MTS 1, Software Engineer, Data Platform

eBay • Austin, TX

1d • Hybrid

About The Position

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 seeking a Software Engineer passionate about data-driven technologies and architectures. We’re seeking a Member of Technical Staff 1 (Software Engineer) who can work independently and is an expert in distributed systems . You’ll design and deliver well-scoped services and features that advance eBay’s Core Data Platform—improving scalability, reliability, and developer experience.

Requirements

• Bachelor’s/Master’s/Ph.D. in Computer Science, Engineering or related field.
• 8+ years work experience in software design and implementation, ideally in large scale, 24x7 dedicated distributed systems.
• Expertise in object-oriented design and backend software development using Java (preferred), Python, or similar technologies.
• Excellent understanding of computer science fundamentals, data structures, algorithms and distributed systems.
• Experience with agile development methodologies in an iterative development environment.
• Experience using open-source technologies and/or contributing to open source software.
• Consistent track record with understanding requirements and translating them into high quality engineering work.
• Proactive and upbeat engineer with a strong bias for action.
• Strong verbal & written communication skills and attention to detail.

Nice To Haves

• Experience working with large volume of data is a plus

Responsibilities

• Design, build, test and deploy software components for a highly available and large distributed system.
• Perform development and operational tasks to maintain uptime & reliability SLAs of the platform.
• Consistently deliver high-quality and on-time product releases and deploy to production.
• Collaborate with product management, customers, peer teams and engineers.
• Participate in and/or lead engineering discussions, technical evaluations, design reviews and other project discussions.
• Follow internal Quality and Reliability engineering processes to meet or exceed established standards.

Benefits

• Impact at scale: Your platform work powers analytics and ML across a global marketplace.
• Hard problems: Streaming freshness/correctness, storage/compute efficiency, multi-region resiliency.
• Collaborative culture: Inclusive team that values autonomy, craftsmanship, and knowledge sharing.
• Growth: Strong mentorship, career development resources, and sustainable on-call practices.
• medical
• financial
• 401(k) eligibility
• PTO
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees