Remote Site Reliability Engineer — Scale & Automate

Bright Vision Technologies; Sterling (VA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking a Systems Reliability Engineer (Remote) to ensure reliability of large-scale distributed systems across client environments. You will work at the intersection of development and operations, building robust automation and tooling to drive high availability.

The role requires deep Linux expertise, strong programming skills (Python/Go/Java), and hands-on experience with Kubernetes, CI/CD, and observability stacks.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical field
• Five or more years of SRE/DevOps or production engineering experience
• Strong programming in Python, Go, or Java with automation tooling
• Deep Linux experience at scale including networking and troubleshooting
• Production experience operating Kubernetes and container workloads
• Experience with observability tooling and metrics dashboards
• Hands-on CI/CD for infrastructure and applications
• Solid understanding of distributed system design and failure semantics
• Experience leading incident response and post-incident reviews
• Excellent communication and documentation skills

Responsibilities

• Ensure availability, performance, and operational excellence of large-scale distributed systems
• Apply software engineering principles to infrastructure and operations problems
• Design, automate, and operate complex services to improve reliability
• Lead incident response and post-incident reviews to drive improvements

Skills

Python/Go/Java

Linux administration

Kubernetes

CI/CD pipelines

Observability tools

Incident response

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

Prometheus/Grafana/OpenTelemetry/ELK

Job description

Bright Vision Technologies is seeking a Systems Reliability Engineer (Remote) to ensure reliability of large-scale distributed systems across client environments. You will work at the intersection of development and operations, building robust automation and tooling to drive high availability.

The role requires deep Linux expertise, strong programming skills (Python/Go/Java), and hands-on experience with Kubernetes, CI/CD, and observability stacks.