Sr. Site Reliability Engineer - Core Platform & Embedded Reliability (Hybrid)
CrowdStrike11 hours ago
Base Salary
$140k - $215k/yr
Responsibilities
- Partner with engineering leadership across product groups to define and execute multi-year reliability roadmaps.
- Design and implement shared services, libraries, platforms, and architectural improvements for large-scale distributed systems.
- Build and maintain scalable backend services and cross-cutting libraries for CrowdStrike’s cloud platform.
- Lead reliability, scalability, performance, capacity planning, cost optimization, and resilience engineering initiatives.
- Establish observability practices, service-level objectives, error budgets, automation, and infrastructure-as-code.
- Conduct chaos experiments, failure injection, failure modeling, and graceful-degradation design.
- Provide technical leadership during complex incidents and drive follow-up improvements that eliminate classes of failures.
- Influence strategic technical decisions across organizational boundaries and mentor engineers on architecture and engineering practices.
- Contribute to open source and promote software engineering best practices, particularly in Go.
Requirements
- 10+ years of experience building and operating distributed systems and service-oriented backends at scale.
- 5+ years developing SaaS microservices in a modern backend language such as Go, Java, Scala, Kotlin, Python, or Node.js.
- Expert-level proficiency in at least one programming language, with expert-level Go proficiency or the ability and willingness to reach it.
- Deep knowledge of distributed systems, consensus algorithms, replication, consistency models, failure modes, scalability, concurrency, and parallel processing.
- Demonstrated experience scaling backend systems through sharding, partitioning, horizontal scaling, capacity planning, and performance optimization.
- Experience making and delivering architectural decisions with organizational-scale impact.
- Strong systems thinking and ability to influence across organizational boundaries without direct authority.
- Thorough command of testing, peer code review, resilient architecture, and collaborative engineering practices.
- Degree in Computer Science or commensurate experience in data structures, algorithms, and distributed systems.
- Proven experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.
- Preferred experience includes Kubernetes, AWS, Cassandra, Kafka, Elasticsearch or OpenSearch, Google Cloud Platform, Oracle Cloud Infrastructure, multi-cloud systems, internal platforms, infrastructure cost optimization, performance engineering, chaos engineering, SLO/SLI frameworks, open-source contributions, and cybersecurity or intelligence.
Benefits
- Compensation and equity awards are offered, with eligibility for bonuses and equity grants.
- Comprehensive physical and mental wellness programs are provided.
- Competitive vacation, holidays, paid parental leave, and paid adoption leave are offered.
- Professional development opportunities, employee networks, geographic neighborhood groups, and volunteer opportunities are available.
- The role is hybrid, based in Midtown Manhattan, NY; Redmond, WA; Sunnyvale, CA; or Austin, TX, with employees typically working two to three days per week in the office.
- The benefits package includes health insurance, 401k, paid time off, and office amenities.
Tech Stack
Apache CassandraApache KafkaAWSElasticsearchGoGoogle Cloud PlatformJavaKotlinKubernetesNode.jsOracle CloudPythonScala
Categories
BackendSite Reliability
About CrowdStrike
CrowdStrike builds the Falcon cloud-native security platform used by enterprises and governments to protect endpoints, cloud workloads, identities, and data with EDR, next-generation antivirus, threat intelligence, and managed threat hunting. Founded in 2011 and publicly traded on NASDAQ as CRWD, the company sells primarily by subscription and also provides incident response services; its systems ingest and analyze nearly 3 trillion security events per day across customer environments.