The former Google executive most recently served as vice president and head of Engineering for Economy BU at software company Atlassian.

Cybersecurity firm Securonix has appointed Indian American technology expert Venkat Kotla as its Chief Technology Officer. He is responsible for “leading and scaling the company’s engineering function and fostering partnerships with leading technology organizations to support the growing demand for the company’s Unified Defense SIEM platform,” the company said in its announcement.

Kotla has more than 25 years of experience at world class enterprise software companies, and an “established track record of driving engineering innovation at global organizations,” the company said. According to CEO Nayaki Nayyar, Kotla’s “deep experience with advanced technologies, including AI, successfully expanding technology partnerships and streamlining processes across multiple stakeholders will be invaluable in driving product development that protects our customers from internal and external threats.”

In a statement, Kotla said he’s “excited to join a team that is hyper focused on product development and deeply committed to innovation.” He said he’s looking forward to “working with the leadership team to incorporate advanced technologies into the platform and aggressively develop new partnerships with the world’s leading technology providers.”

Kotla most recently served as vice president and head of Engineering for Economy BU at software company Atlassian. There, “he helped grow the Economy line of business to more than $500 million ARR, which empowered global organizations to become more nimble, creative and aligned with the marketplace, ecosystem, partnerships, distribution and commerce billing platform,” the company said.

Before joining Atlassian, he spent over 14 years in senior engineering leadership roles at Google. He spent more than three years at Google as the senior director of Engineering for Google Assistant and the Google Looker, a multi-cloud enterprise SaaS for business intelligence, data applications, and embedded analytics.