Data & AI Platform Engineer

Om jobbet

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.

About the Assignment

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.

Job DescriptionInstall, 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.

Requirements3-7 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)

Nice to haveLinux 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.

Application

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