
Posted 18 days ago
Cloud Platform & DevOps Engineer
AI Summary
Deploys, operates and secures an AWS-based Virtual Engineering Workbench that provides on-demand cloud development environments for automotive engineers, integrating toolchains, identity, licensing and CI/CD pipelines.
About this role
We are looking for an experienced Cloud Platform & DevOps Engineer to join an exciting assignment within the automotive industry. You will play a key role in developing, operating, and securing an AWS-based engineering platform that enables engineers to access cloud-based development environments on demand.
This hands-on role combines AWS infrastructure, DevOps, security, and automation, with the opportunity to work closely with engineering teams and advanced automotive development tools.
The Assignment
Role: Cloud Platform & DevOps Engineer
Target start date: ASAP
Expected end date: 6 månader; med chans till förlängning.
Engagement: 100%
Work Description
We are looking for a Cloud Platform & DevOps Engineer with 5+ years of experience to own the infrastructure, security and automation of our AWS Virtual Engineering Workbench (VEW). VEW is a serverless self-service platform that lets our engineers launch secure, cloud-based development environments on demand.
You will run and extend it, and work with our engineering teams to bring automotive toolchains such as MATLAB/Simulink, AUTOSAR tooling, compilers and simulators into the cloud.
Prior experience with VEW itself is not required. We are looking for strong hands-on experience with the AWS services it is built on.
What You Will Do
Deploy, operate and evolve the VEW backend using infrastructure as code
Maintain the self-service catalog of virtual workstations (Amazon DCV) and engineering environments
Automate the AMI lifecycle for engineering toolchains
Integrate VEW with identity (Microsoft Entra ID), license servers and code repositories
Build CI/CD pipelines for the platform and for the teams that use it
Work with our platform engineers to manage floating licenses for specialized tools
Must Have
5+ years building and operating production workloads on AWS
Infrastructure as code: AWS CDK, Terraform or similar
Serverless on AWS: Lambda, API Gateway, DynamoDB, Step Functions, EventBridge
Python
AWS multi-account setup and security: Organizations, IAM, cross-account access, VPC networking
Identity federation with Amazon Cognito and an enterprise identity provider (Entra ID / Active Directory)
AWS Service Catalog and EC2 Image Builder (or Packer)
CI/CD with GitHub Actions or AWS CodePipeline
Nice to Have
Hands-on experience with AWS Virtual Engineering Workbench
Automotive industry background
Packaging R&D toolchains (MATLAB/Simulink, AUTOSAR, cross-compilers) into AMIs or containers
FlexNet/FlexLM or other floating-license server administration
SIL test pipelines, and connecting cloud pipelines to HIL rigs
Virtual ECUs, vehicle environment models, or MBSE tooling
Amazon DCV, Windows and Linux image hardening
What We Need From You
CV(s) of your proposed candidate(s)
Confirmed hourly rate (SEK, ex VAT)
Earliest availability and engagement %
A short note on relevant assignments and any context you think is useful
Submission deadline: 2026-10-24
Skills
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