Software Engineer, Cloud Engineer - Software

Join to apply for the Staff Software Engineer role at Service Now

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI‑enhanced technology to over 8,100 customers, including 85 % of the Fortune 500®. Our intelligent cloud‑based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

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.

IT Operations Management (ITOM) team focuses on building and enhancing Service Now’s capabilities, which deliver observability, incident response, and service reliability through modern, AI‑native workflows. These solutions integrate monitoring, alerting, and automated remediation to optimize operational efficiency and reduce downtime for enterprise customers, sometimes by hooking directly into third‑party applications. A Staff Software Engineer (IC4) in this high‑visibility team would play a critical role in designing and implementing scalable systems, driving architectural decisions, and developing robust features that improve platform performance and resilience for high‑impact products in the Service Now AI‑native portfolio.

The role also involves mentoring junior engineers, ensuring code quality, and collaborating cross‑functionally to deliver innovative solutions aligned with business objectives.

• 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.
• Build integrations with third‑party applications using their cutting‑edge frameworks.

• 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.
• Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience.
• Proficiency in Python, Java, or similar object‑oriented languages.
• Experience with modern front‑end frameworks such as Angular, React, or Vue.
• Strong knowledge of data structures, algorithms, object‑oriented design, design patterns, and performance optimization.
• 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…