Platform Reliability Engineer

Location: 100% remote within the Continental United States.

Salary: $135K–$185K annually.

Company

hirify.global is a software development company building scalable, secure, and user-friendly applications that automate and optimize business operations.

What you will do

• Define and refine SLOs, SLIs, and error budgets for critical services and use them to guide engineering priorities.
• Lead production incident response, act as incident commander when needed, and conduct post-incident reviews.
• Design monitoring, logging, and tracing using Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, or similar tools.
• Build on-call processes, runbooks, escalation paths, and production-grade automation in Python, Go, Bash, or similar languages.
• Architect and operate Kubernetes clusters and container workloads, including autoscaling, capacity planning, network policies, and service-mesh integrations.
• Design CI/CD pipelines and improve reliability through automated testing, progressive delivery, chaos engineering, security hardening, failover design, and collaboration with application teams.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• Five or more 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 Linux experience at scale, including networking, performance tuning, and systems-level troubleshooting.
• Production experience operating Kubernetes and container-based workloads.
• Strong working knowledge of observability tools 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.
• Experience leading incident response and conducting effective post-incident reviews.
• Excellent communication and documentation skills.

Nice to have

• Experience defining and operationalizing SLOs and error budgets in production.
• Exposure to chaos engineering 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 Istio, Linkerd, or Consul service meshes.

Culture & Benefits

• 100% remote full-time direct W2 employment with hirify.global.
• In-house SOW engagement with no third-party client, vendor, or implementation partner.
• H1B transfer support is available for qualified candidates currently holding a valid H1B visa; no new H1B sponsorship is available.
• Commitment to diversity, inclusion, equal employment opportunity, and reasonable accommodations.
• Blameless culture focused on operational excellence and mentoring across the organization.

Hiring process

• A technical coding assessment is mandatory for every role.
• Candidates should submit a resume for consideration.