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.

This assignment is within a surveillance-focused defense environment, where you will help build and support secure, cloud-native Data & AI platforms. You will work closely with software development teams to deliver robust AI solutions that meet high standards for security, performance, and operational reliability.

• Gather requirements and design end-to-end Data & AI solutions.
• Deploy, operate, and support cloud-native Data & AI platforms in on-prem environments.
• Install, configure, and maintain AI environments.
• Manage application installations and Helm-based Kubernetes deployments.
• Implement and improve automation pipelines for build, test, and deployment.
• Provide technical support and troubleshoot AI-related platform issues.
• Collaborate with development teams to ensure secure and efficient platform delivery.
• Stay current with new AI technologies, tools, and ways of working.

• 3–7 years relevant experience.
• Experience with agentic AI development or the use of copilot tools.
• Strong Python skills and terminal experience.
• Experience with cloud-native integrations, including Helm and Grafana.
• Experience in software development and/or system architecture within AI.
• Experience with fault tracing, error logging, and observability.
• Experience using cloud-native applications and integrations.
• Experience with pipelines covering build, testing (unit, integration, end-to-end), SAST, DAST, Artifactory release, and deployment to staging and production.
• Work experience using Python in DL/ML contexts.
• Solid proficiency in English and Swedish.
• Bachelor’s degree in computer science, data science, or a related field.
• Ability to work collaboratively in a team.
• Ability to pass security clearance (requires Swedish citizenship, dual citizenship not permitted)

• Hands-on experience with CI/CD tools such as ArgoCD, Jenkins, or similar runners.
• Experience working with DevSecOps and a security-first mindset.
• Experience scanning third-party libraries and container images for vulnerabilities.
• Experience with planning in Jira and estimating tasks using SMART goals.
• AI certifications from Google, AWS, or Microsoft.
• 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.