E-3 Visa Backend Infrastructure Engineer Jobs
Backend Infrastructure Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a relevant bachelor's degree. Australian engineers working on distributed systems, cloud platforms, or reliability engineering can apply without entering a lottery. The E-3 has a 10,500 annual allocation that has never been exhausted, making sponsorship more predictable than most U.S. work visas.
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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.
See all E-3 Visa Backend Infrastructure Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Backend Infrastructure Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Backend Infrastructure Engineer
Frame your degree field precisely
A computer science or software engineering degree maps cleanly to backend infrastructure roles. If your Australian degree has a broader title like IT or information systems, document coursework in systems architecture or distributed computing to strengthen the specialty occupation case.
Target companies with active LCA filings
Search the DOL's OFLC disclosure data for employers who have filed LCAs for infrastructure, platform, or site reliability engineering roles. Prior LCA filings signal that a company's HR and legal teams already understand the E-3 visa sponsorship process.
Clarify job duties before the offer stage
Backend infrastructure titles cover a wide spectrum. Confirm with the hiring manager that your written job description specifies systems-level responsibilities, not general software development. The LCA must reflect a role that demonstrably requires a specialized degree.
Request the LCA timeline from your employer early
The DOL certifies LCAs within seven business days for standard applications. Ask your employer to initiate the LCA filing as soon as the verbal offer is extended, so certification doesn't delay your consulate appointment scheduling.
Use Migrate Mate's E-3 filing service for end-to-end preparation
Migrate Mate's E-3 filing service handles LCA submission, visa documentation, and consulate preparation in one workflow. This is especially useful when your employer has no prior E-3 experience and needs guided support through the DOL and State Department steps.
Prepare a prevailing wage explanation for your employer
The DOL requires your employer to pay at least the prevailing wage for your role and location. Download the OEWS wage data for your specific SOC code and metro area so your employer can set a compliant offer before filing the LCA.
E-3 Visa Backend Infrastructure Engineer: Frequently Asked Questions
How do I find Backend Infrastructure Engineer jobs that offer E-3 visa sponsorship?
Migrate Mate filters backend infrastructure roles by employers who have active E-3 sponsorship history, so you're not cold-applying and hoping. Standard job searches don't surface sponsorship willingness reliably. Searching through Migrate Mate connects you directly to roles where the employer already understands the E-3 process for Australian engineers.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does Backend Infrastructure Engineer qualify as a specialty occupation for the E-3?
Yes, provided the role requires a bachelor's degree or higher in a specific technical field such as computer science, software engineering, or a related discipline. The key is that the position must genuinely require that specialized degree, not merely accept one. Roles focused on systems reliability, cloud infrastructure, or distributed platform engineering consistently meet this threshold. Generalist IT roles that accept any bachelor's degree are harder to qualify.
How does the E-3 compare to the H-1B for backend infrastructure engineers?
The E-3 has no lottery and no annual numerical cap in practical terms, since the 10,500 allocation has never been fully used. H-1B visa cap-subject petitions enter a lottery where selection is not guaranteed. For Australian engineers, the E-3 also allows consular processing in three to four weeks under typical conditions, whereas H-1B standard processing runs several months. The trade-off is that E-3 requires maintaining a qualifying job offer to remain valid.
Can I switch backend infrastructure employers while on an E-3?
Yes, but there's no portability provision equivalent to H-1B's AC21 rule. You need a new LCA certified by the DOL and a new visa stamp issued for the new employer before you begin work, unless you're changing status from within the U.S. under a new petition. Most engineers plan a brief gap between roles or align the transition with a trip outside the U.S. to process the new stamp at an Australian consulate.