Senior Software Engineer

Trust In SODA; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Trust In SODA in Munich is seeking a Senior Software Engineer to help build and scale the platforms, services, and tooling that enable AI teams to train, benchmark, and deploy next-generation models. You will own backend services, run a fleet of data collection systems, and create tools to monitor 100+ distributed stations, driving reliability and developer experience.

The role requires 5+ years building production web services, solid SQL skills, and hands-on Docker/Kubernetes experience, with

Qualifikationen

• 5+ years of experience building and operating production web services.
• Solid understanding of SQL databases.
• Hands-on experience with Docker and Kubernetes.
• Someone comfortable working across multiple systems and solving ambiguous technical challenges.
• Terraform, Ansible or other Infrastructure as Code tools.

Aufgaben

• Building and operating backend services that support AI model training and evaluation.
• Developing software that powers a fleet of autonomous data collection systems.
• Creating tools to manage and monitor 100+ distributed stations.
• Owning systems end-to-end from architecture and development through to deployment and production operations.
• Working closely with AI/ML engineers and cross-functional teams to solve complex real-world challenges.
• Improving scalability, reliability, observability, and developer experience as systems grow.

Kenntnisse

Production web services

SQL databases

Tools

Docker

Kubernetes

Terraform

Ansible

Jobbeschreibung

I'm currently working with a highly innovative AI company building the infrastructure behind large-scale machine learning systems and advanced data collection operations.

They're looking for a Senior Software Engineer to help build and scale the platforms, services, and tooling that enable AI teams to train, benchmark, and deploy next-generation models.

What You'll Be Doing

• Building and operating backend services that support AI model training and evaluation
• Developing software that powers a fleet of autonomous data collection systems
• Creating tools to manage and monitor 100+ distributed stations
• Owning systems end-to-end from architecture and development through to deployment and production operations
• Working closely with AI/ML engineers and cross-functional teams to solve complex real-world challenges
• Improving scalability, reliability, observability, and developer experience as systems grow

What They're Looking For

• 5+ years of experience building and operating production web services
• Solid understanding of SQL databases
• Hands-on experience with Docker and Kubernetes
• Someone comfortable working across multiple systems and solving ambiguous technical challenges
• Terraform, Ansible or other Infrastructure as Code tools

Why This Opportunity?

This role sits at the intersection of AI, backend engineering, cloud infrastructure, and real-world data collection systems. You'll have genuine ownership, significant technical impact, and the chance to work on complex challenges that directly influence how cutting-edge AI models are built and improved.