Reliability Engineer

Reliability Engineer - RemoteBright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.Job Title: Reliability EngineerLocation: 100% Remote (U.S.)Position Type: Full-time, Direct W2Salary Range: $75,000-$95,000 AnnuallyExperience Required: 6+ yearsSponsorship: 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.Job SummaryWe 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

Reliability Engineering, EAD, Reliability Engineering, Artificial Intelligence (AI), Production Systems, Computer Programming, Software Engineering, Distributed Computing, Cloud Computing, Software Development, 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.Required Qualifications

• 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.