Staff Software Engineer - Portfolio Management & AI Trading

Ridgeline, Inc.

New York (NY)

Hybrid

USD 200,500 - 251,000

Full time

14 days+
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Benefits offered by this job

Stock Plan
Unlimited vacation
Education reimbursement
Wellness reimbursement
0 cost employee insurance plans

Job summary

Ridgeline, Inc. in New York, NY, seeks a Staff Software Engineer for Portfolio Management (Valuations and Analytics).

You will help build high‑quality, scalable applications for our Trade Order Management solution, leveraging AI tools and modern practices in a fast‑moving, collaborative environment. The role emphasizes engineering excellence, financial domain knowledge, and mentorship of product engineers delivering secure, enterprise software.

Qualifications

  • 8+ years in software engineering with architecture experience.
  • Expert knowledge in Java or Kotlin (preferred) or equivalent.
  • Bachelor degree in Computer Science or equivalent discipline.
  • Experience applying Design Patterns, OOAD/SOLID, and automated unit tests.

Responsibilities

  • Apply trading domain knowledge and quantitative skills to intersect design, strategy, and engineering.
  • Involve in requirements and design reviews as asset class expansion occurs.
  • Shape and optimize a tech stack leveraging AWS back-end services for robust, scalable apps.
  • Develop automation to enable scalable, high-quality applications for customers.

Skills

Java
Kotlin
OOAD/SOLID
Automated unit tests
Problem solving
Communication
Mentoring teams

Education

Bachelor's degree in Computer Science

Tools

AWS

Job description

Ridgeline, Inc. in New York, NY, seeks a Staff Software Engineer for Portfolio Management (Valuations and Analytics).

You will help build high‑quality, scalable applications for our Trade Order Management solution, leveraging AI tools and modern practices in a fast‑moving, collaborative environment. The role emphasizes engineering excellence, financial domain knowledge, and mentorship of product engineers delivering secure, enterprise software.

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