Senior Staff Technical Architect

Senior Staff Technical Architect, Infrastructure and Cloud at ServiceNow Bangalore, setting direction for secure, reliable, scalable corporate and cloud infrastructure.

• 1What you get to do in this role:
• 2Help define the current-state, transition-state, and target-state infrastructure and cloud architecture, with a multiyear roadmap tied to business priorities, risk, lifecycle, capacity, and cost. Help align that direction with enterprise architecture principles and the broader technology roadmap, and surface dependencies that affect enterprise plans
• 3Establish reference architectures, principles, standards, and patterns across cloud, data center, networking, compute, storage, containers, and backup. Advise on infrastructure as code and policy as code, and support delivery teams in adopting them
• 4Help define cloud governance, standards, and architectural guardrails for Azure and GCP, including account and subscription structure, landing zones, cost controls, and policy as code. Advise teams on operating within them, and surface where a guardrail needs to change
• 5Lead infrastructure architecture reviews and provide architecture input on major technical decisions. Help scope proofs of concept and vendor evaluations. Evaluate options, document tradeoffs, risks, and value, fit, operability, and total cost, and help drive decisions to closure with accountable stakeholders
• 6Recommend resilience and compliance requirements for high availability, disaster recovery, backup and recovery, and continuity, and help align recovery objectives with business criticality

• 10+ years of progressive experience in infrastructure, cloud, platform engineering, or systems engineering, including substantial architecture responsibility for complex enterprise environments
• Deep expertise in several infrastructure domains, with enough breadth to make integrated decisions across cloud, network, compute, storage, resilience, and cost
• Strong working knowledge of Azure and Google Cloud Platform (GCP) architecture, including landing zones, connectivity, identity dependencies, workload placement, and shared-responsibility models
• Solid understanding of agentic AI concepts and patterns, including retrieval-augmented generation (RAG), agent-to-agent (A2A) communication, Model Context Protocol (MCP), and related technologies
• Experience integrating disparate systems, with a strong understanding of enterprise integration patterns, such as APIs, messaging, and event-driven architecture
• Experience defining cloud governance, guardrails, and standards in a large enterprise, and getting teams to adopt them