Senior Cloud (Azure) Engineer

Responsibilities

• Collaborate closely with clients to understand their business and AI adoption requirements, evaluate their maturity, and consult on Azure DevOps and AI integration best practices
• Serve as the technical subject matter expert during client workshops, discovery sessions, and project kickoff phases for both traditional cloud and AI-driven initiatives
• Design, architect, and bootstrap robust CI/CD pipelines, repository structures, and secure workspaces for critical client initiatives — specifically incorporating AI solutions, prompt engineering pipelines, and LLM integrations
• Standardize project onboarding processes to ensure rapid, scalable, and secure delivery environments
• Integrate modern AI tools, coding assistants (e.g., GitHub Copilot, Azure AI services), and AI-driven workflow automations into the engineering ecosystem
• Establish and enforce enterprise-grade governance models within Azure DevOps, including security policies, access control, auditing, and ethical/secure use guidelines for AI tools and models
• Monitor and optimize platform usage to ensure adherence to compliance standards, cost control, and data privacy
• Research, evaluate, and pilot emerging DevOps platforms, developer tooling, and AI-driven software development lifecycle (SDLC) solutions
• Define migration strategies, risk assessments, and adoption roadmaps for newly approved tools
• Develop and maintain reusable patterns, YAML pipeline templates, infrastructure-as-code (Terraform), and reference architectures tailored for AI and cloud workloads

Languages