H-1B Visa Python Engineer Jobs
Python Engineer roles qualify as H-1B visa specialty occupations under the software developer SOC code, meaning your employer files the Labor Condition Application with DOL before petitioning USCIS. The 85,000-cap lottery runs once per fiscal year, so timing your job search around the registration window directly affects your start date.
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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 Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Python Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Python Engineer
Map your Python skills to SOC codes
USCIS evaluates your petition against the SOC code your employer selects. Pull the O*NET profile for Software Developers (15-1252) to confirm your duties align before your employer files, since a mismatch is a common RFE trigger.
Verify prevailing wage before accepting offers
Your employer must pay at least the DOL prevailing wage for your role and location. Run the OFLC Wage Search using your job title and ZIP code before negotiating, so you know whether the offer clears the Level I through IV threshold.
Target employers with cap-exempt filing history
Universities, nonprofit research institutions, and government-affiliated entities are cap-exempt, meaning your H-1B isn't subject to the lottery. If you want a guaranteed start date, filtering for these employer types on Migrate Mate narrows your search immediately.
Audit your OPT end date against H-1B timelines
USCIS must receive your I-129 petition by April 1 for an October 1 start. If your OPT expires before October 1, confirm your employer can bridge the gap through cap-gap protection, which only applies if you're on F-1 and selected in the lottery.
Request the certified LCA before signing an offer
DOL certifies the LCA before your employer can file the H-1B petition. Ask for a copy once it's certified. If the LCA lists a wage level or job title that doesn't match your offer letter, get it corrected before USCIS receives the I-129.
Check your employer's E-Verify enrollment status
USCIS requires H-1B employers to be enrolled in E-Verify for cap-subject petitions. Confirm your prospective employer's enrollment before investing time in the interview process. An unenrolled employer can't file on your behalf.
H-1B Visa Python Engineer: Frequently Asked Questions
Does a Python Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. USCIS consistently approves Python Engineer and broader software developer roles as specialty occupations because the position normally requires at least a bachelor's degree in computer science, software engineering, or a directly related field. Your employer's job description must reflect that degree requirement, not just list it as preferred. If the posting says 'bachelor's preferred' rather than 'required,' USCIS may issue an RFE questioning specialty occupation status.
How do I find Python Engineer roles at companies that actively sponsor H-1B visas?
Migrate Mate filters Python Engineer listings by employers with verified H-1B Labor Condition Application filing history, so you're not applying blindly to companies that don't sponsor. DOL's LCA disclosure data is publicly available and updated quarterly, which is the underlying signal Migrate Mate uses to surface sponsoring employers.
Can my employer sponsor my H-1B for a fully remote Python Engineer position?
Yes, but the LCA must list the actual worksite location where you'll be performing work, not just the employer's headquarters. For fully remote roles, DOL requires the LCA to cover each location where you'll regularly work, including your home address. If you move states after your H-1B is approved, your employer may need to file an amended petition with USCIS to update your worksite.
What happens to my H-1B if my Python Engineer role is eliminated or my employment ends?
You have a 60-day grace period from your last day of employment to find a new sponsoring employer, change status, or leave the country. Your new employer must file an H-1B transfer petition before the grace period expires. If you're within six years of your original H-1B approval, a new employer can transfer the remaining time rather than starting a new cap-subject petition.
Does my Python Engineer contract or freelance work affect H-1B eligibility?
H-1B status requires an employer-employee relationship, which means the sponsoring company must control your work, set your hours, and direct your day-to-day tasks. Staffing agency placements are permitted under H-1B rules, but the agency is the petitioner of record even if you're placed at a client site. Pure independent contracting arrangements don't meet USCIS requirements for H-1B sponsorship.