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# Software Engineer - Data Infrastructure

- **Company:** INDUS
- **Location:** San Mateo, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Accounting Systems, Cloud Computing, Databases, Data Infrastructure, Data Systems, Relational Databases, Linux, Web Development, Python (Programming Language), Netsuite, Oracle (Applications), SAP (Applications), Software Engineering, TypeScript, Data Ingestion, Agentic-AI, Data Lakes, Search Engines, Data Pipelines, Workday
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-data-infrastructure-san-mateo-ca--a9704b11-8cf6-4d2a-b34b-0595c8d2cba3

## About the Role

Software Engineering, Reconciliation, Journal Entries, Accounting, Flux Analysis, Sarbanes-Oxley Act (SOX), Finance, Twitter, Linux Media Players, Accounting Close, * 5 or more years working with data systems at high-growth companies

 * Strong experience with relational databases and data modeling
 * Experience building and operating data pipelines and distributed, data-intensive systems
 * Familiarity with web development and cloud infrastructure such as GCP
 * Care about correctness; you have worked on systems where the numbers have to be right
 * Strong communication and collaboration skills

Nice to have

 * Experience with mission-critical systems such as fintech, or complex workflow engines
 * Search engines or vector databases in production
 * Financial data specifically: ERP integrations (NetSuite, SAP, Oracle, Workday), banking data, or accounting systems
 * Go, TypeScript, or Python

## Description

We are working on some of the hardest problems in enterprise automation, with an engineering team that includes staff-level talent from Robinhood, Glean, Google, Netflix, and Meta. The system handles high-volume financial data and complex accounting workflows, and every execution has to be accurate and reliable, because the output is a companys books.

Every accounting workflow and every agent at Maxima runs on the data platform, and you will build it. Financial data arrives from ERPs, banks, payroll, and billing systems in volumes that grow with every customer, and it has to be ingested, matched, and reconciled without losing a cent or a trail. As a Data Infrastructure Software Engineer, you will design and scale the systems that do that: our data lakes, our multi-tenant relational databases, and the search and vector infrastructure that supports the workflows on top.

This is a foundational role on a small team, with the ownership that comes with it. The decisions you make about how financial data is modeled, stored, and served will shape what the agents can do for years.

What youll do

 * Architect our data lakes and the ingestion pipelines that feed them from ERPs, banks, and other financial systems
 * Build and scale our multi-tenant relational databases and the data models behind journal entries, reconciliations, and transaction matching
 * Evaluate and build the right search engine and vector database setup to support agent and accounting workflows
 * Design durable, highly available financial data processing layers that the agents depend on
 * Own the reliability, observability, and performance of the data platform as customer volume grows
 * Work with the AI Agents and product engineering teams so the platform serves what they are building