DevOps Engineer

Evlo AI; San Diego (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Evlo AI seeks a DevOps/SRE engineer to own scalable infrastructure. You will design cloud architectures, deploy Kubernetes clusters, and optimize CI/CD pipelines for safe releases. You will implement robust observability and lead blameless postmortems to eliminate recurring failures.

Candidate should have 3–7 years of production-grade experience, strong IaC skills with Terraform or Pulumi, and experience across AWS, GCP, or Azure with security and cost considerations.

Qualifications

• 3–7 years of DevOps, SRE, or infra engineering with production traffic
• Hands-on Kubernetes and Docker in production
• IaC with Terraform or Pulumi and CI/CD design
• Cloud provider experience (AWS, GCP, or Azure) and cost optimization

Responsibilities

• Design, build, and maintain cloud infrastructure on AWS or GCP using Terraform
• Operate and scale Kubernetes clusters in production
• Build and improve CI/CD pipelines with automated rollback capabilities
• Implement observability across the stack using Prometheus, Grafana, and OpenTelemetry
• Lead incident response and blameless postmortems; drive elimination of recurring failure modes
• Harden infrastructure security: IAM policies, secrets management (Vault), network segmentation, SOC 2 compliance
• Partner with application engineers on containerization, service mesh, and performance tuning

Skills

Kubernetes

Docker

Infrastructure as Code

CI/CD design

Networking fundamentals

Cloud provider experience

Education

BS in Computer Science, Engineering, or equivalent

Tools

Terraform

Pulumi

GitHub Actions

GitLab CI

ArgoCD

Prometheus

Grafana

OpenTelemetry

Vault

Job description

About The Role

About The Role The role owns the infrastructure that keeps production systems running at scale - CI/CD pipelines, Kubernetes clusters, observability stacks, and the cloud architecture underneath it all.

You will work closely with software engineering teams to make deployments fast, releases safe, and incidents rare - and when something breaks at 2 AM, you will be part of a team that finds root causes instead of band‑aids.

Key Responsibilities

• Design, build, and maintain cloud infrastructure on AWS or GCP using Terraform, treating everything as versioned, reviewable code
• Operate and scale Kubernetes clusters in production, including node optimization, autoscaling policies, and multi-environment cluster management
• Build and improve CI/CD pipelines (GitHub Actions, GitLab CI, or ArgoCD) to enable fast, safe deployments with automated rollback capabilities
• Implement observability across the stack using Prometheus, Grafana, and OpenTelemetry - dashboards, SLOs, and actionable alerting that pages on real problems, not noise
• Lead incident response and blameless postmortems; drive elimination of recurring failure modes through automation and architectural fixes
• Harden infrastructure security: IAM policies, secrets management (Vault), network segmentation, and compliance with SOC 2 requirements
• Partner with application engineers on containerization, service mesh configuration, and performance tuning of latency-sensitive services

What We Are Looking For

• 3–7 years of experience in DevOps, SRE, or infrastructure engineering, with at least one environment serving significant production traffic
• Deep hands‑on expertise with Kubernetes and Docker in production - debugging crashed pods is second nature
• Strong infrastructure‑as‑code experience with Terraform (or Pulumi) and CI/CD pipeline design
• Solid grasp of networking fundamentals: DNS, TLS, load balancing, VPC design, and service-to-service communication
• Experience with at least one major cloud provider (AWS, GCP, or Azure) and cost‑optimization practices
• BS in Computer Science, Engineering, or equivalent practical experience