Job Description

Job Description:

Must Haves:

• 3 to 5 years' experience in ServiceNow development, particularly Service Catalog module, using Yokohama version or higher.
• 3 to 5 years' experience in Agile/Scrum.
• 3 to 5 years' experience on Service Now - Business rules and Scripting and application development.
• 3 to 5 years' experience on ServiceNow - ATF scripting or other automated testing tools.
• 2 to 3 years' experience on Integration and API development (using REST, JSON, etc.)
• Must have both SN CSA Certification and CAD Certification.
• Experience on NowAssist Agentic AI (Conversational Catalog, etc.)
• 2 to 3 years' experience in ServiceNow ECPro or latest portal development.

Nice to have:

• 2 to 3 years' experience on ServiceNow ECPro or latest portal development
• 2 years' experience on Catalog Builder or equivalent citizen developer tools and process.
• Proficiency on Report Analytics, Workspace, Survey, ITSM, CMDB and other SN modules is a plus.
• Experience on APIGEE, ESGA, Ansible, Amelia or other orchestration and interface tools is preferred.

Daily Responsibilities:

• Participate in Agile ceremonies (Daily Stand-ups, Sprint Planning, Reviews, and Retrospectives) to support sprint execution and continuous improvement.
• Design and develop ServiceNow Service Catalog solutions, including catalog items, UI forms, workflows, and integrations.
• Implement features based on user stories and acceptance criteria, ensuring alignment with business requirements.
• Perform unit testing and support end-to-end SDLC processes, including development, testing, and deployment.
• Manage update sets for code packaging and promotion across environments for release.
• Troubleshoot and resolve production defects, performing root cause analysis and implementing fixes.
• Collaborate with cross-functional engineering teams through developer calls and technical discussion

AI Requirements:

• Demonstrate knowledge in using AI-assisted development and analysis tools (e.g., GitHub Copilot and NowAssist Agents)
• Demonstrate proficiency in using AI-assisted development and analysis tools (e.g., GitHub Copilot and approved code-centric agents)
• Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
• Apply strong technical judgment when validating and integrating AI-assisted outputs into solutions
• Apply AI responsibly in development and production environments
• Ensure AI usage aligns with security, compliance, privacy, and ethical standards.
• Understand and account for model limitations, security risks, and operational considerations.

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