On-site Full-Stack Engineer - AI & Fintech Data Apps

Wise Insight

Stamford (CT)

On-site

USD 110,000 - 150,000

Full time

4 days ago
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Job summary

Wise Insight in Stamford, CT is seeking a full-time, on-site Software Engineer to build and maintain production-grade applications for investment research and internal processes.

You will use TypeScript and modern full-stack technologies within the T3 ecosystem, write Python for automation, design relational databases, and craft production-quality SQL while participating in the full SDLC from design to deployment and maintenance.

Qualifications

  • 2–7 years of professional full-stack software development experience.
  • Strong proficiency in TypeScript and modern full-stack development.
  • Hands-on Python for scripting/automation.
  • Experience with AWS and cloud-based environments.
  • Strong understanding of relational databases and production-quality SQL.
  • Solid software engineering fundamentals: clean code, testing, debugging, design.
  • Curiosity about technology and data.

Responsibilities

  • Build and maintain full-stack software applications supporting investment research and internal business processes.
  • Develop production-quality applications using TypeScript 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.

Skills

TypeScript
Python
AWS
SQL
Relational databases
Full-stack

Tools

Testing frameworks

Job description

Wise Insight in Stamford, CT is seeking a full-time, on-site Software Engineer to build and maintain production-grade applications for investment research and internal processes.

You will use TypeScript and modern full-stack technologies within the T3 ecosystem, write Python for automation, design relational databases, and craft production-quality SQL while participating in the full SDLC from design to deployment and maintenance.

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