Apr 2022 – Present · 4 yrs

• Lead global infrastructure strategy spanning traffic management, security, and cloud platforms at planet scale, guiding a diverse and high-performing engineering organization.
• Key Responsibilities
• Drive data-driven strategies that align infrastructure capabilities with broader business objectives.
• Define and communicate the strategic vision for the organization while reviewing and advising on cross-team roadmaps and long-term plans.
• Ensure high availability, reliability, and scalability for a dynamic, high-volume marketplace platform.
• Partner with executive leadership on budget planning, capacity strategy, and resource allocation.
• Deliver executive and board-level updates on infrastructure performance, risk, and strategic initiatives.
• Lead planning and execution of large-scale infrastructure programs, translating long-term technical strategy into quarterly deliverables.
• Champion AI enablement across engineering workflows and leadership decision-making.
• Foster a culture of innovation, contributing to an intellectual property portfolio with 20+ pending patents.
• Oversee multi-vendor ecosystems and ensure seamless integration with business and platform services.
• Support compliance, regulatory, and security governance initiatives across global operations.
• Recruit and develop world-class engineering talent globally, building teams aligned with organizational goals.

Apr 2019 – Apr 2022 · 3 yrs

• Cyber security
• Spearheaded Cyber threats in the past few years (multiple pending patents)
• Rapidly moved team response from passive -> active -> predictive -> innovative to remain reliable
• Exceeded cybersecurity related availability goals consistently in the last few years
• Developed tools with Sub minute response and security using AI/ML with near zero disruptions
• Delivered Hundreds of Millions of dollar perpetual capacity and operational cost savings using layered security approach
• Complete public traffic migration
• Migrated 100% public traffic to new SLB platform
• Automated ML based traffic strategies for hands free migrations
• Designed and implemented security, caching and edge computing processes for existing and new applications with multiple teams
• Public certificate automation
• Completely overhauled public certificate management process (multiple pending patents)
• Automated end to end process across multiple platforms and lifecycle systems
• Multi million dollar perpetual operational savings
• Secure traffic onboarding
• Built secure software loadbalancer infrastructure from scratch
• Automated ACLs and firewall configuration for regulatory compliance
• Integrated internal and vendor systems into the new platform
• Migrated 100 % traffic to the new system with no downtime
• Updated diagrams and documentation to reflect the transition and new states for PCI and other regulatory audits
• Introduced new business oriented V3 traffic automation APIs.
• Added advanced bulk APIs for efficient migration for large scale applications
• Improved cache building for control plane restarts and maintenance activities to improve warm up time by 80%
• Improved new availability zone build out process by 70%
• Optimized bulk calls with selective data fetching options resulting in 70% speed improvements

May 2015 – Apr 2019 · 3 yrs 11 mos

• Kubernetes Traffic Integration
• Implemented dual support for Traffic Management for one of the largest private Kubernetes clusters
• Automated 100% APIs to translate legacy configurations to Kubernetes managed envoy SLBs
• Automated traffic tests with 98% success rate during migration
• Optimizations of legacy stack for Kubernetes to utilize legacy infrastructure for internal traffic prior to software load balancer migration
• Migrated 80% of public traffic to envoy SLBs using automation
• Hardening for large scale Traffic Management
• Reduced all traffic exit call SLAs to less than 30 Seconds. Public traffic data plane without anycast SLAs to max. DNS TTL. Anycast within 2 Seconds.
• Improved exit success to 99% with clear error messages for automated or manual retries
• Redesigned Traffic distributions for higher efficiency during exits with just 0.01% increase in P99 latency. Also eliminated 30% of API exit calls
• Introduced ML based realtime traffic alerts for exit success measurement
• Introduced new models for large scale Traffic Management
• Improved Region traffic exits from Months to Minutes with 90% first call execution success
• Built prioritized execution pipelines for Admin access reducing
• Admin traffic calls by 10X
• Introduced PoP exit and availability zone exit strategies
• Improved critical application exit success rates from 40% to 95%
• Introduced new business oriented V2 Traffic automation APIs.
• Reduced new application onboarding time by 85%, code rollout times by 60%
• Reduced Hot Loadbalancer issues by 90%
• All while handling increased Traffic automation volume by 1000x from hundreds of calls per day to Millions per day
• Reduced 10+ abstraction micro services while improving centralized metadata store accuracy from 50 to 98%
• Took over broken internal loadbalancer and DNS control plane stacks. Improved success rates for both stacks from 30% to 99%.
• Took open stack LBaaS to the latest version with complete code coverage