Own Greenboard’s quality strategy as its first dedicated Automation Engineer. Build the test framework, automated regression suites, QA practices, release gates, and critical-path validation for compliance workflows. Develop methods for evaluating nondeterministic AI outputs using golden datasets and quality thresholds. Validate data integrity across large-scale ingestion pipelines, conduct bug triage, support release sign-off, and collaborate closely with engineers and regulated financial-services customers.

Join Greenboard’s engineering team in Summer 2027 to build and ship financial compliance software. Responsibilities include developing AI agents for insider-trading detection, scaling message-archiving systems processing tens of millions of messages daily, and designing supporting data infrastructure. The role offers end-to-end feature ownership, customer interaction, and direct collaboration with experienced engineers in a fast-paced startup environment.

Build and scale full-stack systems (Node.js + React) on AWS, develop scalable data infrastructure, integrate AI/ML features, and collaborate with cross-functional teams to deliver secure, production-grade compliance products.