Platform Engineer, Cloud Dev/Ops - Depop

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.

About the team and the role:
Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Depop's mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.

Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it. From everyday essentials to vintage and designer finds, Depop brings together a wide range of affordable styles in one place. It’s a marketplace where anyone can clear out their wardrobe or build a business, explore their style, and take part in a more circular way to shop.

Powered by a team of over 500 people, our company is headquartered in London, with offices in New York.

We are looking for a Senior Platform Engineer to join our Toronto engineering team and help build the cloud-native foundation that powers scalable, reliable, and secure software delivery at eBay. This team plays a critical role in enabling product and engineering teams to move faster by providing robust platform capabilities across cloud infrastructure, Kubernetes, developer tooling, automation, and observability.

In this role, you will design, build, and operate modern infrastructure on AWS, with a strong focus on Amazon EKS, Terraform, CI/CD, Linux, networking, and site reliability engineering principles. You will partner closely with software engineers and cross-functional stakeholders to improve developer productivity, strengthen platform resilience, and support the adoption of best practices for operating distributed systems at scale. This is a high-impact individual contributor opportunity for someone who enjoys solving complex infrastructure challenges, improving engineering efficiency, and helping shape the future of cloud platform capabilities within a collaborative team environment.

What you will accomplish:

• Design, build, and operate scalable cloud infrastructure and platform services on AWS that improve reliability, security, and performance for engineering teams.
• Enhance the Kubernetes-based platform, including Amazon EKS environments, to support resilient cloud-native application deployment and day-to-day operational excellence.
• Improve developer productivity by automating infrastructure provisioning, deployment workflows, and operational processes using Infrastructure as Code and CI/CD best practices.
• Partner with software engineering teams to define platform standards, solve production challenges, and enable faster, more consistent delivery of services.
• Strengthen system observability and incident readiness by implementing and improving monitoring, alerting, and operational insights using tools such as Prometheus, Grafana, and CloudWatch.
• Apply SRE principles to increase platform reliability, reduce manual toil, and create opportunities for continuous improvement, learning, and technical leadership across the team.

What you will bring:

• Strong experience building and operating production infrastructure on AWS, including core services and cloud architecture patterns for scalable distributed systems.
• Hands-on expertise with Kubernetes, ideally Amazon EKS, along with experience supporting containerized workloads in production environments.
• Proficiency with Terraform and Infrastructure as Code practices, plus experience building and maintaining CI/CD pipelines and automation workflows.
• Solid foundation in Linux systems, networking, and reliability engineering concepts, with the ability to troubleshoot across infrastructure and application layers.
• Experience with one or more programming or scripting languages such as Go or Python, and familiarity with observability tools including Prometheus, Grafana, and CloudWatch.
• Experience with Amazon Bedrock and SageMaker is highly desirable.

Additional Details

The base pay range for this position is expected in the range below:

C$142,400 - C$190,100

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including RRSP eligibility, various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

This job posting relates to an existing vacancy within 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, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. 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.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guidelines.