H-1B Visa Senior Python Engineer Jobs
Senior Python Engineer roles qualify as H-1B visa specialty occupations under the computer occupations category, requiring at least a bachelor's degree in computer science or a related field. Most employers filing H-1B petitions for this role fall under the cap-subject category, making October 1 the earliest start date after a successful lottery selection.
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Get Access To All JobsPosition – Python-React Sr/Lead Fullstack (Hands-on IC (Individual Contributor))
Duration: Full Time
Location: Remote but Travel required occasionally to NY OR NJ
Experience: 10+ years of software engineering experience, including 3+ years at Lead / Principal IC level
Location: New York OR New Jersey – Remote (but travel when required)
Full Stack Architect – AI-Enabled Platform Engineering (Hands-on IC)
Product Development, Sustenance, Modernization & Agentic AI infusion
Travel: 25% during active client engagements
Experience Level: 15+ years
About Persistent Systems
Persistent Systems is a global digital engineering and enterprise modernization partner. We combine agentic AI, proprietary accelerators, and a forward-deployed delivery model to help PE-backed software companies, regulated enterprises, and Global Capability Centers modernize legacy systems and embed AI at the core of how they build and operate software.
About the Role
As a Full Stack Architect, you will be the senior-most hands-on full stack engineer embedded within a modern AI-enabled platform team, responsible for architecting and delivering a unified application that consolidates fragmented workflows into a centralized, scalable system. In this role, you will lead the design and development of both frontend and backend layers—building the application shell, user interface, and supporting services that power complex workflows, collaboration experiences, and structured evaluation processes. You will also drive integration with enterprise systems, data pipelines, and analytics platforms, enabling seamless interaction across structured and unstructured data sources. You will leverage Claude AI extensively as an engineering productivity accelerator—driving faster delivery, improving development efficiency, and enabling high-quality code, system design, and documentation. Claude will be a core part of your daily engineering workflow (coding, debugging, UI development, backend services, integrations, and documentation acceleration), but not a runtime dependency of the application architecture. This is a pure individual contributor architect role with ownership across the full technology stack—from user experience to backend services and integrations. Approximately 70–75% of your time will be hands-on coding, system design, and full stack engineering, with the remainder focused on collaboration with product and stakeholder teams to ensure successful delivery of a high-quality, enterprise-grade platform.
Key Responsibilities
- Architect and build the end-to-end full stack platform that unifies fragmented workflows into a centralized, scalable, and AI-enabled application experience.
- Design and implement frontend and backend components, including application shell, UI layers, APIs, and supporting services, ensuring performance, scalability, and production readiness.
- Develop and integrate workflow-driven modules such as collaboration interfaces, structured evaluation forms, and exportable artifacts for downstream usage and reuse.
- Build and manage integrations with enterprise systems, data pipelines, analytics platforms, and external data artifacts, enabling seamless interaction across structured and unstructured data sources.
- Design and implement systems that support AI-assisted workflows, enabling enriched user interactions, intelligent recommendations, and data-driven decision-making capabilities.
- Leverage Claude AI extensively as an engineering productivity accelerator—driving faster GTM through rapid prototyping, full stack development, debugging, and system design acceleration.
- Establish and scale Claude-driven development practices to enhance developer productivity, reduce delivery cycles, and improve code quality across the engineering lifecycle.
- Own full stack technical design and architecture, translating product and workflow requirements into robust, scalable, and maintainable implementations.
- Operate as a highly hands-on individual contributor, actively participating in coding, design reviews, and day-to-day engineering execution within an embedded team model.
- Ensure high engineering standards across the stack, including code quality, modular architecture, testing rigor, usability, and long-term maintainability.
- Drive execution discipline and delivery outcomes, ensuring the platform is production-grade, scalable, and aligned with rapid iteration needs enabled by AI-assisted development.
Required Qualifications
- 10+ years of software engineering experience, including 5+ years at Principal Lead/ Senior IC level building large-scale full stack platforms in enterprise environments.
- Proven experience designing and delivering end-to-end full stack systems that combine rich user interfaces, scalable backend services, and data-driven workflows.
- Demonstrated ownership of architecture and delivery for multiple large-scale platform programs with measurable impact on scalability, performance, usability, and time-to-market.
- Active hands-on engineer, currently building production-grade applications across frontend and backend, reviewing PRs, and driving engineering standards.
- Strong experience working in embedded/forward-deployed engineering models, collaborating directly with product and stakeholders to translate evolving requirements into scalable systems.
- Extensive usage of Claude AI or equivalent AI coding assistants as a core development accelerator—demonstrated impact on engineering velocity, code quality, and GTM timelines.
