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Bengaluru, Karnataka, India
Hybrid
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.
We are seeking a highly skilled Full Stack Senior Technical Lead to architect, design, and oversee the development of scalable web applications and distributed systems. The ideal candidate brings strong backend expertise in Python (FastAPI preferred) or Java, combined with solid frontend development experience using ReactJS and TypeScript.
This role will lead the design and delivery of end-to-end systems—from user-facing applications to backend services and cloud infrastructure. You will guide engineering teams, drive architectural decisions, and ensure best practices across the full software development lifecycle.
Experience leveraging AI tools and building AI-driven solutions will be a significant advantage, especially for developing intelligent features, automation, and data-driven capabilities within products.
Lead the architecture and design of full-stack applications, including frontend interfaces, backend services, and cloud infrastructure.
Provide hands-on technical guidance to engineering teams and mentor developers across frontend and backend domains.
Define coding standards, enforce code quality, and conduct thorough code reviews.
Drive end-to-end delivery, from architecture and development to deployment and maintenance.
Architect and build backend services using Python/FastAPI (preferred) or Java (Spring Boot/Quarkus).
Design and implement scalable RESTful and GraphQL APIs with a strong focus on performance, security, and maintainability.
Build asynchronous processing pipelines and microservices using tools like Celery, RabbitMQ, Redis, or similar message brokers.
Design efficient database schemas and queries using PostgreSQL, MySQL, or NoSQL databases.
Implement caching strategies and optimise backend services for high throughput and reliability.
Develop modern web applications using ReactJS and TypeScript.
Design reusable UI components and scalable frontend architecture.
Implement state management, API integrations, and responsive user interfaces.
Collaborate closely with design and product teams to deliver intuitive user experiences.
Ensure frontend applications maintain high standards of performance, accessibility, and maintainability.
Deploy, manage, and optimise applications on AWS (EC2, ECS/EKS, Lambda, S3, RDS, CloudWatch, IAM, etc.).
Implement CI/CD pipelines, automated testing, and environment provisioning.
Use Docker and Kubernetes for containerization and microservice orchestration.
Ensure system observability through logging, monitoring, and distributed tracing.
Lead discussions on scalability, distributed architecture, caching strategies, and event-driven patterns.
Design full-stack solutions that balance performance, reliability, and user experience.
Drive adoption of cloud-native architectures and modern engineering practices.
Ensure adherence to security best practices and compliance standards.
Leverage modern AI tools and frameworks to enhance developer productivity and product capabilities.
Contribute to or lead the development of AI-powered features, such as intelligent search, conversational interfaces, recommendation systems, or automation tools.
Work with technologies such as LLMs, embeddings, semantic search, and RAG pipelines where relevant.
Evaluate opportunities to integrate AI-driven capabilities into existing products and workflows.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
10-13 years of software engineering experience, with at least 3+ years in a technical leadership role.
Strong expertise in:
Python (FastAPI preferred) OR Java
ReactJS and TypeScript
REST and GraphQL API development
Asynchronous processing (Celery or similar)
AWS cloud services
Docker, Kubernetes, and containerization
Solid understanding of:
Microservices architectures
Distributed systems design
SQL and NoSQL databases
CI/CD pipelines
Monitoring and observability frameworks
Experience building AI-driven applications or integrating AI capabilities into products.
Experience with event-driven systems such as Kafka, SNS/SQS.
Exposure to Domain-Driven Design (DDD) and clean architecture principles.
Knowledge of Infrastructure as Code (Terraform or CloudFormation).
Experience with performance tuning, load testing, and AWS cost optimization.
Strong leadership, mentoring, and stakeholder management abilities.
Excellent communication and documentation skills.
Analytical mindset with strong problem-solving capabilities.
Ability to operate effectively in a fast-paced, agile environment.