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.

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