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Software Engineer, Full Stack Developer, Python

Job in Stamford, Fairfield County, Connecticut, 06925, USA
Listing for: Wise Insight
Full Time position
Listed on 2026-08-20
Job specializations:
  • Software Development
    Full Stack Developer, Python, SQL Developer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

Key Information

  • Work Model:
    On-site, 5 days per week
  • Employment Type:

    Full-time
  • Company:
    Leading Investment Firm in Stamford, Connecticut
Key Responsibilities
  • Build and maintain full-stack software applications supporting investment research and internal business processes
  • Develop production-quality applications using Type Script and modern full-stack technologies within the T3 ecosystem
  • Write Python for scripting, automation, data processing, and internal tooling
  • Design and work with relational databases and write production-quality SQL
  • Participate in the full software development lifecycle, from problem definition and architecture through implementation, testing, deployment, and maintenance
Requirements
  • 2 to 7 years of professional experience in full-stack software development
  • Strong proficiency in Type Script and modern full-stack development
  • Strong hands-on Python experience with ability to read and write Python for scripting and automation
  • Experience working with AWS and cloud-based application environments
  • Strong understanding of relational databases
  • Experience writing production-quality SQL
  • Strong software engineering fundamentals, including clean code, testing, debugging, and system design
  • Strong problem-solving skills and genuine curiosity about technology and data
Preferred Qualifications
  • Experience with AI engineering, LLM APIs, or generative AI applications
  • Experience building AI-powered automations or agentic workflows
  • Experience working with financial markets, investing, fintech, quantitative research, or financial technology
  • Academic background in finance, economics, mathematics, statistics, computer science, or another quantitative discipline
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