What are the responsibilities and job description for the DevOps Engineer position at Evlo AI?
About The Role
The DevOps Engineer owns the infrastructure that keeps production running - CI/CD pipelines, Kubernetes clusters, cloud architecture, and the observability stack that tells the team when something is wrong before customers notice.
The role sits at the intersection of platform engineering and reliability: automating deployments, hardening infrastructure, and driving down incident response times across a system handling thousands of requests per second.
Key Responsibilities
The DevOps Engineer owns the infrastructure that keeps production running - CI/CD pipelines, Kubernetes clusters, cloud architecture, and the observability stack that tells the team when something is wrong before customers notice.
The role sits at the intersection of platform engineering and reliability: automating deployments, hardening infrastructure, and driving down incident response times across a system handling thousands of requests per second.
Key Responsibilities
- Build and maintain CI/CD pipelines using GitHub Actions and ArgoCD, enabling safe, frequent deployments with automated rollback
- Manage and scale Kubernetes clusters (EKS/GKE) running microservices, including capacity planning, node optimization, and cluster upgrades
- Write Infrastructure as Code with Terraform and Terragrunt, enforcing review workflows for all production changes
- Design and maintain observability tooling - Prometheus, Grafana, and OpenTelemetry-based tracing - with actionable alerting tied to SLOs
- Lead incident response and postmortems, driving root-cause fixes rather than patching symptoms
- Optimize cloud infrastructure costs across AWS, identifying waste and right-sizing workloads without sacrificing reliability
- Harden security posture: secrets management with Vault, least-privilege IAM policies, and automated vulnerability scanning in the pipeline
- 3β6 years of experience in DevOps, SRE, or infrastructure engineering, with production ownership of Kubernetes at scale
- Deep hands-on expertise with AWS (EKS, EC2, RDS, IAM, VPC networking) - certifications are a plus but real experience is required
- Strong Terraform skills; experience managing multi-environment infrastructure with reusable modules
- Proficiency in at least one of: Python, Go, or Bash for tooling and automation
- Practical experience with incident management, on-call rotations, and building reliability metrics (SLOs, error budgets)
- Bachelor's degree in Computer Science or equivalent practical experience
- Bonus: experience with service mesh (Istio/Linkerd), GitOps tooling (Flux/ArgoCD), or on-prem/hybrid infrastructure