Senior Software Data Platform Engineer at Kontakt

About Kontakt.io [Upgrade to PRO to see link] Kontakt.io [Upgrade to PRO to see link] is building the platform that care operations run on. We reduce waste, cut costs, and improve throughput in hospitals by automating and orchestrating clinical workflows. Using AI, real-time location data (RTLS), and deep EHR integration, our platform enables care teams to operate with real-time intelligence and financial discipline. Trusted by leading U.S. health systems including HCA, Sutter Health, AdventHealth, Trinity Health, and the U.S. Department of Veterans Affairs — and backed by Goldman Sachs — we are scaling rapidly toward the next phase of durable, disciplined hypergrowth. Our Data Platform powers the Location Engine and predictive analytics pipelines — processing high-volume real-time IoT telemetry and transforming it into production-grade location intelligence for hospitals, clinics, and healthcare networks worldwide. We're looking for a Senior Engineer to own the architecture of this platform end-to-end. You'll lead AI-first design decisions, drive HIPAA-compliant infrastructure evolution, and set the engineering bar for a team that cares deeply about reliability, privacy, and performance at scale. What you will be working on : - Platform architecture Lead proposals and hands-on implementation of scalable, AI-augmented data platform architecture — from streaming pipelines to predictive analytics at scale. - Privacy & compliance Design and maintain secure systems with encryption at rest and in transit, audit logging, access controls, and proactive observability — built for regulated healthcare environments. - Performance engineering Identify and eliminate bottlenecks across streaming pipelines, microservices, and data stores. Own performance and load testing for compute-intensive paths. - Infrastructure as code Build and maintain cloud-native AWS infrastructure using IaC tooling. Design containerized, Kubernetes-native workloads with a focus on cost, reliability, and zero-downtime deployments. 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?