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 productive 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.

📌 Servicenow Developer (Hyderabad)
🏢 Simplify Healthcare
📍 Hyderabad