DevOps Engineer

Evlo AI; Atlanta (GA); On-site; USD 120,000 - 170,000; Full time

Job summary

Evlo AI seeks an experienced Senior DevOps/SRE to own scalable infrastructure, including Kubernetes clusters, CI/CD pipelines, and observability stacks. You will collaborate with software teams to automate deployments, improve reliability, and reduce toil with IaC-driven practices.

The role emphasizes proactive incident response, security hardening, and capacity planning across cloud environments, with a focus on scalable, automated operations in production.

Qualifications

• 3-7 years of experience in DevOps, SRE, or infrastructure engineering, including running production systems at scale.
• Deep hands-on experience with Kubernetes administration and containerized application deployment in production.
• Strong infrastructure-as-code skills with Terraform; scripting proficiency in Python, Bash, or Go.
• Experience with at least one major cloud provider (AWS preferred: EKS, EC2, VPC, IAM, RDS).
• Solid grasp of networking fundamentals: DNS, load balancing, TLS, VPNs, and service mesh concepts (Istio or Linkerd).
• Track record of improving reliability measurably - SLOs, error budgets, reduced MTTR, or similar outcomes.
• Bonus: experience with multi-cluster or multi-region architectures, GitOps tooling (ArgoCD, Flux), chaos engineering, or platform engineering/IDP builds.

Responsibilities

• Design, build, and maintain Kubernetes-based infrastructure on AWS supporting production traffic at scale.
• Own and improve CI/CD pipelines in GitHub Actions or GitLab CI, cutting build times and enforcing safe, automated deployment practices.
• Build and maintain observability tooling: Prometheus, Grafana, OpenTelemetry, and alerting pipelines with actionable SLOs and error budgets.
• Automate infrastructure provisioning with Terraform modules, eliminating manual configuration and drift across environments.
• Lead incident response and blameless postmortems; drive root-cause fixes and resilience improvements rather than repeat patches.
• Harden security posture: secrets management (Vault), IAM least-privilege policies, network segmentation, and vulnerability remediation.
• Partner with backend engineers on capacity planning, load testing, and cost optimization across cloud spend.

Skills

Kubernetes administration

CI/CD engineering

Terraform

Python/Bash/Go scripting

AWS cloud (EKS, EC2, VPC, IAM, RDS)

Networking fundamentals (DNS, load bal

SLOs / error budgets

GitOps tooling (ArgoCD, Flux)

Tools

Helm

Prometheus

Grafana

OpenTelemetry

Vault

GitHub Actions

GitLab CI

Terraform modules

ArgoCD

Flux

Job description

About The Role

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

About The Role

The role owns the infrastructure that keeps production systems online at scale - Kubernetes clusters, CI/CD pipelines, cloud networking, and the observability stack that catches problems before customers do. You will work with software engineering teams to make deployments boring: fast, safe, and fully automated. The team values reliability engineering over firefighting, and infrastructure-as-code over snowflake servers.

Key Responsibilities

• Design, build, and maintain Kubernetes-based infrastructure on AWS (EKS, Terraform, Helm) supporting services that handle production traffic at scale
• Own and improve CI/CD pipelines in GitHub Actions or GitLab CI, cutting build times and enforcing safe, automated deployment practices
• Build and maintain observability tooling: Prometheus, Grafana, OpenTelemetry, and alerting pipelines with actionable SLOs and error budgets
• Automate infrastructure provisioning with Terraform modules, eliminating manual configuration and drift across environments
• Lead incident response and blameless postmortems; drive root-cause fixes and resilience improvements rather than repeat patches
• Harden security posture: secrets management (Vault), IAM least-privilege policies, network segmentation, and vulnerability remediation
• Partner with backend engineers on capacity planning, load testing, and cost optimization across cloud spend

What We Are Looking For

• 3-7 years of experience in DevOps, SRE, or infrastructure engineering, including running production systems at scale
• Deep hands-on experience with Kubernetes administration and containerized application deployment in production
• Strong infrastructure-as-code skills with Terraform; scripting proficiency in Python, Bash, or Go
• Experience with at least one major cloud provider (AWS preferred: EKS, EC2, VPC, IAM, RDS)
• Solid grasp of networking fundamentals: DNS, load balancing, TLS, VPNs, and service mesh concepts (Istio or Linkerd)
• Track record of improving reliability measurably - SLOs, error budgets, reduced MTTR, or similar outcomes
• Bonus: experience with multi-cluster or multi-region architectures, GitOps tooling (ArgoCD, Flux), chaos engineering, or platform engineering/IDP builds