Senior Technical Lead - CRM - India

Our mission is to unlock the full potential of private markets. Privately owned assets like commercial real estate, private equity, and venture capital make up half of our financial ecosystem yet remain inaccessible to most people. We are digitizing these markets, and as a result, bringing efficiency, transparency, and access to one of the most productive corners of our financial ecosystem. If you care about making the world a better place by making markets work better through technology – all while contributing as a member of a values-driven organization – we want to hear from you. 

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.

We are looking for a Senior Technical Lead to architect, build, and scale mission-critical, public-facing APIs. This role combines deep hands-on engineering with technical leadership, architectural ownership, and mentorship.

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  Architecture & System Design

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  Own end-to-end architecture of public-facing API platforms

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  Design scalable, multi-tenant, distributed systems with high availability

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  Drive API standards: versioning, backward compatibility, documentation, governance

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  Define security, rate limiting, and abuse prevention strategies

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  Lead performance optimisation and reliability initiatives

• Build and review high-quality backend services using Python and FastAPI

• Architect and optimise asynchronous systems using Celery

• Design and tune complex schemas and queries in PostgreSQL

• Lead production readiness, observability, and incident response improvements

• Drive AWS infrastructure architecture decisions

• Mentor backend engineers and raise engineering standards

• Lead design reviews and establish coding best practices

• Partner with Product, Frontend, DevOps, and Data teams

• Drive the technical roadmap and manage technical debt strategically

• Influence long-term platform scalability decisions

• 9.5-12 years of backend engineering experience with strong production ownership

• Deep expertise in Python/Java and modern API frameworks (FastAPI preferred)

• Proven experience designing and scaling public-facing APIs

• Strong system design expertise (distributed systems, scalability, fault tolerance)

• Extensive experience with PostgreSQL (performance tuning, indexing, transactions)

• Strong experience with Celery or distributed task processing systems

• Hands-on experience with Redis and caching strategies

• Advanced experience with AWS (ECS/EKS, RDS, Lambda, S3, API Gateway, networking)

• Experience implementing secure API architectures (OAuth2, JWT, RBAC, WAF)

• Experience with Docker, CI/CD pipelines, and Infrastructure as Code

• Experience operating high-traffic, production-critical systems

• Experience designing multi-tenant or external partner APIs

• Experience leading backend teams in a product-driven environment

• Experience designing API platforms consumed by third parties

• Frontend exposure (React / Next.js / TypeScript)

• Experience with GraphQL

• Experience building developer platforms or SDKs

• 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