Srinivasa Murthy in

Srinivasa Murthy

Critic · DISC type C
Technical Recruiter at Visa
📍 Bengaluru, Karnataka, India

Srinivasa is a Tech Talent Advisor at Visa with extensive experience in technical recruiting for major companies like Amazon and VMware. He holds an MBA from Sri Krishnadevaraya University. People who have worked with him often describe him as hard-working, sincere, and dedicated.

He is currently focused on building Visas first AI-first Open Banking engineering team from the ground up in Bengaluru.

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Experience
15 Years
Current Role
Technical Recruiter
Job Level
Junior
Location
Bengaluru, Karnataka, India
Personality Overview

How Srinivasa shows up

Objective Thinker
Precise
ROI Driven

They like to take decisions independently and do not seek others' support often. They prefer to analyze logically and value objective facts over emotions. They are quite likely to negotiate on pricing or other key terms.

Priorities

Topics Srinivasa cares about

AI-First Teams
Actively building and hiring for Visa's first AI-first Open Banking team in Bengaluru, where developers will pair with GenAI agents.
Open Banking
He is heavily involved in expanding Visa’s Tink platform, which connects to over 3, 400 banks and serves more than 250 million users across Europe and the US.
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Career

Work history

7-2019
Technical Recruiter
Visa
4-2018 - 6-2019
Senior Technical Recruiter
VMware
5-2016 - 3-2018
Technical Recruiter
Amazon
11-2012 - 5-2016
Senior Consultant
RGF India (Recruit Holdings Co.,Ltd)
4-2010 - 7-2012
Technical Resource Executive
Apar Technologies Pte Ltd, Singapore
In the press

Media appearances

No media yetWe could not find public media appearances for this person.
Education
Master of Business Administration (M.B.A.)
Sri Krishnadevaraya University
Bachelor of Science (B.Sc.)
Bangalore University
Social presence
in
Behavioral profile

DISC profile (public)

C

Calculativeness (C)

Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.

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