greenhouse
Staff Software Engineer, Product Data Platform
Brex
Seattle, USA
Senior · 8+ years experience
USD 240000-300000 / year
Discovered 2 weeks ago
elasticsearchflinkjavakafkakotlinpostgresql
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Responsibilities:
- Lead technical strategy for critical PDP initiatives, balancing long-term architecture with near-term delivery across multiple teams.
- Identify and resolve systemic performance, consistency, and scalability problems, including cross-team gaps no single team can own.
- Own architecture direction for query performance: query plans, execution paths, cost models, indexing strategies, and schema and access-pattern design.
- Design and evolve distributed systems with thoughtful tradeoffs around consistency, latency, caching, cost, and failure modes.
- Raise the technical bar across the group through design reviews and architecture decisions, and dive in hands-on where it matters most, including P95/P99 latency issues in production.
- Proactively identify scaling risks and reliability gaps, and turn findings into plans the group aligns behind.
- Mentor senior engineers and grow the next generation of technical leaders within PDP.
- Contribute directly on high-stakes initiatives and critical path decisions, primarily in the JVM ecosystem (Kotlin/Java).
Requirements:
- 8+ years of backend engineering experience building and operating production systems at scale, including as a technical leader on multi-team initiatives.
- Track record of leading architecture and delivery for large-scale distributed systems in a platform or infrastructure environment.
- Deep hands-on expertise with relational databases (Postgres or Aurora strongly preferred), including query plan analysis, indexing strategies, and real-world optimization.
- Ability to drive ambiguous, cross-cutting problems to resolution without a defined charter.
- Strong written and verbal communication, with the ability to influence stakeholders and align teams without direct authority.
- Experience mentoring senior engineers.
- Bonus:
- Hands-on experience with OpenSearch / Elasticsearch or similar systems in production.
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