Back End Developer Visa Sponsorship Jobs in New York
New York is one of the most active markets for back end developer visa sponsorship in the U.S., driven by major tech employers, financial services firms, and a dense concentration of startups in Manhattan and Brooklyn. Companies like JPMorgan Chase, Google, Amazon, and Bloomberg regularly hire sponsored back end engineers across the state.
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Get Access To All JobsINTRODUCTION
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Back-end Engineer - Data Platforms position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.
We are seeking a highly skilled Vice President Backend Software Developer to design, build, and scale enterprise-grade data platforms and backend services supporting critical business and regulatory workloads. The ideal candidate combines deep technical expertise in distributed data processing, modern data architecture, and system design with strong engineering leadership, code quality, and AI-enabled development practices.
As a VP Backend Software Developer, you will be responsible for architecting and delivering scalable backend systems, data pipelines, and platform capabilities that process large volumes of structured and unstructured data. You will partner with product owners, architects, data engineers, and business stakeholders to build resilient, high-performance solutions while establishing engineering best practices across the development lifecycle.
This role requires strong expertise in Python, PySpark, Big Data technologies, Snowflake, Graph Technologies, System Architecture, and AI-assisted software development.
ROLE AND RESPONSIBILITIES
Software Engineering & Development
- Design, develop, and maintain scalable backend applications and services.
- Build high-performance distributed data processing solutions and big data frameworks.
- Develop reusable frameworks, APIs, and platform services supporting enterprise applications.
- Drive design and implementation of real-time and batch processing architectures.
Data Engineering & Platform Development
- Design and implement robust data pipelines for ingestion, transformation, validation, and consumption.
- Develop scalable solutions by leveraging Snowflake and modern cloud-based data platforms.
- Optimize large-scale data processing workloads for performance, reliability, and cost efficiency.
- Support data governance, lineage, observability, and data quality initiatives.
Architecture & Design
- Lead system architecture discussions and define long-term technical roadmaps.
- Produce high-quality architecture and design documentation.
- Evaluate technologies, patterns, and frameworks to improve platform capabilities.
- Ensure solutions meet security, resiliency, scalability, and regulatory requirements.
Graph & Advanced Data Technologies
- Design and implement graph-based data models and analytics solutions.
- Build relationships and network-based insights using graph technologies.
- Evaluate graph databases and related technologies to solve complex business problems.
Engineering Excellence
- Conduct design reviews and code reviews to ensure adherence to engineering standards.
- Establish best practices for testing, CI/CD, performance tuning, and operational excellence.
- Promote software craftsmanship, maintainability, and automation across teams.
- Mentor junior engineers and provide technical leadership.
AI-Enabled Development
- Leverage AI-assisted development tools to improve engineering productivity and code quality.
- Drive adoption of AI-powered coding, documentation, testing, and review capabilities.
- Identify opportunities to integrate AI and automation into engineering workflows.
BASIC QUALIFICATIONS
- Bachelor’s or master’s degree in computer science, Engineering, Information Technology, or related field.
- 8+ years of software engineering experience with a strong focus on backend development.
- Expert-level programming experience using Python.
- Strong hands-on experience with PySpark and distributed data processing.
- Experience with Big Data technologies (e.g., Spark, Hadoop ecosystem, Kafka, Databricks, Delta Lake).
- Strong expertise in Snowflake architecture, data modeling, and performance optimization.
- Experience designing and implementing large-scale data pipelines and data platforms.
- Experience with Graph Technologies and graph-based data solutions.
- Strong understanding of: System Architecture, Application Design Patterns, Microservices Architecture, Event-Driven Architectures, Distributed Systems, API Design.
- Proven experience conducting architecture and code reviews.
- Strong understanding of CI/CD, DevOps, testing frameworks, and software delivery best practices.
- Experience using modern AI developer tools and AI-assisted engineering practices.
PREFERRED QUALIFICATIONS
- Experience within Financial Services, Risk, AML, Transaction Monitoring, Regulatory Technology, or Data Platforms.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with containerization technologies (Docker, Kubernetes).
- Experience building data products supporting advanced analytics, machine learning, or AI workloads.
- Knowledge of data governance, metadata management, and data lineage frameworks.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
Expected base pay rates for the role will be between $155,000 and $215,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
INTRODUCTION
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Back-end Engineer - Data Platforms position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.
We are seeking a highly skilled Vice President Backend Software Developer to design, build, and scale enterprise-grade data platforms and backend services supporting critical business and regulatory workloads. The ideal candidate combines deep technical expertise in distributed data processing, modern data architecture, and system design with strong engineering leadership, code quality, and AI-enabled development practices.
As a VP Backend Software Developer, you will be responsible for architecting and delivering scalable backend systems, data pipelines, and platform capabilities that process large volumes of structured and unstructured data. You will partner with product owners, architects, data engineers, and business stakeholders to build resilient, high-performance solutions while establishing engineering best practices across the development lifecycle.
This role requires strong expertise in Python, PySpark, Big Data technologies, Snowflake, Graph Technologies, System Architecture, and AI-assisted software development.
ROLE AND RESPONSIBILITIES
Software Engineering & Development
- Design, develop, and maintain scalable backend applications and services.
