> Markdown version of [/jobs/ext/3292854-principal-software-engineer](https://www.wearedevelopers.com/jobs/ext/3292854-principal-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer - **Company:** FIDELITY LLC - **Location:** Jersey City, NJ, United States (Remote available) - **Experience:** Expert - **Salary:** $107,000.0 - $216,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Algorithmic Trading, Amazon Web Services, Databases, Continuous Integration, Linux, Github, Python (Programming Language), Machine Learning, Apache Maven, Modular Design, Object-Oriented Software Development, Shell Script, Software Engineering, Feature Engineering, GitHub Copilot, Model Validation, Git, Information Technology, IBM UrbanCode Deploy, Jenkins, Artifactory - **Published:** September 4, 2026 - **Apply:** https://www.themuse.com/jobs/fidelityinvestments/principal-software-engineer-344113 ## About the Role * Bachelor's degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent. * 10 years professional experience in quantitative finance or trading systems * Advanced proficiency in KDB/q, including: + Time-series data modeling + High-performance querying and joins + Real-time and historical analytics * Strong Python skills for: + Quantitative analysis + AI / ML model development + Integration with KDB and downstream systems + Experience working with large-scale, high-frequency, or noisy datasets + Solid software engineering practices (Git, testing, modular design) * Worked with AI developer assist tools (e.g. GitHub Copilot). * 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 * Experience in Linux, shell scripting, and production support experience The Skills You Bring: * A strong quantitative mindset with practical AI application skills * Ability to bridge research, machine learning, and production systems * Comfort working on front-office or research-critical infrastructure * Clear communicator with quants, traders, and engineers Willingness to support production systems and participate in on-call rotations, including occasional weekend support. ## Description We are seeking a highly experienced software engineer to lead the design and development of next-generation trading systems. This is a hands-on technical leadership role focused on building scalable, resilient, and high-performance trading infrastructure. You'll collaborate across teams, mentor engineers, and drive innovation in a mission-critical environment. * 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 (feature engineering, model training, evaluation) * Build research and backtesting frameworks integrating AI models with historical data * Translate quantitative and ML research into robust, production-ready systems * Integrate AI models into real-time and batch pipelines * Optimize analytics and model evaluation for performance, stability, and scalability * Collaborate with quants, product owners, and engineering teams on model deployment and monitoring ## Related Videos - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)