Senior Software Development Engineer in Test

Senior Software Development Engineer in Test (SDET)

Contract position. 100% remote. Core working hours: 16:00–20:00 CET with flexibility for the remaining hours.

Our client combines a buyer database of over 270million contacts with powerful sales engagement and automation tools. Trusted by over 160000 companies, it serves more than one million users worldwide. The role involves working on quality engineering initiatives throughout the organization, building and scaling production environments.

• Define and implement overall testing strategy and methodologies aligned with business objectives and software development goals.
• Drive adoption of CI/CD practices to integrate automated tests efficiently into deployment pipelines.
• Conduct research on emerging technologies, tools, and processes in software testing; evaluate and recommend adoption.
• Lead root‑cause analysis for complex bugs and issues, collaborating with developers for long‑term solutions.
• Collaborate with the Dev Ops/Infra team to improve existing infrastructure, tackle daily operational challenges, and boost engineering productivity.
• Work cross‑functionally with various teams at Apollo.
• Provide database support with Mongo
  
  DB, Elastic Search, Redis Cache, and Big Query.
• Lead design and development of advanced automated testing frameworks and tools that scale across projects and technologies.
• Collaborate with engineering leadership to integrate quality assurance processes early in the software development lifecycle.
• Serve as a thought leader, mentoring and guiding QE teams, fostering a culture of quality and continuous improvement.
• Oversee and manage complex testing projects, coordinating with multiple teams to meet timelines, budgets, and quality targets.

• BS or MS degree in Computer Science, Computer Engineering, or related field.
• 5+ years of experience developing software, automated frameworks, and test automation tools.
• Strong experience with Linux (Ubuntu) and databases; good knowledge of Mongo
  
  DB or Elastic Search.
• Experience with Docker, VPN, and Kubernetes (especially Kubernetes).
• Experience with distributed systems.
• Proficiency coding in Java, Python, or similar languages.
• Knowledge of automation frameworks like Cypress and Rspec.
• Exposure to modern backend programming languages, preferably Ruby.