Intellias is looking for a Principal Python Engineer to join a healthcare technology initiative focused on building a modern, scalable platform for connected health data. You will work within the Platform Architecture team to solve complex challenges related to scalability, reliability, and interoperability in a cloud-native environment.
Key responsibilities
- Design and build large-scale distributed systems and event-driven architectures using Kafka.
- Define and govern REST and federated GraphQL APIs to support product development.
- Contribute directly to production code, prototypes, and reference implementations.
- Collaborate with AI engineering teams to integrate LLM and agent-based solutions into production systems.
- Drive architectural reviews and establish engineering standards across multiple teams.
Requirements
- 8+ years of software engineering experience with strong hands-on backend development in Python.
- Deep understanding of distributed systems, cloud-native architecture, and AWS.
- Experience with Kubernetes, containerized environments, and high-volume data systems.
- Strong knowledge of authentication, authorization, and security best practices.
- Excellent communication skills with the ability to influence technical decisions.
What we offer
- Opportunity to shape the core architecture of a modern healthcare technology platform.
- Work on challenging distributed systems and cloud-native engineering problems at scale.
- Influence architecture and engineering standards across multiple teams.
- Combine architectural leadership with hands-on software development.
- Work with modern technologies spanning data platforms, cloud infrastructure, and AI solutions.