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Principal Python Engineer

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SeniorZdalnie·KrakówFull-time·B2B

#472555·Dodano 13 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

Python

Podsumowanie oferty

Join the Platform Architecture team building a healthcare data platform. Design and build distributed systems, APIs, and cloud-native solutions, contributing hands-on production code with Python, Kafka, AWS, and Kubernetes.

Wymagania

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 technologies such as 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.

Nice to have:

Experience with healthcare platforms, FHIR, HL7, EHR integrations, or healthcare interoperability.
Experience working with sensitive and regulated data (PHI/PII).
Knowledge of healthcare compliance and security standards.
Experience with Java/Spring Boot and/or TypeScript/Node.js.
Experience with federated GraphQL platforms.
Experience integrating LLMs or AI agents into production environments.
Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar.
Experience establishing engineering standards and platform patterns used across multiple teams.
Previous Staff or Principal-level engineering experience.

Obowiązki

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.

Benefity

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.
Collaborate with product, security, data, AI, and engineering stakeholders.
Combine architectural leadership with hands-on software development.
Work with modern technologies spanning data platforms, cloud infrastructure, APIs, and AI solutions.

Intellias

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