Staff Software Engineer, Database Infrastructure

Gusto Gusto · Fintech · Denver, CO +3 · Remote · Engineering

Staff Software Engineer, Database Infrastructure role at Gusto, focusing on architecting, deploying, and managing distributed database systems (TiDB) on Kubernetes. The role involves complex migrations, defining efficiency improvements, ensuring data consistency and security, and mentoring other engineers. It emphasizes experience with distributed data systems, Kubernetes, AWS, and operating in an AI-native environment.

What you'd actually do

  1. Architect, deploy, and own the full lifecycle of distributed database systems (TiDB) on Kubernetes at scale, ensuring high availability, data consistency, and operational excellence
  2. Coordinate complex, zero-downtime migrations from monolithic to distributed architectures, including vertical sharding to isolate Product Services
  3. Define and drive efficiency improvements across the storage infrastructure through query optimization, caching strategies, and workload management
  4. Define standards and build reliable automation to ensure data consistency, integrity, and security across distributed systems
  5. Continuously improve operational excellence by reducing on-call burden through sustainable, long-term solutions

Skills

Required

  • 12+ years of software engineering experience building and scaling large-scale infrastructure systems
  • Hands-on experience building and operating distributed databases on Kubernetes (strongly preferred: TiDB; alternatively: CockroachDB, Vitess, Citus, or similar solutions)
  • Deep expertise in distributed data systems including horizontal sharding, partitioning strategies, and distributed transaction management
  • Proven experience coordinating complex, zero-downtime migrations affecting production systems at scale
  • 5+ years of AWS experience with RDS, Aurora, caching systems (Redis/ValKey), streaming platforms (Kafka), and infrastructure optimization at scale
  • Strong communication skills with the ability to simplify technical complexity and collaborate on technical direction across teams
  • Curiosity and ability to operate in an AI-native environment, leveraging AI tooling to enhance infrastructure operations, driving improvements in query optimization, performance evaluation, and infrastructure automation

Nice to have

  • Experience with service extraction and vertical sharding from monolithic architectures
  • Experience working with Ruby on Rails or similar MVC frameworks at scale

What the JD emphasized

  • deep expertise in distributed data systems
  • Hands-on experience building and operating distributed databases on Kubernetes
  • Deep expertise in distributed data systems including horizontal sharding, partitioning strategies, and distributed transaction management
  • Proven experience coordinating complex, zero-downtime migrations affecting production systems at scale
  • 5+ years of AWS experience
  • Curiosity and ability to operate in an AI-native environment