> Markdown version of [/jobs/ext/4407925-software-engineer-investment-systems-new](https://www.wearedevelopers.com/jobs/ext/4407925-software-engineer-investment-systems-new). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Investment Systems New - **Company:** Kohlberg Kravis Roberts & Co. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $150,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Extract Transform Load (ETL), Job Scheduling, Python (Programming Language), PostgreSQL, Systems Development Life Cycle, Redis, Software Systems, ReactJS, Fastapi, Pyspark, Information Technology - **Published:** October 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8263c691a80a7302 ## About the Role * 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. ## Description 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., * 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.