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
Experience working with large volume of data is a plus

What you'll be doing:

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

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