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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:
The Mobile Services & Telemetry (MST) team builds and operates the client-side observability and control platform for e Bay’s native iOS and Android apps. The team enables error and traffic telemetry, custom event logging, dashboards, anomaly detection, and runtime controls that help engineers diagnose issues quickly and improve reliability at scale.
This is a platform and tooling engineering role focused on backend services, streaming pipelines, and developer-facing release automation—not an SRE position. The role supports real-time incident response for MST-owned services and pipelines, while broader incidents are managed by partner SRE teams. You will participate in a rotating on-call schedule (one week of 24/7 coverage, with supplemental pay in line with regional policy) and may contribute to asynchronous investigations during business hours.
Based in Dublin, Ireland (in-office or hybrid; full remote not available), this role reports within the MST organization and works closely with mobile app teams, platform partners, and SRE teams to improve app reliability and developer velocity through scalable telemetry and release tooling.
What you will accomplish:
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Build and operate Kotlin/Java (Spring Boot) services that safely ingest, process, and enrich mobile telemetry at scale.
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Design and optimize end-to-end streaming data pipelines to power performant dashboards, actionable insights, and resilient alerting.
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Deliver telemetry solutions using Open Telemetry signals (logs, metrics, traces) and search/analytics platforms to reduce time-to-diagnosis in production.
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Contribute to release automation capabilities, including React/TypeScript front-end features and integrations with authentication, documentation, and ticketing systems to streamline weekly app releases.
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Integrate with feature toggle and remote configuration services to enable runtime controls, safe rollouts, and experiment gating for global mobile applications.
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Partner with mobile engineers, core product teams, and platform organizations to build developer-friendly observability tools and continuously improve reliability practices.
What you will bring:
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Proficiency in Kotlin and Java for backend service development.
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Experience with Spring Boot (or similar JVM frameworks) and REST/OpenAPI-based service integrations.
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Experience building modular internal user interfaces using React/TypeScript, including microfrontend or plugin architectures.
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Experience with CI/CD for web plugins and end-to-end testing at scale; familiarity with enterprise SSO/identity management integration patterns.
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Hands-on experience with Kafka ecosystems (producers/consumers, delivery guarantees, schema management) and stream processing frameworks (e.g., Flink or Spark Streaming).
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Practical experience with Open Search/Elasticsearch (index design, query optimization, dashboards, alerts/monitors) and familiarity with Open Telemetry concepts.
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Experience deploying services on Kubernetes (e.g., Helm, Git Ops) and operating distributed systems in production environments.
Additional Details
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.
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 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
News & Buzz
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·
5w ago
AustralianSuper Pty Ltd Sells 791,379 Shares of eBay Inc. $EBAY - MarketBeat
Source: MarketBeat
News
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5w ago
eBay Passes on Agentic Shopping — For Now - E-Commerce Times
Source: E-Commerce Times
News
·
5w ago