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Site Reliability Engineer

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Evlo AI
Full Time position
Listed on 2026-07-28
Job specializations:
  • IT/Tech
    Systems Engineer, SRE/Site Reliability, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

About The Role

The role focuses on scaling and maintaining the core cloud infrastructure that powers global production services. This position sits at the intersection of software engineering and systems engineering, ensuring that distributed systems are resilient, performant, and highly observable.

The team is responsible for architecting multi-region Kubernetes clusters, defining Infrastructure as Code standards, and building automated CI/CD deployment pipelines. The mission is to eliminate manual intervention through automation, mitigate production incidents, and maintain strict SLAs for millions of concurrent users.

Key Responsibilities
  • Design, provision, and manage multi-region cloud infrastructure using Terraform, Helm, and AWS/GCP cloud services
  • Own the availability, latency, performance, efficiency, and capacity management of Kubernetes cluster environments
  • Implement comprehensive observability stacks using Prometheus, Grafana, Open Telemetry, and Datadog to proactively detect and diagnose system degradation
  • Develop internal tooling and automation in Go or Python to simplify deployment workflows and reduce operational toil
  • Participate in a blameless post-mortem culture and share in an on-call rotation to quickly resolve production incidents
  • Collaborate with product engineering teams to optimize application performance, containerize services, and architect fault-tolerant distributed systems
What We Are Looking For
  • 3–7 years of experience in SRE, Dev Ops, or systems engineering roles managing high-traffic production environments
  • Strong hands‑on experience with container orchestration using Kubernetes (EKS, GKE, or self-managed)
  • Deep proficiency in writing Infrastructure as Code using Terraform or Pulumi
  • Solid software engineering foundation with strong coding skills in Python, Go, or Bash for automation
  • Strong understanding of networking concepts (DNS, TCP/IP, VPC peering, load balancing) and Linux systems administration
  • Bonus:

    Experience with service meshes (Istio, Linkerd), Git Ops workflows (ArgoCD, Flux), or managing relational and No

    SQL databases at scale
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