A SocietyStockholm

Data & AI Platform Engineer – DevOps

Project-Based

Description

We are seeking a Data & AI Platform Engineer with DevOps experience to join our Software Excellence and Information Assurance (SWEIXA) team within the Surveillance business area. You have 3-7 years relevant experience.

In this role, you will define AI solutions, install, deploy, configure and support cloud native Data and AI platforms. You will work closely with our software development teams to ensure our AI solutions and platforms are secure, efficient, and aligned with our customers' needs.

Main Responsibilities • Gather customer requirements and design and implement end 2 end, Data & AI solutions. • Deployment and operations of Cloud Native Data & AI On-Prem Platforms. • Installation, configuration, and maintenance of AI environments. • Installing applications and Helm-based Kubernetes deployments. • Implementation of automation pipelines (CI/CD). • Provide technical support and troubleshooting for AI-related issues. • Stay up to date with the latest AI technologies and trends. • Occasional travel may be required.

Qualifications Need-to-Have: • Agentic AI development or use of copilot. • Programming Python with Terminal Experience. • Implementation with a focus on cloudnative integrations (Helm, Grafana). • Experience in software development and/or system architecture in AI. • Experience with Fault Searching/Error logging/Observability. • Experience using cloudnative applications and integrations. • Pipeline experience with build, testing (unit, integration, end-to-end), SAST, DAST, Artifactory release, and deployment to staging/production. • Work experience utilizing Python in DL/ML. • Solid English 6 Swedish proficiency. • Social teamplayer. • Bachelor’s in computer science / data science related field.

Nice to have: • Active implementation of automation pipelines such as CI/CD (ArgoCD/Jenkins or other runners). • DevSecOps with security first. • Scanning av third-party libraries, container images for vulnerabilities. • Planning with Jira and estimating tasks with SMART goals. • AI certifications (Google/AWS/Microsoft) • 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 LearningJenkinsAWSJiraKubernetesSecurityDevOpsPythonHelmCI/CDGrafana