TN Visa Developer Relations Engineer Jobs
Developer Relations Engineer roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category when the position requires a bachelor's degree in computer science, engineering, or a related field. Canadian citizens can apply at the border or port of entry, while Mexican citizens apply through a U.S. consulate.
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Principal Quant Developer
The Role
The Quantitative Research & Investing Technology (QRIT) team within Fidelity's Asset Management Technology group is seeking a highly motivated and curious Principal Quantitative Developer. In this role you will contribute to a dynamic and fast-paced development team supporting researchers in prototyping and delivering new systematic investment strategies. You will provide high impact solutions on various projects including alpha research, portfolio construction, and risk management. Your technology knowledge covers a broad spectrum of technologies, including R, Python, and PL/SQL databases, positioning you as a full-stack software engineer who capitalizes on enterprise technology. You are committed to constructing high-quality, scalable, robust, resilient and efficient analytical and software solutions that propel investment processes forward.
You Will Possess
- A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
- Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
- This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
The Expertise And Skills You Bring
Core Engineering
- Expert in Python with experience across the development stack (full stack)
- Exposure to object-oriented programming (OOP) and design patterns
- Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
- A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Data & Infrastructure
- Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
- Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
- Proven ability to construct and manage robust data pipelines and event-driven workflows
- Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
DevOps & CI/CD
- Experience in containerization with Docker and orchestration with Kubernetes
- Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
- Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
MLOps & AI Infrastructure
- Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
- Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
- Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
- Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
- Awareness of responsible AI governance practices
- Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Quantitative & Domain Knowledge
- Demonstrated knowledge of mathematics, statistics, and quantitative finance
- Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
- Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
- Domain knowledge in either equities, fixed income or alternative asset classes
- Progress towards CFA (or equivalent) a plus
Collaboration & Communication
- Strong presentation and communication skills, with a knack for engaging with quant researchers and investment professionals
- Strong problem-solving skills, with a proven ability to work effectively in cross-functional teams
- A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community
- Lead the implementation of a research project through the entire software development lifecycle using a full-stack implementation
- Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace
- Demonstrates eagerness and aptitude for rapidly adopting new frameworks, technologies, and best practices
The Team
The Quant Development team is part of Asset Management's Quantitative Research & Investment Technology group. We partner with Asset Management's Advance Strategies and Research team on cutting edge projects including systematic investment strategies, portfolio construction, risk management, alpha research, and GenAI. We build high quality, robust, and highly-scalable solutions that are used to improve Asset Management's efficiency and decision-making processes.
The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.
Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications
Category: Information Technology
Job Description
Principal Quant Developer
The Role
The Quantitative Research & Investing Technology (QRIT) team within Fidelity's Asset Management Technology group is seeking a highly motivated and curious Principal Quantitative Developer. In this role you will contribute to a dynamic and fast-paced development team supporting researchers in prototyping and delivering new systematic investment strategies. You will provide high impact solutions on various projects including alpha research, portfolio construction, and risk management. Your technology knowledge covers a broad spectrum of technologies, including R, Python, and PL/SQL databases, positioning you as a full-stack software engineer who capitalizes on enterprise technology. You are committed to constructing high-quality, scalable, robust, resilient and efficient analytical and software solutions that propel investment processes forward.
You Will Possess
- A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
- Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
- This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
The Expertise And Skills You Bring
Core Engineering
- Expert in Python with experience across the development stack (full stack)
- Exposure to object-oriented programming (OOP) and design patterns
- Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
- A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Data & Infrastructure
- Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
- Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
- Proven ability to construct and manage robust data pipelines and event-driven workflows
- Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
DevOps & CI/CD
- Experience in containerization with Docker and orchestration with Kubernetes
- Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
- Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
MLOps & AI Infrastructure
- Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
- Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
- Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
- Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
- Awareness of responsible AI governance practices
- Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Quantitative & Domain Knowledge
- Demonstrated knowledge of mathematics, statistics, and quantitative finance
- Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
- Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
- Domain knowledge in either equities, fixed income or alternative asset classes
- Progress towards CFA (or equivalent) a plus
Collaboration & Communication
- Strong presentation and communication skills, with a knack for engaging with quant researchers and investment professionals
- Strong problem-solving skills, with a proven ability to work effectively in cross-functional teams
- A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community
- Lead the implementation of a research project through the entire software development lifecycle using a full-stack implementation
- Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace
- Demonstrates eagerness and aptitude for rapidly adopting new frameworks, technologies, and best practices
The Team
The Quant Development team is part of Asset Management's Quantitative Research & Investment Technology group. We partner with Asset Management's Advance Strategies and Research team on cutting edge projects including systematic investment strategies, portfolio construction, risk management, alpha research, and GenAI. We build high quality, robust, and highly-scalable solutions that are used to improve Asset Management's efficiency and decision-making processes.
