eBay-posted 4 months ago
$152,400 - $247,800/Yr
Full-time • Senior
5,001-10,000 employees

At eBay, 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. The Cloud Data Technologies (CDT) team at eBay is responsible for all the data infrastructure and management of end-to-end data lifecycle for all eBay data from onsite to analytics use cases. We are looking for strong backend infrastructure engineers who are passionate about building data systems that support our real-time, batch and AI systems.

  • Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout.
  • Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.
  • Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.
  • Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.
  • Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.
  • Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.
  • Identify opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization.
  • Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.
  • Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.
  • Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.
  • Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.
  • Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.
  • Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.
  • Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.
  • Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.
  • 12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.
  • Proven success in driving technical strategy and roadmaps, authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.
  • Strong foundation in data structures, algorithms, and distributed systems design.
  • Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.
  • Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.
  • Experience building both streaming and batch data platforms, improving reliability, quality, and developer velocity.
  • Demonstrated ability to mentor senior engineers, influence org-wide practices, and make long-term architectural decisions that unlock measurable business outcomes.
  • BS/MS in CS or equivalent practical experience.
  • Competitive compensation
  • Global benefits including 401(k) eligibility
  • Paid time off benefits, such as PTO and parental leave
  • Support for learning resources and conferences
  • Hybrid/remote-friendly practices
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service