Software Engineer

Finstock, Inc. builds AI-powered financial research and market intelligence tools. They are seeking a Software Engineer to help build, maintain, and scale their financial research and market intelligence platform, collaborating with various teams to deliver reliable software.

Responsibilities:

• Design, build, test, and maintain software features for Finstock’s financial research and market intelligence platform
• Develop secure, reliable, and scalable backend services, APIs, and internal systems
• Build and improve user-facing product workflows, dashboards, research tools, and analytics features
• Integrate financial market data, company data, research metadata, analytics outputs, and approved third-party APIs into product workflows
• Collaborate with data engineers, AI engineers, product managers, analysts, and designers to translate product and research requirements into production-ready software
• Write clean, maintainable, tested, and well-documented code
• Participate in code reviews, architecture discussions, technical planning, and engineering design decisions
• Improve application performance, reliability, observability, error handling, and security
• Help build tools that support analyst workflows, financial research automation, charting, data review, and market intelligence features
• Troubleshoot production issues, investigate bugs, and support incident resolution when required
• Contribute to CI/CD workflows, testing standards, documentation, and engineering best practices
• Ensure software development follows internal security, privacy, confidentiality, and data-handling requirements

Requirements:

• 3+ years of professional experience in software engineering, backend engineering, full-stack engineering, or a related technical role
• Strong proficiency in at least one modern programming language such as Python, TypeScript, JavaScript, Java, Go, or C#
• Experience building production-grade APIs, backend services, web applications, or internal engineering tools
• Experience with relational databases such as PostgreSQL, MySQL, or similar systems
• Familiarity with frontend or full-stack development using frameworks such as React, Next.js, Angular, Vue, or similar tools
• Experience working with cloud platforms such as AWS, Google Cloud Platform, Microsoft Azure, or similar environments
• Understanding of software architecture, testing, debugging, version control, API design, authentication, authorization, and secure coding practices
• Comfortable working with Git, GitHub, CI/CD tools, issue tracking systems, and remote engineering workflows
• Strong problem-solving ability, ownership mindset, and attention to engineering quality
• Strong written communication skills and ability to collaborate effectively in a remote environment
• Professional commitment to data security, confidentiality, and responsible handling of financial and user-related data
• Ability to work remotely in compliance with applicable laws and eligibility requirements
• Experience working with fintech products, financial market data, investment research platforms, trading analytics, or capital markets infrastructure
• Familiarity with financial data concepts such as equities, ETFs, indices, FX, crypto assets, commodities, fundamentals, filings, corporate actions, and market data APIs
• Experience with Python-based financial tools, data processing libraries, or analytics workflows
• Experience with Node.js, FastAPI, Django, Flask, NestJS, GraphQL, or similar backend frameworks
• Experience with PostgreSQL, Redis, Elasticsearch/OpenSearch, MongoDB, vector databases, or time-series databases
• Experience with Docker, Kubernetes, Terraform, GitHub Actions, observability tools, and cloud deployment workflows
• Experience supporting AI-assisted products, LLM features, search systems, retrieval systems, or research automation tools
• Experience building secure user-scoped workflows, permission systems, audit trails, or enterprise SaaS features
• Interest in financial research, market intelligence, AI-assisted workflows, and quantitative analytics