Cloud Engineer, CrowdStrike

• Bring your experience in distributed technologies, your great API and systems design sensibilities, and your passion for writing code that performs at high scale
• 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
• Solid 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

Desirable

• We are building the next generation of our UI for CrowdStrike's platform called Kestrel which includes new UI and backend features to help customers 'Stop the Breach' by unifying data across security domains, streamlining access to the most important security information, and allowing users to more effectively personalize their user experience by role
• You will play a key role in innovating, building and maintaining critical backend features in support of the Kestrel platform
• We are also maintaining existing services written in Node.js which manage dynamic content and localisation within our console
• These bridge our Cloud (Go Lang) services with our front end UI applications
• You will be working with multiple backend teams, core service teams, and UI + backend feature teams to bring these features to life
• 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
• Constantly re-evaluate our products to improve architecture, testing coverage, knowledge models, user experience, performance, observability and stability
• Partner with product teams in understanding their needs, work with PM to document the new requirements, and implement those new features within our feature services