Sr Application Developer - Servicenow

Uber Uber · Consumer · Amsterdam, Netherlands · Engineering

Senior ServiceNow Developer role focused on building and maintaining enterprise-scale solutions, including integrating and tuning Generative AI capabilities like Now Assist. The role requires strong ServiceNow development experience, system thinking, and the ability to navigate complex technical debt and legacy systems within a fast-changing environment.

What you'd actually do

  1. Design, develop, and optimize end-to-end solutions across HRSD,WSD and custom apps, ensuring our systems directly support how our global team moves and works.
  2. Deploy and tune Now Assist and Generative AI capabilities to drive self-service, making smart decisions with imperfect information to balance innovation with safety.
  3. Solve high-impact problems within Employee Onboarding and Lifecycle Events, often without a clear starting point, to create seamless transitions for every Uber employee.
  4. Lead technical workshops and conduct code reviews to ensure upgrade safety and architectural health, even when time is tight and stakes are high.
  5. Build and maintain robust integrations between ServiceNow and enterprise systems like Oracle HCM and JIRA, owning the work from initial design to production debugging.

Skills

Required

  • 8+ years of hands-on development and architecture experience on enterprise-scale ServiceNow implementations
  • Proficiency in ServiceNow Employee Workflows, specifically HRSD (Case Management, Onboarding) and Workplace Service Delivery (WSD)
  • Strong experience with JavaScript, Glide API, and ServiceNow scripting (Business Rules, Client Scripts, Script Includes)
  • Experience designing and implementing integrations using REST/SOAP APIs, IntegrationHub, and Flow Designer
  • ServiceNow Certified System Administrator (CSA) and Certified Application Developer (CAD) certifications

Nice to have

  • CIS - HRSD certification
  • Experience implementing ServiceNow ITSM and CMDB process for large enterprises
  • Experience governing "citizen development" by establishing guardrails and reusable components for low-code users
  • Experience using AI-powered tools (AI-assisted coding, debugging) within your daily engineering workflow
  • Background in mentoring mid-level engineers and leading technical initiatives across multiple teams
  • Systems thinking mindset with experience operating applications under strict security and compliance requirements

What the JD emphasized

  • enterprise-scale demands
  • technical debt and legacy complexity
  • rigorous architectural governance
  • AI capabilities
  • Generative AI capabilities
  • AI-powered developer tools