Principal Software Engineer (Python, Oracle, AWS)

Fidelity•Merrimack, NH

5d•Onsite

About The Position

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

Requirements

A Bachelor’s or Master’s Computer Science or relevant field, with five years plus of industrial experience.
Proficient in deploying software products into production capable of handling large volumes of data at scale.
Strong understanding of Python internals, performance tuning, and advanced language features.
Write clean, idiomatic, and well-documented Python code following PEP8 and enterprise coding standards.
Strong understanding of standard methodologies for large scale application design, SOA, microservices, distributed compute, containers, and use of the cloud.
Strong attention to detail with a passion for validation and verification of software components.
Strong communication skills and the ability to work with distributed team members.

Nice To Haves

Deep hands-on experience developing systems and products with a burning desire to deliver software solutions which unlock the capabilities of Generative AI in the context of a professional domain such as finance.
Prior experience in developing and crafting products using constantly evolving, powerful yet brittle, AI technology.
Comfortable working in a fast-paced environment where the lag between conceptualization, research, development, and productionization is constantly shortening.

Responsibilities

Design, develop, and maintain robust, scalable, and secure Python-based applications and services.
Optimize Python applications for performance, memory usage, and concurrency.
Orchestrate solutions within a cloud based environment.
Deliver into production GenAI applications that can reliably process information in open-ended settings.
Mentor junior contributors, helping them grow and learn new skills in today’s engineering field.
Work with architecture and engineering stakeholders.
Think critically and work as part of a team to deliver the most amount of value in the least amount of time.