DevOps Engineer

Evlo AI; Miami (FL); Presencial; USD 120 000 - 160 000; Tempo integral

Resumo da oferta

Evlo AI is seeking a seasoned DevOps/SRE engineer to own and scale production infrastructure across a multi-service, high-traffic environment.

You will automate deployments, incident response, and infrastructure provisioning, collaborating with backend and platform teams to ensure reliable, scalable systems across AWS/GCP.

Qualificações

• 3+ years of experience in DevOps, SRE, or infrastructure engineering with production ownership

Responsabilidades

• Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, or CircleCI) enabling safe, frequent deployments across dozens of microservices
• Operate and scale Kubernetes clusters on AWS or GCP, including cluster upgrades, autoscaling policies, and workload optimization
• Define infrastructure as code using Terraform and Terragrunt, with peer-reviewed modules and automated plan/apply workflows
• Design and maintain observability tooling - Prometheus, Grafana, and distributed tracing - with actionable SLOs and alerting that minimizes noise
• Lead incident response and blameless postmortems; drive reduction of MTTR through runbooks, automation, and chaos testing
• Harden production environments: IAM policies, network segmentation, secrets management, and security patching pipelines
• Partner with development teams to improve service reliability, defining error budgets and capacity plans as the platform scales

Conhecimentos

Kubernetes

CI/CD

Observability

Python

Go

Bash

Formação académica

Bachelor's degree in Computer Science or equivalent

Ferramentas

AWS

GCP

Azure

GitHub Actions

GitLab CI

CircleCI

Descrição da oferta de emprego

About The Role

The role owns the infrastructure that keeps production systems online - CI/CD pipelines, Kubernetes clusters, cloud networking, and the observability stack that detects problems before customers do.

The engineer will work closely with backend and platform teams to automate everything: deployments, scaling, incident response, and infrastructure provisioning across a multi-service, high-traffic environment.

Key Responsibilities

• Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, or CircleCI) enabling safe, frequent deployments across dozens of microservices
• Operate and scale Kubernetes clusters on AWS or GCP, including cluster upgrades, autoscaling policies, and workload optimization
• Define infrastructure as code using Terraform and Terragrunt, with peer-reviewed modules and automated plan/apply workflows
• Design and maintain observability tooling - Prometheus, Grafana, and distributed tracing - with actionable SLOs and alerting that minimizes noise
• Lead incident response and blameless postmortems; drive reduction of MTTR through runbooks, automation, and chaos testing
• Harden production environments: IAM policies, network segmentation, secrets management, and security patching pipelines
• Partner with development teams to improve service reliability, defining error budgets and capacity plans as the platform scales

What We Are Looking For

• 3+ years of experience in DevOps, SRE, or infrastructure engineering, with production ownership of systems serving significant traffic
• Deep hands-on experience with Kubernetes: deployment, networking, Helm, and troubleshooting in production environments
• Strong Terraform/IaC skills and proficiency with at least one major cloud provider (AWS, GCP, or Azure)
• Solid scripting and automation skills in Python, Bash, or Go
• Experience building observability from the ground up: metrics, logs, traces, and alert design (Prometheus, Datadog, or similar)
• Bachelor's degree in Computer Science or equivalent practical experience
• Bonus: Experience with service mesh (Istio/Linkerd), GitOps tooling (ArgoCD/Flux), multi-region failover design, or compliance environments (SOC 2, PCI)