Infrastructure and Cloud Architect

Our client is prominent Indian multinational corporation specializing in information technology (IT), consulting, and business process services and its headquartered in Bengaluru with revenues of gross revenue of ₹222.1 billion with global work force of 234,054 and listed in NASDAQ and it operates in over 60 countries and serves clients across various industries, including financial services, healthcare, manufacturing, retail, and telecommunications. The company consolidated its cloud, data, analytics, AI, and related businesses under the tech services business line. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru, kochi, kolkatta, Noida.

Experience:8+

payroll:people prime

mode: hybrid

mandotary skill: Infrastructure and Cloud Architecture (AI&ML) Azure, Aws

Infrastructure and Cloud Architecture

• Design and optimize hybrid and multi-cloud infrastructure (Azure, AWS, OCI) to support global enterprise workloads, including high-performance and resilient AI workloads.
• Define and standardize architectural patterns for compute, storage, networking, and platform services that enable efficient AI model training, inference, and data processing.
• Drive adoption of Infrastructure-as-Code (IaC), automation, and GitOps frameworks for consistent, repeatable deployments and operations.
• Embed security and compliance controls into infrastructure designs, including identity management, encryption, segmentation, and policy enforcement.
• Ensure observability, monitoring, and resilience are integral to all platform architectures.
• Collaborate with data and AI platform teams to ensure alignment between infrastructure, data pipelines, and MLOps environments.

Embedded Security and Resilience

• Partner with enterprise and security architects to align infrastructure designs with global security standards and regulatory frameworks.
• Support threat modeling, risk assessments, and architecture assurance reviews for infrastructure and AI deployments.
• Apply resilience-by-design principles, incorporating redundancy, failover, and recovery mechanisms across cloud and on-prem environments.
• Champion a culture of secure-by-default and continuous improvement in infrastructure and cloud operations.

Architecture Governance and Standards

• Contribute to the definition, evolution, and enforcement of global infrastructure and cloud standards, including AI and data-specific requirements.
• Ensure architectural decisions are documented, traceable, and compliant with enterprise governance frameworks.
• Participate in architecture review boards and provide expert guidance to delivery and engineering teams.
• Establish lifecycle governance to ensure infrastructure architectures remain aligned with evolving business, regulatory, and technology needs.

Collaboration and Enablement

• Collaborate with application, data, and security architects to design and deliver integrated, secure, and scalable infrastructure solutions.
• Provide technical leadership and mentorship to engineering and operations teams, fostering a culture of architectural excellence and innovation.
• Engage with business and technology stakeholders to translate strategic goals into actionable, measurable infrastructure capabilities.
• Promote cross-functional collaboration and knowledge sharing to accelerate the adoption of modern cloud, AI, and automation practices.

Skills and Experience

• 8+ years in infrastructure and cloud architecture roles within large-scale, complex enterprise environments.
• Deep experience with multi-cloud platforms (Azure, AWS, OCI), hybrid networking, and infrastructure automation tools (Terraform, Ansible, GitOps).
• Proficiency in container orchestration (Kubernetes, AKS/EKS/OKE) and infrastructure observability (Prometheus, Grafana, ELK).
• Familiarity with embedded security practices — IAM, encryption, secure connectivity, and compliance automation.
• Working knowledge of enterprise architecture frameworks (TOGAF, Zachman) and cloud reference architectures.
• Exposure to AI/ML infrastructure, GPU/accelerator environments, and MLOps pipelines is highly desirable.
• Understanding of FinOps principles for cost optimization and governance in multi-cloud environments.

Preferred Certifications

• Azure or AWS Solutions Architect (Professional Level)
• TOGAF or equivalent enterprise architecture certification
• ITIL or COBIT for operational alignment
• CKA (Certified Kubernetes Administrator) or HashiCorp Terraform Associate
• Security certifications (e.g., CISSP, ISO 27001) are advantageous

Key Attributes

• Strategic thinker with the ability to balance long-term vision and pragmatic delivery.
• Strong communicator who can translate complex technical concepts into clear business value.
• Collaborative leader who builds trust across teams and drives architectural alignment.
• Curious and adaptable, with a passion for innovation in cloud, automation, and AI infrastructure.