Endor Labs is building the Application Security platform for the software development revolution. Modern software is complex and dependency-rich, making it increasingly difficult to pinpoint the risks that truly matter. Endor Labs solves this challenge by building a call graph of your entire software estate—enabling teams to clearly identify, prioritize, and fix critical risks faster.
Trusted by companies that are one or one hundred years old, Endor Labs secures code whether it was written by humans or AI, and whether it's 40-year old C++ code or cutting edge Bazel Monorepos. Endor Labs was founded by serial entrepreneurs Varun Badhwar and Dimitri Stiliadis, and is backed by leading VC firms such as Dell Technology Capital, Lightspeed, and Sierra Ventures.
Sound interesting? Let’s talk if you want to be part of the next big leap in security innovation!
What you’ll doWe 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.
Skills Required
- 5 to 8 years of experience in software engineering or QA
- Strong exposure to both manual and automation testing
- Proficiency in at least one programming language such as Java, Python, or Go
- Experience with test automation frameworks such as JUnit, TestNG, or Pytest
- Strong understanding of CI/CD systems including Jenkins, GitHub Actions, or GitLab CI
- Experience with Git and build or package tools such as Maven, npm, or pip
- Understanding of REST APIs and experience with API testing tools such as Postman
- Experience working with AWS, Azure, or GCP
- Strong debugging and troubleshooting skills using Splunk, Kibana, or similar platforms
- Familiarity with Docker, Kubernetes, and DevOps practices
- Understanding of software delivery pipelines and release processes
- Experience working in or strong interest in cybersecurity
- Ability to leverage AI tools such as Cursor or Claude
- Foundational understanding of AI/ML concepts and practical software engineering applications
What We Do
At Endor Labs, we’re building the modern Application Security platform for the AI-driven era of software development. Our mission is simple but bold: help every organization ship secure software fast with clarity on what matters, and the power to fix it quickly. Today’s AppSec teams are buried in noisy alerts and fragmented tools, while developers race to innovate using open source and AI-generated code. This gap between speed and security puts both innovation and trust at risk. Endor Labs bridges that gap. We unify intelligent code reviews, static analysis, and guided remediation into one connected platform that gives security teams visibility and developers clear, actionable fixes without slowing them down. Our technology deeply analyzes how your software actually works, building a complete graph across first-party, open-source, and AI-generated code. With this context, Endor Labs filters out 92 % of false positives and surfaces the risks that truly matter. Developers can fix vulnerabilities six times faster, automate reviews with AI, and even enable guardrails for AI coding assistants to write secure code by default. We’re trusted by organizations like OpenAI, Snowflake, Peloton, Dropbox, Robinhood, and Rubrik to secure some of the most advanced codebases in the world. Backed by top investors including Lightspeed Venture Partners, DFJ Growth, Coatue, Salesforce Ventures, Dell Technologies Capital, and Citi Ventures, Endor Labs is one of the fastest-growing companies in cybersecurity. But beyond our technology, what truly sets Endor Labs apart is our culture of builders. We’re a team of passionate engineers, researchers, and security experts, over a third with PhDs, united by curiosity, rigor, and the belief that great engineering and great security go hand in hand. We move fast, value craft, and empower each other to innovate boldly while staying grounded in impact.
Why Work With Us
We’re a team of curious builders redefining software security for the AI era. Our culture values ownership, collaboration, and bold thinking where every employee has the freedom to innovate and the support to thrive.
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