Remote SRE Engineer — Scale, Automation & Reliability

Bright Vision Technologies

United States

Remote

USD 75,000 - 95,000

Full time

3 days ago
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Benefits offered by this job

Equal opportunity employer
Remote work

Job summary

Bright Vision Technologies is 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 bridge development and operations, applying software engineering to infrastructure and automation to raise reliability with lower toil.

The ideal candidate will have a BS in CS/Engineering and 5+ years in SRE/DevOps, strong Python/Go/Java skills, Linux, Kubernetes, and solid

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 5+ years of SRE/DevOps/production engineering for large-scale distributed systems.
  • Strong coding skills in Python/Go/Java for automation.
  • Deep Linux experience, networking, performance tuning, and triaging.
  • Kubernetes expertise with container-based workloads.
  • Experience with observability tooling (Prometheus, Grafana, OpenTelemetry, ELK/EFK).
  • Experience designing and operating CI/CD pipelines for infra and apps.

Responsibilities

  • Ensure availability, performance, and reliability of large-scale distributed systems.
  • Apply software engineering principles to infrastructure and operations problems.
  • Automate and operate complex services to reduce toil and improve reliability.
  • Lead incident response and post-incident reviews with clear documentation.

Skills

Python/Go/Java
SRE/DevOps
Linux
Kubernetes
Observability tools

Education

Bachelor’s degree in CS/Engineering

Tools

Prometheus
Grafana
OpenTelemetry
ELK/EFK
CI/CD tooling

Job description

Bright Vision Technologies is 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 bridge development and operations, applying software engineering to infrastructure and automation to raise reliability with lower toil.

The ideal candidate will have a BS in CS/Engineering and 5+ years in SRE/DevOps, strong Python/Go/Java skills, Linux, Kubernetes, and solid

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