Staff Software Engineer, Query Engine [Rust]
Komodo Health · United States · US
Software Engineering
On-site
Dentist
Demand74
Career growth72
Healthcare fit14
Remote potential60
5-year outlook
Staff-level software engineering at a well-funded health data company typically sits in the upper tier of engineering compensation, with growth tied to AI/data-platform demand rather than clinical credentials. Exact figures vary widely by location and equity structure and are not stated in the posting.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
–
Date found
2026-10-03
Intelligence details
Flexible work details
- Eligible countries
- United States
- Profession fit
- Dentist
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Only worth considering if you are a clinician who is already a strong, senior software engineer with production Rust and distributed-systems experience. For the vast majority of doctors, nurses, pharmacists, or allied health professionals, this is not a realistic pivot target.
Who should apply
Clinician-engineers (e.g., MD/PhD or nurse/ pharmacist with a CS degree) who have shipped production Rust or comparable low-level systems code, led large-scale data infrastructure workstreams, and want to apply that in a healthcare data platform. Also relevant to healthcare graduates with strong backend/systems engineering track records.
CV angle
Lead with engineering impact, not clinical titles: quantify query latency, throughput, and cost-per-query improvements; highlight ownership of indexing, storage, and multi-tenant fleet reliability. If you have healthcare data experience (claims, EHR, real-world evidence, de-identified patient data), frame it as domain context that shortens ramp-up on the Healthcare Map — but never present clinical training as a substitute for systems engineering depth.
Skills to highlight
- Rust systems programming
- Query engine and indexing design
- Distributed systems and multi-tenant architecture
- Performance optimization (latency, throughput, cost)
- API design for high-volume and agent-driven traffic
- Observability, reliability, and failure handling
- Storage access patterns and memory layout
- Technical leadership and cross-functional roadmap delivery
Role summary
A staff-level individual-contributor software engineering role at Komodo Health, owning the design, performance, and scaling of Burrow — a Rust-based query and indexing engine that serves de-identified patient data from the Healthcare Map to applications and AI agents at sub-300ms latency. Responsibilities span engine performance, AI-scale serving, migration of legacy workloads, platform hardening, and cross-team technical direction.
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