Senior Software Development Engineer Jobs at JPMorganChase with Visa Sponsorship
Senior Software Development Engineer jobs at JPMorganChase span its technology and financial infrastructure divisions, with the company maintaining a well-established process for sponsoring work visas in this role. If you're an international candidate targeting a long-term engineering career in U.S. financial services, JPMorganChase is a serious option.
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Get Access To All JobsJob Description
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within Corporate - AIML Data Platforms team, you will design, build, and operate the foundational cloud infrastructure that enables data scientists and machine learning engineers to develop, train, and deploy intelligent solutions across the firm. In this role, you will serve as a technical leader, driving platform reliability, scalability, and automation while collaborating with cross-functional teams to solve complex infrastructure challenges. Your work will directly accelerate the firm's AI/ML capabilities—enabling faster experimentation and production-grade deployments that create measurable business impact.
Job Responsibilities
- Builds and maintains reusable AI/ML platform infrastructure and shared services to support development, deployment, and operations at scale.
- Architects, deploys, and operates secure cloud and container-based environments for training and inference, including GPU-intensive workloads.
- Design and implement platform tooling, automation, and infrastructure-as-code solutions to streamline model deployment, environment provisioning, release management, and operational support.
- Develops and maintains production-grade services, APIs, SDK integrations, and workflows that support model training, serving, evaluation pipelines, and AI application lifecycle management.
- Partners with data science, ML engineering, and application teams to translate model and compute requirements into platform standards and deployment patterns.
- Optimizes platform reliability, scalability, latency, and cost through orchestration, scheduling, and hardware acceleration.
- Establishes operational best practices including monitoring, logging, observability, access controls, incident response, and production troubleshooting.
- Supports enterprise LLM operationalization, including fine-tuning workflows, inference optimization, and evaluation; contribute to documentation and engineering standards.
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience delivering secure, production-quality code in Python or Java.
- Strong foundations in distributed systems, microservices, and platform architecture/design principles.
- Proven ability to architect and operate cloud-native infrastructure on AWS (compute, networking, storage, security) and other major clouds.
- Demonstrated expertise with infrastructure-as-code tooling, specifically Terraform, in large-scale cloud environments.
- Hands-on experience with Docker and Kubernetes, including AWS EKS operations.
- Experience building or supporting production AI/ML platforms (training, deployment, and model serving/inference), including GPU infrastructure/tooling.
- Strong DevOps/platform engineering practices: CI/CD, release automation, automated testing, and observability (monitoring/logging/tracing).
- Experience with SQL/NoSQL databases and data integration; strong Linux, scripting, and networking fundamentals.
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
Preferred Qualifications, Capabilities, And Skills
- Proficiency in Go or Python for automation, tooling development, or platform service implementation.
- Experience with MLOps frameworks and tools such as Kubeflow, MLflow, or similar AI/ML lifecycle management platforms.
- Working knowledge of ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn) for model integration and operationalization.
- Exposure to multi-cloud or hybrid cloud architectures and platform portability strategies.
About us
JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Job Description
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within Corporate - AIML Data Platforms team, you will design, build, and operate the foundational cloud infrastructure that enables data scientists and machine learning engineers to develop, train, and deploy intelligent solutions across the firm. In this role, you will serve as a technical leader, driving platform reliability, scalability, and automation while collaborating with cross-functional teams to solve complex infrastructure challenges. Your work will directly accelerate the firm's AI/ML capabilities—enabling faster experimentation and production-grade deployments that create measurable business impact.
Job Responsibilities
- Builds and maintains reusable AI/ML platform infrastructure and shared services to support development, deployment, and operations at scale.
- Architects, deploys, and operates secure cloud and container-based environments for training and inference, including GPU-intensive workloads.
- Design and implement platform tooling, automation, and infrastructure-as-code solutions to streamline model deployment, environment provisioning, release management, and operational support.
- Develops and maintains production-grade services, APIs, SDK integrations, and workflows that support model training, serving, evaluation pipelines, and AI application lifecycle management.
- Partners with data science, ML engineering, and application teams to translate model and compute requirements into platform standards and deployment patterns.
- Optimizes platform reliability, scalability, latency, and cost through orchestration, scheduling, and hardware acceleration.
- Establishes operational best practices including monitoring, logging, observability, access controls, incident response, and production troubleshooting.
- Supports enterprise LLM operationalization, including fine-tuning workflows, inference optimization, and evaluation; contribute to documentation and engineering standards.
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience delivering secure, production-quality code in Python or Java.
- Strong foundations in distributed systems, microservices, and platform architecture/design principles.
- Proven ability to architect and operate cloud-native infrastructure on AWS (compute, networking, storage, security) and other major clouds.
- Demonstrated expertise with infrastructure-as-code tooling, specifically Terraform, in large-scale cloud environments.
- Hands-on experience with Docker and Kubernetes, including AWS EKS operations.
