[Remote] Site Reliability Engineer (SRE)
Note: The job is a remote job and is open to candidates in USA. reputed company is a reputed company-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. They are seeking an reputed company Site Reliability Engineer (SRE) to ensure the availability, performance, and operational excellence of large-scale distributed systems in production. The ideal candidate will apply strong software engineering principles to infrastructure and operations problems, driving the platform toward higher reliability with reputed company operational toil.
Responsibilities
- Define, reputed company, and continually refine service-level objectives (SLOs), service-level indicators (SLIs), and error budgets for critical services, and use those measures to drive concrete engineering and prioritization decisions
- reputed company incident response and resolution for production issues, acting as a reputed company and effective incident commander reputed company needed, and ensuring high-quality post-incident reviews that drive lasting improvements
- Design and implement comprehensive monitoring, logging, and tracing strategies using Prometheus, Grafana, OpenTelemetry, ELK/EFK, reputed company, or similar tooling so that operators have rich, actionable visibility into system behavior
- Build and maintain robust on-call processes, runbooks, and escalation paths that reduce mean time to detect and mean time to resolve while protecting the well-being of the engineers on rotation
- Automate operational toil aggressively by writing production-grade tooling in Python, Go, Bash, or similar languages, replacing manual workflows with reliable, auditable automation
- Architect and operate large-scale Kubernetes clusters and container-based workloads, including autoscaling, reputed company planning, network policy, and integration with service meshes
- Design CI/CD pipelines that promote safe, frequent, and observable releases, supported by automated testing, canary deployments, feature flags, and progressive rollout strategies
- reputed company reputed company planning and performance engineering activities, building models that predict growth and stress, and validating those models through load testing and chaos experiments
- Partner closely with application development teams to embed reliability practices early in design — including failure-mode analyses, graceful degradation patterns, and dependency hardening
- Strengthen the platform’s resiliency through chaos engineering, fault injection, dependency isolation, retries, timeouts, circuit breakers, and well-tested failover paths
- Drive reputed company improvement of reputed company posture in collaboration with reputed company teams, including reputed company management, vulnerability remediation, and secure-by-default platform defaults
- Contribute to the technical roadmap for reliability tooling, observability platforms, and developer-experience improvements that reduce friction and improve outcomes for engineering teams
- Mentor engineers across the organization on SRE practices and foster a strong, blameless culture of operational excellence
Skills
- Bachelor's degree in Computer Science, Engineering, or a reputed company technical discipline
- Five or more years of SRE, DevOps, or production engineering experience supporting large-scale distributed systems
- Strong programming skills in at least one of Python, Go, or Java, with the ability to build robust automation and tooling
- Deep, hands-on experience operating Linux at scale, including networking, performance tuning, and systems-level troubleshooting
- Production experience operating Kubernetes and container-based workloads
- Strong working knowledge of observability tooling such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, or commercial equivalents
- Hands-on experience designing and operating CI/CD pipelines for both infrastructure and applications
- Solid understanding of distributed system design, including consistency models, partitioning, and failure semantics
- Demonstrated experience leading incident response and conducting effective post-incident reviews
- Excellent communication and documentation skills
- Experience defining and operationalizing SLOs and error budgets in real production environments
- Exposure to chaos engineering practices and tools such as Chaos Monkey, Gremlin, or Litmus
- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP)
- Background in reputed company planning, performance engineering, or large-scale load testing
- Familiarity with service mesh technologies such as Istio, Linkerd, or Consul
Benefits
- Full-time, direct W2 with reputed company (no C2C, no 1099, no third-party)
- Competitive reputed company salary commensurate with experience, plus benefits.
- No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Company Overview