A SocietyStockholm

Data & AI Platform Engineer – System Admin & DevOps

Project-Based

Description

We are seeking a Data & AI System admin with a Cloud experience to join our Software Excellence and Information Assurance (SWEIXA) team within the Surveillance business area. You have 3-7 yers relevant experience. In this role, you will install, deploy, configure and support cloud native Data and AI platforms.

You will work closely with our software development teams to ensure our Data & AI tools and platforms are secure, efficient, and aligned with our customers' needs.

Main Responsibilities • Installation, configuration and maintenance of Cloud Native Data & AI On-Prem Platforms. • Installing applications and Helm-based Kubernetes deployments • Provide technical support and troubleshooting for Data & AI-related issues. • Stay up-to-date with the latest AI technologies and trends. • Occasional travel may be required.

Qualifications Need-to-Have: • Continuous delivery using Jenkins/ArgoCD or TeamCity. • Experience building/deploying on Kubernetes using helm. • Strong Linux knowledge (Linux/Kubernetes Certification is favorable) • Programming experience in Golang and great Terminal Experience. • Built logging solutions and observability stacks. • DevSecOps with a security-first approach • Experience managing user environment federation supporting multi-tenancy. • Pipeline experience in industries with large volumes of data. • Excellent communication, collaboration, and problem-solving skills. • Infrastructure-as-code: Ansible, Terraform. • Social teamplayer. • Proficiency in Swedish & English. • Bachelor's or Master's degree in Computer Science, AI/ML, Electronic Engineering, or a similar technical field.

Nice to have: • NVIDIA AI certifications (very nice to have). • Active implementation of automation pipelines (CI/CD) using ArgoCD, Jenkins, or other runners. • Agentic AI development or use of copilot. • Software development experience. • Programming languages: Python. • Implementation of operators on Kubernetes. • AI certifications (Google/AWS/Microsoft). • SAFe/Agile certification. • LLM concepts (prompting, RAG).

Full-time on-site. The selection of candidates is done continuously. Good opportunities for an extension of the assignment.

This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply.

Skills

Machine LearningJenkinsAWSAgileKubernetesSecurityTerraformDevOpsAnsiblePythonLinuxGoHelmCI/CD