Engineer III, AI SDLC Engineer (Remote)
Company: CrowdStrike
Location: Remote (Remote)
Salary: $120,000 - $180,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-10-05
About this role
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role:
CrowdStrike's engineering organization is scaling its use of agentic AI across the software development lifecycle — from code generation to review to testing and release. As an AI SDLC Engineer, you'll help drive that transformation: building the platforms and workflows that let engineers ship faster, offload well-scoped work to AI agents with confidence, and spend more of their time on the hardest problems. You'll partner closely with engineering teams to identify friction points across the dev lifecycle and turn them into automated, agent-driven capabilities — with an eye toward efficient use of compute and model spend along the way.
What You'll Do:
- Design and build ag...