Senior Python Platform Architect – Healthcare Data Systems

Intellias; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Intellias is seeking an experienced Platform Architect to design and implement large-scale distributed systems for a healthcare data platform. You will drive Kafka-based architecture, REST/GraphQL API governance, and cloud-native patterns while collaborating with AI teams to integrate LLMs and agents into production.

The role combines hands-on coding with architectural leadership across multiple teams, shaping data interoperability and secure, scalable platform solutions.

Qualifications

• Must have 8+ years of software engineering experience.
• Strong hands-on backend development experience with Python.
• Deep understanding of distributed systems and large-scale platform architectures.
• Experience designing and implementing event-driven architectures using Kafka or similar technologies.
• Strong expertise in REST API and GraphQL architecture.
• Experience designing, building, and operating production-grade systems.
• Strong AWS and cloud-native architecture experience.
• Experience with Kubernetes and containerized environments.
• Strong understanding of data architecture, data modeling, and high-volume systems.
• Hands-on experience with MongoDB, ClickHouse, Databricks, Spark, or similar.
• Knowledge of authentication, authorization, OAuth, OIDC, multi-tenancy, and security best practices.
• Excellent communication skills and ability to influence technical decisions across multiple teams.
• Strong hands-on engineering mindset.
• Professional English communication skills.

Responsibilities

• Design and build large-scale distributed systems and event-driven architectures.
• Define and evolve Kafka-based platform architecture, including topic design, schema governance, reliability patterns, and failure recovery strategies.
• Design and govern REST and federated GraphQL APIs.
• Build reusable platform capabilities that accelerate product development across engineering teams.
• Contribute directly to production code, prototypes, proofs of concept, and reference implementations.
• Collaborate with AI engineering teams to integrate LLM and agent-based solutions into production systems.
• Shape healthcare data architecture, interoperability standards, and large-scale data processing solutions.
• Drive architectural reviews, technical decision-making, and engineering standards.
• Design secure, scalable, and resilient cloud-native solutions.
• Mentor senior engineers and technical leaders across multiple teams.

Skills

Distributed systems

Python Backend

Kafka

REST API

GraphQL

AWS

Kubernetes

Security best practices

Tools

MongoDB

ClickHouse

Databricks

Spark

Job description

Intellias is seeking an experienced Platform Architect to design and implement large-scale distributed systems for a healthcare data platform. You will drive Kafka-based architecture, REST/GraphQL API governance, and cloud-native patterns while collaborating with AI teams to integrate LLMs and agents into production.

The role combines hands-on coding with architectural leadership across multiple teams, shaping data interoperability and secure, scalable platform solutions.