Senior Software Engineer (Python)

We are looking for an experienced Senior Software Engineer (Python) to join a team building backend systems for large-scale data processing and intelligent, data-driven products. This role focuses on designing reliable, scalable services that enable Data Science and Machine Learning solutions to run efficiently in production environments. You will work closely with engineers, data scientists, and product stakeholders to transform complex data workflows into robust, production-ready systems. What we offer: CoE (UoP) – up to 32,000 PLN gross per month Hybrid work / 2-3 days a week in the office in Gdańsk Equipment provided Annual bonus $ Private medical care Multisport card Group insurance Wellbeing platform Qualifications: - 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 Nice to have: - Interest in or exposure to Machine Learning, Generative AI, or agent-based systems - Background in high-volume or data-heavy backend architectures - Experience with additional programming languages such as Go or .NET Responsibilities: - 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