Jobs at Juniper Square

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.

Lead the design and development of scalable full-stack web applications and distributed systems, guiding engineering teams and ensuring best practices in software development.

Lead development of foundational platform services, including identity, authorization, search, and API infrastructure. Design scalable architectures, optimize database performance, build internal developer tools, improve observability and frontend reliability, and collaborate with product teams. The role includes writing tested code, conducting reviews, documenting platform capabilities, supporting internal users, and evaluating or integrating AI-assisted development and LLM-powered systems.

Build and operate enterprise integrations across Salesforce, CPQ, contract management, NetSuite, Workato, and cloud data warehouses. Develop event-driven billing automation, MCP servers for internal AI agents, governed APIs, monitoring, security controls, and audit-ready integration processes. Own reliability, incident response, documentation, and on-call coverage while supporting the Lead-to-Cash transformation and other company-wide systems programs.

Own production dbt models and semantic-layer definitions for revenue metrics, including ARR, CARR, bookings, backlog, and churn. Translate Finance and business requirements into technical data specifications, reconcile metrics with NetSuite and financial close, build certified dashboards and AI-assisted reporting, and establish governance, testing, lineage, access controls, and measurement for the Lead-to-Cash program.