Reliability Engineer

Bright Vision Technologies is hiring a Reliability Engineer to ensure the availability, performance, and operational excellence of large-scale distributed systems in production. The role applies software engineering principles to infrastructure and operations, automates and operates complex services, and improves reliability while reducing operational toil.

Responsibilities:

• We are seeking an experienced Reliability Engineer to ensure the availability, performance, and operational excellence of large-scale distributed systems in production
• As an SRE you will live at the boundary between development and operations, applying strong software engineering principles to infrastructure and operations problems, and continually pushing the platform toward higher reliability with lower operational toil
• The ideal candidate will combine deep systems knowledge with strong programming skills, a measurement-driven mindset, and the discipline to design, automate, and operate complex services so that reliability becomes a first-class engineering deliverable rather than a reactive concern

Requirements:

• U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position
• 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, 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 capacity planning, performance engineering, or large-scale load testing
• Familiarity with service mesh technologies such as Istio, Linkerd, or Consul