Full Stack Engineering (Required — Primary Focus Area)
- Strong expertise in frontend development using modern frameworks (React, Angular, or equivalent) for building scalable, responsive, and intuitive user interfaces.
- Deep expertise in backend development using Python, Java, or .NET (C#) for building high-performance, enterprise-grade systems.
- Hands-on experience building API-driven and service-oriented architectures (REST, GraphQL, event-driven patterns) across the stack.
- Proven ability to design and build scalable backend services and microservices architectures with strong modular and domain-driven design principles.
- Strong knowledge of data modeling, persistence layers, and database design (SQL/NoSQL) for high-volume, high-performance systems.
- Experience implementing event-driven and asynchronous systems using messaging, queues, and distributed processing patterns.
- Strong understanding of performance optimization, caching, scalability, and resiliency patterns across frontend and backend layers.
- Experience building secure applications with authentication, authorization, and governance controls for enterprise environments.
- Proven ability to design and deliver end-to-end application workflows spanning UI, APIs, business logic, and data layers.
Cloud & Platform Engineering (Required — Primary Focus Area)
- Hands-on experience with cloud-native application development, including frontend hosting, backend services, and API management.
- Experience integrating with enterprise systems, data pipelines, and analytics platforms.
- Familiarity with designing systems that support AI-assisted workflows and intelligent application experiences.
- Strong understanding of CI/CD pipelines, observability, deployment models, and performance monitoring in distributed systems.
Claude AI–Driven Engineering (Required — Differentiator)
- Extensive hands-on usage of Claude AI for software development, including:
- Code generation and rapid prototyping
- Debugging and optimization
- System design exploration
- Documentation and knowledge capture
- Demonstrated ability to accelerate GTM timelines using Claude AI, reducing development cycle times while maintaining high quality.
- Experience establishing Claude-driven development workflows and best practices within engineering teams.
- Ability to balance AI-assisted development with strong engineering judgment, ensuring maintainable, production-grade code.
Engineering Excellence & Delivery (Required)
- Strong grounding in engineering best practices: code quality, modular architecture, testing discipline, and maintainability
- Excellent problem-solving and system design skills, with the ability to operate independently in high-ownership IC roles
- Strong communication skills, including working with product managers and stakeholders to shape technical solutions
Preferred Qualifications
- Certifications relevant to full stack and cloud engineering such as Azure Solutions Architect Expert, Azure Developer Associate, AWS / GCP equivalents, along with strong proficiency in Python, Java, or .NET (C#) ecosystems.
- Demonstrated use of Claude AI (or equivalent AI coding assistants) to accelerate full stack development, driving measurable improvements in engineering productivity and development cycle times.
- Experience building enterprise-grade full stack platforms with complex workflows, integrations, and distributed system architectures, ideally in domains such as enterprise SaaS, digital platforms, or financial services.
- Exposure to AI-enabled application platforms and workflow-driven systems, including intelligent user interactions, recommendations, or data-assisted decision-making features. Experience with modern frontend and backend ecosystems (React/Angular with Python/Java/.NET services) and operating in high-velocity, embedded delivery environments collaborating closely with product teams.
Position – Python-React Sr/Lead Fullstack (Hands-on IC (Individual Contributor))
Duration: Full Time
Location: Remote but Travel required occasionally to NY OR NJ
Experience: 10+ years of software engineering experience, including 3+ years at Lead / Principal IC level
Location: New York OR New Jersey – Remote (but travel when required)
Full Stack Architect – AI-Enabled Platform Engineering (Hands-on IC)
Product Development, Sustenance, Modernization & Agentic AI infusion
Travel: 25% during active client engagements
Experience Level: 15+ years
About Persistent Systems
Persistent Systems is a global digital engineering and enterprise modernization partner. We combine agentic AI, proprietary accelerators, and a forward-deployed delivery model to help PE-backed software companies, regulated enterprises, and Global Capability Centers modernize legacy systems and embed AI at the core of how they build and operate software.
About the Role
As a Full Stack Architect, you will be the senior-most hands-on full stack engineer embedded within a modern AI-enabled platform team, responsible for architecting and delivering a unified application that consolidates fragmented workflows into a centralized, scalable system. In this role, you will lead the design and development of both frontend and backend layers—building the application shell, user interface, and supporting services that power complex workflows, collaboration experiences, and structured evaluation processes. You will also drive integration with enterprise systems, data pipelines, and analytics platforms, enabling seamless interaction across structured and unstructured data sources. You will leverage Claude AI extensively as an engineering productivity accelerator—driving faster delivery, improving development efficiency, and enabling high-quality code, system design, and documentation. Claude will be a core part of your daily engineering workflow (coding, debugging, UI development, backend services, integrations, and documentation acceleration), but not a runtime dependency of the application architecture. This is a pure individual contributor architect role with ownership across the full technology stack—from user experience to backend services and integrations. Approximately 70–75% of your time will be hands-on coding, system design, and full stack engineering, with the remainder focused on collaboration with product and stakeholder teams to ensure successful delivery of a high-quality, enterprise-grade platform.
