# Director, Engineering (Platform) at Juniper Square

- Company: Juniper Square
- What the company does: 2,300+ private markets GPs rely on Juniper Square’s connected technology, unified data, fund administration expertise, and AI to raise capital more efficiently, streamline operations, and improve the LP experience. Backed by Felicis and Redpoint.
- Company website: https://www.junipersquare.com
- Type: Startups
- Level: Principal and up
- Location: Americas (USA or Canada)
- Work setup: Remote
- Pay: $230K to $285K base salary per year (USD)
- Posted: 2026-09-17
- Apply by: 2026-11-01
- Apply: https://jobs.ashbyhq.com/junipersquare/b29b0645-37ff-41d4-82aa-c2ebbf1bfa4c
- Page: https://www.1752.vc/careers/jobs/juniper-square-director-engineering-platform/

## About the role

Direct the Monolith Evolution: Own the multi-year technical strategy to safely decouple our legacy Python/Jinja monolith into a modern, modular FastAPI architecture using Domain-Driven Design and zero-downtime database migration tactics. Drive the AI-Native SDLC: Champion the rollout and adoption of AI-assisted coding tools and AI-augmented workflows across the entire engineering organization, systematically measuring and improving developer productivity.

## What they're looking for

- 15+ years of software engineering experience, with at least 5+ years in engineering leadership, including explicitly managing managers and leading multiple teams
- High AI Fluency: Proven experience architecting systems that support AI features (LLMs, RAG, tool calling) and a track record of driving AI-assisted development tools (AI SDLC) across engineering teams
- An executive track record of successfully guiding massive monolith-to-modular migrations and decoupling shared database schemas in high-traffic, business-critical environments
- Deep strategic understanding of Application Security principles, Identity/Access Management (OAuth 2.0, OIDC), and modern API traffic management
- Strong technical fluency in Python and FastAPI ecosystems, with the ability to guide Staff-level engineers through complex architectural decisions involving both modern APIs and legacy applications
- Exceptional executive communication skills, with the ability to translate complex technical, security, and AI trade-offs into business value

Tags: Engineering