Platform Architect (Healthcare solution)

Intellias is building a next-generation healthcare data platform designed to connect healthcare providers, applications, devices, and digital services into a unified ecosystem. The platform integrates data from EHR systems, patient portals, digital health applications, wearables, and additional healthcare sources using modern interoperability standards and cloud-native technologies.

As a Platform Architect, you will work across multiple engineering teams to design and build platform capabilities that enable scalability, reliability, security, and rapid product development. This is a hands-on engineering role combining architecture, technical leadership, and implementation.

Quick Facts

• Staff-level technical influence across multiple engineering teams
• Hands-on architecture ownership and engineering implementation
• Healthcare interoperability and large-scale cloud-native data ecosystems
• AI-enabled platform initiatives

Responsibilities

• Design and build large-scale distributed systems and platform services.
• Drive architecture and implementation of event-driven systems using Kafka.
• Define scalable patterns for asynchronous processing, orchestration, and messaging.
• Design and evolve REST and federated GraphQL architectures.
• Establish standards for API governance, schema evolution, versioning, and service integration.
• Build reusable platform components and reference implementations.
• Contribute directly to production code and technical prototypes.
• Design healthcare data architecture supporting FHIR-based interoperability.
• Define patterns for security, identity, authorization, and multi-tenancy.
• Drive architecture reviews and technical decision-making across teams.
• Use observability and production telemetry to improve platform reliability.
• Collaborate with engineering, product, data, AI, and security stakeholders.
• Mentor senior engineers and technical leads.

Requirements

Must Have

• 8+ years of software engineering experience.
• Strong hands-on backend development experience in Python and/or other modern backend languages.
• Proven experience designing and operating large-scale distributed systems.
• Strong experience with event-driven architectures and Apache Kafka.
• Deep understanding of distributed systems, eventual consistency, partitioning, idempotency, back-pressure, failure recovery, and consistency versus availability trade-offs.
• Experience designing and evolving REST APIs and GraphQL architectures.
• Strong AWS and Kubernetes experience.
• Expertise in cloud-native architectures and production operations.
• Strong data architecture and data modeling experience.
• Experience with modern data platforms such as MongoDB, ClickHouse, Spark, Databricks, or similar technologies.
• Good understanding of OAuth, OIDC, token exchange, authorization, and multi-tenancy.
• Strong communication and technical leadership skills.
• Professional English for collaboration with US-based stakeholders.

Nice to Have

• FHIR, HL7, and EHR integration experience.
• Healthcare interoperability experience.
• Experience working with PHI/PII and regulated environments.
• HIPAA-related architectural knowledge.
• Java/Spring Boot.
• TypeScript/Node.js.
• Apollo Federation, WunderGraph Cosmo, or similar solutions.
• Experience integrating AI/LLM capabilities into production platforms.
• Experience with GitHub Copilot, Cursor, Claude Code, or similar AI-assisted engineering tools.
• Previous Staff or Principal Engineer experience.
• Experience building internal developer platforms and reusable engineering frameworks.

What You'll Gain

• Opportunity to shape the core architecture of a modern healthcare platform.
• Staff-level technical influence across multiple engineering teams.
• Exposure to large-scale distributed systems and cloud-native technologies.
• Work with healthcare interoperability standards and complex data ecosystems.
• Participation in cutting-edge AI-enabled platform initiatives.
• Opportunity to combine architecture ownership with hands-on engineering.

Help build the foundation of a modern healthcare ecosystem that connects patients, providers, data, and intelligent digital services at scale.