DataArt is seeking a Security & Test Engineer to join a cross-functional team focused on building a secure enterprise agent ecosystem. You will play a critical role in ensuring the quality, security, and governance of AI-driven systems by designing robust testing strategies and validating complex agent-to-agent trust models.
Key responsibilities
- Design and execute functional and security testing strategies for AI and agent-based systems.
- Develop and maintain automated security testing frameworks using Python and pytest.
- Validate agent-to-agent trust models, including OAuth 2.0 authentication, JWT validation, and token scope enforcement.
- Perform performance benchmarking and load testing for cloud-based APIs using tools like k6 or Locust.
- Conduct threat modeling exercises to assess risks such as prompt injection and excessive agent permissions.
Requirements
- 3+ years of experience in security engineering, quality assurance, or software testing.
- Strong Python programming skills and experience with pytest.
- Experience designing security testing approaches for AI systems or distributed application architectures.
- Solid understanding of OAuth 2.0, JWT-based authentication, and access control concepts.
- Experience creating security test plans, strategies, and automation solutions.
What we offer
- Up to 26 business days of vacation per year.
- 10 fully paid illness/special days off per year without medical papers.
- Comprehensive health and life insurance coverage.
- Access to external learning platforms like O’Reilly, LinkedIn Learning, and Udemy.
- Certification reimbursement for professional development.