Remote Site Reliability Engineer - Scale & Automation

Bright Vision Technologies; North Brunswick Township (NJ); Remote; USD 100,000 - 180,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Site Reliability Engineer to ensure availability, performance, and operational excellence for large-scale distributed systems in production. You will bridge development and operations, applying software engineering to infrastructure and automating complex tasks to reduce toil.

The ideal candidate has 10+ years of SRE/DevOps experience, strong programming skills in Python/Go/Java, deep Linux and Kubernetes knowledge, and a track record building

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
• 10+ 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.
• 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.

Responsibilities

• Define, instrument, and continually refine service-level objectives (SLOs), service-level indicators (SLIs), and error budgets for critical services, and use those measures to drive concrete engineering and prioritization decisions.
• Lead incident response and resolution for production issues, acting as a calm and effective incident commander when needed, and ensuring high-quality post-incident reviews that drive lasting improvements.
• Design and implement comprehensive monitoring, logging, and tracing strategies using Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, or similar tooling so that operators have rich, actionable visibility into system behavior.
• Build and maintain robust on‑call processes, runbooks, and escalation paths that reduce mean time to detect and mean time to resolve while protecting the well‑being of the engineers on rotation.
• Automate operational toil aggressively by writing production‑grade tooling in Python, Go, Bash, or similar languages, replacing manual workflows with reliable, auditable automation.
• Architect and operate large‑scale Kubernetes clusters and container‑based workloads, including autoscaling, capacity planning, network policy, and integration with service meshes.
• Design CI/CD pipelines that promote safe, frequent, and observable releases, supported by automated testing, canary deployments, feature flags, and progressive rollout strategies.
• Lead capacity planning and performance engineering activities, building models that predict growth and stress, and validating those models through load testing and chaos experiments.
• Partner closely with application development teams to embed reliability practices early in design — including failure‑mode analyses, graceful degradation patterns, and dependency hardening.
• Strengthen the platform’s resiliency through chaos engineering, fault injection, dependency isolation, retries, timeouts, circuit breakers, and well‑tested failover paths.
• Drive continuous improvement of security posture in collaboration with security teams, including patch management, vulnerability remediation, and secure‑by‑default platform defaults.
• Contribute to the technical roadmap for reliability tooling, observability platforms, and developer‑experience improvements that reduce friction and improve outcomes for engineering teams.
• Mentor engineers across the organization on SRE practices and foster a strong, blameless culture of operational excellence.

Skills

Python

Go

Java

Linux

Kubernetes

CI/CD

Observability

Incident response

Automation

Communication

Education

Bachelor's degree

Tools

Prometheus

Grafana

OpenTelemetry

ELK/EFK

Datadog

AWS

Job description

Bright Vision Technologies is seeking an experienced Site Reliability Engineer to ensure availability, performance, and operational excellence for large-scale distributed systems in production. You will bridge development and operations, applying software engineering to infrastructure and automating complex tasks to reduce toil.

The ideal candidate has 10+ years of SRE/DevOps experience, strong programming skills in Python/Go/Java, deep Linux and Kubernetes knowledge, and a track record building