About the Role
Bright Vision Technologies, a forward-thinking software development company, is seeking an experienced Site Reliability Engineer (SRE) to join their dynamic team. This role involves ensuring the availability, performance, and operational excellence of the company’s large-scale distributed systems in production.
Key Responsibilities
- Define, instrument, 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.
- Lead incident response and resolution for production issues, acting as a calm and effective incident commander when needed, and ensuring high-quality post-incident reviews that drive lasting improvements.
- Design and implement comprehensive monitoring, logging, and tracing strategies using industry-leading tools to provide rich, actionable visibility into system behavior.
- Automate operational tasks aggressively by writing production-grade tooling in Python, Go, or Bash, replacing manual workflows with reliable, auditable automation.
- Architect and operate large-scale Kubernetes clusters and container-based workloads, including autoscaling, capacity planning, network policy, and integration with service meshes.
- Partner closely with application development teams to embed reliability practices early in the design process, including failure-mode analyses, graceful degradation patterns, and dependency hardening.
- Contribute to the technical roadmap for reliability tooling, observability platforms, and developer-experience improvements that reduce friction and improve outcomes for engineering teams.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related 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, and ELK/EFK.
Compensation & Benefits
- Competitive base salary commensurate with experience, plus a comprehensive benefits package.
How to Apply
Interested candidates can apply directly via the Apply Now button above. Visit the original listing for full application details.
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