Senior Software Development Engineer Jobs in USA with Visa Sponsorship
Senior Software Development Engineers are among the most sponsored roles in the U.S., with thousands of H-1B visa approvals annually across companies like Amazon, Google, and Microsoft. This role qualifies as a specialty occupation, and your CS or engineering degree maps directly to the position. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAbout the Company
Cloudwick is an AWS-certified data and AI company that helps organizations modernize how they manage and use data. Since 2010, we’ve worked with enterprises and public sector organizations to build secure, scalable data platforms and AI solutions that solve real operational problems.
Amorphic Data Platform
Amorphic is Cloudwick’s cloud-native platform for modern data and AI operations. It runs securely in customer AWS environments and brings together data ingestion, cataloging, access control, governance, and AI enablement in one place. The goal is straightforward: make it easier for organizations to get value from their data without stitching together a long list of tools or taking on unnecessary infrastructure overhead. Amorphic is built with security, usability, and compliance in mind, and is designed for organizations running sensitive and mission-critical workloads.
Amorphic Intelligent Automation Solutions
Our Intelligent Automation solutions help organizations reduce repetitive, manual work through AI-powered automation. Typical use cases include intelligent document processing, workflow automation, case summarization, reporting, routing, and decision support. The focus is on helping teams move faster without a major system overhaul.
About the Role
We’re hiring a Senior AI Engineer, AI Solutions to help design, build, and deliver AI solutions on AWS. This is a hands-on role for an engineer who likes working across the full arc of a project: early experimentation, customer conversations, shipping, and improving things once they’re live. You’ll work closely with customers, product, and engineering to build AI-enabled products that solve real business problems. This role spans early experimentation, customer delivery, and production engineering. We’re looking for someone who can prototype quickly, learn from real customer use, and help mature the right ideas into reliable product capabilities. This is also a high-ownership role in a small US-based team. You should be comfortable operating with a fair amount of autonomy, making sound technical calls, and getting from a vague problem statement to a working system without needing a lot of structure around you.
Responsibilities
- Work with customers, product, and internal teams to understand business problems and turn them into useful AI applications
- Join customer-facing technical discussions, discovery sessions, demos, and solution design conversations
- Help shape pilots and proofs of concept, then decide what should be hardened into reusable product functionality
- Design, build, test, and maintain backend applications and AI workflows using Python and AWS
- Build and improve systems such as RAG pipelines, agentic workflows with tooling baked in, orchestration workflows, document-processing flows, and agent-backed application services
- Make thoughtful tradeoffs around performance, cost, reliability, and speed of delivery
- Contribute to architecture and design decisions with an eye toward systems that are modular, easy to extend, and practical to operate
- Prototype quickly, evaluate new tools and frameworks, and separate what is genuinely useful from what is just new
- Help define how we monitor, evaluate, and improve AI systems in production over time
- Work closely with offshore teams and collaborate effectively across time zones
- Take part in code reviews, design discussions, and technical planning, and help raise the bar on engineering quality across the team
- Write clear technical documentation for both internal teams and customer-facing use
Qualifications
- 5+ years of experience building production software systems
- Strong Python skills and experience building backend or cloud-native applications
- Hands-on experience building AI-enabled applications using LLMs, retrieval, automation, or orchestration patterns
- Experience working with AWS and building cloud-native applications and APIs
- Good software design instincts, especially around building systems that scale and don’t become painful to maintain
- Experience shipping production-quality software with solid testing, debugging, and code review habits
- Familiarity with modern data platform concepts such as ingestion pipelines, metadata, governance, access controls, and working with structured, semi-structured and unstructured data at scale
- Ability to move between quick prototyping and production work without losing sight of what matters
- Strong communication skills and comfort working directly with customers to gather feedback, clarify requirements, and turn those into implementation plans
- Comfort working in a fast-moving environment with a lot of ownership and some ambiguity
- Experience collaborating with distributed teams across timezones
Preferred Skills
- Experience with AWS services such as Bedrock, OpenSearch, Lambda, ECS/Fargate, DynamoDB, S3, EventBridge, Athena, Redshift, Glue and/or Step Functions
- Experience with RAG systems, document AI, agentic workflows, or intelligent automation use cases
- Experience working in regulated, enterprise, or public sector environments
- Experience with modern AWS-native AI tooling and patterns such as Claude on Amazon Bedrock, Amazon Bedrock AgentCore, MCP-based tool integration, Guardrails, Knowledge Bases, and vector search, along with practical experience in agentic workflows, retrieval, and production AI evaluation.
