Description:
The Engineering Systems Tools team at eBay builds and operates the internal tooling and infrastructure that supports thousands of developers across the company. Our mission is to enhance developer efficiency through automation, self-service platforms, and seamless provisioning.
We support and extend core platforms including JIRA, Confluence, GitHub Enterprise, Artifactory, SonarQube, Gradle, and Airtable, while building and maintaining custom applications tailored to internal engineering workflows.
On the infrastructure side, we operate across multi-cloud environments (GCP, AWS, Azure), and are actively investing in container orchestration (Kubernetes), infrastructure-as-code, and service automation to modernize our stack. We own the full lifecycle of our tools—from development and deployment to monitoring and operations—and collaborate closely with teams across the company to deliver resilient, scalable solutions.
Responsibilities/What You’ll Do
- Administer and operate SCM and build tooling platforms, with primary focus on Artifactory, GitHub Enterprise, SonarQube, and Gradle.
- Act as a primary support contact for internal engineering teams, troubleshooting issues related to source control, builds, artifacts, and code quality.
- Manage user access, permissions, repositories, organizations, and integrations across SCM and CI/CD tooling.
- Support and optimize Gradle-based build systems, dependency management, and artifact publishing workflows.
- Operate and maintain Artifactory repositories, including retention policies, replication, performance tuning, and storage optimization.
- Design, build, and maintain full-stack internal tooling and platforms that improve engineering productivity and automation.
- Develop and support RESTful APIs, microservices, and front-end interfaces that integrate with both third-party and custom-built tools.
- Operate and scale cloud-based infrastructure across GCP, AWS, and Azure; contribute to infrastructure provisioning, configuration management, and monitoring.
- Implement and support Kubernetes-based containerization workflows, including service deployment and resource optimization.
- Automate infrastructure and operations using tools like Terraform, Helm, and CI/CD pipelines.
- Own the full lifecycle of systems—from requirements gathering to deployment and post-release support.
- Troubleshoot performance and reliability issues across the stack and work on platform hardening.
- Collaborate with product owners, site reliability engineers, and developers to continuously improve platform usability and reliability.
- Contribute to architectural decisions, technical design reviews, and code reviews; mentor junior team members where applicable.
Requirements/Preferred Qualifications
- 5+ years of experience in software engineering and platform operations in a large-scale or enterprise environment.
- 5+ years of experience supporting or administering SCM, CI/CD, or developer productivity platforms in an enterprise environment.
- Strong hands-on experience with GitHub Enterprise administration and Git-based workflows.
- Proven experience administering Artifactory (repository management, access control, integrations, and troubleshooting).
- Experience with SonarQube administration, code quality metrics, and CI integrations.
- Solid understanding of Gradle builds, dependency management, and enterprise build optimization.
- Experience providing customer-facing technical support to internal engineering teams.
- Strong programming skills in Java (preferred), with experience in Spring Boot or similar frameworks. Bonus for front-end experience (React, Angular, or similar).
- Experience designing, deploying, and managing applications in Kubernetes and Dockerized environments.
- Solid background in multi-cloud architecture and automation across GCP, AWS, or Azure.
- Familiarity with internal developer platforms and tools like JIRA, GitHub, Artifactory, SonarQube, and related systems.
- Comfortable with monitoring/logging stacks (e.g., Prometheus, Grafana, ELK, or similar).
- Experience with infrastructure-as-code using tools like Terraform, Ansible, or similar.
- Strong debugging and problem-solving skills across distributed systems, APIs, and infrastructure layers.
- Ability to translate platform needs into maintainable, performant code and configuration.