Systems Reliability Engineer

Bright Vision Technologies • Orlando, FL

1d • $100,000 - $150,000 • Remote

About The Position

Bright Vision Technologies is seeking an experienced Site Reliability Engineer to ensure the availability, performance, and operational excellence of large-scale distributed systems in production. The role works at the boundary between development and operations, applying software engineering principles to infrastructure and operations problems and improving reliability while reducing operational toil. The ideal candidate brings deep systems knowledge, strong programming skills, a measurement-driven mindset, and the ability to design, automate, and operate complex services so reliability is treated as a core engineering deliverable.

This is a full-time, direct W2 position that is 100% remote in the United States. The listed annual salary range is $100,000–$150,000. Candidates who are U.S. citizens, Green Card holders, EAD holders, or seeking an H-1B transfer are encouraged to apply; the company cannot sponsor new H-1B visa petitions for this position.

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, including 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 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.

Nice To Haves

• 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.

Responsibilities

• Ensure the availability, performance, and operational excellence of large-scale distributed systems in production.
• Apply software engineering principles to infrastructure and operations problems.
• Continuously improve platform reliability and reduce operational toil.
• Design, automate, and operate complex services.
• Lead incident response and conduct effective post-incident reviews.
• Design and operate CI/CD pipelines for infrastructure and applications.
• Operate Linux systems, Kubernetes, and container-based workloads in production.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level