We are looking for exceptional DevOps Engineers, who take pride in creating simple solutions to apparently-complex problems. Our DevOps Engineering tasks typically involve at least one of the following:

• Working closely with development team, assist and support them with smooth CI/CD processes

• Offering various solution and infrastructures in K8s cloud for their daily work and roadmaps

• Working vertically to improve dev-velocity in the organization by offering various tools and methods

• Leading on observability across your team and wider eBay. This involves supporting our applications in production, setting up and maintaining logging, monitoring, and alerting, as well as guiding the team to internalise takeaways from production incidents.

• Mentoring teammates, fostering their growth through collaboration, frequent brown bag sessions, and direct support such as pair programming, both in the office and remotely.

• Improving the team’s DevOps standard processes by enhancing the quality and speed of build and deployment pipelines, proposing new tools, and refining processes.

If you love a good challenge, and have developed skills in handling complexity - we’d love to hear from you!

eBay is an amazing company to work for. Being on the team, you can expect to benefit from:

• A competitive salary - including stock grants and a yearly bonus

• A healthy work culture that promotes business impact and at the same time highly values your personal well-being

• Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent

Requirements

To be considered for this role, you must have significant commercial experience and a passion working with:

• Demonstrated impact improving delivery performance at scale (DORA metrics: lead time for change, deployment frequency, change failure rate, MTTR).

• Proficiency with containers and orchestration (e.g., Docker, Kubernetes) in cloud‑native or private‑cloud environments.

• Hands‑on with IaC, Git‑based CI systems, and secrets management.

• Observability experience with OTel and metrics/logs/tracing stacks (or equivalents); able to define SLOs and tune alerts for signal over noise.

• Strong Linux fundamentals, networking basics for distributed systems, scripting (Bash), and proficiency in Python.

Proficiencies in the following would be an advantage:

• Experience with event streaming/workflow technologies (e.g., Kafka, Airflow, or similar).

• Experience with CI systems (e.g., Jenkins, GitHub Actions, GitLab CI, or Tekton) for pipeline design, administration, and runner/agent management.

• Progressive delivery tooling (e.g., Argo Rollouts/Flagger or similar) and service mesh fundamentals.

• Familiarity with large‑scale data or ML platforms and the reliability needs of feature pipelines.