Business Systems Software Engineer
Role Overview
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 Skills for This Role
Full Job Posting
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
Preferred Qualifications
- Strong proficiency in Python and SQL; comfort with JavaScript a plus
- Preferred
About Nexthop AI
AI networking infrastructure company building custom hardware, software, and optical solutions for hyperscalers and NeoClouds.
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