Staff Engineer (DevOps)

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce!

Who Are We?

The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow

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

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.

• 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.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our Accessibility Statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

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