Senior Software Engineer - Full Stack

ServiceNow•San Francisco, CA

17h•Hybrid

About The Position

About the Team: The engineering organization is a dynamic group of builders, thinkers, and problem-solvers dedicated to delivering scalable, AI-powered software products that elevate how organizations work. We value clean architecture, intuitive user experiences, and a culture of continuous improvement. Every engineer here plays a key role in shaping the quality and reliability of our products. CPQ AI is the ServiceNow team responsible for building, maintaining, and troubleshooting the full-stack systems that power intelligent configuration and quoting. Operating within the CRM Business Unit, the team develops AI-powered sales tools — including Config AI and Quote AI — spanning backend multi-agent orchestration and context graphs through to the user-facing interfaces through which sales reps interact with AI recommendations, review proposals, and generate quotes, and administrators configure and manage the platform. The team drives customer-focused adoption, reduces setup effort, and lowers support burden while shipping features grounded in real customer feedback. What you get to do in this role: Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability. Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery. Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs. Contribute to the design and implementation of new products and features while enhancing existing product capabilities. Integrate automated testing into development workflows to ensure consistent quality across releases. Participate in design and code reviews ensuring best practices in performance, maintainability, and testability. Develop comprehensive test strategies covering functional, regression, integration and performance aspects. Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality. Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team.

Requirements

Proficiency in Python, Java, or similar object-oriented languages.
Experience in JavaScript, TypeScript, CSS, and UI frameworks.
Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization.
4+ years of experience in software engineering, with a track record of delivering high-quality products.
Experience with modern front-end frameworks such as React, or Vue.
Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines.
Understanding software quality principles including reliability, observability, and production readiness.
Ability to troubleshoot complex systems and optimize performance across the stack.
Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems.

Nice To Haves

Experience in leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
Experience in using AI Productivity tools such as Windsurf or Cursor is a plus.

Responsibilities

Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.
Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery.
Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.
Contribute to the design and implementation of new products and features while enhancing existing product capabilities.
Integrate automated testing into development workflows to ensure consistent quality across releases.
Participate in design and code reviews ensuring best practices in performance, maintainability, and testability.
Develop comprehensive test strategies covering functional, regression, integration and performance aspects.
Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality.
Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team.