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

Location: Hybrid; candidates must be based in Midtown Manhattan, NY; Redmond, WA; Sunnyvale, CA; or Austin, TX, with employees typically working 2–3 days per week in the office.

Base salary: $140,000–$215,000 per year for U.S. candidates, plus eligibility for bonuses, equity grants, health insurance, 401(k), and paid time off.

Company

Build and operate CrowdStrike Falcon, a cloud-native cybersecurity platform processing trillions of events per day and using AI to help protect organizations from cyberattacks.

What you will do

• Define and drive multi-year reliability roadmaps with engineering leadership across multiple product groups.
• Design and implement shared services, libraries, platforms, and architectural improvements for large-scale distributed systems.
• Build and maintain highly reliable, scalable backend services and cross-cutting cloud-platform libraries.
• Establish observability practices, service-level objectives, error budgets, automation, and continuous-delivery improvements.
• Lead performance, capacity, cost-optimization, resilience-engineering, chaos-testing, and infrastructure-as-code initiatives.
• Provide technical leadership during incidents, mentor engineers, influence architectural standards, and contribute to open source and Go engineering practices.

Requirements

• 10+ years building and operating distributed systems and service-oriented backends at scale.
• 5+ years developing microservices for a SaaS product using Go, Java, Scala, Kotlin, Python, or Node.js.
• Expert-level proficiency in at least one programming language, with expert-level Go or the ability and willingness to reach expert level in Go.
• Deep understanding of distributed systems, including consensus algorithms, replication, consistency models, failure modes, scalability patterns, sharding, partitioning, horizontal scaling, capacity planning, and performance optimization.
• Deep understanding of multithreading, concurrency, and parallel processing.
• Experience making and delivering organization-wide architectural decisions, influencing across organizational boundaries, and providing technical leadership.
• Strong engineering practices covering testing, peer code review, resilient architecture, and test-driven, collaborative, iterative development.
• Desire to ship production code and work as a strong team player in a fast-paced environment.
• Degree in Computer Science or equivalent experience with data structures, algorithms, and distributed systems.
• Proven experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.

Nice to have

• Reliability experience in organizations with hundreds or thousands of microservices.
• Knowledge of Kubernetes or other large-scale orchestration systems.
• Hands-on experience with AWS, Cassandra, Kafka, Elasticsearch/OpenSearch, GCP, OCI, or similar distributed technologies.
• Experience operating services across multiple cloud providers, including multi-cloud abstraction layers, portability, and cloud-agnostic tooling.
• Experience building internal or developer platforms, infrastructure cost optimization, performance engineering, profiling, and bottleneck analysis.
• Experience with chaos engineering, resilience testing, SLO/SLI frameworks, and error budgets.
• Open source contributions and prior experience in cybersecurity or intelligence.

Culture & Benefits

• Flexible, autonomous, collaborative, and iterative work environment with a focus on responsible AI adoption and innovation.
• Comprehensive physical and mental wellness programs.
• Competitive vacation, holidays, paid parental leave, and adoption leave.
• Professional development opportunities for all employees.
• Employee networks, geographic neighborhood groups, volunteer opportunities, and office amenities.