API Architect designing SafelyYou’s healthcare data APIs, microservices, and streaming infrastructure. Owning external data platforms while advancing AI-enabled engineering and governance.
Responsibilities
Design, build, and operate scalable APIs, microservices, and backend platform infrastructure using Python and AWS
Own the architecture, continuous improvement, and lifecycle of the External Data API
Serve as the technical bridge between SafelyYou’s internal data systems and customers
Support and evolve data governance tooling, including registries and data dictionaries such as the Event Registry
Establish patterns and best practices for schema governance, versioning, documentation, and compatibility
Support and evolve internal APIs used to provide data-system information to applications built by SafelyYou engineers
Provide documentation, implementation examples, and support while enforcing best practices and driving adoption
Architect and implement streaming data pipelines and transition from batch processing to real-time streaming architectures
Draft and maintain Architecture Decision Records, API specifications, and system documentation
Improve developer workflow and experience by optimizing CI/CD pipelines and repository documentation
Introduce and leverage AI agent workflows to enhance engineering efficiency and track industry trends
Develop AI skills that third parties may use when interacting with SafelyYou APIs and data products
Collaborate with cross-functional teams to align technical strategy with business goals and support product launches and cross-team initiatives
Mentor team members, share technical expertise, and participate in on-call rotations
Hands-on implementation and support of the systems designed
Requirements
7+ years of professional experience in software, backend, or platform engineering, preferably in a startup environment
Deep expertise in designing, building, operating, and scaling RESTful APIs, web services, and distributed backend systems
Experience designing and implementing API gateways and management systems such as Kong Hybrid, Apigee, Gravitee, or similar systems
Strong opinions around authentication, routing, policy enforcement, observability, and deployment of API gateway solutions
Strong programming proficiency in Python, focused on clean, scalable, and maintainable backend code
Proven experience with streaming data architecture and technologies such as Kafka, AWS Kinesis, or Spark Streaming
Experience making architectural and cost trade-offs between batch streaming and synchronous processing
Solid understanding of cloud infrastructure, preferably AWS
Light DevOps practices, including containerization and deployment tools such as Kubernetes and Helm charts
Strong technical communication skills and a track record of writing ADRs, API specifications, and comprehensive architectural documentation
Experience managing CI/CD pipelines and improving developer environments
Hands-on experience with modern AI-assisted and agentic development workflows, including coding agents, MCP, AI pair programming, and LLM-powered research
Advanced proficiency with Infrastructure as Code tools, such as Terraform
Experience designing data models and architectures across ETL/ELT, warehouses, lakehouses, event-driven systems, and backend APIs
Strong foundations in data quality, reliability, governance, and scalability
Experience with electronic health records (EHR), healthcare interoperability standards such as HL7 and FHIR, and associated data privacy regulations such as HIPAA
Experience with remote work and distributed, async-first engineering teams
Candidates must be located in the United States or Canada
Benefits
A mission-driven company culture
Fully remote
Competitive salary & benefits
Fully paid employee premiums for Medical, Dental, and Vision
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