Principal, Full Stack Engineer (Python)
Fidelity Investments•Jersey City, NJ
•$107,000 - $216,000
About The Position
The Quantitative Research & Investing Technology (QRIT) team within Fidelity's Asset Management Technology group is seeking a highly motivated and curious Full Stack Engineer. In this role you will contribute to a dynamic and fast-paced development team creating a development and integration platform for Quantitative Researchers. You are committed to constructing high-quality, scalable, robust, resilient and efficient analytical and software solutions that propel investment processes forward.
Requirements
- 7+ Years of software development experience, with full stack engineering as the primary focus
- Strong proficiency in programming languages such as Python, with experience building backend services and APIs
- Experience designing and developing web applications, RESTful services, and data-driven user interfaces
- Familiarity with cloud environments (AWS) including core services such as S3, RDS, EC2, and IAM as they relate to application development
- Solid understanding of relational and non-relational databases, data modeling, and query optimization
- Experience working with containerized applications (Docker) in a development or deployment context
- Background in participating in CI/CD workflows and automated testing pipelines
- Good understanding of networking concepts as they apply to distributed application architectures
- Enjoys collaborating with other developers, pair programming, reviewing code, and white-boarding problems
- Excellent problem-solving skills, for when the playbook just doesn't cover it
- Ability to work effectively across teams within pre-defined constraints to deliver stable, production-ready software
Nice To Haves
- Security-conscious development practices are a plus
Responsibilities
- Design, build, and maintain full stack applications supporting Quantitative Researchers and investment workflows
- Develop scalable backend services and intuitive frontend interfaces tailored to analytical use cases
- Collaborate with quantitative researchers to understand requirements and translate them into reliable software solutions
- Participate in code reviews, contribute to engineering best practices, and help evolve the team's development standards
- Integrate with internal data platforms, APIs, and cloud infrastructure to deliver end-to-end features
Benefits
- comprehensive health care coverage
- emotional well-being support
- market-leading retirement
- generous paid time off
- parental leave
- charitable giving employee match program
- educational assistance including student loan repayment
- tuition reimbursement
- learning resources to develop your career
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
