Backend Software Developer (C#)

Machine Learning Reply offers customized end-to-end Data Science solutions covering the entire project life cycle including strategy consulting, data architecture, infrastructure topics, and processing data with quality assurance using Machine Learning algorithms. The company has extensive expertise in Data Science across major industries of German HDAX companies and focuses on distributed open source and cloud technologies. It provides a program called Machine Learning Incubator to train future decision-makers, data scientists, and engineers.

• Degree in Computer Science, Engineering, or related field.
• 4+ years of backend software development experience.
• 2+ years in a Senior Engineer role.
• Proven hands-on experience working with AWS cloud services in production environments.
• Experience leading technical teams and driving delivery in complex projects.
• Strong understanding of microservices, distributed systems, and cloud-native architecture.
• Experience managing vendor transitions, system onboarding, or large-scale knowledge transfer initiatives is a strong advantage.
• Ability to work effectively in ambiguous environments and quickly gain ownership of existing systems.
• Strong communication and stakeholder management skills.
• Very good knowledge of English and Polish.
• Openness to visit office once a month.

• Lead backend development and technical delivery of a cloud-native microservices platform.
• Design, develop, and maintain scalable backend services using C# and .NET.
• Manage AWS-based infrastructure, including ECS, Lambda, Cognito, and supporting services.
• Participate in and coordinate vendor transition and knowledge transfer activities.
• Lead structured codebase handover sessions with the outgoing vendor.
• Own architecture documentation and knowledge transfer workshops.
• Ensure full understanding of all backend services, deployment pipelines, and infrastructure components.
• Develop and maintain Infrastructure as Code using Terraform.
• Build, optimize, and support ETL processes and data pipelines using Python.
• Maintain and improve CI/CD processes using GitHub Actions.
• Collaborate with stakeholders, architects, and development teams to deliver business requirements.
• Ensure platform reliability, security, performance, and maintainability.