DevX Infrastructure Engineer

Position Summary:

The DevX Infrastructure team builds and operates the platform that powers engineering productivity. This includes large-scale CI/CD systems, build infrastructure, developer

tooling, and observability platforms that support thousands of builds and deployments every day.

Must-have skills:

1. Strong ability to code and debug existing code (Python)
2. Extensive experience with Jenkins, including server and agent management
3. Experience with monitoring tools such as Prometheus, Grafana, and ELK
4. Strong experience with at least one cloud provider (AWS, Azure, or GCP) (Certification is a Plus)
5. Kubernetes experience (experience with onprem Kubernetes clusters is a plus)

Responsibilities:

Operate and improve large-scale CI/CD and build infrastructure used by engineering teams.

Design and implement automation to improve reliability, scalability, and developer productivity.

Debug complex infrastructure issues across distributed systems, containers, and cloud environments.

Build observability and monitoring solutions to improve system reliability and operational visibility.

Collaborate with development teams to improve build pipelines, release processes, and developer workflows.

Drive reliability improvements by identifying system bottlenecks and eliminating operational toil.

Requirements:

5+ years of experience in DevOps, Infrastructure Engineering, SRE, or Developer Productivity platforms.

Strong Python programming skills with experience building automation and debugging complex systems.

Hands-on experience with Linux systems, Bash scripting, and infrastructure troubleshooting.

Experience operating infrastructure across on-premises and cloud environments (AWS/Azure/GCP).

Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Experience with CI/CD systems such as Jenkins or similar build and release platforms.

Familiarity with infrastructure automation tools such as Terraform, Ansible, or similar frameworks.

Experience with observability and monitoring tools such as Prometheus, Grafana, or ELK stack.

Familiarity with tools like Artifactory, Bazel Buildfarm, VMware ESXi, or vCenter is a plus.

Strong problem-solving skills, ability to work collaboratively with development teams, and a passion for improving systems through automation.

Qualification:

Bachelor's degree in engineering or a related field

5+ years of total experience in productivity engineering or a related field

Strong analytical and problem-solving skills

Excellent communication and interpersonal skills

Job Keywords:

Python

AWS / Azure / Google Cloud

Kubernetes

Docker

ELK / Prometheus / Grafana

Git / BitBucket

Jenkins

Ansible / Terraform