Senior Software Engineer - Data Platform

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

Nice to haves:

• Experience working with large volume of data

Perks and 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