Original listing text, shown exactly as published by the company.
Day to Day 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
What We Are Looking For
- 6+ years of software engineering experience with distributed systems at scale
- Proven experience leading architecture proposals and driving them to production
- Deep Kafka expertise — Kafka Streams, event-driven architecture design, high-throughput pipeline operation
- Strong Kubernetes skills — deploying, operating, and optimizing containerized workloads in production
- 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
Nice To Have
- Working knowledge of HIPAA compliance requirements in software systems
- AWS EMR experience (Spark, Flink, or large-scale batch compute)
- Experience integrating with EHR systems (Epic, Cerner, HL7/FHIR)
- Background in healthcare IoT or real-time location systems
We offer
- Fast-paced, dynamic startup environment with flat structure
- Competitive salary and stock option plan
- Work on cutting-edge healthcare IoT and AI-augmented location intelligence
- Hybrid work model (Krakow office — 2–3 days per week onsite)
- Collaborative, self-organized engineering culture
- Private medical care and cafeteria system
Ready to Build the Future of Healthcare?
