Jaroslaw Kaminski
Hi, I’m Jaroslaw Kaminski, a results-driven backend architect and software engineer with extensive experience building scalable RESTful APIs and backend systems for fintech, geospatial analytics, enterprise software,…
About
Hi, I’m Jaroslaw Kaminski, a results-driven backend architect and software engineer with extensive experience building scalable RESTful APIs and backend systems for fintech, geospatial analytics, enterprise software, and e-commerce. I specialize in Node.js and TypeScript, with strong roots in PostgreSQL, MongoDB, and Redis, delivering high-performance, secure data handling and efficient database designs that integrate smoothly with frontend teams.
In cross-functional, Agile environments I drive robust architecture, implement secure auth and validation, and optimize CI/CD pipelines and cloud infrastructure (AWS/GCP). I continuously explore AI-enabled tech and geospatial tooling to push product capabilities while maintaining reliability under heavy load and evolving requirements.
- 10 years' experience
- Joined February 2026
Skills· 16
Languages
- AragoneseIntermediate
Industry experience
- Financial Services
- Software & Internet
- Professional Services
- Other
Work experience· 5 roles
Developed and maintained high-performance RESTful APIs using Node.js and Express.js for scalable fintech applications, focusing on secure data handling and optimized database interactions with PostgreSQL and Redis. Designed efficient database schemas and implemented complex data models in MongoDB and PostgreSQL to support high-throughput transactions and ensure data integrity across services and environments. Implemented authentication, authorization, and input validation mechanisms to secure API endpoints and comply with industry security standards, collaborating with frontend teams for seamless integration. Built and maintained background job pipelines using Redis and asynchronous task queues to handle high-load operations. Configured and optimized AWS infrastructure and CI/CD pipelines to automate deployment, monitor system performance, and ensure reliable delivery across environments. Participated in Agile ceremonies and code reviews to ensure quality and alignment with project goa
Developed scalable Node.js backend services for geospatial AI applications, processing satellite imagery and sensor data using Python, TensorFlow, and OpenCV. Designed and implemented RESTful APIs to serve processed geospatial data, with secure authentication and role-based access control. Optimized MongoDB and PostgreSQL structures for large geospatial datasets; implemented Redis caching and asynchronous processing to support real-time analytics. Built CI/CD pipelines using Docker and Kubernetes for scalable deployment. Collaborated with frontend teams to enable interactive geospatial visualizations. Applied system architecture principles and Agile/Scrum practices; explored new AI/backend technologies to improve workflows.
Built and maintained Node.js microservices and RESTful APIs for enterprise software platforms, integrating PostgreSQL and Redis for high-performance data access. Implemented TypeScript across backend services to improve code quality and maintainability. Optimized database queries and scalable schemas; implemented secure authentication and authorization. Developed and deployed containerized services with Docker and Kubernetes; supported CI/CD pipelines. Integrated background job processing for batch operations and asynchronous workflows to handle high load. Collaborated in Agile/Scrum with cross-functional teams for API design and reviews, ensuring backend scalability and reliability.
Education
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