Principal Software Engineer

Fidelity Financial Services

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Salary: $107,000–$216,000 / yr
Posted: 15 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $195k

This role $162k

$91k $258k

below market most similar roles pay here above market

This role pays less than 94% of similar roles. Most pay $169,550–$220,800 — the blue band above. At the midpoint, this role pays about $162k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Fidelity Financial Services

Fidelity Investments is one of the largest financial services companies in the world, offering brokerage services, mutual funds, retirement planning, wealth management, and life insurance to individuals and institutions. Industry: Financial Services & Investment Management

Fidelity Financial Services currently has 141 open roles on FindRole.

Listed pay typically runs $107,000–$216,000 across 35 roles with salary data.

Most-posted roles

View all roles at Fidelity Financial Services

At a glance

TL;DR · Principal Software Engineer

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The Principal Software Engineer joins the Trade Management Engineering group to build world-class electronic trading solutions for the Capital Markets division. This technical leadership role involves designing and developing scalable, high-performance trading infrastructure and next-generation trading systems. You will design and optimize KDB databases and q analytics for high-volume market data while developing Python-based AI and quantitative models for research, prediction, and signal generation. Key responsibilities include building research and backtesting frameworks, applying machine learning to time-series data, and integrating models into real-time pipelines. Required expertise includes KDB/q, Python, AWS, and CI/CD tools like Jenkins and Maven. You must possess a quantitative mindset to bridge research and production systems, solving complex problems involving large-scale, high-frequency, and noisy datasets within a mission-critical trading environment.

What does a Software Engineer earn in New Jersey?

Median $161500 from 34 postings across 14 companies.

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Skills

q Python Machine Learning AI AWS CI/CD Java Linux Shell Scripting Git Jenkins Maven Artifactory uDeploy GitHub Copilot Time‑series data modeling Backtesting Frameworks

What you'll do

Design, develop, and optimize KDB databases and q analytics for high-volume trading and market data.
Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation.
Apply machine learning techniques to time-series data for feature engineering, model training, and evaluation.
Build research and backtesting frameworks that integrate AI models with historical data.
Translate quantitative and ML research into robust, production-ready trading systems.
Integrate AI models into real-time and batch data pipelines.
Optimize analytics and model evaluation for performance, stability, and scalability.
Support production systems and participate in on-call rotations.

What we're looking for

Bachelor’s degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent.
10 years of professional experience in quantitative finance or trading systems.
Advanced proficiency in KDB/q, including time-series data modeling and high-performance querying.
Strong Python skills for quantitative analysis, AI/ML model development, and integration with KDB.
Experience with large-scale, high-frequency, or noisy datasets.
Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.
Hands-on experience in AWS or other cloud platforms.
Familiarity with object-oriented programming languages such as Java (preferred).

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