6 дней назад
Systems Reliability Engineer (Kubernetes)
100 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Systems Reliability Engineer (Kubernetes): Operating and improving large-scale distributed production systems with an accent on observability, incident response, automation, and resilient infrastructure. Focus on designing SLOs and error budgets, architecting Kubernetes platforms, building progressive CI/CD delivery, and validating reliability through capacity planning and chaos engineering.
Location: 100% remote within the United States
Salary: $100,000–$150,000 annually
Company
is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
What you will do
- Define and use SLOs, SLIs, and error budgets to guide reliability priorities for critical services.
- Lead production incident response, incident command, post-incident reviews, and continuous operational improvements.
- Design monitoring, logging, and tracing strategies using Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, or similar tools.
- Operate large-scale Kubernetes and container platforms, including autoscaling, capacity planning, network policies, and service mesh integrations.
- Automate operational work with production-grade Python, Go, Bash, or similar tooling and build reliable CI/CD pipelines with testing, canary releases, feature flags, and progressive rollouts.
- Improve resilience, security, and developer experience through chaos engineering, failure analysis, dependency hardening, patch management, and mentoring.
Requirements
- Must be authorized to work in the United States as a U.S. citizen, Green Card holder, EAD holder, or H-1B transfer candidate.
- New H-1B visa petitions cannot be sponsored.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- At least 5 years of SRE, DevOps, or production engineering experience with large-scale distributed systems.
- Strong programming skills in Python, Go, or Java, plus hands-on Linux, Kubernetes, containers, observability, and CI/CD experience.
- Knowledge of distributed systems, incident response, post-incident reviews, communication, and technical documentation.
Nice to have
- Experience with production SLOs and error budgets, chaos engineering, capacity planning, performance engineering, or large-scale load testing.
- Experience with AWS, Azure, or GCP.
- Familiarity with Istio, Linkerd, or Consul.
Culture & Benefits
- Full-time direct W-2 employment.
- Remote work within the United States.
- Opportunity for career growth within an established technology organization.
- Blameless culture focused on operational excellence and engineer well-being during on-call rotations.
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