Software Engineer (Python/Cloud & AI Projects) | f/m/d

Quick Facts

• Role: Software Engineer (Python, Cloud, Azure)

Description

As a Software Engineer specializing in Python and Cloud technologies, you will develop and deploy robust backend infrastructure for AI solutions within the Azure ecosystem. You will collaborate with Data Scientists, AI Engineers, and DevOps to build scalable, secure, high-performing foundations that integrate AI capabilities into business applications.

Responsibilities

• Build and maintain scalable APIs and microservices in Python to serve data and AI/ML-based solutions to customers
• Design, develop, and deploy backend applications and infrastructure using Azure services
• Streamline model operationalization and build infrastructure for fast and reliable model inference
• Write and maintain unit tests to ensure robust test coverage; enforce Python coding best practices (clean code, maintainability, performance optimization)
• Work closely with Data Scientists and AI Engineers to bridge model creation and production-ready enterprise solutions
• Ensure solutions adhere to security, development, and governance standards
• Create clear, concise technical documentation for developed components
• Deliver high-quality applications in Agile/Scrum teams on schedule

Requirements

• Fluency in English
• Deep expertise in Python code development with strict clean code practices, design patterns, and industry standards
• Hands-on experience with the Azure cloud platform and its core compute, networking, and storage services (e.g., Azure Blob Storage, Azure Data Factory)
• Proven extensive experience developing, securing, and maintaining RESTful APIs and microservices
• Familiarity with Docker, Kubernetes, and Azure Kubernetes Service (AKS)
• Solid understanding of CI/CD pipelines and DevOps best practices within the Azure DevOps environment
• Ability to thrive in an agile environment and work effectively with multidisciplinary teams

Technology we use

• Core: Python, Docker, Kubernetes/AKS
• Cloud & infrastructure: Azure ecosystem, Azure DevOps, Azure Blob Storage, Azure Data Factory
• AI/ML (preferred): Azure OpenAI, Azure Machine Learning, Cognitive Services, Databricks

Benefits

• Medical package, sports card, and sports sections
• Flexible working hours, confidential employee assistant program, and remote working possibility
• Workshops and training courses; hackathons and meetups; digital learning platforms and language courses
• CSR activities
• Company-wide bike races, soccer matches, film marathons, and team-building activities
• Diversity and inclusion: valuing team members regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity