Senior AWS & MLOps Engineer - Cloud AI Platform

ppbSuccessful with AutoForm! /b /p pAutoForm 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. /p pTo support the growth of our bSoftware Development Department /binb Zürich /b, we are looking for a /p pb(Senior) Software Engineer (m/f) 80-100% /b /p pbSenior AWS MLOps Engineer /b /p pAutoForm 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. /p pThis 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. /p h3Your tasks /h3 ul liAs a Senior AWS MLOps Engineer, you will: /li liDesign, implement, and operate cloud-native AI and MLOps infrastructure on AWS /li liDevelop and maintain deployment pipelines for AI-powered applications and services /li liSupport model training, serving, monitoring, and lifecycle management in production environments /li liDesign scalable cloud architectures for machine learning workloads /li liImplement Infrastructure as Code using tools such as CDK, CloudFormation, or Terraform /li liOperate and improve containerized environments using Kubernetes and related technologies /li liSupport AI and data engineering teams with platform services, tooling, and best practices /li liContribute to observability, reliability, security, and cost optimization initiatives /li liEvaluate and integrate emerging AWS and MLOps technologies where appropriate /li liCollaborate closely with product teams and platform colleagues in a SCRUM-based setup /li /ul h3Your profile /h3 ul liWe’re looking for someone with the following background and mindset: /li liDegree in computer science, engineering, or natural sciences /li liStrong hands-on experience with AWS in production environments /li liExperience designing and operating cloud-native architectures /li liExperience deploying and operating machine learning workloads in the cloud /li liStrong understanding of MLOps principles and ML lifecycle management /li liExperience with Infrastructure as Code (CDK, CloudFormation, Terraform, or similar) /li liExperience with CI/CD pipelines and automation tooling /li liHands-on experience with Kubernetes and containerized workloads /li liExperience with technologies such as SageMaker, Ray, PyTorch, OpenShift AI, Kubeflow, MLflow, or similar platforms is highly desirable /li liStrong software engineering and automation mindset /li liStrong communication skills and a collaborative mindset /li liFluent English required /li liGerman is a plus /li /ul h3Our offer /h3 ul liA challenging role in a respectful and global working environment /li liBe part of a world-leading, high-end CAE software company /li liWork on cutting-edge technologies in the automotive industry /li liProfessional development organization working on multiple projects, supported by AI-powered tools and dedicated service teams including Architecture and DevOps /li liOpportunities for professional growth and continuous learning, including the chance to explore new challenges by changing teams or projects through our annual internal marketplace /li liExcellent 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 /li /ul pStart of work is 1st September 2026. /p pPlease note that we only consider applicants that have the legal right to work in Switzerland. /p pAutoForm Development GmbH Tel: + br/Technoparkstrasse 1 - Careersbr/8005 Zürichbr/Switzerland /p pProcessing of applicant's personal data is based on our bData Privacy Policy /b. /p /p