Summary
✨ AI‑Generated
A senior software and platform engineering role dedicated to building and operating cloud-native AI and MLOps infrastructure. You will design scalable machine-learning environments, maintain deployment pipelines, support model training and serving, and implement infrastructure automation for production workloads.
Highlights
Senior engineering opportunity focused on production-grade AI platforms and scalable cloud infrastructure, with ownership across deployment, model serving, monitoring, lifecycle management, and infrastructure automation.
Description
Senior AWS & MLOps Engineer
AutoForm is building a next-generation Application Platform to support and scale innovative AI-powered cloud applications.
To strengthen our cloud and AI platform capabilities, we are looking for an experienced engineer with deep practical expertise in Amazon Web Services (AWS) and modern MLOps platforms.
This is not a data science role.
We are looking for a software and platform engineer who enjoys building and operating cloud infrastructure, AI platforms, and production-grade machine learning environments.
Your tasks
As a Senior AWS & MLOps Engineer, You Will
Design, implement, and operate cloud-native AI and MLOps infrastructure on AWSDevelop and maintain deployment pipelines for AI-powered applications and servicesSupport model training, serving, monitoring, and lifecycle management in production environmentsDesign scalable cloud architectures for machine learning workloadsImplement Infrastructure as Code using tools such as CDK, CloudFormation, or TerraformOperate and improve containerized environments using Kubernetes and related technologiesSupport AI and data engineering teams with platform services, tooling, and best practicesContribute to observability, reliability, security, and cost optimization initiativesEvaluate and integrate emerging AWS and MLOps technologies where appropriateCollaborate closely with product teams and platform colleagues in a SCRUM-based setup
Your profile
We’re looking for someone with the following background and mindset:
Degree in computer science, engineering, or natural sciencesStrong hands-on experience with AWS in production environmentsExperience designing and operating cloud-native architecturesExperience deploying and operating machine learning workloads in the cloudStrong understanding of MLOps principles and ML lifecycle managementExperience with Infrastructure as Code (CDK, CloudFormation, Terraform, or similar)Experience with CI/CD pipelines and automation toolingHands-on experience with Kubernetes and containerized workloadsExperience with technologies such as SageMaker, Ray, PyTorch, OpenShift AI, Kubeflow, MLflow, or similar platforms is highly desirableStrong software engineering and automation mindsetStrong communication skills and a collaborative mindsetFluent English requiredGerman is a plus
Our offer
A challenging role in a respectful and global working environmentBe part of a world-leading, high-end CAE software companyWork on cutting-edge technologies in the automotive industryProfessional development organization working on multiple projects, supported by AI-powered tools and dedicated service teams including Architecture and DevOpsOpportunities for professional growth and continuous learning, including the chance to explore new challenges by changing teams or projects through our annual internal marketplaceExcellent work-life balance with flexible home office and working hours, complemented by a variety of sports activities and company events to support your well-being
Start of work is 1st September 2026.
Please note that we only consider applicants that have the legal right to work in Switzerland.
We will only consider direct applications.
Please send your CV and attachments.
We are looking forward to receiving your application.
Processing of applicant’s personal data is based on our Data Privacy Policy.
