Cloud Engineer - AI Services
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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote-first, generalist cloud role with broad skills requirements increases applicant competition.
Core cloud infrastructure and DevOps skills are highly transferable across industries despite AI/agent preferences.
Explicit 1–3 years plus mandatory Azure/GCP and cloud security experience enforces moderate shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Build, secure, and maintain cloud infrastructure for Azure and GCP environments, ensuring compliance with security standards.
Integrate cloud services with software applications, supporting DevOps processes including CI/CD, automation, monitoring, and deployment.
Develop and deploy production-ready software solutions, including AI agents, retrieval systems, and RAG-based applications, collaborating with AI-assisted development tools.
Minimum Requirements
1+ year of experience as a Cloud Engineer working specifically with Azure and GCP focusing on infrastructure automation, deployment, and operations.
Proven understanding of cloud security principles and security compliance frameworks.
Experience with Infrastructure, Cloud Security, and DevOps practices.
Strong communication skills enabling effective collaboration; Work Experience Required: 1+ years.
Ideal Candidate Profile
Can independently design, build, and deliver software solutions integrating cloud infrastructure and security.
Operates effectively in a remote-first, collaborative environment utilizing AI/LLMs for development assistance.
Has interest or experience in AI-assisted development with agent-based systems and Retrieval-Augmented Generation (RAG) workflows.