採用
Benefits & Perks
•401(k)
•Equity
•Parental Leave
•Healthcare
•401k
•Equity
•Parental Leave
•Healthcare
Required Skills
Reliability Engineering
Team Leadership
Software Development
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.
About the team and role:
We are the Reliability Engineering team, focus on eBay.com Availability, Reliability, Performance via Observability. We are seeking a highly motivated and experienced Reliability Engineering Manager to lead a team responsible for the development, operations, and governance of one of the largest observability control planes in the world based on Kubernetes.
You will guide and mentor a team of hardworking engineers in building and maintaining robust, secure, and scalable telemetry offerings that empower e Bay’s core product engineering organizations and initiatives.
We require a unique blend of Reliability Engineering expertise, software development management experience, and strong leadership skills. The ideal candidate will have a deep understanding of Observability, experience managing and developing software engineering teams, passion for building scalable and reliable systems, and excellent people skills to cultivate a high-performing team.
What you will accomplish:
Leadership & People Management
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Lead and mentor a team of observability platform, reliability engineers, fostering a strong culture of collaboration and continuous improvement.
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Experiment, roadmap, plan, build products, communcate and delivery of platform capabilities for better availability, reliability and performance.
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Conduct regular one-on-one meetings with team members, providing guidance, feedback, and support for their career development.
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Manage performance evaluations and provide constructive feedback and actively participate in all phases of growing the engineering organization through recruiting, team building, etc.
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Lead and coordinate engineering activities to successfully plan, communicate, and deliver on product features on time while designing for quality, observability, and scalability.
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Ensure full software lifecycle instrumentation from requirement ideation to software development to deployment.
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Drive the adoption of cloud-native technologies and standard processes, such as containerization, service mesh, microservices, etc.
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Collaboration with internal partners and team members:
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Reliability engineering and operations teams, product, and PMO on engineering resource allocation and project schedules in accordance with our strategic organizational priorities.
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Operations teams on maintaining a highly available telemetry and command/control infrastructure to ensure e Bay’s products and services are available to our customers.
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Information security teams to ensure integrity and compliance of the telemetry infrastructure by implementing appropriate security controls and monitoring.
What you will bring:
- 12-15 years of proven experience working in Infrastructure and software development and engineering organizations with 5 years’ experience in managing and leading both reliability engineering teams and software development teams.
- Excellent at communicating critical updates to organizational leaders and executives including AI-driven reliability trends and insights.
- Experience supporting medium or large tech organizations with many different internal customers and partners.
- Experience working collaboratively in large distributed global teams.
- Demonstrated ability to adopt and operationalize emerging AI tools, ensuring the team remains at the forefront of reliability engineering practices.
- Knowledge of software development, networking, security, and storage technologies in a cloud environment and proven understanding of cloud-native architectures, microservices, and DevOps and SRE principles.
- Passion for staying ahead of the curve in AI/ML innovation applied to observability, monitoring, and system reliability.
Additional Details
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 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 for people with disabilities.
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
PublicBuy, 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 Process Analyst 2
3 reports
$111,775
total / year
Base
$97,196
Stock
-
Bonus
-
$111,775
$111,775
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
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