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Platform Reliability Engineer

Bright Vision TechnologiesUnited States🌍 Remote
Full-time7-15
$100k - $150k
per year
👁️ 0 views📝 0 applicationsPosted 8/10/2026Expires 10/9/2026
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Job Description

Platform Reliability Engineer – Remote Bright 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: Platform Reliability Engineer Location: 100% Remote (U. S.)

Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ years Sponsorship: 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 Summary

We are seeking an experienced Platform 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 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 k

Required Skills

PythonGoJavaLinuxKubernetesComputer Science

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