DevOps Engineer

GlobalLogic Sweden AB · Göteborg · Tills vidare · Deadline 2026-10-30

GlobalLogic Sweden AB is seeking a **DevOps Engineer** to join its Automotive department, supporting Tier 1 suppliers and OEMs across Europe and the USA. The project focuses on developing cutting-edge computer-in-the-car architectures for advanced connectivity, machine learning, and autonomous driving. Responsibilities center on **setting up infrastructure from scratch**, which includes creating, configuring, and automating end-to-end software build, integration, and continuous deployment (CI/CD) pipelines using tools like Zuul CI and Jenkins. Duties also involve gathering CI requirements, collaborating closely with development and IT teams in agile setups, and developing an ISO 26262-qualified toolchain for flows extending from Matlab/Simulink to binary. Candidates must hold a **technical engineering degree**, preferably in software or systems engineering. Essential requirements include hands-on experience with Azure (preferably) or AWS, solid expertise in Infrastructure-as-Code, PaaS, and IaaS, alongside automation tools such as Git, Gerrit, Terraform, and Ansible. Applicants need mid-level TCP/IP network configuration skills, basic scripting abilities in PowerShell, Bash, Groovy, or Python, and knowledge of object-oriented programming alongside Scrum, Scaled Agile, or Kanban workflows. Prior experience in embedded automotive development, C programming, MIL/HIL testing, and familiarity with standards like ISO 26262 or ASPICE are advantageous.

GlobalLogic’s Automotive department is looking for DevOps Engineer. The goal of our project is to optimize and enhance our Automotive Solution with new features. Our clients include Tier 1 suppliers and OEMs from Europe and the USA, and our development efforts focus on automotive solutions that will be integrated into the latest car models.

In this project, we are developing a cutting-edge computer-in-the-car architecture, which is crucial for driving innovation in areas such as advanced connectivity, machine learning, and autonomous driving. We face the exciting challenge of setting up infrastructure from scratch to support automotive solutions for European car manufacturers.

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