Block
Senior Software Engineer, Product Platform
$185K–$327K
New York, NY, United States of America +1 · Senior · Full-time · Posted Sep 30, 2026
- Location
- New York, NY, United States of America
US - CA - Oakland - Experience
- At least 5 years of related experience with a Bachelor’s degree; or 3 years with a Master’s degree; or equivalent work experience.
- Education
- Bachelor’s degree; or Master’s degree with the stated experience alternative; or equivalent work experience.
About the job
Build and operate database and storage platform software, services, and tools that help Block engineering teams manage data and deliver reliable products.
What you'll do
- Develop platform services and tools for database provisioning, migrations, upgrades, and other lifecycle operations; improve database performance, scale, and reliability.
- Partner with engineering teams on database use and platform adoption, and modernize data store platforms.
- Lead technical projects through implementation, rollout, and operational ownership, including on-call and incident response.
What they ask for
- Experience building and operating backend, infrastructure, or distributed systems, including meaningful production experience with relational databases.
- Strong software engineering fundamentals and practical knowledge of database concepts such as transactions, indexing, replication, schema evolution, and query performance.
- Ability to turn ambiguous technical problems into plans and solutions, debug production systems, explain tradeoffs, and work across teams.
- Interest in using AI in engineering workflows and applying it thoughtfully.
Nice to have
- Experience in one or more of database infrastructure, distributed storage, online migrations, cloud services, Kubernetes, observability, or developer tooling.
Pay
USD 217,800—326,800 base salary (Zone A); USD 207,000—310,400 base salary (Zone B); USD 196,100—294,100 base salary (Zone C); USD 185,200—277,800 base salary (Zone D)
Tools
MySQL, AWS Aurora, Vitess, DynamoDB, Redis and ElastiCache, OpenSearch, Kubernetes, Go
AI focus
Use AI tools to accelerate development and system understanding, with careful review, testing, and engineering judgment; encourage thoughtful use by others.
Model-written summary · the original posting is authoritative