Teams at Juniper Square

Leads the founding Web Reporting engineering team in India, hiring and developing 5–7 engineers while owning technical direction and roadmap delivery. Oversees Python services, React/TypeScript frontends, SQL-heavy data pipelines, Redshift-backed systems, AI integration, testing, observability, incident response, and financial reporting accuracy. Partners across product, design, data platform, and North American teams to build scalable, secure, API-driven reporting products.

Lead the architecture, development, deployment, and maintenance of scalable full-stack applications and distributed systems. Provide technical leadership and mentorship across backend, frontend, cloud, and DevOps disciplines. Build Python or Java services, React and TypeScript interfaces, APIs, asynchronous pipelines, microservices, and cloud-native infrastructure. Drive system design, performance, security, observability, code quality, and end-to-end delivery. AI-driven application development is an advantage.

Design and implement scalable data models, ETL/ELT pipelines, analytics infrastructure, and backend services. Serve as the team’s data technical expert, advise product and development teams on instrumentation and reporting, establish governance and access controls, and document architecture and data definitions. Build data products that support internal and customer decision-making while collaborating across engineering and business teams. Apply modern AI tools and patterns to improve development velocity and data capabilities.