We are looking for you, if you: are proficient in Python software engineering and familiar with 'Clean Coding' paradigms, have 5-year experience with building applications in Python and make them working on production environment, are good on technical alignment across the teams, have experience with Azure DevOps, possess excellent problem-solving skills, attention to detail, and the ability to work both independently and collaboratively, have excellent communication and teamwork skills, have been working with distributed software design using Cloud-based managed services (preferably GCP), have experience in building LLM-powered apps. English: B2You'll get extra points for: experience with high load API development and maintenance, ML Engineering experience, have an understanding and basic knowledge of containerization and microservices, have an understanding and basic knowledge of Terraform, GCP certifications, Master's degree in computer science. Your responsibilities: code/compute optimizations and testing (all kinds of tests), build application infrastructure on Google Cloud Platform with an IaC methodology, build CI/CD pipelines for developed application, take care of infrastructure/software security standards (preparing procedures and applying them) in line with common and ING standards, collaborate with data scientists in the squad. Information about the squad:ING Analytics is building high-scale GenAI solutions to unload and automate business processes workloads.The role naming convention in the global ING job architecture will be “Engineer III” or 'Engineer IV' depends on your experience.