FHIR API Architect and Engineer - GCP

We are seeking a GCP FHIR API Architect and Engineer to design, develop, maintain, and support custom-built HL7 FHIR APIs on Google Cloud Platform. This role will focus on reading large-scale clinical data from Google Cloud Bigtable, transforming it into FHIR-compliant resources, and exposing it through high-performance, secure REST APIs for downstream consumers. This role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. This is a hands-on engineering role requiring deep experience in custom API development, healthcare data standards, and GCP-native services, with responsibility across the full API lifecycle—from design through production support. This role requires ‘self-starters’ who are proficient in API problem solving and capable of bringing clarity to complex situations. Due to the emerging and fast-evolving nature of GCP technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice. As an API Architect and Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. Responsibilities This role will provide API development for specific business environments. • Adheres to and supports data engineering API best practices, processes, and standards. • Produce high quality, modular, reusable code that incorporates best practices and serves as an example for less experienced engineers. • Build productive and healthy relationships within the department and other teams to foster growth of our culture, our people, and our platforms. • Works in an environment with rapidly changing business requirements and priorities • Shares knowledge and experience to contribute to growth of overall team capabilities. • Actively participate in technical group discussions and adopt any modern technologies to improve the development and operations. • Self-directed, hands-on engineer • Comfortable working in regulated healthcare environments • Strong communicator with both technical and business stakeholders Architecture & Design • Design custom FHIR API solutions on GCP. • Define scalable data access patterns for Cloud Bigtable API workloads. • Design FHIR resource mappings, profiles, and response structures. • Partner with platform, security, and data teams to align with enterprise standards. API & Application Development • Build custom RESTful FHIR APIs • Implement resource-level endpoints (e.g., Patient, Encounter, Observation) • Develop business logic for filtering, pagination, search parameters, and versioning. • Deploy APIs using Cloud Run, GKE, or App Engine • Implement caching and performance optimization strategies. Data Engineering • Read and optimize data retrieval from Google Cloud Bigtable • Transform source data into FHIR-compliant JSON responses. • Handle large volumes of clinical data with low latency. • Implement validation and error handling for FHIR payloads. Security & Compliance • Implement OAuth 2.0, IAM, and service-to-service authentication. • Ensure secure handling of PHI and HIPAA-regulated data. • Implement audit logging, encryption in transit and at rest. • Enforce API throttling, quotas, and access controls. DevOps, Maintenance & Support • Support CI/CD pipelines for API deployment and releases. • Monitor APIs using Cloud Monitoring and Cloud Logging • Troubleshoot production issues and perform root-cause analysis. • Optimize cost, performance, and reliability of API services. Required Skills & Experience • 10+ years of IT experience • 5+ years of hands-on experience in API development or data engineering • Strong experience building custom HL7 FHIR APIs • Proven experience working with Google Cloud Bigtable, Cloud Run, GKE, Cloud Functions • Strong understanding of FHIR resources and search semantics • Proficiency in Java, Python, or Scala • Experience with RESTful API design, pagination, filtering, and versioning • Experience with OAuth 2.0, API gateways, and IAM • Strong debugging and production support experience Qualifications • Bachelor’s degree in computer science or related discipline. Preferred / Nice-to-have • Experience in healthcare, payer, or provider environments • Experience with Docker and Kubernetes (GKE) • Experience defining custom FHIR profiles and extensions. • Prior experience supporting high-volume, consumer-facing APIs. • Hands-on experience with GCP platform and experience with many of the following components: • Spark Streaming, Kafka, Pub/Sub, BigQuery, Dataflow • Cloud Composer, DataProc, GitHub, CI/CD, Cloud Logging • RDBMS – MS SQL Server/Oracle/Teradata/Oracle • NoSQL, HBase, Cassandra, MongoDB, In-memory, Columnar, other emerging technologies • GCP Cloud Professional Data Engineer