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Starburst is hiring a Security Engineer II to advance its Application Security program by building automation and tooling that enables a small security team to secure a large engineering organization. This is a hands-on engineering role focused on turning security problems into reliable, automated systems using AI where it adds leverage.
Key responsibilities include:
- Build automation and tooling for the Application Security program, converting manual or hard-to-scale security work into reliable automated systems powered by AI
- Integrate security into the development lifecycle by enabling automated security checks within CI/CD pipelines and building reusable guardrails and secure-by-default components
- Support and extend the security stack (SAST, DAST, SCA, secrets scanning), connecting tools so findings reach engineering teams quickly and helping developers interpret and remediate them
- Apply AI to scale security work by prototyping and productionizing AI-assisted workflows for triage, analysis, and remediation
- Support vulnerability management operations by helping detect, triage, and route newly disclosed vulnerabilities with faster and more consistent processes
- Make sound security tradeoffs and help improve secure coding standards, documentation, and remediation playbooks
Required qualifications:
- Bachelor's degree in Computer Science, Engineering, MIS, or equivalent practical experience
- 2–4 years of experience in security engineering, software engineering, or a related technical role
- Solid foundation in information security fundamentals with judgment to make sound security tradeoffs
- Strong understanding of application vulnerabilities and mitigation strategies (OWASP Top 10, CWE)
- Demonstrated experience building automation and tooling, especially using AI
- Proficiency in one or more languages such as Python, Go, Java, or JavaScript/TypeScript (Java and Python preferred)
- Experience with CI/CD tooling, Git-based workflows, and modern development practices
- Familiarity with cloud security concepts and hands-on experience with at least one cloud platform (AWS, Azure, or GCP)
- Experience in enterprise B2B software (self-managed and/or SaaS) is a plus
Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data wherever it lives. Built for distributed data environments using open standards including Trino and Apache Iceberg, Starburst helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation.
