Middle Job – Software Engineer – nineDots

Overview

This is an onsite full-time opportunity in Stamford, Connecticut for a Software Engineer to help build and improve software used for investment research and risk management.

You will join a small engineering environment with direct access to decision-makers, meaningful ownership from day one, and the chance to build new products rather than only maintain existing systems.

What You'll Be Doing

• Maintain and improve full-stack applications supporting investment research and risk management
• Build new internal tools and workflows from scratch
• Develop modern web applications using TypeScript, React and Next.js
• Use Python for scripting, automation and data-related workflows
• Design and query relational databases using production-quality SQL
• Build AI-enabled automations using platforms such as OpenAI and Anthropic
• Take responsibility across design, development, deployment and production support

What You'll Need to Succeed

• 2-7 years' professional full-stack software development experience
• Strong TypeScript and React experience, ideally including Next.js
• Practical experience reading and writing Python for scripting or automation
• Strong relational database and SQL skills
• Experience owning production software across both frontend and backend development
• An undergraduate degree in Computer Science with a GPA above 3.0
• Willingness to work onsite in Stamford five days per week

Nice to Have

• Experience with tRPC, Prisma or a comparable modern TypeScript stack
• Exposure to OpenAI, Anthropic or other LLM APIs
• Experience building agentic workflows or AI-enabled automation
• AWS, Bash, CI/CD or Airflow experience
• A background or demonstrated interest in finance, fintech, investment research or quantitative systems

What's In It for You

• Competitive base salary of $160k-$230k plus discretionary bonus
• Significant ownership from day one
• Direct exposure to investment research and quantitative workflows
• Opportunity to build new products rather than only maintain existing systems
• Practical AI engineering using modern LLM APIs
• A small team with direct access to decision-makers and minimal bureaucracy

Why This Role

This is a strong opportunity for an engineer who wants to stay hands-on while gaining genuine exposure to the investment industry.