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Senior Quality Engineer(SDET)

Endor Labs· Engineering
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BengaluruFull-timePosted 1mo ago

About the role

Senior Software Engineer focused on Quality Engineering to drive reliability, scalability, and security of Endor Labs’ products. Owns quality end-to-end, combining automation expertise with real-world customer use cases, designing test strategies, building automation frameworks, and integrating quality checks into CI/CD.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:Quality engineering leadershipTest automation designManual and exploratory testingProgrammingCI/CDAPI testingCloud platformsDebugging and observabilityContainerizationSecurity/cybersecurity domainAI/ML concepts
Nice to have:AI tooling
Last updated Oct 15, 2026. Interested? Apply on the company site.

About Endor Labs

AI-Native Application Security Platform

Endor Labs is an application security platform built for AI-generated and human-written code, helping teams prioritize and fix real risk across the SDLC.

application securityAI-generated codesoftware supply chainsecurity analysissoftware development
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