Note: The job is a remote job and is open to candidates in USA. Synack provides a penetration testing and vulnerability management platform that helps organizations secure their attack surfaces. The company is seeking a Software Engineer focused on AI to design and ship autonomous AI agents for penetration testing, build sandboxed cyber-lab infrastructure, and own systems through production. The role also involves improving agent reliability and efficiency, leading technical discussions, and collaborating with security researchers.
Responsibilities
- Build AI agents that automate penetration testing: planning, tool use, reasoning over findings, and acting safely within scope
- Stand up and run the sandboxed cyber-lab and range infrastructure, containerised on Kubernetes, where these agents execute offensive tooling
- Ship features from ideation through production, including evals, guardrails and monitoring
- Improve how our agents work: prompting, tool orchestration, evaluation, and cost
- Lead code reviews and design sessions, and help the engineers around you grow
- Work closely with our security researchers to translate how they hack into how our agents operate
Skills
- 7+ years of experience in software engineering
- Proven ability to build and scale production systems
- Strong Python, polyglot codebase
- Fluent or willing to learn Go
- Experience building LLMs an agentic frameworks leveraging tools like RAG, MCP- from dev environment to production
- Demonstrate ability to create reliable agents (prompting, evaluation, guardrails, understanding of token and cost optimization
- Capable leveraging Docker, Kubernetes, isolated sandbox, cloud experience GCP preferred
- Brings a disciplined testing approach to microservices gPRC, API design, async messaging (Pub/Sub, Kafka)
- Passionate desire to understand how systems get compromised
- Clear communication
- Collaborative ability to partner across teams
- Experience in a fast-paced startup environment
- Experience in Cyber Security
Company Overview