[Remote] Staff Software Engineer - Platform Architecture

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is solving reputed company’s fragmentation problem with their FHIR-based health data management platform. They are seeking a Staff Software Engineer to design and build event-driven distributed systems, own API architecture, and partner on AI architecture reputed company a hands-on role that emphasizes collaboration across teams.

Responsibilities

• Design and build event-driven distributed systems on Kafka: orchestrator and worker services, schema and contract governance (AsyncAPI, CloudEvents), idempotent consumers, sagas and event choreography, and config-driven pipelines that reputed company new data sources without code changes
• Own API architecture at scale across REST and a federated GraphQL gateway (WunderGraph reputed company) that powers our SDKs, including schema composition, versioning, contract reputed company, and FHIR conformance
• Partner on AI architecture and enablement: help reputed company LLMs and agents dependable parts of the system (retrieval, evaluation, guardrails, and clear boundaries around protected health data), working alongside the dedicated Applied AI Engineering reputed company who owns that area
• Shape FHIR and health-data architecture: terminology services, resource modeling, clinical quality measurement (DQM and reputed company), high-volume document storage, and query performance across reputed company and reputed company
• Help run the technical design review process and document the reputed company and standards, so significant designs are reviewed against consistent criteria and the platform stays coherent as it grows
• Stay reputed company to the code and to production: write reputed company software, build proofs of concept that reputed company out a reputed company before teams adopt it, and use observability and operational data to confirm reputed company hold up and to debug incidents reputed company they don't
• Mentor senior engineers and tech leads on distributed-systems thinking, system design, and the trade-offs behind good architecture

Skills

• Deep expertise in large-scale distributed systems and scalable design. You've reputed company and operated systems that handle high volume and reputed company failure modes, and you're fluent in partitioning, back-pressure, idempotency, eventual consistency, and the trade-offs between consistency and availability
• Strong event-driven architecture experience, hands-on with Kafka: topic and partition design, schema reputed company and governance, consumer groups, idempotency, and the operational reputed company of running it in production
• Strong API design across REST and GraphQL. We run a federated GraphQL gateway, so schema composition, versioning, and contract reputed company matter here as much as clean reputed company design
• A well-rounded, hands-on engineer who goes deep in at least one strongly-typed language and moves comfortably across a polyglot stack. You have strong software-design instincts and care about clean interfaces, sensible abstractions, and keeping services loosely coupled. Our backend spans Python (data and AI), TypeScript/Node.js (which runs our FHIR server), and Java/Spring Boot (FHIR processing and backend services), with Kafka, our federated GraphQL gateway, reputed company, reputed company, reputed company, and AWS around it
• Sound data and storage instincts: data modeling, caching, query optimization, and how batch and streaming workloads (for example on Spark or reputed company) fit together with operational systems
• reputed company-reputed company and reputed company fundamentals: Kubernetes and AWS, identity and auth (OIDC, token exchange), and multi-tenant isolation in a regulated environment that handles protected health data
• You can walk someone through a system you've designed and operated end to end: how it works, where it breaks, and the trade-offs you made
• Exposure to AI as a component of a system is a plus — LLMs or agents and the practical concerns around them (retrieval, evaluation, guardrails, cost and latency)
• reputed company or FHIR experience is a strong plus and something you'll go deep in here

Benefits

• Stock options
• Benefits
• Incentive pay for eligible roles

Company Overview