Principal Full Stack JavaScript Engineer, Python, AWS, AI Tooling

Role Overview

• Deliver on the vision of the business by leading the development, research, and recommendation of appropriate models, methods, tools, and technologies to achieve business-unit-wide solutions.
• Use thought leadership to drive and champion technology strategy in partnership with stakeholders across the business.
• Manage significant risks and lead and oversee a team of developers who build and support runtime services, platforms, and applications that power AI-enabled experiences at scale.
• You will be part of the team responsible for the creation and support of the Cognitive Computing Platform.
• This platform enables customers to interact with Fidelity in natural language across the channels that are important to them.
• Help deliver reliable runtime services and operational practices that allow teams to run AI-enabled solutions consistently and safely.
• Implement solutions that enable customers to get the most out of what Fidelity can offer.
• Create intuitive and highly engaging conversational experiences that help digitally savvy customers take control of their finances and feel confident in the choices they make.

Requirements

• Broad experience across the full software development and delivery lifecycle, from design and implementation through testing, deployment, and ongoing support.
• Strong engineering proficiency in Node.js and/or Python, with the ability to design and implement scalable, maintainable backend services.
• Experience building enterprise‑grade conversational and interactive UI components using modern frontend frameworks such as React, Angular, or Vue, along with hands‑on experience using front‑end testing frameworks like Jest, Cypress, or Playwright.
• Hands-on experience working with NoSQL data stores such as MongoDB, DynamoDB, or ElastiCache, including data modeling and performance optimization.
• Solid grounding in DevOps/SRE practices, including monitoring, alerting, incident response, reliability engineering, and building production systems with an operational mindset.
• Proven experience designing and consuming RESTful APIs, using Service‑Oriented Architecture, and applying strong Object‑Oriented Programming principles.
• Familiarity with OpenAPI/Swagger and structured JSON‑based service contracts, including versioning and documentation best practices.
• Practical experience working within Agile development methodologies, collaborating closely with cross‑functional teams to deliver iterative value.
• Exposure to major cloud platforms (AWS, GCP, Azure), including hands-on experience with cloud‑native services, deployment pipelines, and distributed architectures.
• Working knowledge of LLM concepts (prompting patterns, token limits, latency considerations)
• Retrieval-Augmented Generation (RAG) fundamentals and embedding-based search concepts
• Model evaluation basics (quality, safety, and regression testing) using modern evaluation frameworks and benchmark datasets
• Responsible AI practices (guardrails, privacy considerations, and secure usage patterns)
• Operational awareness for GenAI solutions (cost, performance, reliability, and safe usage)
• Understanding of observability for LLM-based applications, including logging/metrics/tracing at the prompt and inference layers.

Tech Stack

• Angular
• AWS
• Azure
• Cloud
• Cypress
• DynamoDB
• Google Cloud Platform
• JavaScript
• Jest
• MongoDB
• Node.js
• NoSQL
• Python
• React
• Vue.js

Benefits

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