Top 411 Test framework developer Jobs in New York, Ny

Principal Quant Developer (MLOps)
Fidelity Investments —Jersey City, NJ
- $107,000 - $216,000 a year
- Full-time
- Computer Science
- System design
- Office
- Loan repayment program
- Tuition reimbursement
Java Apps Developer Lead Analyst - Vice President
Citi —New York, NY
- $142,320 - $213,480 a year
- Full-time
- Computer science
- 6 years
- Computer Science
- Paid holidays
- Disability insurance
7d
AI Full Stack Engineer, Manager - Tax Transformation
Deloitte —Jersey City, NJ
- $128,025 - $261,625 a year
- Full-time
- Hybrid work
- CPA
- Computer Science
- 5 years
Apps Development Sr Programmer Analyst - Assistant Vice President
Citi —New York, NY
- $121,200 - $181,800 a year
- Full-time
- Computer science
- Computer Science
- System design
- Paid holidays
- Disability insurance
8d
Full Stack Engineer - Python / Angular
CGI Group, Inc. —Jersey City, NJ
- $89,600 - $156,700 a year
- Full-time
- Azure
- 6 years
- Computer Science
- Paid parental leave
- Paid holidays
Java Backend Developer, Assistant Vice President
Citi —New York, NY
- $121,200 - $181,800 a year
- Full-time
- System design
- Mid-level
- SQL
- Paid holidays
- Disability insurance
Python Full Stack Developer
Matlen Silver —Jersey City, NJ
- $60 - $68 an hour
- Contract
- 3 years
- Java
- Senior level
- Health insurance
- Dental insurance
Quick Apply
IBM Z/OS System Programmer
Yoh, A Day & Zimmermann Company —Jersey City, NJ
- $125,000 - $165,000 a year
- Contract
- Hybrid work
- Computer Science
- Engineering
- Mentoring
- Health savings account
- Disability insurance
Quick Apply
Sr. Lead Machine Learning Engineer
Capital One —New York, NY
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
2d
Full Stack Developer
Everforth —Brooklyn, NY
- $70,000 - $90,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- Dental insurance
- 401(k)
Quick Apply
3d
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)
Capital One —New York, NY
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Senior Machine Learning Engineer (AI Foundations)
Capital One —New York, NY
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
2d
Associate
BlackRock Investments —New York, NY
- $145,000 - $162,000 a year
- Hybrid work
- Computer Science
- Mid-level
- Office
- Health insurance
- Tuition reimbursement
13d
Junior Software Engineer
Class Boxes Technologies —Avenel, NJ
- $75,569.59 - $120,191.34 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Relocation assistance
- Dental insurance
Quick Apply
Software Development Engineer in Test
FlexTrade —Great Neck, NY
- $65,000 - $80,000 a year
- Full-time
- Linux
- Python
- Entry level
Quick Apply
Java Developer
Contact Government Services, LLC —New York, NY
- $140,000 - $220,000 a year
- Full-time
- Mid-level
- 3 years
- SQL
- Health insurance
- Dental insurance
Quick Apply
Frontend Engineer - TeachShare
Pear VC —New York, NY
- $100,000 - $180,000 a year
- Full-time
- Hybrid work
- Mid-level
- HTML
Associate Developer
Agency DEPT OF ENVIRONMENT PROTECTION —Queens, NY
- $75,000 - $130,000 a year
- Full-time
- Computer Science
- Mid-level
- Office
- Loan forgiveness
Microsoft Power Platform Developer, Tier 1
Empire State —New York, NY
- $115,000 - $125,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- Microsoft Office
Quick Apply
Senior Front-End Developer
The Museum of Modern Art —New York, NY
- $140,000 - $160,000 a year
- Computer Science
- 5 years
- System design
Quick Apply

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test framework developer jobs near new york, ny

Principal Quant Developer (MLOps)

Fidelity Investments -
Jersey City, NJ

Apply Now

Job Details

Full-time
$107,000 - $216,000 a year

Benefits

Loan repayment program
Tuition reimbursement
Paid time off
Parental leave

Qualifications

Software engineering
Time series models
Test Automation Development (Quality assurance practices)
Engineering development testing
Software implementation
Implementing APIs
Probability theory
DevOps automation
PL/SQL

Full Job Description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

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

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.

Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

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.

Refine Your Search

test framework developer jobs in new york, ny

Principal Quant Developer (MLOps)

Java Apps Developer Lead Analyst - Vice President

AI Full Stack Engineer, Manager - Tax Transformation

Apps Development Sr Programmer Analyst - Assistant Vice President

Full Stack Engineer - Python / Angular

Java Backend Developer, Assistant Vice President

Python Full Stack Developer

IBM Z/OS System Programmer

Sr. Lead Machine Learning Engineer

Full Stack Developer

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)

Senior Machine Learning Engineer (AI Foundations)

Associate

Junior Software Engineer

Software Development Engineer in Test

Java Developer

Frontend Engineer - TeachShare

Associate Developer

Microsoft Power Platform Developer, Tier 1

Senior Front-End Developer

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