eBay
Overview
At eBay, 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 reinventing 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 Platforms Company: eBay Location: Austin/Portland/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 are driven to create a more sustainable form of commerce that benefits the environment and society. Join us as we continue to innovate and shape the future of ecommerce. What you’ll do
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 real-time, batch and AI systems. Role : We are seeking a Sr. MTS Software Engineer to lead the architectural vision and technical strategy for eBay’s Core Data platform organization. This is a pivotal role that will drive scalable, intelligent, and cost-efficient systems enabling users to build pipelines and manage data seamlessly. We are seeking Data Platform Software Engineers, not Data Engineers. While familiarity with Spark, Flink, and other tools in the Hadoop environment is helpful, the focus is 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. Responsibilities
include: Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. Collaborate with Product Managers to 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 aligned 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 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: 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 operations teams, and ensure smooth delivery of cross-functional projects. Documentation & Governance: Create Architecture Decision Records (ADRs) and contribute to technical documentation and standards. Performance, security, compliance, and future-proofing: Proactively address these areas while balancing latency, correctness, scale, and cost. Improve engineering practices: Raise the bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity. 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 to reduce developer friction and enable faster iteration. Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting. Excellent interpersonal communication What you bring
Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems). Deep systems approach: 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, powering 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, and support for learning resources, conferences, and career development. Always-on responsibility with balance: 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. The base pay range for this position is expected in the range below: $152,400 - $247,800 Base pay offered may vary depending on location, skills, and experience. The total compensation package may 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). 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 department performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with 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, veteran status, disability, or other legally protected status. If you need accommodations, please contact talent@ebay.com. View our accessibility statement to learn more about eBay's commitment to digital accessibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment. An employer who violates this law shall be subject to penalties. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. View our Privacy Center for more information.
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At eBay, 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 reinventing 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 Platforms Company: eBay Location: Austin/Portland/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 are driven to create a more sustainable form of commerce that benefits the environment and society. Join us as we continue to innovate and shape the future of ecommerce. What you’ll do
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 real-time, batch and AI systems. Role : We are seeking a Sr. MTS Software Engineer to lead the architectural vision and technical strategy for eBay’s Core Data platform organization. This is a pivotal role that will drive scalable, intelligent, and cost-efficient systems enabling users to build pipelines and manage data seamlessly. We are seeking Data Platform Software Engineers, not Data Engineers. While familiarity with Spark, Flink, and other tools in the Hadoop environment is helpful, the focus is 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. Responsibilities
include: Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. Collaborate with Product Managers to 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 aligned 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 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: 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 operations teams, and ensure smooth delivery of cross-functional projects. Documentation & Governance: Create Architecture Decision Records (ADRs) and contribute to technical documentation and standards. Performance, security, compliance, and future-proofing: Proactively address these areas while balancing latency, correctness, scale, and cost. Improve engineering practices: Raise the bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity. 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 to reduce developer friction and enable faster iteration. Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting. Excellent interpersonal communication What you bring
Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems). Deep systems approach: 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, powering 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, and support for learning resources, conferences, and career development. Always-on responsibility with balance: 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. The base pay range for this position is expected in the range below: $152,400 - $247,800 Base pay offered may vary depending on location, skills, and experience. The total compensation package may 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). 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 department performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with 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, veteran status, disability, or other legally protected status. If you need accommodations, please contact talent@ebay.com. View our accessibility statement to learn more about eBay's commitment to digital accessibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment. An employer who violates this law shall be subject to penalties. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. View our Privacy Center for more information.
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