Senior Python Software Engineer

Venture Up; München; Hybrid; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Venture Up in Munich is seeking a Senior Engineer to bridge data science and production, owning pricing and demand model deployment and the serving layer. You will build robust pipelines, ensure reliable data flow, and partner with data scientists, analysts, and engineers to turn prototypes into production-ready solutions.

You'll work in a hybrid setup with a globally distributed team, leveraging modern tooling, AI-native workflows, and best practices in monitoring and deployment to drive

Qualifikationen

• 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps.
• Strong hands-on Python, writing clean, production-quality code
• Experience with CI/CD, Docker, and infrastructure-as-code such as Terraform
• Familiarity with cloud platforms, AWS preferred, and deploying services into production
• Exposure to or interest in ML model deployment, tools like MLflow or SageMaker are a strong plus
• A proactive, hands-on mindset, someone who spots problems and drives solutions forward
• Genuine appetite for using cutting-edge LLM tools and agents to boost your own and the team's productivity

Aufgaben

• Bridge Data Science and Production: Take pricing and demand models from experimentation to live, reliable production systems.
• Build the Serving Layer: Design and maintain the APIs and infrastructure that deploy models into the real world.
• Own the Pipelines: Keep data flowing reliably from source to model to output, with monitoring and alerting built in from the start.
• Drive Operational Excellence: Implement automated testing, observability, and monitoring across the team's production systems.
• Work Cross-Functionally: Partner daily with Data Scientists, Analysts, and Engineering to turn prototypes into production-ready solutions.

Kenntnisse

Python

CI/CD

Docker

AWS

Terraform

Cloud platforms

Tools

MLflow

SageMaker

Jobbeschreibung

What You'll Do:

Bridge Data Science and Production: Take pricing and demand models from experimentation to live, reliable production systems.

Build the Serving Layer: Design and maintain the APIs and infrastructure that deploy models into the real world.

Own the Pipelines: Keep data flowing reliably from source to model to output, with monitoring and alerting built in from the start.

Drive Operational Excellence: Implement automated testing, observability, and monitoring across the team's production systems.

Work Cross-Functionally: Partner daily with Data Scientists, Analysts, and Engineering to turn prototypes into production-ready solutions.

The Team:

You'll join a small, newly formed team inside a much larger engineering organisation, with a clear mission: help drive smarter, data-driven pricing decisions across the business. It's a team that cares about impact, collaboration, and learning together, using modern tooling and genuine AI-native workflows day to day.

What They're Looking For:

• 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps


• Strong hands-on Python, writing clean, production-quality code


• Experience with CI/CD, Docker, and infrastructure-as-code such as Terraform


• Familiarity with cloud platforms, AWS preferred, and deploying services into production


• Exposure to or interest in ML model deployment, tools like MLflow or SageMaker are a strong plus


• A proactive, hands-on mindset, someone who spots problems and drives solutions forward


• Genuine appetite for using cutting-edge LLM tools and agents to boost your own and the team's productivity

What They Offer:

Competitive senior-level package and:

• Hybrid working with meaningful in-office collaboration time


• Flexibility to work from other locations internationally for part of the year


• Personal learning budget with a strong AI focus


• Gym discounts and travel perks


• Join a genuinely international team, working on products used at real global scale