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. Senior MTS Software Engineer, Data Platform Company: eBay Location: Toronto Job Type: Full-time About eBay eBay is a global commerce leader that connects millions of buyers and sellers around the world. We empower people and create economic opportunities for individuals, businesses, and communities. We're driven by a vision to create a more sustainable form of commerce that benefits the environment and society as a whole. Join us as we continue to innovate and shape the future of e-commerce. Job Description: 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. Problems We're Solving Data development today is fundamentally broken. Engineers hand-craft pipelines in imperative code, manage dependencies manually, and operate blind — without lineage, runtime feedback, or any way to reason about cost or correctness at scale. dbt made SQL declarative. We're making the entire data development lifecycle declarative — and it's a much harder problem. GDS is building the compiler, metadata system, and catalog infrastructure that lets data assets be declared, not coded — and then automatically optimized, governed, and operated across one of the largest e-commerce data platforms in the world. And we believe this is what future AI-native data development looks like: developers describe intent, the platform handles the rest. About the Role We are seeking a Sr. MTS Software Engineers to lead the architectural vision and technical strategy for eBay’s Core Data platform organization. This is a pivotal role where you will drive scalable, intelligent, and cost-efficient systems that enable users to build pipelines and manage data seamlessly. Your work will establish the foundation for the future of eBay's data platform infrastructure. We are seeking Data Platform Software Engineers, not Data Engineers. While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines. If you are an engineer eager to gain an in-depth understanding of distributed data processing, this is the right team for you! What you’ll do and learn Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay. Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards. System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability. Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards. Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities. Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes. Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact. Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects. Documentation & Governance: 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. Mentorship: 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. Excellent in interpersonal communication What you bring Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems). Deep systems approach: you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs. Excellent decision-making and communication skills, thriving in ambiguity while aligning diverse stakeholders on the right path forward. Security and compliance mindset, including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements. Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices. Growth mindset: continuous learner who embraces new technologies, shares knowledge internally/externally, and adapts to evolving business priorities. Why join us High-impact mission: You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale. Challenging technical problems: From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency. Vibrant culture: A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice. Flexibility & support: Hybrid/remote-friendly practices, competitive compensation, global benefits (ebaybenefits.com), and support for learning resources, conferences, and career development. Always-on responsibility with balance: While you’ll help lead reliability for critical services, we invest in strong operational practices and on-call sustainability. Qualifications 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. Additional Details This job posting relates to an existing vacancy within eBay. 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, 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. 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.