DevOps Engineer

Evlo AI; Boston (MA); In loco; USD 140.000 - 180.000; Tempo pieno

Descrizione del lavoro

Evlo AI is seeking a hands-on DevOps/SRE engineer to own production infrastructure, including Kubernetes clusters, CI/CD pipelines, observability stacks, and cloud environments serving high-traffic systems around the clock.

You will partner with application teams to make deployments boring, respond to incidents quickly, and optimize costs with security and reliability baked in. This on-site role requires deep IaC skills and comfort working in fast-paced environments.

Competenze

• 3–6 years of experience in DevOps, SRE, or infrastructure engineering with on-call ownership.
• Hands-on cloud experience (AWS, GCP, or Azure) including networking and IAM.
• Production Kubernetes experience with containerized workloads at scale.
• Proficient with Terraform and IaC; version-controlled workflows.
• Programming/scripting in Python, Go, or Bash.
• Bachelor’s degree in CS, Engineering, or equivalent practical experience.

Mansioni

• Design, build, and maintain scalable infrastructure on AWS or GCP using Terraform.
• Own and improve CI/CD pipelines (GitHub Actions, GitLab CI, or ArgoCD) for safe, frequent deploys with automated rollback paths.
• Build and operate observability stacks with Prometheus and Grafana to reduce MTTR.
• Lead and participate in incident response: run postmortems and drive systemic fixes.
• Harden production systems: implement security best practices, least-privilege access, Vault, and audit trails.
• Containerize and orchestrate services with Docker and Kubernetes, including Helm chart management.
• Partner with development teams to improve service reliability by defining SLOs and building runbooks.

Conoscenze

On-call ownership

Incident response

SRE practices

Python

Go

Bash scripting

Formazione

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

Strumenti

Terraform

Kubernetes

Docker

AWS

GCP

GitHub Actions

GitLab CI

ArgoCD

Prometheus

Grafana

OpenTelemetry

Vault

Helm

Descrizione del lavoro

About The Role

The role owns the infrastructure that keeps production running — Kubernetes clusters, CI/CD pipelines, observability stacks, and cloud environments serving high-traffic systems around the clock.

About The Role

The role owns the infrastructure that keeps production running — Kubernetes clusters, CI/CD pipelines, observability stacks, and cloud environments serving high-traffic systems around the clock.

The team works closely with application engineers to make deployments boring, incident response fast, and infrastructure costs predictable. This is a hands‑on role: expect to spend the majority of your time in terminals, Terraform repos, and incident channels, not in slide decks.

Key Responsibilities

• Design, build, and maintain scalable infrastructure on AWS or GCP using Terraform — VPCs, EKS/GKE clusters, IAM, networking, and autoscaling policies
• Own and improve CI/CD pipelines (GitHub Actions, GitLab CI, or ArgoCD) to enable safe, frequent deploys with automated rollback paths
• Build and operate observability stacks — Prometheus, Grafana, OpenTelemetry, and structured alerting — to reduce mean time to detection and resolution
• Lead and participate in incident response: run postmortems, identify root causes, and drive systemic fixes rather than patches
• Harden production systems: implement security best practices, least‑privilege access, secrets management (Vault), and compliance‑ready audit trails
• Containerize and orchestrate services with Docker and Kubernetes, including Helm chart management and workload right‑sizing
• Partner with development teams to improve service reliability — defining SLOs, building runbooks, and eliminating operational toil through automation

What We Are Looking For

• 3–6 years of experience in DevOps, SRE, or infrastructure engineering, including on-call ownership for production systems
• Deep hands‑on experience with at least one major cloud (AWS, GCP, or Azure), including networking and IAM
• Production experience with Kubernetes and containerized workloads at meaningful scale
• Strong infrastructure‑as‑code skills with Terraform (or equivalent) and version‑controlled operational practices
• Proficiency in at least one scripting or systems language: Python, Go, or Bash
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience