Staff Software Engineer- Fullstack

We're looking for a Staff Full Stack Developer to help build and scale our AI-powered tools for application development. You'll work at the intersection of UI, backend, and AI-driven engineering — architecting solutions that improve developer experience, expand platform capabilities, and drive engineering excellence across the team. What you'll do: Design and implement AI-powered tools for application development, using cutting-edge technical approaches to deliver business value Architect and build core web technology stacks — authentication, event tracking, application platform, and design systems Drive architecture and engineering standards at the team and division level, promoting best practices for building modular, scalable web apps and APIs Design, develop, and maintain microservices-based applications on Kubernetes, improving scalability, reliability, and deployment speed Work closely with product, ML, and engineering teams to enhance developer experience, close technology gaps with creative solutions, and increase customer adoption Expand the product's reach to more customers, domains, and global markets while maintaining high engineering quality Integrate AI into engineering workflows and decision-making — using AI-powered tools, automating processes, and applying AI-driven insights to improve how the team builds and ships software Operate at a startup pace with a high degree of total ownership, even within a larger organization 10+ years of software engineering experience building scalable, high-quality applications Expertise in Java, JavaScript and modern UI frameworks — React, Angular, or Lit (required) Hands-on proficiency using AI tools (e.g., Copilot, Claude, or similar) in day-to-day development work is a must Strong command of UI design principles, usability, cross-browser compatibility, and accessibility standards Experience with REST, JSON, AJAX, and relational databases Experience with event-driven and stateless architectures, functional programming, and abstract data types (ADTs) Demonstrated experience driving architecture and engineering standards at a team or division level Strong critical thinking and a track record of integrating AI into engineering processes, workflows, or decision-making Excellent cross-functional collaboration skills and strong product sense BS or higher in Computer Science or a related field, or equivalent practical experience A constant thirst for learning and willingness to work outside your comfort zone Backend development experience with Java is an added advantage ServiceNow platform certification and/or development experience is a strong added advantage