Jobs
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 Role:
We are looking for a Distributed Systems Engineer to join our Cloud Security Engineering team in Austin, TX.
In this role, you will develop and build highly available, fault-tolerant distributed systems that power critical security capabilities such as identity, access control, data protection, and policy enforcement across e Bay’s cloud infrastructure.
This role is ideal for engineers who enjoy solving hard systems problems, care deeply about reliability and correctness, and want their work to have a direct impact on platform trust and security at global scale.
What you will accomplish:
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Design, build, and operate cloud-scale distributed security services with a focus on high availability, scalability, and resilience.
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Architect systems that handle failures gracefully across regions, services, and dependencies.
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Develop backend services and APIs that operate optimally under high efficiency and low-latency requirements.
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Implement strong observability practices, including monitoring, alerting, and automated remediation.
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Leverage AI-assisted tools and techniques to improve system reliability, operational efficiency, and developer productivity.
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Participate in design reviews and incident postmortems, driving continuous improvement and operational excellence.
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Contribute to secure-by-design engineering practices, ensuring systems are robust against misuse and attack.
What you will bring:
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At least 5 years of software engineering experience focusing on distributed systems. A bachelor’s or master’s degree in Computer Science, Engineering, or a related field is preferred, or equivalent experience.
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Proven experience designing systems using microservices, event-driven architectures, or component-based architectures.
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Strong programming skills in Java and/or Go and solid understanding of distributed systems fundamentals, including consensus, consistency models, leader election, replication, and fault tolerance.
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Hands-on experience with datastores (SQL and NoSQL) and distributed messaging systems.
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Experience building security or infrastructure platforms (e.g., IAM, policy engines, secrets management, encryption services).
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Familiarity with Zero Trust architectures and modern cloud security patterns, experience with Kubernetes, service meshes, or cloud-native networking and any exposure to compliance-aware systems requiring auditability and traceability would be preferred.
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.
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 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 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
PubliceBay Inc. is an American multinational e-commerce company based in San Jose, California, that allows users to buy or view items via retail sales through online marketplaces and websites in 190 markets worldwide.
10,001+
Employees
San Jose
Headquarters
$28.1B
Valuation
Reviews
3.8
10 reviews
Work-life balance
3.2
Compensation
2.8
Culture
4.1
Career
3.0
Management
2.9
72%
Recommend to a friend
Pros
Supportive colleagues and team culture
Flexible work arrangements
Good benefits and training programs
Cons
Management issues and lack of direction
Limited career advancement and slow promotions
Compensation concerns
Salary Ranges
2,734 data points
Mid/L4
Mid/L4 · BUSINESS ANALYTICS 3
3 reports
$174,000
total per year
Base
$139,653
Stock
-
Bonus
-
$174,000
$174,000
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
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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