Software Engineer III- Servicenow

JOB DESCRIPTION

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Infrastructure Platforms team, you will be a seasoned contributor responsible for building, testing, and maintaining a strategic, enterprise-wide ServiceNow service management platform. You will own development activities for solutions that integrate ServiceNow with existing firm platforms, applying strong problem-solving skills to analyze business challenges and proactively recommend approaches that prioritize out-of-the-box functionality over customization. The ideal candidate brings a strong understanding of ServiceNow configuration best practices, demonstrates sound judgment in balancing configuration versus customization to manage platform risk, and has advanced scripting experience along with an advanced ServiceNow certification (e.g., CIS or CAD).

Job responsibilities

• Build, test, and maintain an enterprise-wide ServiceNow service management system, and own development tasks for solutions integrating ServiceNow with existing company platforms.
• Analyze business challenges and proactively recommend solutions that prioritize out-of-box functionality over customization.
• Develop and modify ServiceNow workflows, forms, lists, business rules, Script Includes, and UI components.
• Deliver solutions through configuration and customization across UI, workflow administration, reporting, data imports, integrations, custom scripting, and third-party integrations while applying best practices.
• Review and assess the effectiveness and efficiency of existing configurations and workflows, and develop strategies to improve and expand integrations leveraging ServiceNow.
• Develop requirements, craft and execute test plans, administer ServiceNow, and provide Tier 2 support.
• Identify ServiceNow platform deficiencies and recommend remediation solutions.
• Create and evolve standards, best practices, support guidelines, and procedures.
• Partner with integration SMEs to integrate tools with ServiceNow using MID Servers, APIs, web services, email, and other relevant technologies, and research ServiceNow enhancements and implement additional ServiceNow modules across the Enterprise Service Management spectrum.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on experience developing and configuring on the ServiceNow platform.
• Experience in ServiceNow configuration and administration with a strong understanding of the ServiceNow platform and PaaS model.
• Experience with ServiceNow integration solutions, including common authentication protocols, web services patterns (REST, polling, callback), and MID Servers.
• Experience leveraging ServiceNow codeless technologies, including Flow Designer and Integration Hub.
• Strong ServiceNow scripting experience.
• Certified ServiceNow Developer qualification.
• Strong understanding of best-practice ServiceNow configuration principles.
• Ability to balance configuration vs. customization and manage associated platform risks.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

**Preferred qualifications, capabilitie…