Senior Software Engineer - UI

Company DescriptionIt 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 — ServiceNow 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. Job DescriptionPlease Note: The primary working hours for this position are aligned to Pacific Standard Time (PST). Candidates must be willing and able to flex their schedule to support collaboration across multiple time zones on an as-needed basis. As a Sr. Software Engineer you will be a member of our Global Cloud Services organization. In this challenging role, you will have the opportunity to build next generation customer facing cloud Observability tools. You will also work cross functionally with multiple teams on the design, architecture and implementation of our Observability platform with the focus on AI powered UX that enables self-service monitoring for our customers. This role requires the candidate to spend 90% of time on UI development and 10% on backend development. 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 deliveryBuild 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 aspectsFoster a culture of continuous learning and improvement by sharing best practices in engineering and qualityPromote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team.Develop High-Quality, Scalable, and Reusable Code Using AI-Assisted Tools Write clean, maintainable, and modular code by applying best practices in software architecture and engineering and leverage AI-assisted design and development tools to accelerate implementation and enforce consistency across the codebase. Own the End-to-End Software Development Lifecycle (SDLC) Collaborate closely with product owners to gather detailed requirements and translate them into technical solutions. Drive the full SDLC—from rapid prototyping to design, implementation, testing, and deployment—using AI-powered code generation, testing, and CI/CD tools to ensure speed and quality. Design and implement Observability products and features that are AI-native Embedding intelligent capabilities such as automation, personalization, and predictive insights into the core of the user experience. Act as a mentor to peers and junior engineers by sharing AI/ML and software engineering knowledge through code reviews, design sessions, and technical discussions. QualificationsTo be successful in this role you have: 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.Proven experience designing and delivering AI-powered user experiences, including conversation design, LLM integration, prompt engineering, and retrieval-augmented generation (RAG).1+ years of integrating Copliot/windsurf (or equivalent)5+ years of experience in software engineering, with a track record of delivering high-quality products + reviews risks with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.Strong knowledge of UX principles (human-centered design, trust, transparency, error recovery) and ability to apply them to autonomous and semi-autonomous AI agents. Deep knowledge of Javscript, AJAX, JSON, HTML, XML, CSS, REST, High charts and associated frameworks Passion for evaluating root causes with LLMs and problem solving, domain expertise preferred Strong skills in Java and related frameworks Strong skills in CI/CD pipelines, containerization (Kubernetes, Docker), and cloud-native deployments using AI-assisted tools Strong in query language - SQL, Prometheus Query Language Preferred: Experience in leveragi