NetSuite Developer / Integration Engineer

Why This Role

The client's finance team currently reconciles bank receipts to open invoices largely by hand inside NetSuite's Automated Cash Application module: re-teaching customer mappings the system doesn't retain, manually resolving reference mismatches, and hand-splitting multi-account payments. The goal is to build a rule-based reconciliation and automation layer that sits on top of NetSuite — via its native APIs, not a parallel system — to lift automated cash-receipt matching toward 90–95%+, leaving staff to manage only genuine exceptions. This role is the hands-on NetSuite technical resource who will scope, build, and harden that layer.

Key Responsibilities

• Perform technical discovery against the client's live NetSuite instance (Automated Cash Application module, Saved Searches, customer/invoice data model) to document the current matching logic, data flows, and root causes of manual exceptions.

• Design and build a rule-based reconciliation engine that matches incoming bank transaction data to open invoices/customers, using SuiteScript (2.x) and NetSuite's SuiteTalk (REST/SOAP) or SuiteFlow capabilities, without duplicating NetSuite as a system of record.

• Implement handling for known edge cases: persistent customer-to-payer mapping rules, external remittance reference matching (in addition to NetSuite's internal reference), multi-account/split-payment allocation, and duplicate/conflicting invoice references.

• Build clear exception queues/flags for transactions that cannot be confidently auto-matched, preserving a human-in-the-loop review step by design.

• Integrate with upstream bank data feeds and, where relevant, remittance advice sources (e.g., email-based remittance detail) needed to correctly allocate split or partial payments.

• Support a phased, iterative delivery model (working in 1–2 week increments) so measurable progress and quick wins can be demonstrated early, ahead of a broader roll-out.

• Produce technical documentation and knowledge transfer suitable for extending the same approach to additional entities/platforms (e.g., Ireland, and eventually larger transactional platforms) once the initial GlobalX (UK) proof of concept is validated.

• Work closely with the SSI Solutions Architect and the client's finance and engineering stakeholders throughout discovery, build, and rollout.

Required Skills & Experience

• 3+ years hands-on NetSuite development experience, including SuiteScript 2.x (Suitelets, User Events, Scheduled/Map-Reduce scripts, Client Scripts).

• Practical experience with NetSuite integration APIs: SuiteTalk (REST and/or SOAP web services) and/or RESTlets, including authentication (OAuth 2.0/Token-Based Authentication).

• Experience with NetSuite SuiteFlow (workflow automation) and Saved Searches / SuiteQL for data extraction and reporting.

• Solid working knowledge of NetSuite's financial data model, specifically Accounts Receivable: customers, invoices, customer payments, and the Automated Cash Application / bank reconciliation modules.

• Strong JavaScript fundamentals and comfort building rule-based matching/decisioning logic (deterministic matching, not just relying on generic AI matching).

• Experience integrating NetSuite with external data sources (bank feeds, spreadsheets, email-based remittance data, or third-party AR/cash-application tools).

• Ability to work within an existing ERP rather than building parallel/stand-alone systems — this project explicitly requires extending and complementing NetSuite, not replacing it.

• Clear written and verbal communication for discovery workshops, documentation, and stakeholder walkthroughs with non-technical finance staff.

Preferred / Nice to Have

• NetSuite SuiteCloud Developer or Administrator certification.

• Prior experience in professional/financial services, legal services, or another environment involving high-volume, multi-entity cash receipts.

• Experience with open banking APIs or bank statement/remittance data integrations.

• Familiarity with applying generative AI/LLM techniques for unstructured data extraction (e.g., parsing remittance emails) as a complement to deterministic rule-based reconciliation — understanding where each approach is and isn't appropriate in a finance/audit context.

• Experience supporting a multi-phase automation roadmap (pilot → iterate → scale across additional entities/regions).