About Deep Origin
Led by Michael Antonov, a co-founder of Oculus, and well-funded by Formic Ventures, Deep Origin is poised to reinvent the way scientists work and life science innovations come to life. We see a future largely free of diseases, with a 150-year lifespan being the norm. To get there, we are building an operating system for science, enabling scientists to be more productive and to bring tomorrow's ideas to life quickly and at a reasonable cost.
Role Description
We are looking for a top-tier Automation Engineer based in Armenia to work on a diverse range of automation and coding-centric initiatives. This is a high-ownership role for someone comfortable designing, building, and maintaining complex systems and who can operate well as a team player.
What you'll do:
- Design and maintain end-to-end test automation across our platform, API, and tools layers.
- Build internal tooling that accelerates developers’ productivity and deployment confidence.
- Create monitoring and health-check systems that provide early warning of issues.
- Contribute to infrastructure automation and reliability initiatives.
- Partner with engineering teams to establish testing strategies for new features.
- Own the quality of critical user workflows from development through production.
Requirements
- 5 years of experience in software engineering and automation, not limited to test frameworks.
- Proven experience writing end-to-end tests and automation in real-world production systems using any modern test framework such as Playwright or Cypress.
- At least 2-3 years of experience with JavaScript/TypeScript, Python, or Go.
- Experience with Git and modern CI/CD pipelines.
- Strong understanding of software testing fundamentals, SDLC, and agile development practices.
- Experience working with APIs, services, and distributed systems.
- Ability to independently design and own complex technical solutions.
- Strong problem-solving skills and attention to detail.
- Fluent English for clear communication and collaboration across an international team.
Nice to have:
- Experience with Kubernetes, Docker, and cloud environments.
- Familiarity with observability stacks (Grafana, Prometheus, logs, metrics, alerts).
- Experience building internal developer tools or CLIs.
- Knowledge or hands-on experience with LLMs, prompt engineering, or AI-assisted tooling.
- Background in performance, reliability, or non-functional testing.
- Experience mentoring or technically guiding other QA engineers.
- Experience in high-scale or high-reliability systems.
Who you are:
- You are comfortable owning ambiguous and complex problems.
- You enjoy building tools that make teams faster and systems more reliable.
- You care deeply about quality, but also about pragmatism and impact.
- You are proactive, autonomous, and accountable for what you build.
Benefits
- Health insurance for you and your family.
- Additional leave days added to your annual paid time off.
- Weekly highly specialized seminars on bio-machine learning and chemistry.
- Collaborating with highly experienced professionals.
- Salary with equity, including stock options after probation.
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What We Do
We help scientists solve disease and extend healthspan by building tools that simplify R&D, simulate biology, and untangle the complexity of life. Streamline computational analysis today. Simulate biology tomorrow.
