Senior Software Data Platform Engineer

O projekcie: 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 architectureLead proposals and hands-on implementation of scalable, AI-augmented data platform architecture — from streaming pipelines to predictive analytics at scale.- Privacy & complianceDesign and maintain secure systems with encryption at rest and in transit, audit logging, access controls, and proactive observability — built for regulated healthcare environments.- Performance engineeringIdentify and eliminate bottlenecks across streaming pipelines, microservices, and data stores. Own performance and load testing for compute-intensive paths.- Infrastructure as codeBuild and maintain cloud-native AWS infrastructure using IaC tooling. Design containerized, Kubernetes-native workloads with a focus on cost, reliability, and zero-downtime deployments. Wymagania: 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 Codzienne zadania: - 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