DevOps Engineer - AI, Data & Platforms

COMPANY OVERVIEW

KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.

KKR's Gurugram office provides best in class services and solutions to our internal stakeholders and clients, drives organization wide process efficiency and transformation, and reflect KKR's global culture and values of teamwork and innovation. The office will contain multifunctional business capabilities and will be integral in furthering the growth and transformation of KKR.

TEAM OVERVIEW

KKR's Technology team operates as a strategic partner to the business, driving the tools, platforms, and capabilities that enable KKR's investment professionals and operational teams to work with greater speed, precision, and insight. The DevOps function sits within the Technology organization and is responsible for the reliability, automation, and developer experience of the platforms that support KKR's AI, data, and application teams.

POSITION SUMMARY

KKR is looking for a DevOps Engineer to join our Technology team in Gurugram. This role is responsible for the operational backbone of KKR's AI platform — owning CI/CD, cloud infrastructure, and the day-to-day reliability of the systems that AI Engineering, AI Infrastructure, and Data teams depend on. Reporting into the DevOps and Cloud Platform leadership team and working in close partnership with AI Infrastructure and AI Engineering, this role will build the paved roads that make secure, reliable, cost-efficient delivery default across KKR's AI estate. The role is suited to an engineer who takes pride in automation, treats observability as a first-class concern, and is energized by the operational realities of running AI workloads at enterprise scale.

We are operating in a 4-day in office, 1-day flexible work arrangement.

ROLES AND RESPONSIBILITIES