Lead Platform Engineer – Real-Time Decisioning

Humana Inc

Lincoln (NE)

Hybrid

USD 129,000 - 178,000

Full time

6 days ago

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Job summary

Humana Inc. is seeking a Lead Full Stack Engineer to architect and deliver scalable, real‑time decisioning for the NBA platform.

You will own the State Machine and Transactional Outbox, writing production‑grade code in Java, Python, Node.js, and TypeScript while mentoring engineers across platform teams. You will ensure platform observability, reliability engineering, and automated testing to meet enterprise‑scale performance and auditability requirements, with a hybrid/hub involvement model and

Qualifications

Bachelor's degree in computer science or related field.
8+ years of full stack software engineering experience, with at least 1–2 years leading platform reliability, quality engineering, site reliability, or production operations initiatives.
Strong experience building production software across modern backend technology stacks, including Java, Python, Node.js, or TypeScript.
Hands‑on experience designing and implementing automated testing frameworks, including integration testing, end‑to‑end testing, load testing, and quality automation.
Strong understanding of modern observability practices, including structured logging, metrics collection, distributed tracing, monitoring, and alerting.
Experience designing reliability patterns for distributed systems, including fault tolerance, retries, resilience, and failure recovery mechanisms.
Demonstrated ability to lead a small engineering pod and manage contractor resources while remaining an active individual contributor.
Experience operating cloud‑native applications on Kubernetes and container‑based platforms.
Clear communicator who can articulate operational risks, quality concerns, and engineering tradeoffs to technical leaders and senior executives.
Experience using modern AI‑assisted development tools such as Claude, GitHub Copilot, or similar technologies to improve engineering productivity and quality.

Responsibilities

Pod delivery — Own delivery for the platform scale and reliability pod, including planning, execution, quality, and operational readiness across the NBA platform.
Platform reliability — Own uptime, performance, resilience, and operational excellence across platform services; proactively identify bottlenecks, failure points, and scaling constraints before they become production incidents.
Quality engineering — Build and maintain automated testing frameworks spanning unit, integration, end‑to‑end, regression, and performance testing; establish quality standards that all delivery pods must meet before release.
Hands‑on development — Contribute production code alongside the team, building reliability tooling, test automation, observability capabilities, and platform infrastructure improvements.
Observability and monitoring — Own the platform's logging, metrics, distributed tracing, alerting, and monitoring strategy; ensure engineering teams have deep visibility into system behavior across environments.
Error and failure management — Define and enforce patterns for exception handling, fault tolerance, recovery, and operational diagnostics across distributed services.
Scalability engineering — Evaluate platform behavior under load and lead initiatives that improve performance, throughput, reliability, and cost efficiency as membership volume and engagement activity grow.
Production readiness — Define and enforce release readiness criteria, operational quality gates, and handoff standards that services must satisfy before entering production ownership.
Team leadership — Manage and mentor engineers and contractors; conduct code reviews, uphold engineering standards, and foster a culture of quality and operational excellence.
Cross‑team coordination — Partner closely with decisioning, orchestration, activation, platform, and data teams to identify reliability risks early and ensure production concerns are addressed throughout delivery.