Humana · 1 day ago
Lead Software Engineer – Decision Integrity & Observability
Humana Inc. is committed to putting health first and is developing an enterprise-scale Next Best Action platform for real-time decision-making. The Lead Engineer — Decision Integrity & Observability will be responsible for ensuring the integrity and observability of decision-making processes, empowering teams to innovate confidently while maintaining compliance and traceability.
Health CareHealth InsuranceInsuranceVenture Capital
Responsibilities
Define and enforce determinism guarantees for the decision kernel (Context → Rules → Scores → Reconciliation → Response)
Govern the use of artifacts such as rule packs, reason-code taxonomies, model versions, and objective configurations to ensure decisions are fully explained (including plain-English reasons, rule/policy references, and model stamps)
Enforce contact policy controls (consent, quiet hours, frequency caps) and event-driven suppressions, ensuring all surfaced channels are compliant with policy
Design end-to-end traceability, establishing lineage, causality, and cross-service correlation across the Decision Engine, Rules, Action Library, State Machine, Outbox, and channel executors
Develop append-only decision ledgers (input summaries, context hashes, rule/model versions, explanations) with hash-verified replay paths for auditability
Implement semantic guards to detect and alert on business logic errors (e.g., unauthorized channel offers), extending beyond traditional infrastructure monitoring
Integrate OpenTelemetry instrumentation; provide operational dashboards displaying key indicators (p50/p95 latencies, rule-denial distributions, model latency, cache hit rates, replay health)
Develop determinism validation harnesses using golden datasets to ensure consistent outputs for identical inputs and versions (integrated into CI/CD pipelines)
Ensure contract compliance for NBA interfaces via OpenAPI, schema validation, and consumer-driven contracts across all platform modules
Apply property-based validation to rigorously test rules, scoring, and reconciliation under various policy and event scenarios
Automate performance and resilience checks, including timeouts, circuit breakers, fallback logic, and chaos testing to maintain p95 SLOs
Maintain explainability regression controls, ensuring that changes to rules or models do not degrade the quality of explanations
Collaborate with rules and policy teams on reason-code coverage and pre-release simulation/backtesting
Work with machine learning teams on model versioning, feature parity (training vs. serving), latency objectives, and safe rollout strategies (shadow/canary deployments)
Coordinate with state management and outbox teams to ensure exactly-once intent, idempotent consumers, legal state transitions, and invariant validation
Support orchestration and integration needs for Node.js/TypeScript surfaces as required
Qualification
Required
Minimum of 8 years in backend/platform service development; at least 3 years in a senior or lead role overseeing mission-critical systems
Proven experience delivering backend/platform systems with a focus on correctness, reliability, and traceability
Demonstrated ability to reason about stateful, distributed flows and identify failure modes across interconnected services
Hands-on implementation of advanced observability (structured logging, tracing)
Advanced Java backend development, with a focus on deterministic execution and explicit invariants
Familiarity with rules/policy engines or DSLs; JVM-compiled DSL experience is advantageous
Experience in event-driven, asynchronous architectures, preferably with Kafka or similar pub/sub systems
Mastery of delivery guarantees (at-least-once transport, idempotent consumers, exactly-once effects via the Outbox pattern)
Expertise in relational database design (PostgreSQL or equivalent) supporting immutability, auditability, and replay, including append-only histories and versioned records
In-depth knowledge of transactions, isolation levels, and failure boundaries, with the ability to utilize explicit SQL for performance and correctness
Proficiency with OpenTelemetry and the ability to correlate logs, traces, and metrics across synchronous and asynchronous flows
Capability to design observability systems that provide business-contextual explanations
Experience working alongside Node.js/TypeScript services for orchestration/API composition
Exposure to production ML inference, including deterministic ranking integration and robust fallback handling
Ownership of determinism/replay test harnesses, contract validation, property-based tests, and performance/chaos gates in CI/CD
Application of trace-driven assertions to ensure decision integrity is observable
Benefits
Medical, dental and vision benefits
401(k) retirement savings plan
Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
Short-term and long-term disability
Life insurance
Company
Humana
Humana is a health insurance provider for individuals, families, and businesses.
H1B Sponsorship
Humana has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (282)
2024 (246)
2023 (284)
2022 (274)
2021 (212)
2020 (84)
Funding
Current Stage
Public CompanyTotal Funding
$13.07B2025-05-30Post Ipo Debt· $5B
2025-03-03Post Ipo Debt· $1.25B
2024-03-11Post Ipo Debt· $2.25B
Leadership Team
Recent News
2026-01-16
2026-01-16
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