Senior Software Engineer; Full Stack

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.

At Service Now, we’re redefining how users interact with our platform by building intelligent, intuitive, and personalized in‑product experiences powered by AI. Our team sits at the heart of this transformation, partnering closely with product, platform, and design organizations to bring advanced AI capabilities directly into the flow of work. We create seamless, context‑aware experiences that anticipate user needs, automate complex tasks, and elevate productivity across the entire Service Now ecosystem.

If you’re excited about shaping the future of enterprise software through cutting‑edge AI, this is the team where you can make a real impact.

• Build high‑quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)

• Partner with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high‑quality products to our users.

• Implement software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs.

• Contribute to the design and implementation of new products and features while also enhancing the existing product suite.

• 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.

• 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.

• Experience with data structures, algorithms, object‑oriented design, design patterns, and performance/scale considerations.

• Experience with JavaScript and distributed system designs.

• Analytical and design skills.

• Experience in leveraging or 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, Cursor, etc is a plus or nice to have.

• 4+ years of experience with JavaScript.

• 4+ years of experience in software engineering, with a track record of delivering high‑quality products.

• 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 systems and optimize performance across the stack.

• Experience with AI‑powered tools or workflows, including validation of datasets, model predictions, and inference consistency.

• Comfort…