NetSuite Developer & AI Automation Specialist

EDB; Salem (OR); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Wellness Fridays

CuraLinc health program

Job summary

EDB is hiring a NetSuite Developer cum Administrator to own, extend and automate our NetSuite environment. The role is hybrid with ~60% development and integration and ~40% administration, focusing on SuiteScript customizations, workflows and AI-enabled features for Finance, Sales, Operations and Support.

You will work with stakeholders to translate requirements into scalable solutions, using AI tools in both building and enabling AI-driven outcomes, while maintaining governance and data quality

Qualifications

• 5+ years hands-on NetSuite experience in admin and developer roles.
• Strong SuiteScript 2.x skills with debugging and governance.
• Experience with SuiteFlow, saved searches, and SDF deployments.
• Proven REST/SOAP integrations and OAuth 2.0.
• AI experience: prompt engineering and AI tooling in code.

Responsibilities

• Design, build, test and deploy SuiteScript 2.x solutions.
• Develop SuiteFlow workflows, custom records, forms and saved searches.
• Build NetSuite integrations (SOAP/REST) with CRM and data platforms.
• Implement AI-enabled features and AI tooling within scripts/workflows.
• Provide governance, performance tuning and troubleshooting.
• Collaborate with Finance, Sales, Ops and Support to translate requirements into solutions.

Skills

NetSuite specialist

SuiteScript 2.x

SuiteFlow

SuiteAnalytics

REST/SOAP

AI skills

Git

JavaScript

Education

Bachelor's degree in CS/IS/Accounting/Finance

Tools

NetSuite

SuiteTalk

SuiteQL

RESTlet

JSON

Job description

EDB is hiring a NetSuite Developer cum Administrator to own, extend and automate our NetSuite environment. The role is hybrid with ~60% development and integration and ~40% administration, focusing on SuiteScript customizations, workflows and AI-enabled features for Finance, Sales, Operations and Support.

You will work with stakeholders to translate requirements into scalable solutions, using AI tools in both building and enabling AI-driven outcomes, while maintaining governance and data quality