Senior AI‑First Data Platform Engineer — Healthcare

Kontakt Micro-Location Sp. Z.o.o.; Kraków; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Hybrid work model (Krakow office — 2–3

Private medical care

Job summary

You’ll lead scalable streaming and analytics pipelines, collaborate across teams, and build with Kubernetes, AWS, and IaC tooling to deliver real-time location data for hospitals, clinics, and healthcare networks worldwide.

Qualifications

• 6+ years of software engineering experience with distributed systems at scale.
• Experience leading architecture proposals and production delivery.
• Strong Kubernetes skills.
• Experience with Spring Boot or a comparable JVM microservices framework.
• Hands-on AWS experience including infrastructure as code (Terraform, CDK, or equivalent).
• Solid CI/CD, test automation, and version control best practices.
• Demonstrated use of AI coding tools in daily workflows (Claude, GitHub Copilot, or equivalent).
• Strong written and verbal communication in English.

Responsibilities

• Architect and implement streaming & batch data pipelines handling high‑volume real‑time location telemetry and predictive analytics workloads.
• Apply and champion AI‑first engineering practices — from Claude and Copilot‑assisted development and code review to LLM‑augmented observability and automated testing workflows.
• Define and evolve data models across PostgreSQL and other relational or columnar stores.
• Build and maintain event‑driven systems using Kafka and Kafka Streams.
• Ensure low‑latency, high‑availability workloads running in Kubernetes.
• Integrate with third‑party and custom in‑house hospital systems — including proprietary location prediction engines, patient flow platforms, and clinical data feeds — via REST APIs, Webhooks, and event‑based architectures.
• Contribute to architectural decisions impacting scalability, resilience, and platform evolution.
• Write performance and load tests for compute‑heavy services.
• Maintain and improve CI/CD workflows for reliable production deployments.
• Participate in 24/7 on‑call rotation for platform reliability.
• Can independently design and implement scalable data processing systems.
• Understands problems from a product and system architecture perspective.
• Proposes pragmatic, high‑impact solutions and executes them end‑to‑end.
• Thinks in terms of performance, reliability, observability, and cost‑efficiency.

Skills

Kubernetes

Spring Boot

AWS

CI/CD

AI coding tools

Distributed systems

Architecture leadership

Tools

Terraform

CDK

Kafka

Job description

You’ll lead scalable streaming and analytics pipelines, collaborate across teams, and build with Kubernetes, AWS, and IaC tooling to deliver real-time location data for hospitals, clinics, and healthcare networks worldwide.