DevOps Engineer

Evlo AI; Dallas (TX); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

Evlo AI is seeking a seasoned DevOps/SRE engineer to own and scale our production infrastructure. You will manage Kubernetes clusters on AWS/GCP, build robust CI/CD pipelines, and drive observability, security, and cost optimization.

You will collaborate with backend teams to prevent incidents and improve MTTR, while practicing infrastructure as code and governance in a multi-cloud environment.

Qualifications

• 3–6 years in DevOps/SRE/platform engineering with Kubernetes production experience.
• Proficiency with Terraform and at least one major cloud provider.
• Strong scripting in Python, Go, or Bash and incident response experience.

Responsabilités

• Design, build, and maintain Kubernetes infrastructure on AWS or GCP using Terraform and Helm.
• Own CI/CD pipelines from commit to production with automated testing, canary deployments, and rollback automation.
• Build and tune observability systems - Prometheus, Grafana, and OpenTelemetry - with actionable SLOs and alerting that reduces noise while catching real incidents.
• Lead incident response and postmortems, driving root-cause analysis and permanent fixes.
• Optimize cloud costs and performance across compute, storage, and networking; audit and right-size resources continuously.
• Harden production environments: IAM policies, network segmentation, secrets management (Vault), and compliance-aligned security practices.
• Partner with application teams on service reliability - capacity planning, load testing, and eliminating single points of failure.

Connaissances

DevOps

SRE

Platform engineering

Kubernetes at scale

Python

Go

Bash

Terraform

AWS / GCP / Azure

Container networking

Istio / Linkerd

OpenTelemetry

Incident management

Formation

Bachelor's degree in CS

Outils

Terraform

Helm

Kubernetes

GitHub Actions

GitLab CI

ArgoCD

Flux

Prometheus

Grafana

Vault

CloudWatch

Description du poste

About The Role

The role owns the infrastructure that keeps production systems running at scale - Kubernetes clusters, CI/CD pipelines, cloud networking, and the observability stack that catches failures before users do.

The team treats infrastructure as a product: versioned, tested, and continuously shipped. This role sits at the intersection of platform engineering and production operations, working directly with backend teams to make deployments safer and systems more reliable.

Key Responsibilities

• Design, build, and maintain Kubernetes infrastructure on AWS or GCP using Terraform and Helm, treating all infrastructure as version-controlled code
• Own CI/CD pipelines (GitHub Actions, GitLab CI, or ArgoCD) from commit to production, including automated testing, canary deployments, and rollback automation
• Build and tune observability systems - Prometheus, Grafana, and OpenTelemetry - with actionable SLOs and alerting that reduces noise while catching real incidents
• Lead incident response and postmortems, driving root-cause analysis and permanent fixes rather than recurring band-aids
• Optimize cloud costs and performance across compute, storage, and networking; audit and right-size resources continuously
• Harden production environments: IAM policies, network segmentation, secrets management (Vault), and compliance-aligned security practices
• Partner with application teams on service reliability - capacity planning, load testing, and eliminating single points of failure

What We Are Looking For

• 3–6 years of experience in DevOps, SRE, or platform engineering, with at least 2 years running production Kubernetes at scale
• Deep proficiency with Terraform (or equivalent IaC) and one major cloud provider: AWS, GCP, or Azure
• Strong scripting and automation skills in Python, Go, or Bash
• Hands-on experience with container networking, service meshes (Istio, Linkerd), and distributed tracing
• Demonstrated incident management experience - leading on-call rotations, writing postmortems, and improving MTTR
• Bachelor's degree in Computer Science or equivalent practical experience
• Bonus: CKA/CKS certification, experience with GitOps (ArgoCD, Flux), multi-region failover design, or FinOps/cloud cost optimization