SDE III - Engineering Productivity (AI)

About the role

As we scale toward our next chapter, we are looking for high-performers who want to do the best work of their careers at the intersection of AI and Cybersecurity. We don’t do "not my job." We hire people who see a gap and own the solution from start to finish. Whether it’s a line of code or a sales deck, we aim for Tier-1 quality every time.

What you'll do

• Ind the bottlenecks: Instrument how engineering time is actually spent — cycle time, review latency, CI failures, test authoring, operational toil
• Apply AI across the lifecycle: AI-assisted development and refactoring, first-pass code review, test generation and suite optimization
• Build engineering agents: Agents that diagnose CI failures, investigate production issues, write tests, run dependency upgrades, propose security fixes, analyze PRs
• Build the platform: AI gateway, agent runtime and workflow orchestration, codebase intelligence, engineering context retrieval
• Prove the impact and drive adoption: Baseline, experiment, publish results, kill what doesn't move the metric, and mentor teams into the patterns that work

What you need

• 6–11 yrs of experience
• Git
• Python
• Java
• Go
• Microservices
• Kubernetes
• Any graduate

Good to have

• LLMs
• CI/CD
• Prototyping
• Root cause analysis
• Incident response