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Salary: USD 230,000 - 285,000 / annual
Juniper Square is a leading operations platform for private markets, serving 2,300+ GPs with $300B+ under administration. The company unifies technology, data, and fund administration services, and is now introducing JunieAI, a purpose-built AI platform for private markets workflows.
As Director of Engineering (Platform), you will lead the foundational systems and infrastructure that power the entire engineering organization. You will manage a group of engineering managers and staff engineers, acting as a strategic multiplier by treating the internal platform as a top-tier product.
Key responsibilities include:
- Direct the multi-year technical strategy to safely decouple the legacy Python/Jinja monolith into a modern, modular FastAPI architecture using Domain-Driven Design and zero-downtime database migration tactics.
- Champion the rollout and adoption of AI-assisted coding tools and AI-augmented workflows across the engineering organization, systematically measuring and improving developer productivity.
- Guide development of intuitive SDKs, data pipelines, and internal tools that reduce cognitive load and enable product engineers to easily integrate LLMs and build AI-powered features.
- Champion a "shift-left" security culture by embedding secure coding practices, automated vulnerability scanning, and threat modeling directly into developer workflows.
- Drive the scale, security, and reliability of enterprise-critical systems including Identity (AuthN/AuthZ, OAuth2, RBAC), Audit Logs, and high-throughput API & MCP Gateways.
- Negotiate complex refactoring timelines with Product leaders and collaborate with other Engineering teams and DevOps to align platform capabilities with infrastructure.
- Recruit, mentor, and grow a high-performing organization of engineering managers and staff/principal engineers, fostering a culture of architectural pragmatism and deep developer empathy.
The company operates with a digital-first hybrid model across 27 U.S. states, 2 Canadian provinces, India, Luxembourg, and England, with physical offices in San Francisco, New York City, Mumbai, and Bangalore.
QUALIFICATIONS:
- 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.
- 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.