- Experience building or supporting production AI/ML platforms (training, deployment, and model serving/inference), including GPU infrastructure/tooling.
- Strong DevOps/platform engineering practices: CI/CD, release automation, automated testing, and observability (monitoring/logging/tracing).
- Experience with SQL/NoSQL databases and data integration; strong Linux, scripting, and networking fundamentals.
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
Preferred Qualifications, Capabilities, And Skills
- Proficiency in Go or Python for automation, tooling development, or platform service implementation.
- Experience with MLOps frameworks and tools such as Kubeflow, MLflow, or similar AI/ML lifecycle management platforms.
- Working knowledge of ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn) for model integration and operationalization.
- Exposure to multi-cloud or hybrid cloud architectures and platform portability strategies.
About us
JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See all 52+ Senior Software Development Engineer Jobs at JPMorganChase
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Software Development Engineer Jobs at JPMorganChase.
Get Access To All JobsTips for Finding Senior Software Development Engineer Jobs at JPMorganChase
Align your resume to JPMorganChase's stack
JPMorganChase engineering roles at the senior level emphasize distributed systems, cloud platforms, and large-scale transaction processing. Tailor your resume to reflect experience with those patterns before you apply, not after you get a callback.
Clarify your visa category early
JPMorganChase sponsors multiple visa types for Senior Software Development Engineers. Know whether you need H-1B, E-3, or H-1B1 visa sponsorship before your recruiter screen, because the filing timeline and employer obligations differ significantly across each category.
Target roles in JPMorganChase's core technology divisions
Roles sitting within the firm's Corporate and Investment Bank or Consumer and Community Banking tech organizations tend to have deeper engineering scopes. These divisions have historically needed senior-level engineering talent, which correlates with stronger visa sponsorship activity.
Confirm specialty occupation fit before the offer stage
USCIS scrutinizes H-1B petitions for financial services firms. Make sure the job description you're offered explicitly requires a bachelor's degree or higher in a specific technical field. A generic 'preferred' degree language can create problems at the USCIS adjudication stage.
Use Migrate Mate to filter open roles by visa type
Senior Software Development Engineer openings at JPMorganChase appear across multiple divisions and locations. Search Migrate Mate to filter specifically by the visa types JPMorganChase sponsors, so you're only spending time on roles where sponsorship is confirmed.
Prepare for a PERM labor certification timeline if targeting a Green Card
JPMorganChase sponsors EB-2 and EB-3 Green Cards for engineering roles, but PERM requires DOL to certify no qualified U.S. workers are available. That process runs parallel to your employment, so ask your immigration contact at the firm when sponsorship typically begins after hire.
Frequently Asked Questions
Does JPMorganChase sponsor H-1B visas for Senior Software Development Engineers?
Yes, JPMorganChase sponsors H-1B visas for Senior Software Development Engineers. The firm participates in the annual H-1B lottery, which opens in March and covers roles beginning October 1. Because the H-1B visa is subject to the 85,000-cap lottery, there's no guarantee of selection, so candidates already holding H-1B status or eligible for cap-exempt filing are in a stronger position heading into offer negotiations.
Which visa types does JPMorganChase commonly sponsor for Senior Software Development Engineer roles?
JPMorganChase sponsors H-1B, H-1B1 visa, and E-3 visas for Senior Software Development Engineers, along with immigrant visa pathways including EB-2 and EB-3 for Green Card sponsorship. Australian citizens can target the E-3 visa, which has no lottery and can be filed directly at a U.S. consulate. Chilean and Singaporean nationals may qualify for the H-1B1, which also bypasses the lottery.
How do I apply for Senior Software Development Engineer jobs at JPMorganChase?
Browse open Senior Software Development Engineer positions through Migrate Mate, which filters JPMorganChase listings by the visa types they sponsor. Once you identify a role, apply through JPMorganChase's careers portal. Senior engineering roles typically go through a technical screen, followed by multiple coding and system design rounds before an offer stage where visa sponsorship is confirmed with HR and the firm's immigration team.
What qualifications does JPMorganChase expect for Senior Software Development Engineer positions?
JPMorganChase expects a bachelor's degree or higher in computer science, software engineering, or a closely related field for Senior Software Development Engineer roles. At the senior level, the firm typically looks for substantial professional experience in distributed systems, backend engineering, or cloud infrastructure, along with demonstrated ownership of large-scale production systems. Candidates should be prepared to discuss architectural decisions, not just implementation details, in technical interviews.
How long does the visa sponsorship process take after receiving an offer from JPMorganChase?
Timeline depends on visa type. An E-3 or H-1B1 visa can move from offer to visa stamp in four to eight weeks if the Labor Condition Application is filed promptly with the DOL. An H-1B change of status petition filed within the U.S. takes three to six months with regular processing, or two to three weeks with USCIS premium processing. Green Card sponsorship via PERM is a multi-year process that typically starts after you're established in the role.