The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.
Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications
Category: Information Technology
See all TN Visa Developer Relations Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Developer Relations Engineer Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Developer Relations Engineer
Frame your credentials around CS fundamentals
TN visa approval hinges on your degree matching the Computer Systems Analyst category. A diploma in software engineering, computer science, or information systems strengthens your case far more than a general business or communications degree, even if you've done DevRel work for years.
Target companies with dedicated developer programs
Employers running active developer programs, SDKs, or open-source initiatives are structurally set up to justify DevRel as a technical specialty occupation, which is what CBP officers assess. Prioritize organizations where engineering teams own the DevRel function, not marketing.
Search for TN-sponsored roles using Migrate Mate
Migrate Mate filters job listings by TN visa sponsorship availability, so you spend time on roles where employers already understand the process. Search specifically for Developer Relations Engineer or Developer Advocate listings with TN eligibility confirmed.
Get your offer letter to specify technical duties
The offer letter CBP reviews must describe your role in systems and technical terms, not community or marketing language. Ask your employer to reference duties like API integration support, SDK documentation, and developer tooling evaluation rather than vague advocacy language.
Understand the Mexican TN consular appointment timeline
Mexican citizens apply at a U.S. consulate rather than a port of entry, which adds scheduling lead time. Request your employer lock in start dates at least six to eight weeks out so consular appointment availability doesn't compress your onboarding window.
Prepare for CBP questions on technical scope
Canadian applicants applying at the border should expect CBP officers to probe the technical depth of the role. Bring documentation showing code contribution, API documentation authorship, or technical workshop delivery, not just event appearances or social content.
Developer Relations Engineer TN Visa: Frequently Asked Questions
Does a Developer Relations Engineer role qualify for a TN visa?
Yes, if the role is framed under the Computer Systems Analyst TN category and requires a qualifying degree in computer science, engineering, or a closely related technical field. The job duties matter as much as the title. Roles focused on technical integration, SDK support, and developer tooling support qualify more cleanly than roles centered on community management or marketing.
How does TN compare to H-1B for Developer Relations Engineer positions?
TN has no annual lottery and no cap for Canadian citizens, so you can start working as soon as CBP approves your application at a port of entry. H-1B visa requires winning a lottery with roughly a one-in-four selection rate and waiting until October 1 to begin work. For Mexicans, TN still skips the lottery but requires a consular appointment. Both visas require employer sponsorship, but TN is faster and more predictable for qualifying roles.
What documents does my employer need to provide for TN sponsorship?
Your employer must provide a support letter on company letterhead that specifies your job title, the TN category you're entering under, your proposed start date, your salary, and a description of your duties in technical terms. The letter should also confirm your employer's U.S. business address. Canadian citizens present this letter directly to CBP at the border, while Mexican citizens submit it as part of their consulate package.
Can I find Developer Relations Engineer jobs that already offer TN visa sponsorship?
Yes. Migrate Mate lets you filter job listings by TN visa sponsorship, so you can identify employers who are already familiar with the process and open to sponsoring Canadian and Mexican professionals. Searching with filters specific to TN eligibility saves time and avoids roles where sponsorship is uncertain or where the employer has never navigated a TN application before.
What happens if my TN application is questioned at the border because DevRel isn't explicitly listed as a TN category?
CBP officers evaluate the substance of the role, not the job title. If your application is questioned, your employer's support letter and your own credentials do the work. A letter that clearly maps your duties to systems analysis, API documentation, or developer tooling and cites your technical degree gives the officer a clear basis for approval. Bring supplementary materials like published technical documentation or code samples to reinforce the technical nature of the position.