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Bright Vision Technologies

Platform Reliability Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office
Redmond, WA, USA
100K-150K Annually
Senior level
In-Office
Redmond, WA, USA
100K-150K Annually
Senior level
The Platform Reliability Engineer will ensure the availability, performance, and reliability of large-scale distributed systems. Responsibilities include operating Linux and Kubernetes environments, building automation, managing CI/CD pipelines, implementing observability, troubleshooting distributed systems, leading incident response, conducting post-incident reviews, and reducing operational toil. The role may also involve SLOs, error budgets, chaos engineering, cloud platforms, capacity planning, load testing, and service mesh technologies.
The summary above was generated by AI
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 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.
Preferred Qualifications
  • 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.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.


 

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