We’re building the next-generation infrastructure and security platform for CrowdStrike which include an application and service delivery platform, massively scalable distributed data storage and replication systems, and a cutting-edge search and distributed graph system. Help us scale CrowdStrike’s infrastructure and products to handle massive growth in traffic and data as we continue to experience dramatic growth in the usage of our products.
Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products.
Design, develop, document, test, deploy, maintain, and enhance large scale services.
Take ownership and be accountable for deliverables.
Triage system issues and debug by analyzing the sources of issues and the impact on service operations.
Be mentored and mentor other developers on web, backend and data storage technologies and our system.
Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability.
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.
Team player skills – we embrace collaborating as a team as much as possible.
A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.
The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment.
The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
Authored and lead successful open source libraries and projects.
Contributions to the open source community (GitHub, Stack Overflow, blogging).
Existing exposure to Go, Scala, AWS, Cassandra, Kafka, Elasticsearch.