Engineering professionals in Cloud infrastructure
On the cloud infrastructure side, Google holds eight of the ten seats here, with titles covering storage, GPU VMs, Google Distributed Cloud, serverless and container-optimized OS, and two hold or held Amazon Web Services (AWS) database engineering titles on Aurora MySQL and RDS. A call fits decisions on storage cost and fleet efficiency, GPU capacity, managed databases or private and sovereign cloud.
Professionals to explore
Anupama Gadiraju
LinkedInExperience: Senior Software Engineering Manager · Google Cloud
Storage and query services connect Anupama Gadiraju's roles: Engineering Leader AWS S3 (2016–2019) and Head of Engineering - Query Timestream (2019–2021) at Amazon Web Services (AWS), Engineering Leader Meta at Meta (2021–2023) and Senior Software Engineering Manager at Google Cloud since 2023. Gadiraju describes 20 years in cloud, distributed systems and databases, a fit for questions on storage and query services.
Is this you? Claim your profile and get paid for calls.
Belinda Runkle
LinkedInExperience: Senior Engineering Director, Google Cloud Developer Infrastructure · Google
Senior Engineering Director, Google Cloud Developer Infrastructure and Site Lead, Google Washington since 2026, Belinda Runkle was Senior Director Of Engineering, Serverless & Orchestration (2022–2026) and Director Of Engineering, Cloud Billing Cloud Commerce (2019–2022). Runkle describes leading serverless, Firebase and service orchestration engineering and was VP of Engineering at Fastly (2018–2019).
Is this you? Claim your profile and get paid for calls.
Frank Siegemund
LinkedInExperience: TLM Senior Staff Engineering Manager -- GPU VMs Instances at Google Cloud · Google
Frank Siegemund has been TLM Senior Staff Engineering Manager -- GPU VMs Instances at Google Cloud since 2021 and was TLM Staff Engineering Manager -- Google Compute Engine (2017–2021). Siegemund held Microsoft Azure roles in core networking, Traffic Manager DNS and compute (2008–2017) and lists GPU VM families from A4X-Max (GB300) to A2 (A100), the most direct fit here for GPU capacity questions.
Is this you? Claim your profile and get paid for calls.
Jignesh Shah
LinkedInExperience: Director, Amazon Aurora MySQL & RDS Open Source · Amazon Web Services (AWS)
Jignesh Shah was Director, Amazon Aurora MySQL & RDS Open Source at Amazon Web Services (AWS) (2025–2026), General Manager, Amazon RDS Open Source Engines (ROSE) (2023–2025) and Engineering Leader - Amazon RDS for PostgreSQL (2017–2022), and has been Director of Engineering, GCP BigQuery Dataflow at Google since 2026. Shah can compare managed open source database engineering at AWS with data services at Google.
Is this you? Claim your profile and get paid for calls.
Poonam Bathla
LinkedInExperience: Engineering Leader (L7) Cloud Infrastructure & Storage · Google
At Google, Poonam Bathla has been Engineering Leader (L7) Cloud Infrastructure & Storage since 2022, after the L6 level of the same title (2018–2022). At DS-IQ, Bathla was VP of Engineering Product Strategy Cloud Development Architecture Mentoring (2016–2018) and held director of development roles (2013–2016), and describes pairing hands-on software design with strategic product planning, a fit for cloud storage questions.
Is this you? Claim your profile and get paid for calls.
Ravi Aringunram
LinkedInExperience: Director - Google Cloud Storage (Efficient Fleet) · Google
Ravi Aringunram has been Director - Google Cloud Storage (Efficient Fleet) at Google since 2024 and Director - Google Cloud Storage (Metadata and Data serving) since 2022, with Engineering Manager - Google Cloud Storage (2019–2022). Aringunram was also Senior Engineering Manager - Analytics Infrastructure at LinkedIn (2016–2019) and names storage strategy, fleet health and scale and cost efficiency as focus areas.
Is this you? Claim your profile and get paid for calls.
Sanjeev Tyagi
LinkedInExperience: Engineering Director, Google Cloud · Google
Google Distributed Cloud (GDC), under a private and sovereign cloud mandate, is the technical mission Sanjeev Tyagi has led as Engineering Director, Google Cloud since 2024; Tyagi was Engineering Director, Google Telco Cloud (2021–2023). At Ericsson, Tyagi held Vice President, Engineering roles as Head of Global AI Accelerator, Head of India R&D and in Software Defined Networking (2013–2021).
Is this you? Claim your profile and get paid for calls.
Sridevi Ravuri
LinkedInExperience: Vice President, Engineering, Google Distributed Cloud · Google
AI infrastructure and planet scale distributed infrastructure are the focus areas Sridevi Ravuri names. At Google, Ravuri has been Vice President, Engineering, Google Distributed Cloud since 2025, with Vice President, Engineering, Google Cloud Storage (2024–2026), Sr. Director, Engineering, Google Cloud Storage (2021–2024) and Gemini Cloud Assist - Operate Workstream Lead (2024) roles.
Is this you? Claim your profile and get paid for calls.
Ying Han
LinkedInExperience: Director of Engineering Google Cloud · Google
Kernels, containers and operating systems are the areas where Ying Han describes bootstrapping foundational infrastructure projects. Han's Google roles are Director of Engineering Google Cloud since 2020, Senior Engineering Manager Container-Optimized OS (COS), Google Cloud (2015–2020), Engineering Manager Tech Lead Containers & Virtualization (2012–2015) and Engineering Manager Tech Lead Google Production Kernel (2007–2012).
Is this you? Claim your profile and get paid for calls.
Yugandhar Reddy
LinkedInExperience: Head of Engineering · Amazon Web Services (AWS)
Aurora MySQL is the work for Yugandhar Reddy as Head of Engineering at Amazon Web Services (AWS) since 2021. At NetApp, Reddy was Senior Director of HCI & CPE Engineering (2014–2021) and Director, Engineering Product Support (2011–2014), and describes over 20 years delivering serverless databases, cloud computing and hybrid cloud storage, a fit for managed database questions.
Is this you? Claim your profile and get paid for calls.
Choose the right perspective
Storage and fleet cost questions fit Ravi Aringunram, Poonam Bathla and Sridevi Ravuri, and GPU capacity and compute fit Frank Siegemund. Managed database questions suit Yugandhar Reddy, Jignesh Shah and Anupama Gadiraju, private and sovereign cloud suits Sanjeev Tyagi, and Ying Han and Belinda Runkle cover kernels, containers and serverless platforms.
Questions to take into the conversation
- 01Which storage or compute cost levers make the biggest difference at fleet scale, and which look good on paper but rarely pay off?
- 02How do you plan GPU capacity when training and inference demand changes faster than hardware deliveries?
- 03What changes in reliability engineering when a managed database or cloud service has to run in a customer's private or sovereign environment?
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot; roles marked former had ended by then. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.