Systems Reliability Engineer

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design, automate, and operate highly reliable distributed systems in a modern engineering environment. Maintain and improve reliability, performance, and scalability of large-scale production systems. Requires strong software engineering, infrastructure expertise, and automation skills.

Key Highlights

Design, build, and maintain reliable distributed systems

Develop automation tools using Python, Go, or Java

Implement observability solutions with Prometheus, Grafana, OpenTelemetry

Lead incident response and post-mortem reviews

Key Responsibilities

Maintain and improve the reliability, performance, and scalability of large-scale production systems

Design, build, and maintain reliable distributed systems while improving availability and performance

Develop automation tools and solutions using programming languages such as Python, Go, or Java

Operate and troubleshoot Linux-based systems at scale, including networking, performance optimization, and system-level issues

Manage Kubernetes and containerized workloads in production environments

Build, maintain, and improve CI/CD pipelines supporting both applications and infrastructure

Implement and enhance observability solutions using tools such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, or similar platforms

Monitor system health, define reliability improvements, and contribute to proactive performance management

Lead incident response activities, conduct post-incident reviews, and implement preventative improvements

Support the development and adoption of reliability practices including automation, service ownership, and operational excellence

Collaborate with engineering and cross-functional teams to improve system design and resilience

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Technical Skills Required

Python Go Java Linux Kubernetes Prometheus

Benefits & Perks

Competitive annual salary range of $100,000-$150,000

Fully remote work environment within the United States

Full-time employment opportunity

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Nice to Have

SLOs, error budgets, chaos engineering practices, and reliability frameworks

Familiarity with cloud platforms such as AWS, Azure, or GCP

Background in capacity planning, performance engineering, load testing, or service mesh technologies

Job Description

This role offers the opportunity to design, automate, and operate highly reliable distributed systems in a modern engineering environment.You will work at the intersection of software development and infrastructure operations to improve platform stability, scalability, and performance.The position focuses on reducing operational complexity through automation, observability, and engineering best practices.You will help ensure critical systems remain available and resilient while proactively addressing reliability challenges.The ideal candidate will bring strong systems expertise, programming skills, and a passion for building dependable technology platforms.

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