Backend Infrastructure Engineer Jobs in New York
Backend Infrastructure Engineer jobs in New York are among the most actively recruited technology positions in the country, concentrated in finance, media, and enterprise software across seniority levels from junior engineer through staff and principal. The heaviest hiring is in New York City, with additional demand in Buffalo and Albany where regional tech hubs and state government IT modernization programs create steady openings. Well-established employers with deep New York footprints include JPMorgan Chase, Bloomberg, and Verizon, with consistent demand for specialists in distributed systems, cloud infrastructure on AWS and GCP, and platform reliability engineering. Find a role that fits below and apply directly.
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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.
What you’ll do in the role:
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.
What you’ll bring to the role:
- 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.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
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 .
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.
What you’ll do in the role:
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.
What you’ll bring to the role:
- 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.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
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 .
See All 7 Backend Infrastructure Engineer Jobs in New York
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Find JobsBackend Infrastructure Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Backend Infrastructure Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Manufacturing
- Chemicals & Materials
What New York Employers Look For
The qualifications that appear most often in backend infrastructure engineer jobs across New York.
- Bachelor's degree in computer science, software engineering, or a closely related field
- Hands-on experience with cloud platforms such as AWS, GCP, or Azure in production environments
- Proficiency in infrastructure-as-code tools including Terraform, Ansible, or Pulumi
- Experience designing and operating distributed systems, microservices, or container orchestration with Kubernetes
- Strong knowledge of CI/CD pipelines, observability tooling, and site reliability practices
- Familiarity with networking fundamentals including load balancing, DNS, and virtual private cloud architecture
Backend Infrastructure Engineer Jobs in New York: Frequently Asked Questions
How do you become a backend infrastructure engineer in New York?
Backend infrastructure engineering has no state-issued license in New York, so the path runs through education and demonstrated technical skill. Most roles require a bachelor's degree in computer science or a related field, though strong candidates also come from associate programs at institutions like CUNY or SUNY combined with self-built portfolios. Cloud certifications from AWS, Google, or HashiCorp carry real weight with New York employers, particularly in finance and media where infrastructure reliability is mission-critical.
How much do backend infrastructure engineers make in New York?
Backend infrastructure engineers in New York earn a median of about $166,180 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $97,430 for the lowest 10% to over $224,590 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire backend infrastructure engineers in New York?
Employers hiring backend infrastructure engineers in New York right now include Titan, BNY, and Polymarket, based on current listings on Migrate Mate as of September 2026. New York's dense concentration of financial services firms, media companies, and enterprise software organizations means openings are distributed across a wider range of industries than in most other states.
Which New York cities have the most backend infrastructure engineer jobs?
New York have the most backend infrastructure engineer openings in New York. New York City dominates by volume because of its concentration of global financial institutions, advertising technology firms, and enterprise SaaS companies, while Buffalo and Albany generate demand through regional healthcare networks, state government IT initiatives, and growing startup ecosystems that need foundational infrastructure work.
Are there remote backend infrastructure engineer jobs in New York?
Yes, and more than most fields. About 60% of backend infrastructure engineer openings tied to New York are remote or hybrid as of September 2026, reflecting how naturally the role lends itself to distributed work. Cloud configuration, pipeline automation, and infrastructure-as-code work can be done entirely off-site, though roles involving physical data center management or hardware provisioning still require on-site presence.
How can I get hired as a backend infrastructure engineer in New York with little or no experience?
The most realistic entry path is an associate or junior infrastructure engineer role at a mid-size New York technology company, often reached through internship pipelines at CUNY or SUNY campuses that partner with local employers. Large New York firms like Verizon and Bloomberg run structured early-career programs where candidates move from support or operations roles into infrastructure engineering. Building a portfolio with Terraform and Kubernetes projects on public repositories, paired with an AWS or GCP associate certification, gives candidates without formal experience a concrete edge in screening.
Where can I find and apply to backend infrastructure engineer jobs in New York?
You can find and apply to backend infrastructure engineer jobs in New York on Migrate Mate, which lists current openings tied to New York employers and locations. Find roles that fit your experience and apply directly through the listings.
See All 7 Backend Infrastructure Engineer Jobs in New York
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