DevOps Engineer

Evlo AI; New York (NY); On-site; USD 130,000 - 210,000; Full time

Job summary

Evlo AI is seeking an experienced DevOps/SRE engineer to own production reliability and scale. You will manage CI/CD pipelines, Kubernetes clusters (EKS/GKE), and cloud architecture across AWS or GCP for high-traffic workloads.

You will partner with software teams to accelerate deployments, define SLOs, tune alerts, and lead blameless postmortems. Strong IaC, Terraform, Helm, and modern CI/CD tooling are essential, with a focus on security and cost discipline.

Qualifications

• 3–7 years in DevOps/SRE or infra engineering with 2+ years running production Kubernetes.
• Deep hands-on with a major cloud provider (AWS, GCP, or Azure).
• Proficient in Terraform, Helm, and modern CI/CD tooling.
• Scripting skills in Python, Bash, or Go.
• Observability experience: Prometheus, Grafana, Datadog or OpenTelemetry.
• Bachelor's degree in CS/Engineering or equivalent.
• Bonus: GitOps, multi-region, chaos engineering, or cloud certs.

Responsibilities

• Design, build, and maintain CI/CD pipelines using GitHub Actions or GitLab CI, with automated testing, canary deployments, and rollback strategies
• Manage and scale Kubernetes clusters (EKS/GKE) across environments, including upgrades, autoscaling, and optimization
• IaC with Terraform and Helm, enforce reviews and drift detection across AWS or GCP
• Own observability tooling - Prometheus, Grafana, Datadog, or similar - including SLO definitions, alert tuning, and dashboards
• Lead incident response for production outages with blameless postmortems and concrete follow-up actions
• Harden infrastructure security and cost posture: IAM policies, network segmentation, secrets management, and monthly cloud spend optimization reviews
• Partner with application teams on containerization, service reliability, and capacity planning as the platform scales

Skills

CI/CD pipelines

Kubernetes

Terraform

Helm

Cloud platforms (AWS/GCP/Azure)

Observability tooling

Scripting (Python/Bash/Go)

Infrastructure as Code

Education

Bachelor's degree in Computer Science, Engineering, or equivalent

Tools

GitHub Actions

GitLab CI

ArgoCD

Jenkins

Terraform

Helm

Job description

About The Role

The role owns the infrastructure that keeps production systems running - CI/CD pipelines, Kubernetes clusters, cloud architecture, and the observability stack that surfaces problems before customers notice them.

You will work closely with software engineers and product teams to make deployments faster, systems more resilient, and incidents rarer, owning reliability for services handling high-traffic, production-scale workloads.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines using GitHub Actions or GitLab CI, with automated testing, canary deployments, and rollback strategies
• Manage and scale Kubernetes clusters (EKS/GKE) across multiple environments, including cluster upgrades, autoscaling policies, and resource optimization
• Build and maintain infrastructure-as-code using Terraform and Helm, enforcing review workflows and drift detection across AWS or GCP environments
• Own observability tooling - Prometheus, Grafana, Datadog, or similar - including SLO definitions, alert tuning, and actionable dashboards for engineering teams
• Lead incident response for production outages: triage, mitigation, root cause analysis, and blameless postmortems with concrete follow-up actions
• Harden infrastructure security and cost posture: IAM policies, network segmentation, secrets management, and monthly cloud spend optimization reviews
• Partner with application teams on containerization, service reliability, and capacity planning as the platform scales

What We Are Looking For

• 3-7 years of experience in DevOps, SRE, or infrastructure engineering, with at least 2 years running production Kubernetes workloads
• Deep hands-on experience with a major cloud provider (AWS, GCP, or Azure), including networking, IAM, and compute services
• Strong proficiency with Terraform, Helm, and modern CI/CD tooling (GitHub Actions, GitLab CI, ArgoCD, or Jenkins)
• Solid scripting and automation skills in Python, Bash, or Go
• Production experience with observability stacks: Prometheus/Grafana, Datadog, or OpenTelemetry-based instrumentation
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Bonus: Experience with service meshes (Istio/Linkerd), GitOps workflows, multi-region architectures, chaos engineering, or AWS/GCP certifications