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DevOps Engineer

Job in Washington, District of Columbia, 20022, USA
Listing for: Evlo AI
Full Time position
Listed on 2026-08-29
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

About The Role

The role owns the reliability, scalability, and security of core cloud infrastructure supporting high-volume microservices and real-time data pipelines.

About

The Role

The role owns the reliability, scalability, and security of core cloud infrastructure supporting high-volume microservices and real-time data pipelines. The team works closely with backend and platform engineers to build robust CI/CD pipelines, automated monitoring systems, and resilient distributed environments.

Key Responsibilities
  • Design, provision, and manage production cloud infrastructure on AWS or GCP using Infrastructure as Code tools such as Terraform
  • Build and maintain automated CI/CD deployment pipelines using Git Hub Actions, Git Lab CI, or ArgoCD to streamline releases
  • Manage Kubernetes clusters in production, ensuring optimal resource utilization, auto-scaling, and high availability
  • Implement comprehensive observability stacks using Prometheus, Grafana, and Datadog for real-time monitoring and incident alerting
  • Conduct security audits, manage IAM policies, and enforce compliance standards across all infrastructure layers
  • Participate in an on-call rotation to troubleshoot and resolve infrastructure incidents, performing root cause analysis for system failures
What We Are Looking For
  • 3-6 years of experience in Dev Ops, Site Reliability Engineering, or a closely related infrastructure role
  • Strong proficiency in Infrastructure as Code (Terraform, Cloud Formation) and configuration management tools
  • Hands-on experience with containerization technologies and orchestration platforms, specifically Docker and Kubernetes
  • Solid scripting skills in Python, Bash, or Go for automation and tooling development
  • Deep understanding of networking fundamentals, TCP/IP, DNS, TLS, and VPC architecture in cloud environments
  • Bonus:
    Experience with service mesh technologies (Istio, Linkerd), eBPF observability tools, or Fin Ops cost optimization practices
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