Data & AI Platform Engineer

About the Company

Avaron AB is a growing consultancy that matches your expertise with the market's most interesting assignments, offering a platform where your professional development is central.

You will join a team working with secure, cloud-native Data & AI platforms in a technically advanced defense environment. In this role, you will help install, deploy, configure and support on-prem platforms, working closely with software development teams to ensure solutions are secure, efficient and aligned with user needs.

• Install, configure and maintain cloud-native Data & AI on-prem platforms.
• Deploy applications and Helm-based Kubernetes solutions.
• Provide technical support and troubleshoot Data & AI-related issues.
• Collaborate closely with software development teams on platform and operational needs.
• Contribute to secure, efficient and scalable platform operations.
• Stay up to date with relevant AI technologies and trends.

• 3-7 years of relevant experience.
• Experience with continuous delivery using Jenkins, ArgoCD or TeamCity.
• Experience building and deploying on Kubernetes using Helm.
• Strong Linux knowledge.
• Programming experience in Golang and strong terminal skills.
• Experience building logging solutions and observability stacks.
• DevSecOps experience with a security-first approach.
• Experience managing user environment federation supporting multi-tenancy.
• Experience working with pipelines in industries handling large volumes of data.
• Experience with infrastructure as code using Ansible and Terraform.
• Proficiency in Swedish and English.
• Bachelor's or Master's degree in Computer Science, AI/ML, Electronic Engineering, or a similar technical field.
• Ability to pass security clearance (requires Swedish citizenship, dual citizenship not permitted)

• Linux or Kubernetes certification.
• NVIDIA AI certifications.
• Hands-on experience implementing automation pipelines using ArgoCD, Jenkins or similar runners.
• Experience with agentic AI development or use of Copilot.
• Software development experience.
• Programming experience in Python.
• Experience implementing operators on Kubernetes.
• AI certifications from Google, AWS or Microsoft.
• SAFe or Agile certification.
• Knowledge of LLM concepts such as prompting and RAG.

Selections are made on an ongoing basis, so we recommend that you apply as soon as possible.