About the role

Role overview

Build and scale Finstock’s financial research and market intelligence platform. The Software Engineer will work across backend services, APIs, product features, data integrations, internal tools, and user-facing workflows in a remote (US-preferred) full-time role.

Key responsibilities

Design, build, test, and maintain platform features for financial research and market intelligence
Develop secure, reliable, and scalable backend services, APIs, and internal systems
Build and enhance product workflows, dashboards, research tools, and analytics features
Integrate financial market data, company data, research metadata, analytics outputs, and approved third-party APIs
Collaborate with engineering, product, data, AI, and analyst teams to ship production-ready software
Write clean, maintainable, tested, and well-documented code
Participate in code reviews, architecture discussions, and technical planning
Improve performance, reliability, observability, error handling, and security
Support analyst workflow tooling and research automation (e.g., charting, data review, intelligence features)
Troubleshoot production issues and support incident resolution when needed
Contribute to CI/CD, testing standards, documentation, and engineering best practices
Follow internal security, privacy, confidentiality, and data-handling requirements

Required qualifications

3+ years of professional software engineering experience (backend/full-stack or related)
Strong proficiency in at least one modern programming language (Python, TypeScript, JavaScript, Java, Go, or C#)
Experience building production-grade APIs, backend services, web applications, or internal engineering tools
Experience with relational databases (e.g., PostgreSQL, MySQL, or similar)
Familiarity with frontend or full-stack development

Nice-to-haves

Not explicitly stated in the provided text

About Finstock, Inc.

Finstock, Inc. builds AI-powered financial research, trading analytics, quantitative research, and market intelligence tools. The platform serves experienced market users, analysts, research teams, and institutions, relying on secure, scalable software systems and high-quality engineering practices across data and analytics workflows.