Business Systems Software Engineer

Business Systems Software Engineer

About the role

We are looking for a technically strong Software & Systems Engineer to join our growing team.

In this role, you will design and build the software infrastructure that powers our business

operations — developing robust data pipelines, shipping AI-driven applications, and engineering

custom integrations and automations across our core platforms. You will work closely with

Finance, Operations, and other business teams to translate complex requirements into reliable,

well-engineered solutions.

Key responsibilities

Data engineering & infrastructure

Design, build, and maintain scalable data pipelines that ingest, transform, and deliver data from

multiple sources

Own and evolve the enterprise data warehouse, writing clean, well-documented data models

that serve reporting and analytics needs

Instrument pipeline health monitoring, automated data quality checks, and alerting; investigate

and resolve issues proactively

Partner with stakeholders to translate business requirements into reliable, tested data solutions

AI application development

Build, deploy, and iterate on AI-powered applications and automation workflows that reduce

manual effort across the business

Engineer integrations between LLM-based agents and internal systems, with a strong focus on

output reliability and data integrity

Identify and prototype opportunities where applied AI can meaningfully improve process

efficiency

Implement monitoring, logging, and guardrails to ensure responsible and auditable use of AI in

production

Platform engineering & integrations

Develop and maintain custom scripts, APIs, and workflows within NetSuite (SuiteScript), Arena

PLM, and other business applications

Design and build API integrations between internal and third-party platforms, including REST

and webhook-based patterns, authentication flows, and error handling
Engineer system integrations between platforms, ensuring data consistency and resilience

across the stack

Triage and resolve bugs in integrations, custom scripts, and automated workflows; write

regression tests to prevent recurrence

Maintain thorough technical documentation of all customizations, configurations, and integration

contracts

Qualifications

3+ years in a software engineering, data engineering, or business systems engineering role

Strong proficiency in Python and SQL; comfort with JavaScript a plus

Proven experience building and operating data pipelines and ETL/ELT workflows in production

Solid understanding of data warehousing and experience with tools such as Snowflake,

BigQuery, Redshift

Hands-on experience with NetSuite (SuiteScript) or similar ERP/PLM customization and

scripting

Experience designing and consuming REST APIs, including authentication patterns (OAuth, API

keys), pagination, and error handling

Engineering best practices mindset: version control, code review, testing, and documentation

Preferred

Experience shipping AI/ML applications or integrating LLM-based agents into production

systems

Familiarity with Arena PLM or comparable product lifecycle management platforms

Exposure to workflow automation tools such as Zapier, Make, or similar

Background working with Finance or Operations data domains