About The Position

We are looking for a Lead QA Engineer to join a forward-thinking project focused on monitoring CO₂ emissions in the maritime industry. The platform leverages ship operational data and a modern, technology stack including Python, Django, React, Databricks, AWS, CI/CD, and Cloud Code to deliver meaningful, real-world impact. In addition to leading QA efforts, this role involves working across multiple parallel work streams in a dynamic, fast-paced environment. You will collaborate closely with cross-functional teams, ensuring that quality is maintained across several ongoing initiatives while contributing to the successful delivery of AI-powered features and solutions-from early prototypes through to production. This position combines leadership, hands-on quality ownership, and the opportunity to work closely with AI-driven systems, supporting their validation, testing, and rollout in a production environment.

Requirements

  • Experience in the role of a QA Team Lead
  • Strong logical thinking and ability to connect the dots across complex, multi-component systems
  • 6y+ experience in manual and automation testing
  • Strong experience in backend test automation, with excellent knowledge of Playwright.
  • Hands-on experience with AI-driven systems, including validating model outputs and ensuring reliability of AI-powered features in production environments (We work with Claude Code)
  • Experience working with AI-based products and contributing to their quality across the development lifecycle
  • Knowledge of Testiny - for test management
  • Experience working in SCRUM and Jira
  • Experience with test documentation (bug reports, test cases, etc)
  • Experience with REST API tests
  • Proficient in English (C1 level and higher)
  • Strong communication skills with a collaborative mindset and a focus on supporting the team rather than just delegating tasks

Nice To Haves

  • experience in the maritime industry and ETS/FuelEU regulations
  • Python knowledge
  • Experience with big data or BI projects
  • Experience with Postman / Apidog
  • Experience with performance testing (jMeter, K6, etc.)

Responsibilities

  • Leading a QA team while working alongside it hands-on as a QA engineer
  • Transitioning towards test automation
  • Testing, validating, and supporting the rollout of AI-powered solutions from prototype to production, ensuring quality and reliability of AI-driven products
  • Managing and coordinating multiple parallel work streams within QA and product delivery
  • Developing testing plans and scenarios
  • Creating comprehensive documentation
  • Conducting manual testing

Benefits

  • Unique memes& pets channel
  • Private medical insurance and sports card
  • Snack cabinet full of drinks, healthy (and not so healthy) treats
  • LEGO set or a cozy blanket
  • Meet for lunch at the office from time to time

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

11-50 employees

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