Sr. Full Stack Engineer

Insight Global

New York (NY)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Insight Global is seeking a Senior Software Engineer (8+ years) to design and build enterprise-grade applications supporting financial and investment initiatives. This engineer will act as a primary technical owner, partnering directly with business stakeholders to translate requirements into scalable, production-ready solutions.

You will own features from design through production, build financial applications and services, collaborate with product teams to translate requirements, and ensure

Qualifications

  • 8+ years of software engineering experience delivering complex applications.
  • Proficiency in Python, Java, or C#; Python preferred.
  • Experience with financial, investment, or fintech industries.
  • Hands-on experience deploying AI-enabled solutions to production.
  • Strong architecture, system design, and data modeling skills.

Responsibilities

  • Own features or systems from design through production support.
  • Build and maintain financial/investment applications and services.
  • Partner with product and business teams to translate requirements into scalable solutions.
  • Design, debug, and troubleshoot production systems with a logical, methodical approach.
  • Write clean, maintainable code with full CI/CD automation.
  • Clearly explain technical decisions, tradeoffs, and SQL/data issues.

Skills

Software engineering
System design
Python
Java
C#
AI in production
Financial/fintech
CI/CD
Data modeling

Job description

Job Description

A large financial client is seeking a Senior Software Engineer (8+ years) to design and build enterprise-grade applications supporting financial and investment-focused initiatives. This engineer will act as a primary technical owner, partnering directly with business stakeholders to translate requirements into scalable, production-ready solutions.

What You’ll Do
  • Own features or systems from design through production support
  • Build and maintain custom financial/investment applications and services
  • Partner with product and business teams to translate requirements into scalable solutions
  • Design, debug, and troubleshoot production systems with a logical, methodical approach
  • Write clean, maintainable code with full CI/CD automation
  • Clearly explain technical decisions, tradeoffs, and SQL/data issues

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements
  • 8+ years of software engineering experience building complex applications and systems.
  • Python, Java, C#, or similar object-oriented languages.
    • Python preferred, but system design and engineering fundamentals are more important than language.
    • Looking for engineers who build applications and platforms, not primarily scripts or automation.
  • Experience working with financial, investment, fintech, capital markets, or similar industries.
  • Hands-on experience building and deploying AI-enabled solutions into production environments.
    • Experience building systems that incorporate AI—not simply using AI coding assistants.
  • Strong application architecture, system design, database modeling, and data design experience.
  • Ability to gather requirements directly from business stakeholders and design effective technical solutions.
  • Experience serving as the primary engineer and technical owner for projects.
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