Sr. Software Engineer, Cloud Product Infrastructure
Listed on 2026-02-28
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Software Development
Cloud Engineer - Software, Software Engineer, Backend Developer, DevOps
As a global leader in cybersecurity, Crowd Strike 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 Crowd Strike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission‑driven company. We cultivate a culture that gives every Crowd Striker both the flexibility and autonomy to own their careers. We’re always looking to add talented Crowd Strikers 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.
The Role
As a Senior(+) Engineer (typically equivalent to Staff or Sr Staff titles in other companies), you’ll join this Core Platform Team with bottom‑up visibility and ownership over a fast‑expanding codebase aimed at AI‑based Detection & Response. You’ll work on deploying core services to new clouds, modularizing reusable components, improving core libraries, frameworks, observability tooling (tracing, profiling, alerting, SLOs, etc.), and reducing manual toil through automation.
Recently the group introduced adaptive concurrency to our core Kafka library for flow control to protect database performance. In overarching terms, you’ll build and maintain the next‑generation infrastructure and security platform for Crowd Strike, including an application and service delivery platform, massively scalable distributed data storage and replication systems, and a cutting‑edge search and distributed graph system.
- Develop and maintain services to meet reliability and scalability demands.
- Extend and build new libraries for cross‑cutting concerns that comprise or extend to the entirety of Crowd Strike's cloud platform, which consists of hundreds of libraries and services.
- Constantly re‑evaluate our product to improve architecture, knowledge models, user experience, performance and stability.
- Provide technical leadership and guidance for large‑scale architectural changes and complex incident management.
- Lead initiatives around reliability, scalability, performance, and cost‑efficiency in distributed systems.
- Design and implement automation tools to improve the reliability and efficiency of our infrastructure.
- Develop and enhance monitoring services.
- Use and give back to the open source community.
- Evangelize best practices for building software, especially as it pertains to Go.
- Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team.
- Drive strategic decisions and influence infrastructure and operational improvements across the organization.
- Brainstorm, define, and build collaboratively with members across multiple teams.
- Be an energetic “self‑starter” with the ability to take ownership and be accountable for deliverables.
- 'At least' moderately proficient coding ability in either Golang or C++ (ideal is expert‑level knowledge of Golang).
- 7–10+ years of full‑time experience in a service‑oriented backend developer role.
- 5+ years developing microservices for a SaaS product, in one of the following object‑oriented languages:
Golang, Java, Scala, Kotlin, Python, Node.js. - Degree in Computer Science (or commensurate experience in data structures, algorithms, distributed systems).
- The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you.
- The desire to ship code and the love of seeing your bits run in production.
- Deep understanding of distributed systems and scalability challenges.
- Deep understanding of multi‑threading, concurrency, and parallel processing technologies.
- Team player skills – we embrace collaborating as a team as much as possible.
- A thorough understanding of engineering best practices from…
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