Servicenow Developer

Role & responsibilities:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6-10 years of software engineering experience, including at least 3 years of hands-on ServiceNow development.
• Strong ServiceNow development skills: JavaScript scripting (GlideRecord, Script Includes, Business Rules, Client Scripts), Flow Designer, and Service Catalog configuration.
• Working knowledge of ServiceNow ITSM modules and the CMDB.
• Experience building ServiceNow integrations with REST/SOAP, Scripted REST APIs, Import Sets, and Transform Maps.
• Strong Python (3.x) programming skills, including working with REST APIs, data processing libraries (pandas), and automated testing (pytest).
• Hands-on PySpark experience: DataFrame API, Spark SQL, joins and aggregations, and performance tuning.
• Strong SQL skills for data analysis, validation, and transformation.
• Experience with Git-based workflows and Agile/Scrum delivery.
• Good verbal and written English communication skills for working effectively with onshore and offshore team members.

ServiceNow Platform Development

• Design, develop, and configure ServiceNow applications and workflows across ITSM (Incident, Problem, Change, Request), Service Catalog, and CMDB, using server-side and client-side scripting (Business Rules, Script Includes, Client Scripts, UI Policies, UI Actions).
• Build automation using Flow Designer and Integration Hub, and develop custom scoped applications that follow ServiceNow best practices.
• Build and maintain integrations using REST and SOAP, Scripted REST APIs, Import Sets, Transform Maps, and MID Server, connecting ServiceNow with internal and external systems.
• Manage roles, ACLs, and data security, and promote changes across instances using update sets or source control.
• Troubleshoot and resolve platform defects, performance issues, and production incidents, including root-cause analysis.

Python Automation & PySpark Data Engineering

• Write Python for ServiceNow automation, data extraction, and integration using the ServiceNow REST APIs (such as the Table API), and for validation and utility tooling.
• Build PySpark pipelines to ingest, clean, transform, and aggregate large volumes of ServiceNow and operational data (incidents, changes, CMDB, SLA data) on a distributed processing platform.
• Optimize Spark jobs for performance and cost, including partitioning, join strategy, caching, and efficient file formats such as Parquet.
• Build curated datasets and data models for reporting, dashboards, and analytics, with data quality checks, reconciliation, and lineage.
• Schedule and monitor pipelines using an orchestration tool such as Airflow, AWS Glue, or Step Functions.

AI-Assisted Engineering (Required)

• Active, consistent use of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, or equivalent) in daily work, for code generation, test writing, debugging, and documentation.
• Validates all AI-generated code and scripts before committing or deploying them, including ServiceNow scripts and Spark transformations, and never treats AI output as production-ready without review.
• Handles prompts responsibly: never includes PHI, member or sensitive customer data, instance credentials, or proprietary code in prompts sent to external AI tools.
• Actively looks for ways to use AI assistance to improve productivity and code quality, and shares effective techniques with teammates.