Live opening · Posted 1 day ago

DevOps Engineer

Evlo AI · Washington, DC (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyEvlo AI
LocationWashington, DC (Remote)
Work modeYes
SkillsPython, AWS, Kubernetes, Terraform
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

About The Role
The role owns the infrastructure that keeps production systems running: Kubernetes clusters, CI/CD pipelines, cloud environments, and the observability stack that detects problems before customers do.
You will work closely with software engineers and platform architects to make deployments safer, systems more resilient, and infrastructure costs more predictable — this is a hands-on role where your changes ship to production every week.
Key Responsibilities
Design, build, and maintain Kubernetes-based infrastructure across AWS (EKS, RDS, ElastiCache, VPC networking) supporting production workloads at scale
Develop and harden CI/CD pipelines in GitHub Actions and ArgoCD, enabling safe, frequent deploys with automated canary analysis and rollback
Manage Infrastructure as Code using Terraform and Helm, enforcing review workflows and drift detection across environments
Build and operate observability tooling — Prometheus, Grafana, Datadog — with actionable SLOs, alerting thresholds, and on-call runbooks
Lead incident response and blameless postmortems for production incidents; drive remediation work to reduce recurring failures and MTTR
Optimize cloud spend by rightsizing workloads, implementing autoscaling policies, and eliminating orphaned resources
Improve security posture through secrets management (Vault), IAM least-privilege policies, and automated vulnerability patching
What We Are Looking For
3–7 years of experience in DevOps, SRE, or infrastructure engineering, with at least 2 years operating production Kubernetes environments
Deep hands-on expertise with AWS core services (EC2, EKS, RDS, IAM, VPC) and Terraform in production
Strong scripting and automation skills in Python or Bash; comfort building internal tooling, not just consuming it
Experience with GitOps workflows (ArgoCD, Flux) and modern CI/CD pipeline design
Solid grasp of Linux internals, networking (DNS, TLS, load balancing), and container runtime fundamentals
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Bonus: Experience with service mesh (Istio/Linkerd), chaos engineering practices, multi-region failover design, or FinOps tooling

Work arrangement
Yes

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