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Cloud DevOps Architect

Lisboa

Descrição da posição

Cloud Architects and DevOps Engineers play a major role in our projects. The ability to transform proven AI and GenAI concepts and prototypes developed by data scientists into scalable, and production-grade AI applications.

This sits at the critical intersection of software development and data science, requiring both technical depth in AI/ML technologies, strong software engineering fundamentals and hands-on experience in cloud platforms to leverage the projects.

The service to be provided has focus on directing a systemic approach to AI projects support in Integration projects; supporting accountable and responsible developers in project outcomes with focus on the oversight and support necessary for collaborating project teams to succeed.

By partnering with the team developers and other project roles, Cloud DevOps Architects will assist in identifying dependencies and possible issues across teams; contribute to projects delivered within quality standards.

Requirements

Senior Level - Cloud platforms, including IaaS, SaaS and PaaS solutions (mainly AWS)
Senior Level - IaaS using tools like Terraform, OpenTofu , CloudFormation or ARM templates
Senior Level - Strong knowledge on serverless computing architectures, multi-threading and related services
Senior Level - Strong background in cloud security principles and best practices
Senior Level - Advanced Python programming skills for automation and tool development
Senior Level - Strong understanding of software development, the best practices and design patterns (language agnostic)
Mid-Level - GenAI - based cloud solutions like OpenAI, Bedrock, etc.
Mid-Level - Experience with prompt engineering, LLM usage and best practices
Senior Level - Understanding of storage solutions and data lifecycle management
Mid-Level - Understanding of API gateway implementations and management
Mid-Level - Experience with message queuing systems

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