Senior Software Engineer

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.

We're the engineering team behind Service Now University — the AI-powered learning platform serving millions of customers, employees and partners across the Service Now ecosystem. We sit within the Connected Customer Experience (CCx) org and own the full breadth of AI powered Learning platforms building delightful personalized customer experiences.

This role exists because our team is growing to support the increasing scope of our next generation of learning platforms — building scalable, AI native learning experiences across Service Now University for customer and employee enablement. If strategizing and building AI powered experiences with a fast phased innovation cycle to increase developer productivity with newer technology excites you, come join us.

Here's what that looks like day-to-day:

• Own
  design and implementation through test automation — on high-quality, clean, and scalable applications built on the Service Now AI Platform within the Connected Customer Experience (CCX) organization.

• Develop across the full stack of modern web technologies including JavaScript, React, Angular
  
  JS, HTML, CSS, SQL, and AI-integrated products.

• Drive AI-powered learning experiences by contributing to the integration of next-generation features such as RAG-informed learning tools and LLM-supported user experiences across Service Now University, employee learning, and sales enablement platforms.

• Contribute to scalable architectural decisions that support the long-term growth of our learning platforms, ensuring systems are built to evolve with the organization's expanding vision.

• Accelerate delivery by operating as a force multiplier within a dedicated workstream — identifying and solving ambiguous problems with autonomy, and helping the broader team meet key release milestones.

• Collaborate with CCX Product Owners, Solution Architects, and stakeholders to translate complex business requirements into elegant technical solutions that delight customers and end users.

• Lead and inspire fellow engineers through design thinking, prototyping, and a culture of innovation — helping the team find smarter, faster ways to build.

• Champion engineering excellence within a Scrum-based Agile environment, holding a high bar for reusability, componentization, and performance.

• Communicate technical merit clearly to both engineering peers and non-technical stakeholders, influencing solution decisions and strategic roadmaps without relying on formal authority.

• 12+ years of Full Stack Development (expertise in end-end enterprise grade application development, maintenance, & deployment covering all platform and UI/UX aspects).

• Proficient in modern UI frameworks such as Angular, React, Vue with strong JavaScript development skills.

• 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 developer productivity (Usage of Open AI, Windsurf, Cursor etc.)

• Exposure to or hands-on experience with GenAI solutions, including Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), or Agentic AI systems.

• Experience working across multiple technology stacks, including:

• Messaging Systems:
  Kafka, Dell Boomi

• Monitoring Tools:
  Splunk, Catchpoint

• Web Infrastructure: API Gateways, CDNs

• Cloud Platforms:
  Azure, AWS

• Advanced knowledge of data structures, algorithms, design patterns, and software performance tuning.

• Advanced experience…