To 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.
  - 7+ years of combined experience in ServiceNow development and any object-oriented language.
- ServiceNow development expertise with a balanced focus on both frontend and backend components
- Advanced proficiency in JavaScript, Glide scripting, Business Rules, and UI policies
- Familiarity with ServiceNow products Virtual Agent, Now Assist and integration Hub.
- Solid background in data structures, algorithms, object-oriented design, design patterns, and performance/scalability optimization
- Practical experience with modern UI frameworks such as Angular, React Experience integrating Agentic AI for automated decision-making and workflow orchestration.
- In-depth understanding of ITIL processes, with specialization in Incident, Change, Request, and Problem Management
- Proven hands-on skills in REST/SOAP API integrations and working with external AI models.
- Exceptional analytical abilities to troubleshoot and optimize ITSM operations and workflows.
- Backend development experience using Python, Django, and REST API framework is an added advantage.
- ServiceNow Certified System Administrator/Application Developer (CSA/CAD), CIS-ITSM, and CTA certifications (preferred)
- Understanding of Azure OpenAI or similar AI frameworks.
- Hands-on experience with AI/ML models, RPA tools, and predictive intelligence solutions is an added advantage.
· Experience in leveraging 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.
 · 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 with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems
 Why Join Us
 · Build and deliver high-impact software that powers digital experiences for millions of users.
 · Collaborate in a culture that values craftsmanship, quality, and innovation.
 · Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability.
 · Be part of a culture that encourages innovation, continuous learning, and shared success.
  
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