Senior Software Data Platform Engineer

About Kontakt.io

Every day, intelligent software orchestrates the physical world around us – from matching drivers with riders to optimizing global supply chains. Yet inside hospitals, where every second and every decision can affect a patient's life, operations are still spread across dozens of disconnected systems.

At Kontakt.io, we're changing that. By combining proprietary hardware, AI-powered intelligence, and deep integrations with the systems hospitals already rely on, we're creating a real-time understanding of hospital operations that software alone can't deliver. That intelligence powers the execution layer hospitals have been missing – helping care teams make smarter decisions and deliver better patient care.

Backed by Goldman Sachs and trusted by leading health systems including HCA Healthcare, Sutter Health, AdventHealth, Trinity Health, Northwell Health, Cleveland Clinic, and the U.S. Department of Veterans Affairs, we're pioneering the next generation of healthcare operations. We've more than doubled our revenue over the past year and are on track to surpass $70M in annual recurring revenue – not because we're following a market, but because we're defining one.

If you're excited to solve hard problems, work with a team of builders, and help hospitals deliver better care every day, we'd love to meet you!

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?