Director software engineering Jobs

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Director, Software Engineering

eBay Inc. -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Computer Science
Master's degree
Administrative experience
Bachelor's degree
Machine learning
Distributed systems
Software development
AI

Full job description

JOB DESCRIPTION

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) organization is the engine of data and AI infrastructure innovation at eBay. We design, build, and operate the large-scale, mission-critical platforms that handle exabytes of data, trillions of daily queries, and power the entire eBay technology ecosystem. We are responsible for defining the future of data at a global e-commerce leader.

Our platforms are the backbone of eBay's data and AI strategy. We engineer and manage:

Massive-Scale Data Infrastructure: Building and managing high-throughput, low-latency distributed systems and the core data infrastructure that enables all data processing at eBay.
Foundational Data Systems: Engineering highly available, at-scale databases and cloud-native storage solutions for both transactional and analytical workloads.
AI Platform: Developing and operating the core services of the AI Platform to accelerate the development, training, serving, and inference of machine learning models across the company.
Real-Time Data and Metrics Processing: Creating robust, high-volume data processing and streaming platforms to securely and efficiently move data across our global environment in real-time.

We are seeking a visionary and results-driven Engineering Leader to establish and scale our Cloud Data Technologies presence in India. This is a highly strategic role for a seasoned leader who is passionate about both cutting-edge technology and building high-performing teams.

You will partner closely with global leadership to oversee software development across multiple critical data and AI domains. This role requires a proven track record in distributed systems, technical strategy, and people development to deliver a modern, unified, and attractive data platform.

Key Responsibilities

People Leadership: Establish, mentor, and scale the Bengaluru engineering team for CDT. Foster a culture of innovation, trust, high-performance, and technical accountability.
Technical Strategy and Execution: Provide hands-on technical direction for teams contributing to core data infrastructure, distributed databases, AI Platform, and data processing initiatives. Ensure execution aligns with global standards of reliability and scalability.
Cross-Functional Influence: Act as a key partner to global leadership and geographically distributed teams to align technical roadmap with business goals and customer needs.
Operational Excellence: Champion a culture of operational rigor, supporting critical SLAs/SLOs, incident response, and capacity planning for foundational data platforms.

Qualifications

Experience: 15+ years of progressive software development experience, with a significant focus on large-scale data technologies, distributed systems, databases, and platforms.
Leadership at Scale: Proven track record of successfully leading teams of teams, mentoring, and scaling engineering teams in large, technology-driven organizations.
Technical Depth: Strong architectural understanding of modern data architectures, AI Platform components, cloud storage, and highly-scalable data flows and processing frameworks.
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Additional Details

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, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. 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 for people with disabilities.

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