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Staff SWE - MTS2, Backend, eBay Live

eBay

Staff SWE - MTS2, Backend, eBay Live

eBay

Toronto

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

401(k)

401k

Required Skills

Java

Backend Engineering

Distributed Systems

System Design

Cloud Architecture

At e Bay, 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.

Staff Backend Engineer (L26) – Buyer Experience Platform Location: Toronto, Canada

  • Hybrid 1-2 days onsite About the Role

The Buyer Experience Platform team at e Bay builds the backend systems that power critical buyer journeys across search, discovery, trust, checkout, and post-purchase experiences.

As a Staff Software Engineer you will be part of a team responsible for building out the newest e Bay experience - live shopping platform: e Bay Live. Live shopping naturally fits into the e Bay ethos -- focused largely on unique items, collectibles and fashion, and enabling direct communication between buyers and sellers.

This is a relatively new trend in the US and Europe, growing quickly, and is already broadly established in APAC.

We are looking to hire a passionate, collaborative and motivated Backend Staff Software Engineer, who will help us develop and evolve e Bay Live to be a market leader in live shopping and become a key part of the global e Bay platform.

Join us to make an impact on one of the world’s largest e-commerce websites.

As a Staff Backend Engineer, you will operate as a senior technical leader—driving architecture, system design, and long-term platform evolution for large-scale, cloud-native distributed systems used by millions of buyers globally.

This role is suited for an engineer with deep expertise in object-oriented backend development, a strong background in distributed systems, and a passion for improving reliability, performance, and scalability at platform scale.

What You’ll Do

  • Lead the architectural design and development of scalable, highly available backend services that support buyer-facing experiences

  • Serve as a technical authority within the Buyer Experience Platform, influencing system design decisions across teams and domains

  • Build and evolve backend systems using Java (primary) and additional OOP languages such as Python, Go, or C

  • Design, deploy, and operate distributed systems in cloud environments (GCP preferred; AWS or Azure acceptable)

  • Partner cross-functionally with product, design, and engineering leaders to shape technical strategy and roadmaps, balancing short-term delivery with long-term platform health

  • Lead delivery of complex, cross-team initiatives, providing technical direction and mentorship to senior engineers

  • Ensure systems meet high standards for performance, availability, resiliency, security, and accessibility

  • Promote modern engineering practices including shift-left quality, automation, CI/CD, and operational excellence

What You Bring

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

  • 8 years of backend engineering experience, with sustained impact on large-scale production systems

  • Deep expertise in Java and strong proficiency in additional object-oriented languages such as Python, Go, or C

  • Proven experience designing and operating distributed, service-oriented architectures

  • Hands-on experience with cloud-native systems in GCP, AWS, or Azure

  • Demonstrated ability to lead architectural design and influence technical decisions across multiple teams

  • Experience owning and delivering complex software systems end-to-end

  • Strong communication skills and a collaborative approach to technical leadership

Additional Details

This job posting relates to an existing vacancy within e Bay.

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 talentebay.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.

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About eBay

eBay

eBay

Public

Buy, sell, and discover.

10,001+

Employees

San Jose

Headquarters

Reviews

3.8

5 reviews

Work Life Balance

4.2

Compensation

2.5

Culture

4.0

Career

2.8

Management

3.5

Pros

Good work-life balance

Great culture and environment

Nice colleagues and supportive people

Cons

Limited opportunities for growth

Old technology and systems

Call quotas and difficult customers

Salary Ranges

2,741 data points

Mid/L4

Mid/L4 · Business Analyst, ALDP

1 reports

$178,250

total / year

Base

$155,000

Stock

-

Bonus

-

$178,250

$178,250

Interview Experience

4 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Online Assessment (CodeSignal)

3

Technical Phone Screen

4

Technical Interview Rounds

5

Final Review

Common Questions

Coding/Algorithm

Technical Knowledge

Problem Solving

Data Structures