About e Bay

e Bay 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.

About the Role

We are seeking a Sr. MTS Software Engineer to lead the architectural vision and technical strategy for e Bay'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 e Bay'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 e Bay's Data Platforms, from conception to successful production rollout
• Collaborate with Product Managers to help define the vision for the data platform at e Bay
• 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
• Demonstrate 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: 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 e Bay'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

Compensation

The base pay range for this position is expected in the range below: $152,400 - $247,800

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units.

Job Details

Company: e Bay
Location: Austin/Portland/Toronto
Job Type: Full-time