Director, Software Engineering (Python, Individual Contributor)

Overview

Director, Software Engineering – Asset Management Technology

The Role

You are an experienced engineer with hands-on experience in systems development and a passion for delivering software solutions that unlock Generative AI capabilities in professional domains such as finance. You will help drive and deliver first-of-a-kind knowledge-based applications for investment professionals.

You have prior experience building products using evolving AI technology. You are comfortable in a fast-paced environment where conceptualization, research, development, and productionization cycles shorten. You work well with senior business, architecture, and engineering stakeholders, mentor junior contributors, and enjoy delivering maximum value in the least amount of time as part of a team. This is an individual contributor, hands-on technical development role with no direct reports.

The Expertise and Skills You Bring

• A Bachelor’s or Master’s in Computer Science or a relevant field, with ten years plus of industrial experience.
• Proficient in deploying production-ready software capable of handling large data volumes.
• Design, develop, and maintain robust, scalable, and secure Python-based applications and services.
• Strong understanding of Python internals, performance tuning, and advanced language features.
• Write clean, idiomatic, well-documented Python code following PEP8 and enterprise coding standards.
• Optimize Python applications for performance, memory usage, and concurrency.
• Ability to orchestrate solutions within a cloud-based environment
• Strong understanding of standard methodologies for large-scale application design, SOA, microservices, distributed compute, containers, and cloud usage.
• Understanding of delivering GenAI applications to production that can reliably process information in open-ended settings.
• Strong attention to detail with a focus on validation and verification of software components.
• Excellent communication skills and the ability to work with distributed team members.
• Comfortable working directly with internal customers and business stakeholders.

The Team

We are developing a Large Language Model (LLM)-first knowledge stack for investment professionals at Fidelity Asset Management – analysts and portfolio managers in equities, fixed income, high income, direct lending. The stack will process documents of interest to analysts (e.g., analyst reports, earnings notes, spreadsheet models, prospectuses, loan indentures, news reports, regulatory filings) and support deployment of personalized assistants to assist principals in information consumption / processing / production tasks.

Certifications

Category

Information Technology

Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.

Please be advised that Fidelity’s business is governed by various securities and investment-related laws and regulations, and those laws may restrict Fidelity from hiring individuals with certain Criminal Histories.

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