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. 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 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. - Working knowledge of observability tooling such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, or equivalents. - Hands-o

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. 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 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. - Working knowledge of observability tooling such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, or equivalents. - Hands-o