Reliability Engineer

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The Reliability Engineer will ensure the availability, performance, and operational excellence of large-scale distributed systems by applying software engineering principles to infrastructure and operations, automating services, and reducing operational toil.

Responsibilities:

• Ensure the availability, performance, and operational excellence of large-scale distributed systems in production
• 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
• Design, automate, and operate complex services so that reliability becomes a first-class engineering deliverable rather than a reactive concern

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, 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
• 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
• 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