Data/AI Infrastructure Architect

Key Responsibilities:

. Strategic Advisory: Provide expertise on DevSecOps andcloud infrastructure best practices.

. Discovery & Planning: Assess current setups and designmodernization roadmaps.

. Stakeholder Management: Present solutions and communicatebusiness value effectively.

. Team Leadership: Mentor CoE team members and guidecross-departmental adoption of tools.

. Hands-on Enablement: Conduct workshops to implement newtools and practices.

Key Initiatives (First 6-9 Months):

. CI/CD Migration: Transition pipelines from Jenkins toAzure DevOps.

. Operational Independence: Design self-sufficientoperational models for departments.

. Infrastructure Assessment: Evaluate Azure infrastructurefor security, cost, and performance improvements.

. Shared Assets: Develop reusable CI/CD templates and toolsfor organization-wide adoption.

Required Skills and Qualifications:

Technical Expertise: Proficiency in Azure DevOps, Terraform,Kubernetes, and cloud networking (Azure/AWS).

Operations & Security: Experience in Day-2 operations,observability, and secure cloud architecture.

Stakeholder Management: Strong communication andpresentation skills to influence diverse teams.

Strategic Thinking: Ability to align technical decisions withbroader business and operational goals.

At least 7 years of IT delivery experience, including 3years in team leadership.

Government project -Government Commercial Cloud (GCC) goodto have.

Expertise on DevSecOps and cloud infrastructure bestpractices.