Note: The job is a remote job and is open to candidates in USA. Bitcruit Solutions is hiring a Senior Cloud Engineer to build and operate a repeatable Azure Health Data Services FHIR platform and its event-driven subscription processor. The role focuses on Terraform infrastructure-as-code, Python-based event processing, observability, and validating the platform’s scalability across partners and environments.
Responsibilities
- Build the AHDS FHIR platform
- Stand up and configure the AHDS FHIR service, including identity, networking and access control
- Define API usage patterns and best practices that keep read and write latency low under partner load
- Configure and operate bulk $import for initial and recurring partner data loads fed by our Databricks pipelines, and own the handoff between the two
- Front the FHIR endpoint with Azure API Management (APIM) for auth, throttling, routing and partner-facing policy
- Build the FHIR Subscription processor
- Wire Azure Event Grid to AHDS FHIR events as the trigger for subscription processing
- Build Python Azure Functions that evaluate and process subscription events, using Storage Queues for buffering, retries and back-pressure
- Expose subscription output through Azure Service Bus as the contract other teams consume
- Design for idempotency, ordering and poison-message handling across the pipeline
- Own the infrastructure-as-code
- Write and review Terraform for every component above: AHDS, Functions, Storage, Event Grid, Service Bus and APIM
- Build reusable modules that deploy the full stack per environment (dev, test, prod) and per partner
- Set up CI/CD pipelines for plan, review and apply, with drift detection and safe promotion between environments
- Wire observability into every service: diagnostic settings, Application Insights, Log Analytics, dashboards and actionable alerts
- Shape the architecture
- Validate the scaling model for each partner: throughput, service limits, cost and tenancy isolation
- Document patterns and runbooks so other teams can build on the platform
Skills
- Production experience writing Python 3.11+, including Azure Functions or similar serverless workloads
- Strong hands-on Terraform experience: reusable modules, remote state, multienvironment deployments and CI/CD integration
- Deep knowledge ofAzure architecture patterns across Event Grid, Service Bus, Storage Queues, Functions and APIM, including their scaling limits and failure modes
- Experience designing event-driven systems with retries, dead-lettering and idempotent processing
- Experience building observability into cloud services: logging, metrics, tracing and alerting with Azure Monitor and Application Insights
- Ability to assess and defend a scaling model in terms of throughput, cost and isolation
- Strong understanding of the AHDS FHIR service: configuration, performance tuning, bulk $import and its service limits
- Working knowledge of HL7 FHIR R4, including search, Bundles and the Subscriptions framework
- Experience with healthcare data and its compliance requirements, such as HIPAA and handling PHI
- Experience running multi-tenant or per-partner platforms at scale
- Experience building Databricks Lakeflow Declarative Pipelines (formerly Delta Live Tables), which feed data into the AHDS platform
- Azure certifications such as AZ-305 orAZ-400
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