TN Visa Developer Experience Jobs
Developer Experience roles qualify for TN visa sponsorship under the USMCA treaty's Computer Systems Analyst and Engineer categories, giving Canadian and Mexican professionals a cap-free path into U.S. developer tools, DevOps, and platform engineering teams. No lottery, no annual wait, and unlimited renewals keep your career moving.
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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 Experience Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Developer Experience Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship in Developer Experience
Map your credentials to qualifying TN categories
Developer Experience roles don't have a single TN visa category. A degree in computer science maps to Computer Systems Analyst; an engineering degree maps to Engineer. Confirm your credential matches the job title before applying.
Target companies with active platform engineering teams
Employers building internal developer portals, CI/CD pipelines, or SDK ecosystems file more TN petitions for DevEx roles. Filter your search to companies with dedicated platform or developer productivity teams.
Request an offer letter that names your TN category explicitly
CBP officers decide TN eligibility at the port of entry. An offer letter that states 'Computer Systems Analyst' or 'Engineer' and connects your role to those duties removes ambiguity and speeds the border decision.
Prepare credential equivalency documentation for Mexican citizens
Mexican TN applicants submit their petition to USCIS, not CBP. Include your degree equivalency evaluation alongside your employer's support letter. USCIS scrutinizes specialty occupation credentials more closely than Canadian border crossings.
Use Migrate Mate to find Developer Experience jobs with TN sponsorship
Most job boards don't filter by visa type or sponsorship history. Migrate Mate surfaces Developer Experience roles at employers actively sponsoring TN visas, so you skip the cold outreach and talk to teams already set up to file.
Confirm your employer doesn't require E-Verify enrollment separately
TN status doesn't require E-Verify, but federal contractors must enroll. If your offer comes from a government contractor, ask HR whether E-Verify is already active before your start date to avoid I-9 delays.
Developer Experience TN Visa: Frequently Asked Questions
Does a Developer Experience role qualify for TN visa sponsorship?
Yes, if your job duties and degree align with an approved TN category. Developer Experience roles typically qualify under Computer Systems Analyst, where a computer science or related degree is required, or under Engineer, if your role involves systems architecture or infrastructure. The job title alone isn't what CBP or USCIS evaluates; the actual duties and your credential match determine eligibility.
How does TN visa compare to H-1B for Developer Experience professionals?
TN has no lottery, no annual cap for Canadians, and no employer sponsorship wait tied to a fiscal year cycle. H-1B visa requires winning a random selection before USCIS even reviews the petition. For Developer Experience roles, which map cleanly to Computer Systems Analyst or Engineer categories, TN is a faster and more predictable path. The trade-off is that TN doesn't carry dual intent, so green card planning requires separate strategy.
Can I search for Developer Experience TN jobs without cold emailing every employer?
Yes. Migrate Mate filters Developer Experience roles by employers with recent visa filings, so you're applying to teams that are experienced with sponsoring work visas. That removes the conversation about whether sponsorship is possible and puts the focus on whether you're the right candidate for the role.
How long does TN approval take for a Developer Experience role?
Canadian citizens get same-day decisions at the port of entry, typically at a pre-clearance border crossing or U.S. airport. Mexican citizens apply through USCIS and typically wait several months for a decision. Neither path involves a lottery wait. If your start date is firm, Canadian applicants can cross the border the morning they're due to begin work.
What happens to my TN status if my Developer Experience role changes within the same company?
If your core duties shift materially, such as moving from developer advocacy into pure product management, you may need a new TN filing to reflect the updated role. Minor scope changes within the same TN category generally don't require a new petition, but your employer should document the change. A role reclassification that no longer fits Computer Systems Analyst or Engineer would require a fresh filing before you perform the new duties.