Senior Software Engineer, Product Data Platform

Responsibilities

• Analyze and optimize complex query plans, execution paths, cost models, joins, and indexing strategies.
• Drive schema and access-pattern improvements to resolve systemic performance bottlenecks.
• Debug and remediate P95/P99 latency issues under load in production systems.
• Design and operate distributed systems with thoughtful tradeoffs around consistency, latency, caching, and failure modes.
• Evaluate existing architectures to proactively identify scaling risks and long-term reliability gaps.
• Implement and improve caching strategies, read/write separation, and replica usage.
• Contribute to and improve backend systems primarily in the JVM ecosystem (Kotlin/Java).
• Raise the technical bar through thoughtful design reviews and clear communication of tradeoffs.

Requirements

• 7+ years of backend engineering experience building and operating production systems at scale.
• Experience building platforms or infrastructure used by real customers.
• Strong communication skills and ability to collaborate cross-functionally.
• Deep hands-on experience with relational databases (Postgres or Aurora strongly preferred).
• Strong expertise in query plan design and analysis, indexing strategies, and real-world database optimization.
• Bonus: Hands-on experience with OpenSearch / Elasticsearch or similar systems in production.
• Bonus: Experience with multi-tenant or data-heavy platforms.

Pay

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Schedule

This role is based in the San Francisco Office and operates on a hybrid schedule with a minimum of three coordinated days in the office per week, Monday, Wednesday, and Thursday. Employees are eligible for up to four weeks of fully remote work annually.