Software Engineer - Data Distribution / Data Intelligence
Careers at KKR
| Company | Careers at KKR |
| Category | Engineering |
| Location | Boston |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 17 Apr 2026 |
| Last verified | 1 Aug 2026 |
| Source | Employer career page (greenhouse) |
Description
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.
TEAM OVERVIEW
The ADAPT (AI, Data, and Platform Technologies) Engineering team is integral to KKR's technological strategy, architecting and supporting the firm's foundational data and AI capabilities. This team is recognized as a key enabler for global scale and business transformation, driving excellence by evolving technology into robust, platform-based solutions that enhance agility and deliver material business impact.
POSITION SUMMARY
KKR is seeking a Software Engineer to join the core Data Platform Engineering team in Boston or NYC. This individual will serve as the technical anchor for the team responsible for Data Explorer , the firm’s primary governed data exchange platform, and for the data solutions that form the platform’s intelligence layer.
Data Explorer is evolving from an internal data catalog into a unified, governed interface for discovering and accessing structured data products, AI-powered document analysis, business intelligence assets, and secure external client data. In parallel, the team is building unified Data Rooms and AI-powered analytics experiences that provide users with governed answers and insights—not simply access to raw tables and reports.
This is a pivotal, hands-on technical leadership role with ownership of the end-to-end architecture across modern web applications, API and service layers, cloud data platforms, identity and access controls, AI-enabled user experiences, and business intelligence integrations. The successful candidate will set engineering standards, mentor senior engineers, and lead the team through its most complex cross-cutting design challenges, including external-facing security, AI and user-experience integration, and BI platform consolidation.
The role operates within a Data Engineering and Data Operations model in which Data Operations owns business requirements and roadmap priorities—the “what”—while the Principal Software Engineer leads technical design, implementation strategy, and engineering execution—the “how.”
This is an onsite role, with an expectation of working from KKR ’s Boston office four days per week, or the New York City office five days per week.
KEY RESPONSIBILITIES
Own the technical architecture and guide roadmap execution for Data Explorer, including its React and TypeScript front end, solution backend, API and service layers, and cloud data integrations.
Translate product and operational priorities into scalable technical designs across Data Explorer’s core capability areas: report consolidation, persona-based landing experiences, Sigma integration, AI and Data Rooms, external client access, and administrative and user-support capabilities.
Lead the design and delivery of secure external client access, including dedicated authentication flows, client-specific entitlements through Saviynt, and simplified user experiences for non- KKR users.
Establish secure, scalable access patterns for external clients and constituents, including ABF , TPA , and LP users, within a SOX -aligned control environment.
Build the AI-powered data solutions layer, including unified Data Rooms that r