AI Cloud Engineer - Tech Lead (Kubernetes)

TL;DR

AI Cloud Engineer - Tech Lead (Kubernetes): Leading the design, implementation, and management of cloud-native Data & AI platforms with an accent on Kubernetes orchestration, automation, and high-performance data processing. Focus on building scalable AI architectures, mentoring the team, and ensuring robust DevSecOps practices within complex enterprise environments.

Location: Must be based in Stockholm, Sweden

Company

hirify.global is an IT and technology consulting firm providing specialized expertise in software development, SAP, and mechanical design for complex, high-demand projects.

What you will do

• Lead the end-to-end architecture design and technical implementation of AI platforms.
• Oversee the deployment, configuration, and troubleshooting of cloud-native AI solutions.
• Translate complex customer business requirements into deployable technical architectures.
• Mentor team members on cloud-native solutions and modern architecture best practices.
• Maintain and optimize Data & AI environments for performance and reliability.
• Stay current with AI trends to provide strategic input for the product roadmap.

Requirements

• Must be based in Stockholm, Sweden
• Solid experience with Golang and Kubernetes operator implementations.
• Strong background in cloud architecture, DevSecOps, and GitOps workflows.
• Proficiency in Linux, container technology, and automation scripting (Shell/Python).
• Experience building cloud-native environments for large-scale data processing.
• Knowledge of CI/CD pipelines using tools like ArgoCD or Github Actions.
• Experience with Agentic AI development or copilot integration.

Nice to have

• Experience with SAST/DAST and automated testing frameworks.
• Knowledge of LLM concepts such as Prompting and RAG.
• Relevant certifications in AI (AWS/GCP/Azure) or NVIDIA developer credentials.
• SAFe or Agile methodology certifications.

Culture & Benefits

• Work in a dynamic and international consulting environment.
• Opportunities for professional development and growth.
• Exposure to cutting-edge AI technologies and complex enterprise projects.
• Competitive compensation package.