Senior Engineering Manager

About the Team & Role

At eBay, the Data Platform Engineering group designs and scales innovative infrastructure and analytics solutions that power robust data flows, real-time insights, and inventory mapping globally. The team builds and maintains large-scale systems supporting high-volume data acquisition, transformation, and reporting, driving platform reliability and supporting business decision-making across regions. This role is in Global Focus Categories organization responsible for Focus categories growth with data insights and analytics.

Responsibilities:

• People Leadership & Development: Lead, mentor, and grow a cross-functional full-stack engineering team (backend and frontend), providing empathetic, individualized coaching, regular feedback, and clear growth paths aligned with career goals.

• Team Health & Culture: Foster a collaborative, inclusive, and high-performing team culture grounded in trust, accountability, and continuous improvement.

• Delivery & Execution Ownership: Own delivery outcomes for the team, ensuring predictable, high-quality software delivery through strong execution, prioritization, and operational rigor.

• Planning & Backlog Management: Partner with Product Management to define, prioritize, and maintain a healthy product backlog aligned with strategic goals, technical capacity, and business impact.

• Cross-Functional Collaboration: Work closely with product managers, business stakeholders, analytics, and partner engineering teams to define, brainstorm, and scale the next generation of eBay shipping products.

• Technical Vision & Quality: Define and communicate the team s technical vision, championing engineering best practices, sound architecture, and innovation while raising the bar on performance, reliability, and system quality.

• Technical Problem Solving: Guide and support the team in solving complex challenges related to large-scale systems, performance optimization, and operational reliability.

• Strategic Execution Balance: Balance near-term delivery commitments with long-term technical and product strategy to maximize impact while managing technical debt responsibly.

• Organizational Influence: Partner effectively with peer managers, senior engineers, and leadership across eBay to align on priorities, influence decisions, and drive shared outcomes.

• Hiring & Talent Growth: Participate in hiring, onboarding, and talent planning to build and sustain a strong engineering team over time.

Qualifications:

• Experience & Leadership: 12+ years of overall professional experience, including 5+ years in an engineering leadership or management role, leading small to medium-sized software engineering teams.

• Technical Depth: Strong technical background with experience building and operating large-scale, distributed systems emphasizing high availability, scalability, and resilience.

• Execution Excellence: Demonstrated ability to drive consistent, high-velocity delivery while maintaining high standards for quality, reliability, and operational excellence.

• Agile & Delivery Practices: Experience working within Agile/Scrum development environments, including sprint planning, prioritization, and continuous improvement.

• Communication & Influence: Exceptional communication skills, with the ability to clearly articulate complex technical and business topics, align stakeholders, and influence decisions at multiple levels.

• Product & Business Mindset: Strong product intuition and the ability to collaborate effectively with product, analytics, and business partners to deliver customer-focused solutions.

• Adaptability & Learning: Proven ability to quickly learn new technical domains, adapt to evolving requirements, and lead teams through change.

Preferred Experience:

• Architect, develop, and maintain backend services and distributed systems driving large-scale data collection, processing, and reporting workflows.

• Design and optimize ETL (Extract, Transform, Load) pipelines for a range of data sources, enabling inventory mapping, enrichment, and transformation.

• Implement advanced extraction and mapping frameworks using modern technology stacks, ensuring data is clean, comprehensive, and actionable.

• Collaborate globally across engineering, product, and analytics teams (India, US, China, Europe) to deliver impactful platform features and ensure alignment on technical best practices.

• Guide team in troubleshooting, system design, DevOps processes, and cloud pipeline architecture.

• Experience in AWS, including services such as Lambda, Cognito, EKS, OpenSearch, Kinesis, S3, SNS, and SQS

• Strong background in serverless computing and event-driven architectures

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.