Key Responsibilities
- Architect and build the end-to-end full stack platform that unifies fragmented workflows into a centralized, scalable, and AI-enabled application experience.
- Design and implement frontend and backend components, including application shell, UI layers, APIs, and supporting services, ensuring performance, scalability, and production readiness.
- Develop and integrate workflow-driven modules such as collaboration interfaces, structured evaluation forms, and exportable artifacts for downstream usage and reuse.
- Build and manage integrations with enterprise systems, data pipelines, analytics platforms, and external data artifacts, enabling seamless interaction across structured and unstructured data sources.
- Design and implement systems that support AI-assisted workflows, enabling enriched user interactions, intelligent recommendations, and data-driven decision-making capabilities.
- Leverage Claude AI extensively as an engineering productivity accelerator—driving faster GTM through rapid prototyping, full stack development, debugging, and system design acceleration.
- Establish and scale Claude-driven development practices to enhance developer productivity, reduce delivery cycles, and improve code quality across the engineering lifecycle.
- Own full stack technical design and architecture, translating product and workflow requirements into robust, scalable, and maintainable implementations.
- Operate as a highly hands-on individual contributor, actively participating in coding, design reviews, and day-to-day engineering execution within an embedded team model.
- Ensure high engineering standards across the stack, including code quality, modular architecture, testing rigor, usability, and long-term maintainability.
- Drive execution discipline and delivery outcomes, ensuring the platform is production-grade, scalable, and aligned with rapid iteration needs enabled by AI-assisted development.
Required Qualifications
- 10+ years of software engineering experience, including 5+ years at Principal Lead/ Senior IC level building large-scale full stack platforms in enterprise environments.
- Proven experience designing and delivering end-to-end full stack systems that combine rich user interfaces, scalable backend services, and data-driven workflows.
- Demonstrated ownership of architecture and delivery for multiple large-scale platform programs with measurable impact on scalability, performance, usability, and time-to-market.
- Active hands-on engineer, currently building production-grade applications across frontend and backend, reviewing PRs, and driving engineering standards.
- Strong experience working in embedded/forward-deployed engineering models, collaborating directly with product and stakeholders to translate evolving requirements into scalable systems.
- Extensive usage of Claude AI or equivalent AI coding assistants as a core development accelerator—demonstrated impact on engineering velocity, code quality, and GTM timelines.
Full Stack Engineering (Required — Primary Focus Area)
- Strong expertise in frontend development using modern frameworks (React, Angular, or equivalent) for building scalable, responsive, and intuitive user interfaces.
- Deep expertise in backend development using Python, Java, or .NET (C#) for building high-performance, enterprise-grade systems.
- Hands-on experience building API-driven and service-oriented architectures (REST, GraphQL, event-driven patterns) across the stack.
- Proven ability to design and build scalable backend services and microservices architectures with strong modular and domain-driven design principles.
- Strong knowledge of data modeling, persistence layers, and database design (SQL/NoSQL) for high-volume, high-performance systems.
- Experience implementing event-driven and asynchronous systems using messaging, queues, and distributed processing patterns.
- Strong understanding of performance optimization, caching, scalability, and resiliency patterns across frontend and backend layers.
- Experience building secure applications with authentication, authorization, and governance controls for enterprise environments.
- Proven ability to design and deliver end-to-end application workflows spanning UI, APIs, business logic, and data layers.
Cloud & Platform Engineering (Required — Primary Focus Area)
- Hands-on experience with cloud-native application development, including frontend hosting, backend services, and API management.
- Experience integrating with enterprise systems, data pipelines, and analytics platforms.
- Familiarity with designing systems that support AI-assisted workflows and intelligent application experiences.
- Strong understanding of CI/CD pipelines, observability, deployment models, and performance monitoring in distributed systems.
Claude AI–Driven Engineering (Required — Differentiator)
- Extensive hands-on usage of Claude AI for software development, including:
- Code generation and rapid prototyping
- Debugging and optimization
- System design exploration
- Documentation and knowledge capture
- Demonstrated ability to accelerate GTM timelines using Claude AI, reducing development cycle times while maintaining high quality.
- Experience establishing Claude-driven development workflows and best practices within engineering teams.
- Ability to balance AI-assisted development with strong engineering judgment, ensuring maintainable, production-grade code.
