All remote jobs

Director, Engineering (Platform)

AI Summary
Juniper Square is seeking a Director of Engineering to lead the strategy and delivery of foundational platform capabilities across the engineering organization. The role leads engineering managers and senior technical staff while modernizing a Python/Jinja monolith into modular FastAPI services using domain-driven design and safe database migrations. It also owns AI-native engineering enablement, including internal SDKs, data pipelines, LLM integration tooling, and adoption of AI-assisted development workflows. The director will establish a shift-left AppSec program and oversee shared identity, audit logging, API gateway, and MCP gateway services. Success requires executive-level technical leadership, strong cross-functional alignment, and the ability to improve developer velocity while reducing operational and security risk.
Remote from
USA, Canada
Salary
USD 230k–285k / yr
Employment
Full Time
Experience
Director
Published
Apply before
8 Dec 2026
Listing views
53
Application actions
2
Application toolkit

Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

Opportunity details

About this role.

About Juniper Square

Private markets are one of the largest, most complex, and most underserved corners of global finance. Our mission at Juniper Square is to unlock their full potential. We’re the Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale with precision. With $300B+ under administration and 700,000+ LPs on platform, we’ve built the scale to match our ambition. And with JunieAI, our purpose-built AI platform, we’re reimagining how private markets operate, embedding intelligence across every workflow. Founder-led since 2014, backed by $350M+ in funding, and now 1,000+ employees strong, we’re building a company designed to shape the future of private markets for decades to come.

Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates. We think like owners, move with urgency, and take pride in solving hard problems that truly matter to our customers and the future of private markets. We believe the best ideas come from open debate, deep collaboration, and diverse perspectives, which is why we believe transparency is the default and feedback makes us stronger. If you’re energized by high standards, rapid growth, and the opportunity to help define a category at a pivotal moment, come join us!

Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time.

About your role

As the Director, Engineering you will lead the vision and execution for the foundational systems that power our entire engineering organization. Your mandate spans four critical pillars: architecting the modularization of our core Python/FastAPI monolith, accelerating our transition to an AI-native engineering culture, empowering product teams with tools to build AI-enabled features, and establishing a robust Application Security (AppSec) posture.

You will manage a group of engineering managers and staff engineers. You will act as a strategic multiplier for the company, treating our internal platform as a top-tier product. Your ultimate goal is to create secure, high-velocity “paved paths” that make our product teams incredibly fast, while systematically reducing technical debt and security risks.

What you’ll do

  • 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.

  • Enable AI Feature Development: Treat the internal platform as a product. Guide the development of intuitive SDKs, data pipelines, and internal tools that reduce cognitive load and allow product engineers to easily integrate LLMs and build AI-powered features.

  • Lead Application Security (AppSec): Champion a “shift-left” security culture. Embed secure coding practices, automated vulnerability scanning, and threat modeling directly into developer workflows, ensuring our core platform is resilient against modern threats.

  • Oversee Core Shared Services: Drive the scale, security, and reliability of enterprise-critical systems, including Identity (AuthN/AuthZ, OAuth2, RBAC), Audit Logs, and high-throughput API & MCP Gateways.

  • Navigate Org-Wide Boundaries: Negotiate complex refactoring timelines with Product leaders and collaborate seamlessly with other Engineering teams and DevOps to align our platform capabilities with infrastructure.

  • Build a World-Class Organization: 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.

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.

  • 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.

Compensation

Compensation for this position includes a base salary, bonus, equity and a variety of benefits. The U.S. base salary range is $230,000 – $285,000 USD. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

Benefits include:

  • Health, dental, and vision care for you and your family

  • Life insurance

  • Mental wellness coverage

  • Fertility and growing family support

  • Flex Time Off in addition to company-paid holidays

  • Paid family leave, medical leave, and bereavement leave policies

  • Retirement saving plans

  • Allowance to customize your work and technology setup at home

  • Annual professional development stipend

Your recruiter can provide additional details about compensation and benefits.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior, organization-wide technical leadership role involving a multi-year architecture transformation, AI enablement, and security modernization. It requires managing managers while making high-stakes trade-offs across product, platform, infrastructure, and business priorities.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$257,500
US market range (per year)$225k–$310k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a U.S. base-salary range of $230,000–$285,000 USD. The annual cadence is inferred from the magnitude and context of a U.S. director-level base salary, as the posting does not explicitly state “per year.” Estimated US market base pay for a comparable engineering platform director is approximately $225,000–$310,000 USD per year, excluding bonus and equity.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you approach decomposing a business-critical Python monolith without disrupting product delivery?

I would begin by mapping domains, dependencies, ownership, and database coupling, then establish a sequenced migration roadmap around high-value bounded contexts. I would use incremental extraction patterns, compatibility layers, observability, feature flags, and zero-downtime migration practices so teams can validate each step while continuing normal delivery.

How would you measure whether AI-assisted development tools are improving engineering productivity?

I would define a balanced scorecard that combines adoption and workflow metrics with quality outcomes. Measures could include cycle time, pull-request throughput, developer sentiment, review quality, escaped defects, security findings, and the time required to complete representative engineering tasks; I would avoid relying on code volume alone.

What does an effective shift-left AppSec program look like for a platform organization?

It embeds security into the paved path rather than creating a late-stage gate. I would prioritize secure defaults in libraries and templates, automated dependency and code scanning, threat modeling for material changes, clear remediation ownership, and risk-based escalation supported by security champions and actionable developer feedback.

How would you enable product teams to build AI features safely and consistently?

I would treat AI enablement as an internal platform product with well-documented SDKs, approved model access, retrieval and evaluation tooling, identity-aware authorization controls, auditability, and guardrails for data handling. Product teams should be able to use a supported path without each independently solving model routing, observability, security, and prompt evaluation.

How do you align platform investments with product leaders when refactoring work competes with feature commitments?

I would translate technical investments into product outcomes such as faster delivery, reliability, reduced incident risk, or support for strategic AI capabilities. By publishing a transparent roadmap, defining measurable milestones, and jointly prioritizing constraints and dependencies, platform and product leaders can make explicit trade-offs rather than treating foundational work as invisible overhead.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Next step

Apply now.

Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information.

Did you apply?Let us know, and we’ll help you track your application.

Continue on the employer website

Protect your personal information and never pay to secure an interview or job offer. .

Log in to save
One quick step before you apply

Sign in to continue.

Sign in or create a free account to continue to the employer's application.

Add alert
Jobs Talent AI Tools Salaries
Menu