Software Engineer and Security Researcher

• Design, build, and ship product features end-to-end: from security research to architecture and production code to release.
• Apply cybersecurity expertise to every feature decision: what to detect, how to model risk, what makes a finding actionable, where customers will be misled by noise, and howto translate raw cloud signal into something a security team can trust and act on.
• Own cloud security capabilities across CSPM and beyond: posture, identity, attack paths, severity/prioritization, detections, and emerging areas of the platform.
• Drive AI into the development loop. Use coding agents and LLM tools as a core part of how you design, prototype, build, debug, review, and document. Write strong prompts, evaluate outputs critically, and turn AI-generated work into production-quality code and logic.
• Move fast, with judgment. Make tradeoffs explicit, ship iteratively, and learn from real customer signals.
• Collaborate closely with product, research, and engineering peers: clear written specs, sharp communication, clean handoffs, customer-facing rationale.

• 5+ years as a software engineer. You design systems, write production code, reason about reliability and edge cases, and own delivery end-to-end.
• Strong cybersecurity foundation. You understand threats, controls, identity, cloud risk, and why a “finding” is or isn’t worth a customer’s attention. This is what makes your feature decisions land.
• Hands-on experience developing with AI / AI-driven development. This is a MUST.
• You have meaningfully shipped work where coding agents, LLM tools, or in-IDE AI assistants were a core part of how you built it. You can speak in detail about what worked, what didn’t, and how you got real leverage out of these tools.
• Experience with at least one major cloud platform (AWS preferred; Azure or GCP also valid).
• Comfortable operating at high pace: small batches, fast iteration, willingness to cut scope to ship, calm under pressure.
• Strong communication: you can explain engineering and security tradeoffs to both technical and non-technical stakeholders.

Nice to Have:

• Experience building CSPM/CNAPP products, cloud security detection/analytics pipelines, or other top-tier security products.
• Experience building or fine-tuning AI-powered developer workflows: custom agents, pipelines, evals, internal AI tooling, prompt frameworks.
• Familiarity with cloud telemetry/log sources and correlating security signals across configuration, identity, and activity.
• Infrastructure-as-Code (e.g., Terraform) and cloud-native development experience.
• Prior security research background: vulnerability research, threat research, or detection engineering.