Senior Backend Engineer, Context Hub

What You Will Do:

• Design data transformation pipelines that convert raw health signals, user inputs, and third-party data into structured, queryable context
• Architect event-driven ingestion using tools like Kinesis, EventBridge, and SQS - handling duplicate events, traffic spikes, and partial failures gracefully
• Define flexible data models and schemas for a hierarchical health context ontology that evolves as new context types emerge

How We Build With AI:

• Accelerate pipeline development, iterate on schema design, prototype integration patterns, and reduce boilerplate
• Focus on the hard problems.
• View AI as a coworker in the development loop, not just autocomplete

Requirements:

• Building and operating production data systems at scale in Python
• Designing event-driven architectures
• Strong technical grasp of AWS ecosystems