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

Own CI/CD, infrastructure-as-code (Terraform), and release pipelines across KKR's AI and data services.
Manage cloud infrastructure, networking, secrets, and access controls in line with enterprise security and compliance standards.
Build observability, alerting, and incident response capabilities into every platform service.
Partner with AI Infrastructure and AI Engineering teams to streamline the path from commit to production.
Drive cost visibility and optimization across cloud and GPU spend, partnering with Finance and Technology leadership.
Establish operational standards — runbooks, on-call practices, post-incident reviews — that scale with the growth of KKR's AI footprint.
Continuously improve developer experience by automating toil and removing friction from common engineering workflows.

Qualifications

6+ years of experience in DevOps, SRE, or cloud platform engineering, ideally supporting data or AI workloads.
Strong Python (or Go) skills for automation and tooling.
Solid hands-on cloud experience across AWS, GCP, or Azure — equivalent to a strong mid-level practitioner.
Fluency with Kubernetes, Terraform, GitHub Actions or ArgoCD, and modern observability stacks (Datadog, Prometheus, Grafana).
Comfort supporting AI/ML workloads, including GPU instances, large model artifacts, and long-running training and inference jobs.
Calm under pressure during incidents, with a strong bias toward automation over manual toil.
Exceptional communication skills, with the ability to partner across engineering, security, and business stakeholders.

Preferred Qualifications

Experience operating cloud platforms in financial services or other regulated environments.
Familiarity with model serving infrastructure, GPU scheduling, or ML-specific operational patterns.
Exposure to FinOps practices and large-scale cloud cost optimization.
Contributions to open-source DevOps or platform tooling.
Advanced degree in a relevant field (Computer Science, Engineering, or equivalent).

KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email [HIDDEN TEXT]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to [HIDDEN TEXT]. Only emails left for this purpose will be returned.

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.

Data Engineer(DevOps)

DevOps Engineer - AI, Data & Platforms