Senior Platform Engineer - NBA
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The Senior Platform Engineer keeps the entire NBA platform healthy, reliable, and maintainable for the long term. You develop a working understanding of every layer of the technology stack — the Java/Drools rules engine, the React/Node/Postgres action library, the Node.js and Temporal orchestration and state machine, the Kafka event backbone, and the Databricks decisioning pipelines — and you use that breadth to diagnose issues, improve reliability and performance, and implement focused features and enhancements wherever they are needed. This is a hands-on role for an engineer who enjoys understanding how systems fit together and takes pride in keeping a complex platform running smoothly. Key Responsibilities
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Cross-Stack Maintenance — Maintain and support services across the full platform; build and keep current a working knowledge of each component and how they integrate.
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Reliability Engineering — Monitor platform health, investigate production issues, and resolve bottlenecks, failures, and scaling constraints — often before users notice them.
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Feature Implementation — Design and ship focused features, enhancements, and technical improvements across platform components, favoring clarity and maintainability.
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Observability — Extend logging, metrics, tracing, and alerting so the team has clear visibility into what the system is doing in production.
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Performance and scale — Profile and tune components under load; help the platform scale reliably as member volume and data throughput grow.
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Quality — Write tests, participate in code reviews, and uphold engineering standards so changes ship production-ready.
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Incident response — Participate in the on-call rotation, lead root-cause analysis, and turn incidents into durable fixes and preventative improvements.
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Collaboration — Work with the delivery pods and Decision Intelligence to understand new components and smoothly take on their long-term ownership.
Required Qualifications
- 5+ years of software engineering experience building and operating production systems.
- Comfortable working across a polyglot codebase; able to read, debug, and extend code in more than one of Java, Node.js/TypeScript, Python, and SQL.
- Solid understanding of distributed systems: APIs, event-driven patterns, asynchronous processing, and failure handling.
- Hands-on experience with observability practices — structured logging, metrics, tracing, and alerting.
- Experience operating services on cloud infrastructure (Azure or equivalent) with containers/Kubernetes and CI/CD.
- A maintenance-and-reliability mindset: you treat operational health and clean, well-documented code as first-class work.
- Clear communicator who can explain a system or an incident to engineers and non-engineers alike.
Preferred Qualifications
- Experience with Kafka producer/consumer patterns and stream processing.
- Familiarity with Temporal or comparable workflow-orchestration platforms.
- Exposure to rules engines (Drools or equivalent).
- Experience with React/Node/Postgres application stacks.
- Exposure to Databricks, Delta Lake, or Spark-based data pipelines.
- Background in healthcare, insurance, or another regulated industry with PHI handling requirements.
Use your skills to make an impact
Work Style: Remote/Hybrid - Preferably Boston, MA.
Occasional travel to Humana 's offices for training or meetings may be required.
Work Hours : Typical business hours are Monday-Friday, 8 hours/day, 5 days/week-- some flexibility might be possible, depending on business needs.
Interview Format
As part of our hiring process, we will be using on-demand technology provided by Hire Vue, a third-party vendor. This technology provides our team of recruiters and hiring managers with an enhanced method for decision-making through on-demand candidate assessments.
If you are selected to move forward from your application prescreen, you will receive