Informacje o stanowisku

technologies-expected :

• Python
• Kafka
• Docker
• Kubernetes
• AWS

• Go
• .NET

• Building backend systems for large-scale data processing and intelligent, data-driven products.
• Designing reliable, scalable services that enable Data Science and Machine Learning solutions to run efficiently in production environments.
• Transform complex data workflows into robust, production-ready systems.

• Design and implement backend APIs and services for data processing and ML-driven systems
• Develop cloud-native microservices using modern DevOps and CI/CD practices
• Build and operate event-driven and streaming architectures for data-intensive workloads
• Optimize data pipelines, model-serving, and inference systems, including GPU-based workloads
• Ensure high standards for reliability, scalability, observability, and cost efficiency
• Participate in the full service lifecycle: architecture, development, deployment, monitoring, and continuous improvement

• 4+ years of hands-on experience developing and running production backend systems
• Strong background in Python and experience building API-based services
• Practical knowledge of message queues or streaming platforms (e.g. Kafka)
• Solid understanding of containerization and orchestration (Docker, Kubernetes)
• Experience working with Linux-based systems
• Familiarity with cloud platforms, ideally AWS (compute, networking, storage, monitoring)
• Experience with CI/CD pipelines, automated testing, logging, and observability
• Ability to collaborate effectively across engineering, data, and product teams
• English level min. B2

• Equipment provided
• Annual bonus

• sharing the costs of sports activities
• private medical care
• life insurance
• extra social benefits

Gdańsk - Oferty pracy w okolicznych lokalizacjach