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LeadFull-timePythonJavaRustSpringAWSKubernetesDockerPostgreSQLMongoDBREST API
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Platform Engineer to join our team at Kontakt.io. This role focuses on building and maintaining high-performance, reliable data systems at scale for healthcare and IoT environments.
Key Responsibilities
- →Design, build, and optimize data pipelines (streaming & batch)
- →Develop high-throughput microservices handling real-time location data
- →Define and evolve data models across MongoDB and PostgreSQL
- →Build and maintain event-driven systems using Kafka and Kafka Streams
- →Ensure low-latency, high-availability compute workloads running in Kubernetes
- →Establish integrations with third-party systems via REST APIs, WSS streams, 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
- →Drive engineering best practices (code reviews, testability, observability, documentation)
- →Propose improvements aligned with modern security and distributed systems best practices
- →Participate in 24/7 on-call rotation for platform reliability
Requirements
- ✓6+ years of software engineering experience
- ✓Proven experience building highly scalable, distributed systems
- ✓Strong Kafka and event-driven architecture experience
- ✓Strong microservices architecture experience
- ✓Deep knowledge of Spring ecosystem (Spring Boot, Spring Data, etc.)
- ✓Experience designing streaming data pipelines
- ✓Hands-on experience deploying and operating services in AWS
- ✓Strong understanding of containerization and Kubernetes
- ✓Solid understanding of CI/CD, test automation, and version control best practices
- ✓Strong communication skills (English required)
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