AI & SRE Engineer – 24/7 Cloud & AI Workflows

Nordea; København; Híbrido; DKK 700 000 - 1 050 000; Tempo integral

Resumo da oferta

Nordea invites you to join Group Technology as an AI Specialist/SRE focused on cloud operations, AI workflows, and observability. You will help modernize our AI-enabled platform, and maintain 24/7 support for cloud apps while collaborating with product owners, security, and data governance.

This full-time hybrid role offers up to 40% remote work and opportunities to shape AI tooling across Google Cloud, AWS, and Azure, ensuring production readiness and cost controls.

Qualificações

• 3+ years of experience in IT operations or infrastructure building and monitoring.
• DevOps: support, maintenance, deployment and admin tasks.
• Hands-on with Google Cloud, AWS or Azure operations.
• Excellent English, written and spoken.
• Interest in AI platforms, generative AI, and agentic workflows.

Responsabilidades

• Maintain and deliver 24/7 support to cloud applications; on-call 24/7.
• Observability: cloud logging/monitoring, SLOs, incident response, resilience.
• Contribute to Agentic AI, prompt engineering, RAG, and AI workflows.
• Troubleshoot technical issues by analyzing platform data and logs.
• Provide user support for environments and tools to ensure effective use.
• Implement and maintain development, test, production platforms for stability.
• Make technical decisions to add value across platforms and environments.

Conhecimentos

3+ years IT ops

DevOps operations

Cloud platform ops

Log analysis

Linux/Unix

English fluency

AI workflows interest

Ferramentas

Google Cloud

AWS

Azure

Docker

Kubernetes

Ansible

Git

Descrição da oferta de emprego

Nordea invites you to join Group Technology as an AI Specialist/SRE focused on cloud operations, AI workflows, and observability. You will help modernize our AI-enabled platform, and maintain 24/7 support for cloud apps while collaborating with product owners, security, and data governance.

This full-time hybrid role offers up to 40% remote work and opportunities to shape AI tooling across Google Cloud, AWS, and Azure, ensuring production readiness and cost controls.