- Experience turning customer-specific builds into reusable internal platforms or product features
- Based in the Bay Area
Work Location
- 94109, San Francisco, United States
- Open to travel for customer-facing work as needed
- Comfortable spending 5–10 hours per week overlapping with offshore teams
Pay range and compensation package
We offer competitive compensation commensurate with experience. We also believe in supporting people well, both professionally and personally. Benefits and perks include:
- Competitive compensation
- Health, life, and disability insurance
- Flexible working hours to support collaboration and personal commitments
- Paid time off and leave policies designed to help you recharge when needed
- Opportunities to work on cutting-edge AI, data, and automation problems
- Access to learning and development resources, including certifications and training
- A collaborative, high-trust environment where strong ideas and strong execution both matter
About the Company
Cloudwick is an AWS-certified data and AI company that helps organizations modernize how they manage and use data. Since 2010, we’ve worked with enterprises and public sector organizations to build secure, scalable data platforms and AI solutions that solve real operational problems.
Amorphic Data Platform
Amorphic is Cloudwick’s cloud-native platform for modern data and AI operations. It runs securely in customer AWS environments and brings together data ingestion, cataloging, access control, governance, and AI enablement in one place. The goal is straightforward: make it easier for organizations to get value from their data without stitching together a long list of tools or taking on unnecessary infrastructure overhead. Amorphic is built with security, usability, and compliance in mind, and is designed for organizations running sensitive and mission-critical workloads.
Amorphic Intelligent Automation Solutions
Our Intelligent Automation solutions help organizations reduce repetitive, manual work through AI-powered automation. Typical use cases include intelligent document processing, workflow automation, case summarization, reporting, routing, and decision support. The focus is on helping teams move faster without a major system overhaul.
About the Role
We’re hiring a Senior AI Engineer, AI Solutions to help design, build, and deliver AI solutions on AWS. This is a hands-on role for an engineer who likes working across the full arc of a project: early experimentation, customer conversations, shipping, and improving things once they’re live. You’ll work closely with customers, product, and engineering to build AI-enabled products that solve real business problems. This role spans early experimentation, customer delivery, and production engineering. We’re looking for someone who can prototype quickly, learn from real customer use, and help mature the right ideas into reliable product capabilities. This is also a high-ownership role in a small US-based team. You should be comfortable operating with a fair amount of autonomy, making sound technical calls, and getting from a vague problem statement to a working system without needing a lot of structure around you.
Responsibilities
- Work with customers, product, and internal teams to understand business problems and turn them into useful AI applications
- Join customer-facing technical discussions, discovery sessions, demos, and solution design conversations
- Help shape pilots and proofs of concept, then decide what should be hardened into reusable product functionality
- Design, build, test, and maintain backend applications and AI workflows using Python and AWS
- Build and improve systems such as RAG pipelines, agentic workflows with tooling baked in, orchestration workflows, document-processing flows, and agent-backed application services
- Make thoughtful tradeoffs around performance, cost, reliability, and speed of delivery
- Contribute to architecture and design decisions with an eye toward systems that are modular, easy to extend, and practical to operate
- Prototype quickly, evaluate new tools and frameworks, and separate what is genuinely useful from what is just new
- Help define how we monitor, evaluate, and improve AI systems in production over time
- Work closely with offshore teams and collaborate effectively across time zones
- Take part in code reviews, design discussions, and technical planning, and help raise the bar on engineering quality across the team
- Write clear technical documentation for both internal teams and customer-facing use
Qualifications
- 5+ years of experience building production software systems
- Strong Python skills and experience building backend or cloud-native applications
- Hands-on experience building AI-enabled applications using LLMs, retrieval, automation, or orchestration patterns
- Experience working with AWS and building cloud-native applications and APIs
- Good software design instincts, especially around building systems that scale and don’t become painful to maintain
- Experience shipping production-quality software with solid testing, debugging, and code review habits
- Familiarity with modern data platform concepts such as ingestion pipelines, metadata, governance, access controls, and working with structured, semi-structured and unstructured data at scale
- Ability to move between quick prototyping and production work without losing sight of what matters
- Strong communication skills and comfort working directly with customers to gather feedback, clarify requirements, and turn those into implementation plans
- Comfort working in a fast-moving environment with a lot of ownership and some ambiguity
- Experience collaborating with distributed teams across timezones
Preferred Skills
- Experience with AWS services such as Bedrock, OpenSearch, Lambda, ECS/Fargate, DynamoDB, S3, EventBridge, Athena, Redshift, Glue and/or Step Functions
- Experience with RAG systems, document AI, agentic workflows, or intelligent automation use cases
- Experience working in regulated, enterprise, or public sector environments
- Experience with modern AWS-native AI tooling and patterns such as Claude on Amazon Bedrock, Amazon Bedrock AgentCore, MCP-based tool integration, Guardrails, Knowledge Bases, and vector search, along with practical experience in agentic workflows, retrieval, and production AI evaluation.
