DevOps & SRE Engineer
About The Position
Bright Vision Technologies is seeking an experienced DevOps & SRE 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, and continuously improves platform 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 a first-class engineering deliverable. This is a full-time, direct W2 position that is 100% remote in the United States. The salary range is $100,000–$150,000 annually. U.S. citizens, Green Card holders, EAD holders, and candidates seeking an H-1B transfer are encouraged to apply.
Requirements
- More than 5 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 both infrastructure and applications.
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 production systems.
- Apply software engineering principles to infrastructure and operations problems.
- Improve platform reliability while reducing operational toil.
- Design, automate, and operate complex services and infrastructure.
- Operate Linux systems and Kubernetes-based container workloads in production.
- Build automation and tooling, and design and operate CI/CD pipelines for infrastructure and applications.
- Use observability practices and tooling to monitor and operate services.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
