Sr. Engineer II (Remote)
Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026. CrowdStrike scores A on the Alion truth index.
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 a Sr. AI SDLC Engineer II, 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 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.
What You'll Need:
- 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 Qualifications
- 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.
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Benefits of Working at CrowdStrike:
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
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.
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CrowdStrike participates in the E-Verify program.
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CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $160,000 - $250,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.For detailed information about the U.S. benefits package, please click here.