- Experience turning customer-specific builds into reusable internal platforms or product features
- Based in the Bay Area
Work Location
- 94109, San Francisco, United States
- Open to travel for customer-facing work as needed
- Comfortable spending 5–10 hours per week overlapping with offshore teams
Pay range and compensation package
We offer competitive compensation commensurate with experience. We also believe in supporting people well, both professionally and personally. Benefits and perks include:
- Competitive compensation
- Health, life, and disability insurance
- Flexible working hours to support collaboration and personal commitments
- Paid time off and leave policies designed to help you recharge when needed
- Opportunities to work on cutting-edge AI, data, and automation problems
- Access to learning and development resources, including certifications and training
- A collaborative, high-trust environment where strong ideas and strong execution both matter
See all 22,089+ Senior Software Development Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Software Development Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Software Development Engineer
Lead with your tech stack in every application
Employers filing H-1B petitions for software roles must justify the specialty occupation claim. Applications that clearly match your degree and skills to the role's technical requirements make that USCIS justification straightforward, which speeds up the internal sponsorship decision.
Target companies with established H-1B programs
Large tech employers and mid-size software companies with dedicated immigration teams process sponsorships faster and more reliably. Avoid early-stage startups unless they've sponsored before. OFLC disclosure data shows which employers file consistently for this exact role.
Clarify your OPT or visa timeline upfront
Hiring managers often don't know when they need to start the H-1B process relative to your start date. Telling them your authorization expiry date and the cap-subject filing window in April removes confusion and positions you as informed rather than as a risk.
Highlight senior-level scope, not just technical skills
USCIS scrutinizes software roles more than most. Demonstrating that your position involves system design, architectural decisions, or cross-team technical leadership helps establish the theoretical and practical application of knowledge that specialty occupation requires.
Consider employers already sponsoring your specific stack
A company that has previously filed H-1B petitions for React engineers or Java architects has already absorbed the legal and procedural learning curve. That institutional familiarity reduces hesitation and processing friction when they evaluate your application.
Get your credential evaluation ready before interviews
If you completed a three-year bachelor's degree or studied outside the U.S., a credential evaluation confirming U.S. equivalency removes a common bottleneck. Having it ready signals preparation and prevents delays once an employer decides to move forward with sponsorship.
Frequently Asked Questions
Does a Senior Software Development Engineer role qualify for H-1B sponsorship?
Yes. Senior Software Development Engineer is one of the most consistently approved H-1B visa specialty occupations. USCIS looks for a direct relationship between a bachelor's degree in computer science, software engineering, or a related field and the role's duties. Senior-level positions strengthen that case because they typically require theoretical and applied knowledge beyond what a generalist degree provides.
What degree do I need for an employer to sponsor my H-1B as a Senior Software Development Engineer?
A bachelor's degree or higher in computer science, software engineering, information technology, or a closely related field satisfies the specialty occupation requirement. Degrees in mathematics or electrical engineering can qualify if your coursework is technically relevant. If your degree is from outside the U.S., a credential evaluation confirming equivalency to a U.S. four-year bachelor's is required before filing.
How likely is H-1B approval for this role?
Approval rates for software development roles are high relative to other occupations. The primary risk isn't denial on specialty occupation grounds but lottery selection. In recent fiscal years, USCIS received roughly 400,000-plus registrations for 85,000 available slots. Cap-exempt employers, including universities and nonprofit research institutions, bypass the lottery entirely and offer a more predictable path.
Can I find Senior Software Development Engineer jobs that sponsor visas on Migrate Mate?
Yes. Migrate Mate is specifically built for candidates who need sponsorship, so all roles on the platform are filterable by visa type and employer sponsorship history. Browsing Senior Software Development Engineer listings on Migrate Mate surfaces employers who have actively sponsored this role before, which is a much stronger signal than generic job board postings.
Does work experience substitute for a degree when applying for H-1B sponsorship as a software engineer?
It can, but only in specific circumstances. USCIS allows three years of specialized experience to substitute for one year of formal education. Without any degree, you'd need approximately 12 years of relevant experience to establish equivalency to a four-year bachelor's. In practice, most employers and immigration attorneys prefer candidates with a degree because it simplifies the petition and reduces RFE risk.
What is the prevailing wage requirement for sponsored Senior Software Development Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.