Live opening · Posted 3 days ago

DevOps Engineer

Evlo AI · San Diego, CA (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyEvlo AI
LocationSan Diego, CA (Remote)
Work modeYes
SourceLinkedin
Listed3 days ago

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About the role

Description supplied by the original job listing.

About The Role
The DevOps Engineer builds and operates the infrastructure that runs production services at scale, with ownership spanning cloud platforms, deployment pipelines, observability, and incident response. The role focuses on creating reliable, repeatable systems across AWS, Kubernetes, and infrastructure-as-code environments.
You will partner with software engineers and SREs to improve release velocity without compromising availability or security. The team needs an engineer who can automate operational work, diagnose distributed-system failures, and turn production lessons into durable platform improvements.
Key Responsibilities
Design and maintain highly available AWS infrastructure using Terraform, including networking, compute, IAM, databases, and monitoring resources
Build and improve CI/CD pipelines with GitHub Actions, GitLab CI, or Jenkins to support automated testing, deployment, rollback, and artifact management
Operate Kubernetes-based services, including cluster configuration, Helm releases, ingress, autoscaling, secrets management, and workload troubleshooting
Implement observability across production systems using Prometheus, Grafana, CloudWatch, OpenTelemetry, or comparable tooling
Automate operational workflows with Python, Go, or Bash, reducing manual intervention and improving repeatability across development and production environments
Participate in on-call rotations, lead incident investigation and remediation, and document runbooks, postmortems, and reliability improvements
What We Are Looking For
3–8 years of experience in DevOps, SRE, platform engineering, or a closely related infrastructure role
Hands-on experience operating production workloads in AWS, including core services such as EC2, EKS, VPC, IAM, S3, RDS, and CloudWatch
Strong Kubernetes and Docker experience, including deployment configuration, service discovery, resource management, and troubleshooting
Proficiency with Terraform or a comparable infrastructure-as-code tool and practical experience managing infrastructure through code review and automated workflows
Solid understanding of Linux systems, networking, security fundamentals, Git, and CI/CD pipeline design
Bachelor’s degree in computer science, engineering, information systems, or equivalent practical experience; Bonus: experience with Go, Python automation, service meshes, Argo CD, incident management, and compliance-focused infrastructure

Work arrangement
Yes

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