Senior Software Data Platform Engineer

We are makers and builders.
We challenge the status quo and have fun doing it.
We bring passion and purpose to making a difference in healthcare, elevating how care is delivered and experienced.

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 :

Lead proposals and hands‑on implementation of scalable, AI‑augmented data platform architecture — from streaming pipelines to predictive analytics at scale.

Design and maintain secure systems with encryption at rest and in transit, audit logging, access controls, and proactive observability — built for regulated healthcare environments.

Identify and eliminate bottlenecks across streaming pipelines, microservices, and data stores. Own performance and load testing for compute‑intensive paths.

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

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?

You are not like everybody else.

We are not like any other company.

We’d love to be part of your growth.