Staff Software Engineer

<p>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.</p><p><strong>What you get to do in this role:  </strong>&#xa0;</p><ul><li>Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.</li><li>Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI.</li><li>Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments.</li><li>Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery</li><li>Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.</li><li>Contribute to the design and implementation of new products and features while enhancing existing product capabilities.</li><li>Integrate automated testing into development workflows to ensure consistent quality across releases.</li><li>Participate in design and code reviews ensuring best practices in performance, maintainability, and testability.</li><li>Develop comprehensive test strategies covering functional, regression, integration and performance aspects</li><li>Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality</li><li>Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team.</li></ul> <p><strong>To be successful in this role you have:</strong></p><ul><li>Experience in leveraging or critically 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.</li><li>Proven ability to design and implement AI-native software in production environments.</li><li>6–12&#xa0;years of experience Full Stack Engineering experience, with a track record of delivering high-quality products.</li><li>Proficiency in Python, Java, or similar object-oriented languages.</li><li>Experience with modern front-end frameworks such as Angular, React, or Vue.</li><li>Passion for JavaScript and the Web as a platform, reusability, and componentization</li><li>Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization</li><li>Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines</li><li>Understanding software quality principles including reliability, observability, and production readiness.</li><li>Ability to troubleshoot complex systems and optimize performance across the stack.</li><li>Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency.</li><li>Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems</li></ul><p><strong>Preferred:</strong></p><ul><li>Technical leadership experiences</li><li>System design and software architecture related experience</li></ul><p><strong>Nice to have:</strong></p><ul><li>AI Agents</li><li>Prompt Engineering</li></ul> <p><strong>Work Personas</strong></p><p>We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. <a href="https://careers.servicenow.com/life-at-servicenow#workpersonas"><u ... (truncated, view full listing at source)