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

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