> Markdown version of [/jobs/ext/4637329-senior-software-engineer](https://www.wearedevelopers.com/jobs/ext/4637329-senior-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - **Company:** ZeroPoint Systems LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Big Data, Data Infrastructure, Operational Data Store, Software Engineering, Backend, Data Pipelines - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/28_25197_d88ef2317fed5109f1b2efdb3ee84c4c ## About the Role Required * 4+ years of software engineering experience * Strong backend engineering skills and systems design experience * Comfort building production systems that handle large datasets or complex workflows * Strong product instincts and ability to work across engineering and product Nice to Have * Experience working with AI/ML-powered systems * Experience with data pipelines or analytics infrastructure * Experience working directly with customers or cross-functional stakeholders * Interest in early-stage startups and high-ownership roles * CS degree or equivalent experience ## Description * Build and scale the core platform that powers financial workflows for CPG brands * Develop systems for ingesting and processing financial and operational data from multiple sources * Build backend services and APIs that power analytics, forecasting, and automation features * Implement AI-powered workflows for document processing and financial data extraction * Design intuitive product experiences that turn complex financial data into actionable insights * Work directly with product and occasionally customers to understand workflows and ship solutions quickly Example Problems * AI-powered ingestion of invoices, deductions, and retailer reports * Scaling data pipelines that ingest financial data from multiple retailer systems * Building analytics infrastructure for forecasting and demand planning * Designing internal tools and product features that simplify complex financial workflows * Improving performance and reliability across core platform services