PARTNER NETWORK PORTAL

Combitech söker Data & AI Platform Engineer, för uppdrag hos kund Beskrivning Data & AI Platform Engineer – Technical Lead, nivå 3 In this senior role, you will provide leadership for the team and manage the design, oversee installation, configuration, and support of our cloud native Data & AI platforms. You will be a key player, a technical leader and a cornerstone in the design, implementation and delivery of our AI solutions. You will also provide knowledge of AI tooling, their limitations, possibilities and participate in meetings to understand our customer needs on a technical level. This role will require creative thinking and great problem-solving skills, good communication skills, a solid understanding of Kubernetes and experience with automation and processing of large volumes of data. Additionally, you will provide technical know-how and mentorship to team members regarding cloud native solutions and modern cloud architecture. Main Responsibilities - Design the architecture end-to-end, system view, and technical implementation of our platform. - Provide and create use cases and participate in the development of a complete AI system. - Understand customer needs and translate the customer business requirements into architecture we will deploy. - Take lead in deploying our solution, including setup, configuration and troubleshooting. - Provide and delegate technical support and troubleshooting for Data & AI-related issues. - Stay up-to-date with the latest AI technologies and trends, and provide strategic input for the product roadmap. - Conduct regular reviews and updates of Data & AI environments to ensure optimal performance. - Create guidelines for AI environment management. - Mentor junior team members and provide technical leadership. - Occasional travel may be required. Qualifications Need-to-Have: - Solid Golang and other systems programming language experience and operator implementations utilizing Kubernetes. - Bachelor’s or master’s degree in a technical field such as Data Engineering or equivalent work experience. - Practical experience of cloud architecture and commonly used high-performance applications, cloud-native and traditional, their individual best usecases and how to apply DevSecOps best practices. - Solid understanding of DevOps practices GitOps workflows and developer enablement. - Automatic scripting of repetitive tasks using Shell or Python. - Strong knowledge of Linux and Container technology (Linux/Kubernetes Certifications are favorable). - Active implementation of automation pipelines (CI/CD) using ArgoCD, ArgoWorkflows, Github Actions or other runners. - Scanning third-party libraries and container images for vulnerabilities. - Experience building cloud-native/Kubernetes environments in industries with large volumes of data. - Agentic AI development or use of copilot. - Model Deployment experience. Nice-to-Have: - Experience with build, testing (unit, integration, end-to-end), SAST, DAST, Artifactory release, and deployment to staging/production. - LLM concepts (Prompting, RAG). - AI certifications (Google/AWS/Microsoft). - NVIDIA developer certification. - SAFe/Agile certification. Uppdraget kan omfattas av försvarssekretess, vilket innebär krav på svenskt medborgarskap och godkännande av säkerhetsprövning utförd av myndighet. Uppdragsinformation Uppdragslängd: ca 6 mån Placeringsort: Stockholm

Är ni intresserad, har tillgänglig och passande konsult för uppdraget, svara och bifoga kompetensprofil (CV) och förslag på pris till partner.network@combitech.se