- Build high-performance distributed data processing solutions and big data frameworks.
- Develop reusable frameworks, APIs, and platform services supporting enterprise applications.
- Drive design and implementation of real-time and batch processing architectures.
Data Engineering & Platform Development
- Design and implement robust data pipelines for ingestion, transformation, validation, and consumption.
- Develop scalable solutions by leveraging Snowflake and modern cloud-based data platforms.
- Optimize large-scale data processing workloads for performance, reliability, and cost efficiency.
- Support data governance, lineage, observability, and data quality initiatives.
Architecture & Design
- Lead system architecture discussions and define long-term technical roadmaps.
- Produce high-quality architecture and design documentation.
- Evaluate technologies, patterns, and frameworks to improve platform capabilities.
- Ensure solutions meet security, resiliency, scalability, and regulatory requirements.
Graph & Advanced Data Technologies
- Design and implement graph-based data models and analytics solutions.
- Build relationships and network-based insights using graph technologies.
- Evaluate graph databases and related technologies to solve complex business problems.
Engineering Excellence
- Conduct design reviews and code reviews to ensure adherence to engineering standards.
- Establish best practices for testing, CI/CD, performance tuning, and operational excellence.
- Promote software craftsmanship, maintainability, and automation across teams.
- Mentor junior engineers and provide technical leadership.
AI-Enabled Development
- Leverage AI-assisted development tools to improve engineering productivity and code quality.
- Drive adoption of AI-powered coding, documentation, testing, and review capabilities.
- Identify opportunities to integrate AI and automation into engineering workflows.
BASIC QUALIFICATIONS
- Bachelor’s or master’s degree in computer science, Engineering, Information Technology, or related field.
- 8+ years of software engineering experience with a strong focus on backend development.
- Expert-level programming experience using Python.
- Strong hands-on experience with PySpark and distributed data processing.
- Experience with Big Data technologies (e.g., Spark, Hadoop ecosystem, Kafka, Databricks, Delta Lake).
- Strong expertise in Snowflake architecture, data modeling, and performance optimization.
- Experience designing and implementing large-scale data pipelines and data platforms.
- Experience with Graph Technologies and graph-based data solutions.
- Strong understanding of: System Architecture, Application Design Patterns, Microservices Architecture, Event-Driven Architectures, Distributed Systems, API Design.
- Proven experience conducting architecture and code reviews.
- Strong understanding of CI/CD, DevOps, testing frameworks, and software delivery best practices.
- Experience using modern AI developer tools and AI-assisted engineering practices.
PREFERRED QUALIFICATIONS
- Experience within Financial Services, Risk, AML, Transaction Monitoring, Regulatory Technology, or Data Platforms.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with containerization technologies (Docker, Kubernetes).
- Experience building data products supporting advanced analytics, machine learning, or AI workloads.
- Knowledge of data governance, metadata management, and data lineage frameworks.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
Expected base pay rates for the role will be between $155,000 and $215,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
Back End Developer Job Roles in New York
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Search Back End Developer Jobs in New YorkBack End Developer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for back end developers in New York?
Financial institutions and tech firms are among the most active sponsors for back end developers in New York. JPMorgan Chase, Goldman Sachs, Bloomberg, Google, Amazon, and IBM have consistent track records of sponsoring engineers through H-1B visa and other work visa categories. Mid-size fintech and adtech companies in Manhattan and Brooklyn also sponsor regularly, particularly for backend roles in distributed systems, APIs, and data infrastructure.
Which visa types are most common for back end developer roles in New York?
The H-1B is the most common visa for back end developers in New York, as software engineering roles typically qualify as specialty occupations requiring a bachelor's degree or higher in computer science or a related field. Candidates with extraordinary ability may pursue the O-1A. Australians may qualify for the E-3 visa, which has no lottery. Canadians and Mexicans may be eligible for TN visa status under the USMCA.
Which cities in New York have the most back end developer sponsorship jobs?
Manhattan accounts for the largest concentration of sponsored back end developer roles in New York, particularly in Midtown and Lower Manhattan where finance and enterprise tech firms are headquartered. Brooklyn's tech corridor, especially DUMBO and Williamsburg, has a growing share of startup sponsorships. Buffalo and Albany have smaller but active markets, often connected to state government technology initiatives and university-affiliated employers.
How to find back end developer visa sponsorship jobs in New York?
Migrate Mate is built specifically for international back end developers looking for visa sponsorship jobs in New York. You can filter directly by role and state to see employers who have sponsored work visas for similar positions. This is more targeted than general job searching because listings are curated for sponsorship-willing employers, saving time for candidates on visa timelines who can't afford to pursue roles that won't offer sponsorship.
Are there any New York-specific considerations for back end developers seeking visa sponsorship?
New York employers sponsoring H-1B workers must meet Department of Labor prevailing wage requirements, which are benchmarked to local wage levels. Because New York City has high prevailing wages for software engineers, employers must offer competitive compensation to file a compliant Labor Condition Application. Cornell Tech on Roosevelt Island and Columbia University also generate a steady pipeline of OPT-to-sponsorship transitions, making New York a particularly active market for recent graduates seeking employer sponsorship.
What is the prevailing wage for sponsored back end developer jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.