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
Required
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