Engineering Excellence & Delivery (Required)
- Strong grounding in engineering best practices: code quality, modular architecture, testing discipline, and maintainability
- Excellent problem-solving and system design skills, with the ability to operate independently in high-ownership IC roles
- Strong communication skills, including working with product managers and stakeholders to shape technical solutions
Preferred Qualifications
- Certifications relevant to full stack and cloud engineering such as Azure Solutions Architect Expert, Azure Developer Associate, AWS / GCP equivalents, along with strong proficiency in Python, Java, or .NET (C#) ecosystems.
- Demonstrated use of Claude AI (or equivalent AI coding assistants) to accelerate full stack development, driving measurable improvements in engineering productivity and development cycle times.
- Experience building enterprise-grade full stack platforms with complex workflows, integrations, and distributed system architectures, ideally in domains such as enterprise SaaS, digital platforms, or financial services.
- Exposure to AI-enabled application platforms and workflow-driven systems, including intelligent user interactions, recommendations, or data-assisted decision-making features. Experience with modern frontend and backend ecosystems (React/Angular with Python/Java/.NET services) and operating in high-velocity, embedded delivery environments collaborating closely with product teams.
See all 451+ H-1B Visa Senior Python Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Senior Python Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Senior Python Engineer
Match your resume to specialty occupation criteria
USCIS evaluates whether a Senior Python Engineer role genuinely requires a specific degree. Tailor your resume to reflect work that demands a computer science or engineering background, not just scripting tasks any generalist could perform.
Use OFLC Wage Search before negotiating offers
Your employer must pay at least the prevailing wage for your SOC code and work location. Pull the Level III or IV wage from OFLC Wage Search for Software Developers in your metro area before you accept an offer.
Target employers with cap-exempt filing options
Universities, nonprofit research organizations, and government research entities are cap-exempt, meaning they can file your H-1B petition any time without waiting for the April lottery. Python roles in academic computing and research labs qualify.
Filter employers by LCA filing history on Migrate Mate
Search Senior Python Engineer roles on Migrate Mate to see which employers have active Labor Condition Application filings for this occupation code, so you target companies already set up to sponsor rather than those encountering the process for the first time.
Verify your employer registers in the lottery on time
USCIS opens H-1B registration in early March each year. Confirm your employer submits your registration before the window closes. Missing the window means waiting a full year, even if your offer letter and credentials are otherwise ready.
Document distributed work arrangements before I-129 filing
Senior Python Engineers often work across multiple client sites or remote locations. Each worksite requires its own certified LCA before your employer files Form I-129. Gaps in LCA coverage can trigger a Request for Evidence from USCIS.
H-1B Visa Senior Python Engineer: Frequently Asked Questions
Does a Senior Python Engineer role qualify as an H-1B specialty occupation?
Yes. Senior Python Engineer positions qualify under the computer occupations SOC codes that USCIS recognizes as specialty occupations, provided the role genuinely requires at least a bachelor's degree in computer science, software engineering, or a directly related field. Roles framed as general scripting or IT support, rather than software development, can face RFE scrutiny, so your job description and duties should reflect the engineering-level complexity the position actually involves.
Which employers sponsor H-1B visas for Senior Python Engineer jobs?
Technology companies, financial services firms, cloud infrastructure providers, and enterprise software companies are the most consistent H-1B sponsors for Python engineering roles. To find employers who have already filed Labor Condition Applications for this occupation code, search on Migrate Mate, which surfaces companies with verified H-1B filing history so you're targeting employers with an established sponsorship process rather than starting that conversation from scratch.
What happens to my H-1B status if I change employers mid-petition?
If you change employers after your H-1B petition is approved but before your start date, your current approval becomes void and your new employer must file a fresh petition. If you're already working on H-1B status, your new employer can file an H-1B transfer petition and you can start working for them once USCIS receives it, without waiting for approval, under the portability rules in AC21.
Can I work on OPT as a Senior Python Engineer while waiting for H-1B approval?
Yes. If you're on F-1 OPT or STEM OPT and your employer files your H-1B petition before your OPT expires, the cap-gap rule automatically extends your work authorization until October 1, when your H-1B becomes effective. You can continue working in your Senior Python Engineer role throughout that period without interruption, as long as your employer filed before your OPT end date.
Does the location where I work affect my H-1B petition as a Python Engineer?
Yes. Each worksite requires a certified Labor Condition Application tied to that specific location, and the prevailing wage obligation is set based on where you actually perform the work. Remote work across state lines or frequent client-site rotations can create compliance gaps if your employer's LCA coverage doesn't match your actual work locations. Confirm your employer's LCA covers every location before your I-129 is filed.