СШАStaff Software Engineer, Query Engine [Rust]
1 нед. назад
225k–265k USD / годСШАLead
rust
Staff Software Engineer focused on developing a Rust-based query engine for healthcare data products.
Обязанности
- Team: Data Foundations builds the data products behind Komodo's Healthcare Map, the industry's most comprehensive source of de-identified patient data, with more than 1 trillion linked events. We build Burrow, our query and indexing engine, written in Rust. Burrow powers Komodo's applications today, and soon Marmot, our AI platform, returning patient populations in under 300 milliseconds. That's fast enough to feel instant, and no other healthcare data analytics platform responds at that speed. We are a small, senior, hands-on team that builds with AI tools every day.
- This role exists to design, build, and scale Burrow as it becomes the engine behind more of Komodo's products. As a Staff-level IC, you'll set technical direction for how the engine stores, indexes, and serves data, and for the APIs that our applications and AI agents rely on. You will partner with Product, Platform, and Labs@Komodo (our applied AI team) to keep Healthcare Map data fast, cost-efficient, and reliable at enterprise scale.
- Komodo Health uses modern engineering and AI to tackle healthcare's biggest challenges, turning extraordinary amounts of data into meaningful insights. In this role, you’ll build the core of Komodo's platform and help shape a culture of technical excellence and transparency.
- Looking back on your first 12 months at Komodo Health, you'll have accomplished…
- 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.
Требования
- Systems Programming Depth: Experience writing high-performance systems code in Rust (strongly preferred) or Erlang or C++, owning services end to end, including operating them in production.
- Query Engine & OLAP Internals: 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.
- Architecture & Systems Design: Demonstrated ability to design data models, serving patterns, platform components, and system architectures for complex, high-volume data environments.
- Staff-Level Technical Leadership: Track record of setting technical direction beyond your own team: leading design reviews, mentoring senior engineers, and driving multi-quarter architecture decisions across teams.
- Real-Time and/or AI/ML Enablement: Experience building query or serving infrastructure consumed by AI/ML systems, LLM-driven products, or high-volume real-time traffic.
- Performance Engineering: Comfort profiling and tuning distributed systems across memory, CPU, I/O and NVMe access patterns, caching, partitioning, and failure handling at fleet scale.
- Technical Communication: Ability to explain technical decisions, trade-offs, risks, and delivery status clearly to engineers, product partners, data scientists, AI engineers, and senior stakeholders.
- AI-Augmented Engineering: 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.
Будет плюсом
- Healthcare Data Experience: Experience with claims, clinical, RWE, provider, patient, or life sciences data, including familiarity with coding systems such as ICD-10, CPT, NDC, RxNorm, NPI, or taxonomy data. Not required; strong engine engineers ramp quickly.
- Warehouse-to-Engine Migrations: Experience moving workloads off Redshift, Snowflake, or similar warehouses onto purpose-built serving infrastructure.
- High-Scale Data Architecture: Experience designing systems for large-volume data processing, productization, versioning, delivery, performance optimization, and cost efficiency, including newer columnar formats like Vortex.
- Applied AI / Agentic Workflows: Experience using, designing, or integrating AI-enabled workflows — including LLM pipelines, multi-agent orchestration, prompt chains, or evaluation frameworks — to improve data quality, extraction, curation, or product delivery.
- Fast-Growth Execution: Experience operating in high-growth or ambiguous environments where technical leaders must balance architecture, delivery, quality, and speed.
- Open to remote OR hybrid
Условия
- The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.
- The starting annual base pay for this role is listed below. 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. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.
- San Francisco Bay Area and New York City:
- $225,000 — $265,000 USD
- All Other US Locations:
- $196,000 — $230,000 USD
Другое
- At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.
- As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.
- 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.
- At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.
- Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.