About the job
Join Our Team as a Senior Cloud & Infrastructure Engineer for AI Solutions!
Are you passionate about shaping the future of AI technology? At one of the leading AI consultancies in the Nordics, we are seeking a dynamic Senior Cloud and Infrastructure Engineer with extensive hands-on experience in deploying cutting-edge applications within Microsoft Azure.
Your Role
As a pivotal member of our AI team within the Tech Collective, you will collaborate with a diverse group of professionals specializing in ML/AI development, conversational design, and strategic transformation. While expertise in AI is not a prerequisite, your proficiency in architecting, deploying, and maintaining secure, scalable platforms is essential, along with a strong desire to learn and grow.
Your primary responsibilities will include:
- Designing and Operating Cloud Infrastructure for AI Systems: Architect robust, secure, and scalable cloud environments for AI-driven applications across Azure and additional cloud providers.
- Containerization and Orchestration: Implement containerized services utilizing Docker and cloud-native tools, set up CI/CD pipelines, and ensure seamless operational workflows.
- Networking, Security, and Access Management: Develop resilient architectures encompassing VNETs, private endpoints, API gateways, identity configurations, and monitoring setups for enterprise-level deployments.
- Collaboration on Cross-Functional AI Projects: Work closely with backend, full-stack, and AI engineers to facilitate the deployment and operation of innovative agent-based and generative AI applications.
- Infrastructure-as-Code and Automation: Leverage modern tools for automated provisioning, ensuring reproducible and maintainable environments for client projects.
- Solution-Level Architecture Design: Create system designs, comprehend how software components interact, and provide guidance to teams on best practices for production deployment.
- Performance, Monitoring, & Observability: Establish logging, metrics, and monitoring systems to guarantee the reliable operation of AI applications.
- Staying Up-to-Date with Modern Cloud Technologies: Assess new cloud services, deployment patterns, and security practices tailored to AI-intensive workloads.
Your Qualifications
The ideal candidate will possess a thorough understanding of cloud-native architectures, containerization, networking, and secure deployments, with enthusiasm for applying these skills to create and manage pioneering AI solutions.
We prefer candidates with at least three years of practical experience in designing, deploying, and managing cloud-based applications.

