Senior Software Developer Python @ Siemens

We are looking for: Senior Software Developer Python,

Youll make an impact by:

• Write high-quality, testable, and maintainable Python code using object-oriented programming (OOP), SOLID principles, and design patterns.
• Develop RESTful APIs and backend services for AI/ML model serving using FastAPI.
• Collaborate with AI/ML engineers to integrate and deploy Machine Learning, Deep Learning, and Generative AI models into production environments.
• Contribute to software architecture and design discussions to ensure scalable and efficient solutions.
• Implement CI/CD pipelines and adhere to DevOps best practices for reliable and repeatable deployments.
• Design for observability, incorporating structured logging, performance monitoring, and alerting mechanisms.
• Optimize code and system performance, ensuring reliability and robustness at scale.
• Participate in code reviews, promote clean code practices, and mentor junior developers when needed.

Use your skills to move the world forward!

• Bachelors or Masters degree in Computer Science, IT, or a related field.
• 5+ years of hands-on experience in software development, with a focus on Python.
• Deep understanding of OOP concepts, software architecture, and design patterns.
• Experience with backend web frameworks, preferably FastAPI.
• Familiarity with integrating ML/DL models into software solutions.
• Practical experience with CI/CD, containerization (Docker), and version control systems (Git).
• Exposure to MLOps practices and tools for model deployment and monitoring.
• Strong collaboration and communication skills in cross-functional engineering teams.
• Familiarity with cloud platforms like AWS (e.g., Sagemaker, Bedrock) or Azure (e.g., ML Studio, OpenAI Service).
• Experience in Rust is a strong plus.
• Experience working on high-performance, scalable backend systems.
• Exposure to logging/monitoring stacks like Prometheus, Grafana, ELK, or Open Telemetry.
• Understanding of data engineering concepts, ETL pipelines, and processing large datasets.
• Background or interest in the Power and Energy domain is a plus.