Sr. Site Reliability Engineer - Core Platform & Embedded Reliability (Hybrid)

Experteer Overview In this role you will secure and scale CrowdStrike Falcon by shaping reliability across the Core Platform and Embedded Reliability teams. You will work closely with product engineers to implement foundational libraries, services, and tooling that customers rely on at global scale. You’ll tackle complex platform challenges, drive architectural decisions, and improve observability and automation. This is a high-impact, hands-on backend engineering role that values autonomy and continuous improvement in a mission-driven security company. Compensation / Benefits * Partner with engineering leadership to define long-term reliability roadmaps * Design and implement architectural improvements to services, libraries, and platforms * Develop and maintain services meeting stringent reliability and scalability targets * Extend libraries for cross-cutting cloud platform concerns * Lead reliability, scalability, performance, and cost-efficiency initiatives in large-scale systems * Establish observability practices and leverage signals to drive automation and CD * Define service-level objectives and error budgets to guide priorities * Lead performance and cost optimization through profiling and capacity planning * Conduct resilience engineering including chaos experiments and failure injection * Automate infrastructure and pursue infrastructure-as-code to improve reliability * Provide technical leadership during incidents and ensure actionable post-incident improvements * Extract common patterns into shared libraries and collaborate with platform teams * Continuously re-evaluate architectures to improve performance, reliability, and developer experience * Drive strategic technical decisions affecting the organization’s infrastructure * Mentor engineers and raise technical standards across the org * Contribute to and evangelize Go best practices within the open source/community Tasks * 10+ years building and operating distributed systems and service-oriented backends at scale * 5+ years developing microservices for a SaaS product in a modern backend language * Expert-level proficiency in at least one language with expert-level Go is preferred * Deep understanding of distributed systems, consensus, replication, and scalability * Proven experience scaling backend systems (sharding, horizontal scaling, capacity planning) * Strong multi-threading, concurrency, and parallel processing knowledge * Track record of architectural decisions at organizational scope * Strong systems thinking and cross-team influence abilities * Thorough knowledge of engineering best practices and resilient architectures * Thrives in fast-paced, test-driven environments; team-player mentality * Desire to ship code and see it in production * Degree in Computer Science or equivalent experience * Proven experience using AI technologies to enhance decision-making and workflow efficiency * Bonus: Kubernetes, AWS, Cassandra, Kafka, Elasticsearch/OpenSearch, GCP, OCI, multi-cloud, internal platform tooling * Experience delivering or operating services across multiple clouds * Experience with cost optimization, performance engineering, chaos engineering, SLO/SLI, and open source contributions * Prior cybersecurity or intelligence field experience Key requirements * market-leading compensation and equity * wellness programs * vacation and holidays * parential and adoption leaves * professional development opportunities * employee networks and volunteer opportunities

• Establish observability practices and leverage signals to drive automation and CD * Define service-level objectives and error budgets to guide priorities * Lead performance and cost optimization through profiling and capacity planning * Conduct resilience engineering including chaos experiments and failure injection * Automate infrastructure and pursue infrastructure-as-code to improve reliability * Provide technical leadership during incidents and ensure actionable post-incident improvements * Extract common patterns into shared libraries and collaborate with platform teams * Continuously re-evaluate architectures to improve performance, reliability, and developer experience * Drive strategic technical decisions affecting the organization’s infrastructure * Mentor engineers and raise technical standards across the org * Contribute to and evangelize Go best practices within the open source/community Tasks * 10+ years building and operating distributed systems and service-oriented aaaa code at scale * 5+ years developing microservices for a SaaS product in a modern backend language * Expert-level proficiency in at least one language with expert-level Go is preferred * Deep understanding of distributed systems, consensus, replication, and scalability * Proven experience scaling backend systems (sharding, horizontal scaling, capacity planning) * Strong multi-threading, concurrency, and parallel processing knowledge * Track record of architectural decisions at organizational scope * Strong systems thinking and cross-team influence abilities * Thorough knowledge of engineering best practices and resilient architectures * Thrives in fast-paced, test-driven environments; team-player mentality * Desire to ship code and see it in production * Degree in Computer Science or equivalent experience * Proven experience using AI technologies to enhance decision-making and workflow efficiency * Bonus: Kubernetes, AWS, Cassandra, Kafka, Elasticsearch/OpenSearch, GCP, a the multi-cloud, internal platform tooling * Experience delivering or operating services across multiple clouds * Experience with cost optimization, performance engineering, chaos engineering, SLO/SLI, and open source contributions * Prior cybersecurity or intelligence field experience Key requirements * market-leading compensation and equity * wellness programs * vacation and holidays * parential and adoption leaves * professional development opportunities * employee networks and volunteer opportunities