
Naga Surya Teja Thallam is an accomplished Cloud and AI Infrastructure Leader with extensive experience building, scaling, and optimizing enterprise-grade systems across Salesforce, Cisco, and Seagate. His career is characterized by deep technical expertise, strong architectural vision, and a commitment to driving innovation in cloud transformation, AI automation, and large-scale distributed systems.
At Salesforce, Surya has played a pivotal role in expanding and modernizing global production infrastructure. He has been instrumental in the design and implementation of Agentforce, Salesforce’s AI-driven automation and intelligence platform. His work spans multi-region deployments across more than 10 global locations, ensuring high availability, scalability, and operational reliability. Surya’s expertise in multi-cloud ecosystems including AWS, Alibaba, GCP, Azure, and hybrid data centers has enabled Salesforce to deliver resilient infrastructure capable of supporting millions of users and AI-powered services. His leadership in capacity planning, monitoring, and predictive scaling continues to strengthen Salesforce’s global infrastructure footprint.
Before joining Salesforce, Surya made significant contributions at Cisco, where he managed large-scale AWS infrastructure supporting over 2,000 customers. He engineered and optimized cloud architecture frameworks that delivered over $3 million in annual cost savings, while improving performance, security, and automation. As a certified Scrum Lead, he guided cross-functional engineering teams, implemented CI/CD pipelines, and championed infrastructure-as-code practices that greatly enhanced delivery velocity and operational efficiency. His excellence in leadership and execution earned him 28+ awards for outstanding performance and innovation.
Surya’s journey began at Seagate, where he led big data initiatives, managing a 160-node Hadoop production cluster responsible for powering enterprise analytics and high-performance computing workloads. His deep understanding of Hadoop, Spark, Hive, and Python enabled seamless cloud migrations, efficient data workflows, and reliable large-scale data processing systems.
Across every role, Surya has demonstrated a passion for solving complex engineering challenges and driving technological advancement. His work integrates cloud architecture, AI-based automation, data engineering, and distributed computing into unified, intelligent systems designed for global reliability and scale. He continues to explore advancements in intelligent cloud orchestration, predictive AI models, and automation-driven infrastructure.
Recognized as a strong technical leader with a proven ability to innovate, Surya remains dedicated to shaping the future of cloud and AI infrastructure building systems that are more scalable, more intelligent, and more resilient for the next generation of enterprise technology.

