DevOps Engineer

Evlo AI; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Evlo AI seeks a DevOps Engineer to design, build, and operate scalable infrastructure and deployment pipelines. You will work on AWS, Kubernetes, IaC, CI/CD, and observability to keep production services reliable.

You will collaborate with software engineers and SREs to boost release velocity, automate repetitive work, and improve resilience via robust tooling and incident response practices.

Qualifications

• 3–8 years of experience in DevOps, SRE, or infrastructure roles.
• Hands-on with AWS services (EC2, EKS, VPC, IAM, S3, RDS, CloudWatch, Route 53).
• Strong Terraform and Git-based delivery workflows.
• Production Kubernetes experience with deployments, ingress, autoscaling, and troubleshooting.

Responsibilities

• Design and manage highly available AWS infrastructure using Terraform.
• Build and maintain CI/CD pipelines with GitHub Actions, Jenkins, or GitLab CI.
• Operate Kubernetes environments using Helm; improve cluster capacity and reliability.
• Implement observability with Prometheus, Grafana, and centralized logging like ELK/OpenSearch.
• Automate provisioning and scripting with Python, Bash, or Go.
• Participate in on-call rotations and document root-cause analyses with remediation plans.
• Harden production environments with least-privilege IAM, secrets management, and DR testing.

Skills

AWS services

Terraform

Kubernetes

CI/CD pipelines

Linux systems

Networking fundamentals

Python/Bash scripting

Observability/incident response

Tools

Prometheus

Grafana

OpenSearch/ELK

Helm

Go

Argo CD

Ansible

Job description

About The Role

The DevOps Engineer will build and operate the infrastructure, deployment systems, and observability platform that keep production services reliable at scale. The role spans AWS infrastructure, Kubernetes orchestration, infrastructure as code, CI/CD automation, and operational tooling for distributed applications.

The engineer will partner with software engineers and SREs to improve release velocity without compromising availability or security. The team needs someone who can automate repeatable work, troubleshoot complex production incidents, and turn operational lessons into more resilient platforms and processes.

Key Responsibilities

• Design and manage highly available AWS infrastructure using Terraform, including networking, IAM, compute, storage, and managed database services
• Build and maintain CI/CD pipelines with GitHub Actions, Jenkins, or GitLab CI to automate testing, security checks, deployments, and rollback workflows
• Operate Kubernetes environments using Helm and related tooling; improve cluster capacity, workload scheduling, service reliability, and deployment standards
• Implement observability with Prometheus, Grafana, and centralized logging platforms such as ELK or OpenSearch; define actionable metrics, dashboards, and alerts
• Automate infrastructure provisioning, configuration management, and routine operational tasks using Python, Bash, or Go
• Participate in on-call rotations, lead incident response, and document root-cause analyses with specific remediation plans
• Harden production environments through least-privilege IAM, secrets management, vulnerability remediation, backup validation, and disaster-recovery testing

What We Are Looking For

• 3–8 years of experience in DevOps, SRE, platform engineering, or a closely related infrastructure role supporting production systems
• Hands-on experience with AWS services such as EC2, EKS, VPC, IAM, S3, RDS, CloudWatch, and Route 53
• Strong proficiency with Terraform and Git-based infrastructure and application delivery workflows
• Production experience operating Kubernetes, including deployments, services, ingress, autoscaling, resource management, and troubleshooting
• Working knowledge of Linux systems, networking fundamentals, containers, and scripting with Python or Bash
• Experience building observability and incident-response practices around metrics, logs, traces, alerting, SLIs, and SLOs
• Bonus: experience with Go, Argo CD, Ansible, service meshes, FinOps, compliance automation, or formal education in computer science, engineering, or a related technical field