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Software Engineer, Cloud Platform

eBay

Software Engineer, Cloud Platform

eBay

Austin

·

On-site

·

Full-time

·

4d ago

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.

About the team and the role:

We are the e Bay Cloud team, we power the foundational infrastructure that supports thousands of e Bay applications. We operate and manage one of the industry's largest private cloud platforms based on open-source technology, which includes hundreds of Kubernetes clusters and millions of computer instances.

Our mission is to provide end-to-end governance and support for the full lifecycle of e Bay applications running on our platform. We focus on improving the platform's cloud-native capabilities to ensure these applications are reliable, efficient, scalable and secure.

We are looking for a Cloud Platform Engineer with experience to join the team. In this role, you will be a key contributor to the design, implementation, and management of the tools and systems that govern the application lifecycle on our private cloud.

You will help drive the adoption of cloud-native principles, focusing on improving developer efficiency through CI/CD automation and ensuring security compliance across our platform.

What you will accomplish:

  • Help the team in the design and management of the full lifecycle for our cloud-native products and services, build intuitive UIs and customized CLIs to support diverse e Bay applications, including frontend, backend, database, and emerging technologies like Machine Learning and GenAI.

  • Continuously adapt and integrate the latest open-source technologies (e.g., Kubernetes) to build a platform that guarantees our applications are reliable, efficient, and scalable while meeting our security and operational standards.

  • Engineer robust automation and diagnostic tools in Go and Java to streamline platform operations.

  • Collaborate closely with internal teams to ensure the seamless validation, adoption, and integration of the e Bay Cloud platform.

  • Architect and deploy robust observability frameworks that monitor application health, enabling proactive issue resolution and ensuring peak performance and security.

What you will bring:

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

  • Prefer at least 5 years of hands-on experience in cloud platforms, with a strong focus on building cloud-native applications and developing platforms that support their entire lifecycle.

  • Proficient in programming with Java, Go, C++ or Python.

  • Deep expertise in orchestrating containerized applications and building scalable, reliable cloud lifecycle management systems.

  • Skilled at identifying system-level gaps and multi-functional issues, proposing effective solutions, and driving end-to-end resolution.

Additional Details

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

$98,000 - $173,600

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 401(k) eligibility and 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.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

e Bay 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 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 e Bay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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