(Senior) Software Engineer (m/f) 80–100% - Senior AWS & MLOps Engineer

Successful with AutoForm!

AutoForm offers software solutions for sheet metal forming and BiW assembly process. With over 500 employees dedicated to this field, AutoForm is recognized as the leading provider of software for product manufacturability, tool and material cost calculation, die face design and virtual stamping as well as BiW assembly process optimization. All of the Top 20 automotive OEMs and most of their suppliers have selected AutoForm as their software of choice. Besides its headquarters in Switzerland, AutoForm has offices in Germany, The Netherlands, France, Spain, Italy, Czech Republic, Sweden, USA, Mexico, Brazil, India, China, Japan and Korea.

To support the growth of our Software Development Department in Zürich, we are looking for a

(Senior) Software Engineer (m/f) 80–100%

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 AWS
• Develop and maintain deployment pipelines for AI-powered applications and services
• Support model training, serving, monitoring, and lifecycle management in production environments
• Design scalable cloud architectures for machine learning workloads
• Implement Infrastructure as Code using tools such as CDK, CloudFormation, or Terraform
• Operate and improve containerized environments using Kubernetes and related technologies
• Support AI and data engineering teams with platform services, tooling, and best practices
• Contribute to observability, reliability, security, and cost optimization initiatives
• Evaluate and integrate emerging AWS and MLOps technologies where appropriate
• Collaborate 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 sciences
• Strong hands-on experience with AWS in production environments
• Experience designing and operating cloud-native architectures
• Experience deploying and operating machine learning workloads in the cloud
• Strong understanding of MLOps principles and ML lifecycle management
• Experience with Infrastructure as Code (CDK, CloudFormation, Terraform, or similar)
• Experience with CI/CD pipelines and automation tooling
• Hands-on experience with Kubernetes and containerized workloads
• Experience with technologies such as SageMaker, Ray, PyTorch, OpenShift AI, Kubeflow, MLflow, or similar platforms is highly desirable
• Strong software engineering and automation mindset
• Strong communication skills and a collaborative mindset
• Fluent English required
• German is a plus

Our offer

• A challenging role in a respectful and global working environment
• Be part of a world-leading, high-end CAE software company
• Work on cutting-edge technologies in the automotive industry
• Professional development organization working on multiple projects, supported by AI-powered tools and dedicated service teams including Architecture and DevOps
• Opportunities for professional growth and continuous learning, including the chance to explore new challenges by changing teams or projects through our annual internal marketplace
• Excellent 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 with the reference 26/09/pts to Michelle Schuler, Human Resources Zurich. We are looking forward to receiving your application.

AutoForm Development GmbH Tel: +
Technoparkstrasse 1 - Careers
8005 Zürich
Switzerland

Processing of applicant’s personal data is based on our Data Privacy Policy.

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