H-1B Visa Python Developer Jobs
Python Developer roles qualify as H-1B visa specialty occupations under the software developer SOC code, meaning your employer files a Labor Condition Application with DOL before petitioning USCIS. The 85,000-slot annual cap and lottery apply to most private employers, but cap-exempt institutions, universities, nonprofits affiliated with research, can sponsor year-round.
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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 Python Developer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Python Developer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Python Developer
Map your Python skills to SOC codes
USCIS evaluates your role against the SOC classification your employer lists on the LCA. Check the O*NET profile for Software Developers and Web Developers to confirm your duties align, since mismatches between job duties and SOC codes are a common RFE trigger.
Verify employer LCA filing history first
Before applying, use Migrate Mate to filter Python Developer roles by verified DOL LCA filings. Employers with recent LCA certifications have already cleared the prevailing-wage step, which signals a faster path from offer to petition than employers filing for the first time.
Target cap-exempt employers for year-round filing
Universities, nonprofit research organizations, and their affiliated entities are exempt from the 85,000-slot cap. Python roles in data engineering, research computing, or academic software development at these institutions can be filed any time without waiting for the April registration window.
Confirm the prevailing wage tier before negotiating
Run your job title and work location through the OFLC Wage Search to identify the Level I through Level IV prevailing wage for your SOC code. Your offered salary must meet or exceed that figure, and negotiating below it puts the LCA certification at risk.
Request premium processing if your OPT is expiring
If you're on OPT with an end date approaching, ask your prospective employer to file Form I-907 alongside the H-1B petition. USCIS processes premium petitions within 15 business days, which matters if your authorized period ends before standard adjudication would complete.
Document specialized frameworks in your support letter
Generic 'software developer' job descriptions invite RFEs. Have your employer's support letter specify the Python frameworks you'll use, the degree field directly required, and why a bachelor's in computer science or a related discipline is the minimum for your particular role.
H-1B Visa Python Developer: Frequently Asked Questions
Do Python Developer roles qualify as H-1B specialty occupations?
Yes. Python Developer positions map to the Software Developers SOC code, which USCIS consistently recognizes as a specialty occupation requiring at least a bachelor's degree in computer science, software engineering, or a directly related field. The key is that your employer's job description ties the specific Python duties to that degree requirement, rather than listing it as a preference.
How do I find Python Developer jobs where the employer has H-1B sponsorship experience?
Search on Migrate Mate, which filters listings by verified DOL LCA filing history. Employers who have previously certified LCAs for Python or software developer roles understand the prevailing-wage obligation and the petition timeline, which reduces delays after you accept an offer. First-time sponsors often underestimate the six-to-eight-week window between LCA filing and petition submission.
Can a contract or staffing agency sponsor my H-1B for a Python role?
Staffing agencies can sponsor H-1B workers for Python positions, but USCIS scrutinizes third-party placement arrangements closely. The agency must control your day-to-day work, pay your salary regardless of client assignment, and demonstrate a qualifying employer-employee relationship. End-client Python contracts that lack these controls face higher denial rates, so confirm the agency has experience with USCIS's specialty occupation and employer-employee requirements before signing.
What happens to my H-1B status if my Python Developer role shifts to a different team or project?
A material change in job duties, worksite location, or salary can require an amended H-1B petition before the change takes effect. Shifting from backend Python development to a data science or machine learning role often changes the SOC code, which triggers a new LCA and an amendment filing with USCIS. Notify your employer's immigration counsel as soon as a role change is proposed, not after the transition is complete.
Does a master's degree in computer science improve my H-1B lottery odds as a Python Developer?
Yes. Registrations for holders of a U.S. master's degree or higher in a USCIS-designated specialty field enter a separate advanced-degree pool first. If your cap count isn't reached there, those registrations roll into the general 65,000-slot pool, effectively giving you two lottery chances. A master's from a foreign institution does not qualify for this pool, but a U.S. master's in computer science or a related field does.