Platform Reliability Engineer (Kubernetes)

Location: 100% remote within the 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.
• Build automation and tooling using Python, Go, or Java to improve infrastructure and operations.
• Operate Linux systems, Kubernetes clusters, and container-based workloads at scale.
• Design and operate CI/CD pipelines for infrastructure and applications.
• Lead incident response and conduct effective post-incident reviews.
• Improve platform reliability through observability, SLOs, error budgets, and reduced operational toil.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• At least 5 years of SRE, DevOps, or production engineering experience with large-scale distributed systems.
• Strong programming skills in Python, Go, or Java.
• Hands-on Linux experience, including networking, performance tuning, and systems-level troubleshooting.
• Production experience with Kubernetes, containers, observability tools, and CI/CD pipelines.
• Applicants must be U.S. citizens, Green Card holders, EAD holders, or H-1B transfer candidates; new H-1B visa petitions cannot be sponsored.

Nice to have

• Experience defining and operationalizing SLOs and error budgets.
• Exposure to chaos engineering tools such as Chaos Monkey, Gremlin, or Litmus.
• Experience with AWS, Azure, or GCP.
• Background in capacity planning, performance engineering, or large-scale load testing.
• Familiarity with Istio, Linkerd, Consul, or other service mesh technologies.

Culture & Benefits

• Full-time direct W-2 employment.
• Opportunity for career growth within an established technology consulting and software development organization.
• Work focused on cloud, AI, data, enterprise systems, and large-scale distributed platforms.