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Master Thesis: Evaluate AI Agents & AIOps for DevOps Practices and Shift towards Platform Engineering
Platform Engineer
• On-site
• Internship
•
Göteborg, Sweden
A Master's thesis at the DevOps group of Volvo Autonomous Solutions, investigating in an industrial case study how AI Agents and AIOps can reshape DevOps practices and accelerate the move to Platform Engineering. The experimental environment is Octopus, an in-house workflow orchestration platform.
Responsibilities
- ▹Analyze how AI impacts the role and responsibilities of DevOps engineers
- ▹Identify which operational activities are suitable for AI-assisted execution
- ▹Determine which activities can be safely automated through autonomous AI agents
- ▹Define where human decision-making, accountability and oversight must remain mandatory
- ▹Examine the governance, reliability, security, compliance and operational requirements for AI-enabled platforms
- ▹Assess the skills, competencies and organizational capabilities required for future Platform Engineering teams
- ▹Produce an evidence-based adoption framework for a structured, low-risk introduction of AIOps and AI Agents
About the company
Volvo Autonomous Solutions is part of Volvo Group and accelerates the development, commercialization and sales of autonomous transport solutions for on- and off-road segments. Its DevOps group runs the Software Factory, providing source control, CI/CD pipelines, deployment automation, container platforms, infrastructure services, test orchestration and observability to development and verification teams.
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