[Hiring] Engineer III, AI SDLC Engineer @CrowdStrike

Role Description

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.
• Offloading well-scoped work to AI agents with confidence.
• Spending more time on the hardest problems.
• Partnering closely with engineering teams to identify friction points across the dev lifecycle.
• Turning friction points into automated, agent-driven capabilities.
• Focusing on efficient use of compute and model spend.

What You'll Do

• Design and build agentic workflows that let engineers automate more of the SDLC — from code generation and review to testing and release — with confidence in the output.
• Improve context-grounding systems so agents resolve the right information on the first try, cutting slow, error-prone multi-turn search out of the workflow.
• Tune model-routing so each task runs on the model best suited to it — matching capability to the job at hand, with cost efficiency as one input among several.
• Build observability and quality tooling — dashboards, usage insights, benchmark suites — that give engineers confidence in what agents are doing and how well they're doing it.
• Establish internal benchmarks graded against real-world tasks (bug detection, review quality, latency) to validate improvements empirically rather than by intuition.
• Partner closely with engineering teams to identify high-friction points in their workflows and turn them into automated, agent-driven capabilities.
• Contribute to the broader engineering culture of responsible, effective AI adoption across the organization.

Qualifications

• 5+ years of backend/platform engineering experience, ideally with production Kubernetes systems.
• Hands-on experience building or operating LLM-agent infrastructure — harnesses, tool-integration protocols, subagent orchestration, or similar.
• Strong understanding of LLM application mechanics: context windows, prompt design, caching, and reasoning/latency tradeoffs.
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
• Comfort working from ambiguous, evolving specs.
• Go and/or Python proficiency.
• Experience building internal developer platforms, observability tooling, or cost/governance dashboards.

Bonus Points

• Experience with modern AI coding agent frameworks or SDKs.
• Familiarity with graph-based context systems (knowledge graphs, entity resolution) feeding LLM applications.
• Background instrumenting or optimizing large-scale event pipelines.
• Prior experience running a benchmark-driven optimization program (A/B testing, Pareto-frontier tracking) for a production system.

Benefits

• Market leader in compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holidays for recharge.
• Paid parental and adoption leaves.
• Professional development opportunities for all employees regardless of level or role.
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections.
• Vibrant office culture with world class amenities.
• Great Place to Work Certified™ across the globe.