Note: The job is a remote job and is open to candidates in USA. Komodo Health uses healthcare data, modern engineering, and AI to reduce the global burden of disease through its Healthcare Map and software applications. The Staff Software Engineer will design, build, and scale the Rust-based Burrow query and indexing engine, developing high-performance data systems and APIs that support customer applications, AI agents, and enterprise-scale healthcare analytics.
Responsibilities
- Engine Performance: Shipped measurable Burrow engine improvements in query latency, throughput, and cost per query through work on indexing, pruning, memory layout, and storage access patterns
- AI-Scale Serving: Scaled Burrow's query interfaces for agent-driven traffic, keeping latency low as Komodo's AI agents and LLM-driven products query the Healthcare Map at many times the volume of human users
- Migration Leadership: Led a major workstream moving existing query workloads from legacy systems onto Burrow without disrupting customers
- Collaborative Roadmap Delivery: Partnered across Data Product, Labs@Komodo, and Engineering to define technical requirements and deliver scalable, production-grade solutions
- Platform Hardening: Hardened Burrow's multi-tenant query fleet, with measurable improvements in reliability, observability, failure handling, and cost efficiency
- Technical Multiplication: Mentored and up-leveled the engineering team, raising the bar for code quality, AI-augmented workflows, and system design
- Query Engine Development: Design, build, and optimize Burrow's distributed query execution, indexing, and storage layers, powering customer-facing APIs, Komodo's software applications, and Marmot
- AI & Agentic Serving: Design the query APIs, semantic layer, and serving patterns that Komodo's AI products and agents depend on, partnering closely with Labs@Komodo
- Scalable Data Systems: Design and implement high-performance data processing and serving patterns across large-scale healthcare datasets, with Rust as the primary language, alongside SQL, Python, DuckDB, or Spark where each is the right tool
- Query Capability Expansion: Extend Burrow beyond patient-centric data, adding healthcare provider data and new query types such as provider-level trends and top-K analytics
- Ingest & Consumer Partnership: Partner with upstream data engineering teams on how data enters Burrow, and with the products and platforms built on it, including Marmot, to deliver the APIs and queries they need
- Cross-Functional Product Delivery: Partner with Product, Data Science, Labs@Komodo, Quality, Platform, and application teams to translate complex healthcare use cases into production-grade technical designs and execution plans
- Technical Leadership: Lead complex, multi-quarter initiatives, making clear trade-offs across performance, scalability, maintainability, cost, reliability, and time-to-market
- Quality, Observability & Trust: Define and implement data quality checks, validation frameworks, observability, lineage, monitoring, and alerting to ensure Healthcare Map products and AI-serving data are accurate, explainable, and reliable
- Engineering Excellence & Mentorship: Raise the bar for system design, code quality, documentation, testing, CI/CD, and operational readiness across the team, and mentor engineers through design reviews, technical deep dives, pairing, and architectural guidance, helping the team make better decisions at scale
Skills
- Experience writing high-performance systems code in Rust (strongly preferred) or Erlang or C++, owning services end to end, including operating them in production
- Deep knowledge of how analytical engines work under the hood: columnar formats (Parquet, Arrow), indexing and pruning (bloom filters, star-tree, and similar), compression and compaction, query planning and execution, and low-latency, high-RPS serving
- Experience building on or extending engines such as Pinot, Druid, ClickHouse, DuckDB, DataFusion, or Trino
- Demonstrated ability to design data models, serving patterns, platform components, and system architectures for complex, high-volume data environments
- Track record of setting technical direction beyond your own team: leading design reviews, mentoring senior engineers, and driving multi-quarter architecture decisions across teams
- Experience building query or serving infrastructure consumed by AI/ML systems, LLM-driven products, or high-volume real-time traffic
- Comfort profiling and tuning distributed systems across memory, CPU, I/O and NVMe access patterns, caching, partitioning, and failure handling at fleet scale
- Ability to explain technical decisions, trade-offs, risks, and delivery status clearly to engineers, product partners, data scientists, AI engineers, and senior stakeholders
- Hands-on use of AI tools such as ChatGPT, Gemini, Cursor, Claude, or similar to improve engineering productivity, design quality, testing, documentation, and decision-making
- You'll actively experiment with new AI techniques, share learnings across teams, and contribute to Komodo's AI-first engineering culture
- Experience writing high-performance systems code in Rust
Benefits
- This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan.
- This role may also be eligible for equity awards.
- Comprehensive health, dental, and vision insurance
- Flexible time off and holidays
- 401(k) with company match
- Disability insurance and life insurance
- Leaves of absence in accordance with applicable state and local laws and regulations and company policy
- Open to remote OR hybrid
- Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago.
Company Overview
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