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.

Your 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

  • consistency vs 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

  • similar technologies

• Good understanding of:

  • OAuth

  • OIDC

  • token exchange

  • authorization

  • multi-tenancy

• Strong communication and technical leadership skills

• Professional English for collaboration with US-based stakeholders

Nice to Have

• FHIR, HL7, EHR integrations

• 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

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