

  • Strong hands-on experience with Python for test automation.
  • Solid experience in Test Automation within Agile development teams.
  • Strong experience with API and integration testing.
  • Experience with Protocol Buffers and gRPC.
  • Strong hands-on experience with Docker, ideally including Docker Compose.
  • Experience designing, implementing, and maintaining automated test frameworks.
  • Good understanding of test design, regression testing, and defect analysis.
  • Experience with Git-based development workflows.
  • Strong analytical and problem-solving skills.
  • Good communication and collaboration skills.

Nice to Have

  • Experience with BDD/TDD, ideally using Behave.
  • Experience with Playwright using Python.
  • Experience with GitLab and GitLab CI/CD pipelines.
  • Experience with mocking services, APIs, or hardware components.
  • Knowledge of OPC UA.
  • Experience with VS Code, WSL2, and DevContainers.
  • Shell scripting experience.

Technology Environment

  • Test Automation: Python, Behave, Playwright
  • APIs: gRPC, Protocol Buffers, OPC UA
  • Environment: Docker, Docker Compose, VS Code, WSL2, DevContainers
  • CI/CD: GitLab
  • Backend: C++ microservices
  • Frontend: React, TypeScript, Web Components

We Offer

  • Opportunity to work with a dynamic and innovative team.
  • Be part of a global company with a strong work culture.
  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.

About the Company

๐Ÿ‘‹๐Ÿผ We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale - across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

ยฉ Nagarro. This job description was sourced from the employer's public career page. TheJob is not the employer โ€” we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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Nagarro

Automotive,Banking and Financial Services,Energy & Utilities,Gaming & Entertainment,Insurance

About the Company Nagarro helps clients transform, adapt, and build new ways into the future through an entrepreneurial, agile, and caring mindset. They excel at digital product engineering and deliver on their promise of thinking breakthroughs. Nagarro is a team of over 9,000 experts. Products, Services & Tech Stack Core Solutions Digital Engineering: Future-proofing businesses with value-driven and technology-savvy solutions. Intelligent Enterprise: Mastering critical business applications to empower businesses to thrive. Experience and Design: Harnessing the power of design to drive success. Technologies & Frameworks AI Accelerators: Proprietary AI accelerators like Mosaic: Agentic OS and Vanguard: AI in SDLC. Project Scope & Target Clients Client Base Automotive Banking and Financial Services Energy & Utilities Gaming & Entertainment Insurance Life Sciences & Healthcare Media & Publishing Non-profits and Education Private Equity Public Sector Retail & CPG Smart Buildings Software & Hi-Tech Sports Telecommunications Travel and Logistics Industry and Automation Engineering Scale Nagarro has helped organizations navigate complex change through deep engineering and close partnership. They turn AI into trusted, scalable, measurable business value by embedding intelligence into products, modernizing core systems, and transforming operations.

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