Juniper Square
4 open TypeScript positions
Open Positions
Software Engineer II, Frontend (platform)
The Platform team seeks a Frontend Software Engineer II to develop and maintain shared frontend libraries, build pipelines, and developer tooling. Key responsibilities include enhancing workflows for frontend engineers, optimizing CI/Deployment, and advocating for modern development patterns and performance optimizations. Candidates should have 2-5 years of experience focusing on modern frontend frameworks like JavaScript/TypeScript, React, or Vue.
Software Engineer II, Accounting
The Software Engineer II on the Accounting team will work collaboratively with engineers and cross-functional partners to develop and enhance mission-critical General Ledger functionality using secure, scalable technology. Key responsibilities include implementing core accounting features, designing data models, developing APIs, and supporting the React frontend. The role requires 2-5 years of experience with web application frameworks and participation in testing, code reviews, and production issue management.
QA Automation Engineer II - India
The QA Automation Engineer II will collaborate with product and engineering teams to define and drive manual and automation testing efforts. Key responsibilities include reviewing specifications, identifying test cases for automation, and designing, developing, and executing test cases against product features. The role requires maintaining and extending the automation framework (Cypress/Playwright/Locust) and actively contributing to quality assurance best practices.
Technical Lead, AI Initiatives - India
The Technical Lead for AI Initiatives will drive the architecture, design, and execution of advanced AI systems, heavily involving LLM frameworks, multi-agent systems, and RAG pipelines. Key responsibilities include leading engineering teams, developing production-grade AI features, implementing rigorous model evaluation frameworks, and owning technical roadmaps. The role requires strong hands-on experience in building scalable AI solutions, integrating tools like MCP, and optimizing prompt engineering and agent workflows. Candidates must have deep experience with LLMs/agents and proficiency in relevant programming languages, coupled with the ability to lead technical strategy and execution.