About the 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 this role: The Core Services & Libraries team builds and owns the shared Go libraries and platform capabilities that CrowdStrike's engineering organization runs on. If an engineer needs to talk to a data store, publish a message, make a service call, manage feature rollouts, or handle failures gracefully — they reach for something this team built. You'll own foundational software that has to be right: well-designed APIs that tens of teams adopt, resilience patterns that hold up under real-world failure, and cloud abstractions that let services deploy anywhere without caring where. The scope is broad and growing — spanning data access, messaging, service communication, multi-cloud portability, observability, and security — with plans to extend beyond Go into other language ecosystems. What You’ll Do: Build and own shared libraries that engineers across the company depend on for data access, messaging, service communication, observability, and resilience Design APIs that get adopted — your interfaces need to be good enough that teams choose them over building their own; that means thoughtful defaults, clean abstractions, backward compatibility, and strong documentation Build multi-cloud abstractions that let services run across cloud providers and on-premise environments without vendor-specific code Design and implement resilience patterns — retries, circuit breakers, load shedding, graceful degradation — as reusable primitives that become the default for every service Build platform capabilities — feature management, traffic control, disaster recovery, and sharding as composable libraries Own the security posture of shared dependencies — keep foundational libraries current, remediate vulnerabilities, and ship secure defaults Participate in architectural governance — propose, review, and shepherd RFCs that set direction for the services ecosystem Advocate and consult — be a trusted advisor to engineering teams adopting shared libraries; help them make the right architectural choices, unblock integration challenges, and feed their needs back into the platform Partner with Data Services, Infrastructure, SRE, and Observability — your libraries sit on top of their platforms; build strong working relationships that keep shared libraries aligned with operational reality Operate what you build — on-call rotations, production triage, and using operational insight to make the libraries better What You’ll Need: Strong Go expertise — you've built production libraries or frameworks, or have deep experience designing APIs and abstractions consumed by other engineering teams Distributed systems depth — hands-on experience with message brokers, data stores, service communication frameworks, and the failure modes that come with distributed architectures Library and API design sensibility — you understand backward compatibility, versioning, migration paths, and what makes an API that developers actually want to use Cloud infrastructure experience — meaningful experience with at least one major cloud provider, ideally including multi-region or multi-cloud patterns Operational maturity — you've owned production reliability for systems you've built, debugged incidents under pressure, and turned those experiences into improvements 5+ years of software engineering experience, with meaningful time in platform, infrastructure, or developer tools Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
