Senior Software Data Platform Engineer

About Kontakt.io http://Kontakt.io

Kontakt.io http://Kontakt.io 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?