Software Engineer – Investment Systems

TEAM OVERVIEW

The Investment Technology group at KKR builds and operates the systems that power the entire investment lifecycle—from deal sourcing and portfolio construction to risk management and monetization. We design platforms that connect data, people, and insights across Private Equity, Credit, Real Estate, Infrastructure, and Capital Markets, enabling investment teams to make faster, smarter decisions at scale. Our mandate is to transform how KKR invests by engineering shared, data-driven platforms that replace fragmented legacy tools with integrated solutions that drive efficiency, transparency, and alpha generation.

POSITION SUMMARY

As a Lead Engineer, you will serve as a senior hands-on technical leader responsible for coordinating cross-functional execution and delivering larger, more complex initiatives. You’ll combine strong architectural understanding with delivery leadership, ensuring teams execute effectively through ambiguity.

RESPONSIBILITIES

• Lead planning and execution of larger technical initiatives.
• Drive technical design for complex features and systems.
• Coordinate work across engineers, product partners, and stakeholders.
• Identify and remove execution blockers to improve delivery efficiency.
• Mentor engineers and strengthen technical depth across the team.
• Ensure systems are reliable, scalable, and aligned with platform strategy.

QUALIFICATIONS

• 8+ years of experience building enterprise-grade software solutions.
• Bachelor’s degree in computer science, engineering, or a related field preferred; or equivalent practical experience.
• Extensive experience delivering complex, multi-component systems.
• Strong architectural intuition and execution discipline.
• Ability to lead technical delivery through ambiguity.
• Proven track record of mentorship and technical influence.
• Strong sense of ownership for outcomes and system health.

TECH STACK

AWS (EKS, RDS, Aurora), Python (FastAPI), React, PostgreSQL, Redis, Kestra (job scheduling), PySpark (ETL / Medallion model), with AI-assisted development tools used across the SDLC.

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