AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor’s $60B exit to SpaceX, and Cognition’s $48B valuation.
The bottleneck now has moved from code generation to security and safety - AI agents write code faster than any team can review it, and over 65% of the lines of code produced by them are insecure. Vulnerabilities are piling up 16x faster than companies can fix them, and adversaries are able to exploit these new vulnerabilities within hours.
AURI by Endor Labs closes that gap. It runs inside the harness where coding agents work, through hooks, skills and MCP, so the controls sit outside the model and every agent action is visible. Underneath is our patented code context graph, which maps code, open source, containers and infrastructure. It shows which vulnerabilities can actually be reached and exploited, then delivers fixes that won’t break the application. Security teams get evidence instead of noise, and developers get fixes instead of tickets.
The companies building AI trust us to secure it - our customers include OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood and Peloton to name a few.
Endor Labs is the third company from Founder & CEO Varun Badhwar, who built Prisma Cloud, the platform that helped define cloud security, from $0 to $300M ARR at Palo Alto Networks. We’ve raised $163M from Lightspeed, Coatue, DFJ Growth, Salesforce Ventures and Dell Technologies Capital.
Software runs everything around our lives today - banking, hospitals, airports and power grids. AI now writes more of it every day, and our mission is to make sure the world can trust that software. Come build that future with us.
We are looking for a Senior Software Engineer with a strong focus on Quality Engineering to drive the reliability, scalability, and security of Endor Labs’ products. This role goes beyond traditional QA - you will own quality end-to-end, combining deep technical expertise in automation with a strong understanding of real-world customer use cases.
You will play a key role in designing robust test strategies, building scalable automation frameworks, and integrating quality checks into CI/CD pipelines. The ideal candidate brings a security-first mindset, proactively identifies risks, and leverages modern AI-powered development tools to enhance productivity, debugging, and test coverage. This position requires both independent execution and strong collaboration within a fast-paced, high-impact engineering environment.
- Own and drive end-to-end quality strategy for product features, from design to release.
- Design, develop, and maintain scalable test automation frameworks and test suites.
- Perform deep manual and exploratory testing for complex security use cases.
- Integrate automated tests into CI/CD pipelines to ensure rapid and reliable releases.
- Collaborate closely with engineering, product, and DevOps teams to define acceptance criteria and quality benchmarks.
- Identify, debug, and root-cause complex issues using tools like logs, metrics, and observability platforms.
- Contribute to release processes, including build validation, regression cycles, and production readiness
- Leverage AI tools (e.g., Cursor, Claude) to improve development velocity, debugging, and test generation.
- Continuously improve testing practices, frameworks, and tooling to increase efficiency and coverage.
- Advocate for shift-left testing and quality ownership across teams.
- 5 to 8 years of experience in software engineering or QA, with strong exposure to both manual and automation testing.
- Proficiency in at least one programming language such as Java, Python, or Go.
- Hands-on experience building or working with test automation frameworks (e.g., JUnit, TestNG, Pytest).
- Strong understanding of CI/CD systems (Jenkins, GitHub Actions, GitLab CI) and modern release workflows.
- Experience with version control (Git) and build/package tools like Maven, npm, or pip.
- Solid understanding of REST APIs and experience with API testing tools (e.g., Postman).
- Experience working with cloud platforms (AWS, Azure, or GCP).
- Strong debugging and troubleshooting skills using tools like Splunk, Kibana, or similar log/observability platforms.
- Familiarity with containerization and orchestration (Docker, Kubernetes) and DevOps practices.
- Understanding of modern software delivery pipelines and release processes.
- Experience working in or strong interest in the security/cybersecurity domain.
- Demonstrated ability to leverage AI tools (e.g., Cursor, Claude) to improve development velocity, debugging, and test generation.
- Foundational understanding of AI/ML concepts and their practical application in software engineering workflow.
- Go to extraordinary lengths to distinguish ourselves through world-class work.
- Prioritize quality over speed, and speed over scope.
- Desire working with deeply kind, mission-driven people.
- Strive to make the complex simple.
- Use first principles to debate ideas, test assumptions, and make decisions.
- Seek the truth by putting data above opinions.
- Assume good intent and give tactical feedback to help each other get better.
- Hold no ego—when our customers win, we all win.
