Systems Reliability Engineer

Location: 100% Remote (United States)

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Ensure the availability, performance, and operational excellence of large-scale distributed systems in production.
• Design, automate, and operate complex services, infrastructure, and operational tooling.
• Operate Linux systems, Kubernetes clusters, and container-based workloads at scale.
• Design and manage CI/CD pipelines for infrastructure and applications.
• Lead incident response and conduct effective post-incident reviews.
• Apply software engineering principles and measurement-driven practices to improve reliability and reduce operational toil.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• At least five 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 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, plus excellent communication and documentation skills.

Nice to have

• 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 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.

Culture & Benefits

• Full-time direct W2 employment.
• 100% remote work within the United States.
• Career growth opportunities within an established technology consulting and software development organization.
• Equal employment opportunity and a workplace free from harassment and discrimination.