Technical Lead (Platform) - India

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 the role

We’re looking for a Technical Lead to join our Platform team. The Platform team builds and maintains foundational services like Identity and Access management, authorization, Search, and API infrastructure, while also developing tools, frameworks, and enhancements to improve the developer experience across the entire software development lifecycle.

What you’ll do

Work with engineers, designers, and product managers to turn our product and technical vision into code.

Advocate for and implement modern architectural patterns.

Extend existing functionality to handle our rapidly increasing scale.

Monitor and optimize database queries to increase performance.

Create internal tools to support other engineers and other departments, to make their jobs more efficient.

Produce high-quality, thoroughly tested code and perform code reviews for colleagues.

Provide guidance, documentation, and support to product teams using the platform.

Use observability tools to measure and enhance frontend application performance and reliability.

Work closely with product engineers to align on platform improvements.

Qualifications

6-10 years of experience designing, building, and supporting large scale systems in production.

Expertise in Python and frameworks like FastAPI, Flask, Pyramid, Django.

Experience with SQL database schema design and query optimizations.

Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.

Experience with continuous integration and Infrastructure as Code.

Strong problem-solving skills and ability to work independently while collaborating effectively within a team.

Passion for improving developer experience through better tooling, automation, and documentation.

You are flexible and adaptable—you will be juggling multiple projects in a fast-paced startup environment.

Nice to Have and AI Experience

Experience working on a Platform team/building tools for other developers.

Experience building products or tools using GenAI/LLMs.

Experience working with GraphQL.

Experience decomposing a large monolith into microservices.

Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases introduced by AI-assisted development

Experience building and shipping production-grade software using AI-assisted workflows across the full SDLC

Hands-on experience developing or integrating LLM-powered systems (e.g., agents, copilots, tool-using workflows, or multi-step reasoning systems)

Familiarity with patterns such as tool-calling agents, planning/execution loops, and retrieval-augmented generation (RAG)

Demonstrated ability to leverage modern AI tools to improve development velocity, code quality, and problem-solving

Experience contributing to AI-powered features (e.g., intelligent search, conversational interfaces, recommendations, automation)

Working knowledge of LLMs, embeddings, semantic search, and RAG pipelines

Ability to identify and evaluate opportunities to integrate AI capabilities into products and workflows