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

140 000 - 215 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Sr. Site Reliability Engineer (Core Platform & Embedded Reliability): Building foundational libraries, services, observability tooling, and infrastructure-as-code for CrowdStrike’s large-scale cloud-native cybersecurity platform with an accent on distributed systems, reliability, scalability, and multi-cloud architecture. Focus on designing shared backend components, solving complex concurrency and failure-mode challenges, implementing SLOs and resilience engineering, and eliminating operational toil through automation.

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

Base salary: $140,000–$215,000 per year, with eligibility for bonuses, equity grants, and benefits.

Company

CrowdStrike provides a cloud-native cybersecurity platform that uses AI and large-scale distributed systems to protect organizations from cyberattacks.

What you will do

  • Build and improve foundational libraries, services, platforms, and tooling used across CrowdStrike’s product groups.
  • Partner with engineering leadership to define and deliver multi-year reliability, scalability, performance, and cost-efficiency roadmaps.
  • Develop production backend services and shared components for a large-scale distributed SaaS platform.
  • Establish observability practices, service-level objectives, error budgets, and automation-driven operational workflows.
  • Lead resilience engineering through chaos experiments, failure injection, capacity planning, profiling, and graceful-degradation design.
  • Provide technical leadership during incidents, drive architectural decisions, mentor engineers, and eliminate recurring classes of failure.

Requirements

  • 10+ years of experience building and operating distributed systems and service-oriented backends at scale.
  • 5+ years developing microservices for SaaS products using Go, Java, Scala, Kotlin, Python, or Node.
  • Expert proficiency in at least one programming language, with expert-level Go skills or the ability and willingness to reach that level.
  • Deep knowledge of distributed systems, consensus, replication, consistency models, failure modes, concurrency, parallel processing, and scalability patterns.
  • Experience making organization-wide architectural decisions, scaling backend systems, and delivering reliable production software.
  • Degree in Computer Science or equivalent experience with data structures, algorithms, and distributed systems; proven use of AI technologies to improve decision-making and workflows.

Nice to have

  • Experience with Kubernetes, AWS, Cassandra, Kafka, Elasticsearch/OpenSearch, GCP, or OCI.
  • Experience operating services across multiple cloud providers and building cloud-agnostic platforms or tooling.
  • Background in infrastructure cost optimization, performance engineering, chaos engineering, or resilience testing.
  • Experience establishing SLO/SLI frameworks, error budgets, internal developer platforms, or shared engineering tools.
  • Cybersecurity or intelligence industry experience and contributions to open source.

Culture & Benefits

  • Hands-on, autonomous engineering role focused on production code and architectural improvements rather than ticket management.
  • Professional development opportunities for employees at every level.
  • Physical and mental wellness programs, paid parental and adoption leave, vacation, and paid holidays.
  • Employee networks, neighborhood groups, volunteer opportunities, and office amenities.
  • Health insurance, 401(k), equity awards, and bonus eligibility.

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