OPT Principal Full Stack Engineer Jobs
Principal Full Stack Engineer roles attract strong OPT sponsorship because employers filing H-1B visa and E-3 visa petitions need senior engineers who can own architecture decisions, not just execute tickets. Your 12-month standard OPT window, or 24-month STEM extension if your degree qualifies, gives you enough runway to prove that value.
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Get Access To All JobsCorporate:
Light & Wonder’s corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees.
Position Summary
About the Team
We are building a tight-knit, senior engineering group based in Austin, TX, tasked with creating the next generation of enterprise automation at Light & Wonder. Our mission is to design, deliver, and scale production-grade Agentic AI workflows that execute highly complex, meaningful tasks across the business.
We will operate like a high-functioning startup within the enterprise: we favor shipping over process, rigorous evaluation over opinions, and strategic platform investments that make every subsequent deployment faster. We are leaning heavily into the modern Microsoft ecosystem, anchoring our architecture on the newly GA Microsoft Agent Framework (.NET), Azure OpenAI, and an advanced data backend powered by Snowflake, Databricks, and Microsoft Fabric. If you want to build resilient, multi-agent systems at enterprise scale, this is the team.
About the Role
We are looking for highly capable product builders who will own complex agentic workflows from the user interface down to the model execution. You will navigate across a React front-end, a C#/.NET orchestration layer, and various tool integrations to deliver agents that feel like refined, intelligent products.
You will not be confined to a single layer of the stack. You will be responsible for the orchestration logic, multi-agent handoffs, and the rigorous evaluation coverage, ensuring your agents behave predictably in production. We don't expect you to have years of experience with the Microsoft Agent Framework specifically. We do expect broad technical expertise, a deep understanding of modern async patterns, and the ability to ship resilient AI software.
Essential Job Functions
- Deliver production-grade agent workflows end-to-end, spanning conversational UI, orchestration logic, and tool integrations
- Build intuitive, embedded agent interfaces using AG-UI and CopilotKit to deliver a refined product experience
- Implement robust orchestration using Microsoft Agent Framework (.NET), handling tool calling, multi-agent patterns, and human-in-the-loop handoffs
- Integrate with low-code platforms like N8N for workflow edge cases to accelerate delivery without sacrificing reliability
- Develop comprehensive behavioral, regression, and adversarial evaluations for all shipped workflows to guarantee production reliability
- Collaborate with Data Engineering on consumable data surfaces and with Platform Engineering on deployment and observability standards
- Contribute to shared platform primitives, reusable templates, and rigorous code review practices across the team
Required Qualifications
- 3+ years of professional software engineering experience, with meaningful production depth on both front and back ends
- Strong proficiency in C# and .NET for server-side work, including modern .NET (8 / 9 / 10), async patterns, and dependency injection. This is the primary stack and is required, not preferred
- Strong proficiency in TypeScript and React for front-end work
- Experience shipping at least one production system that uses LLMs end-to-end. "Production" means real users, real reliability constraints, and real evals - not a hackathon project or a tutorial follow-along. Multi-step orchestration or agent experience preferred over single-completion-call experience
- Demonstrated ability to learn unfamiliar frameworks quickly and write production-grade code while doing so. We will probe for this in the technical screen
- Strong grasp of API design, auth, async patterns, and the tradeoffs of streaming versus request-response
- Working knowledge of Azure primitives (App Service / AKS / Functions, Key Vault, API Management, Entra ID) and comfort writing IaC (Bicep)
- Experience writing evals for non-deterministic systems: behavioral tests, regression harnesses, human-rated samples
Preferred Qualifications
- Hands-on time with Microsoft Agent Framework, Semantic Kernel, or AutoGen. MAF specifically is recently GA; depth is uncommon and not required
- Experience with .NET Aspire and Azure Functions hosting patterns for agents
- Experience with AG-UI, CopilotKit, or comparable agent/copilot UI frameworks
- Experience with N8N, Make, Zapier, or similar low-code / automation platforms at production scale
- Experience with Foundry Observability and Foundry Evals, including the Azure DevOps Foundry-evals extension for CI/CD
- Prior experience on a platform or developer experience team. You know what reusable looks like
- Exposure to enterprise identity (Entra ID / AAD), data classification, and DLP patterns
- Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) interoperability patterns
Education
Bachelor's degree in Computer Science or related field, or equivalent professional experience.
Physical Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, stand, walk, bend, use hands, operate a computer, and have specific vision abilities to include close and distance vision, and the ability to adjust focus while working with computer and business equipment.
Work Conditions
Light & Wonder and its affiliates (collectively, L&W) are engaged in highly regulated gaming businesses. As a result, certain L&W employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure L&W complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, L&W requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with L&W (to the extent permitted by law), you shall be asked to consent to L&W conducting a due diligence/background investigation on you.
This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.
Light & Wonder is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law.
Corporate:
Light & Wonder’s corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees.
Position Summary
About the Team
We are building a tight-knit, senior engineering group based in Austin, TX, tasked with creating the next generation of enterprise automation at Light & Wonder. Our mission is to design, deliver, and scale production-grade Agentic AI workflows that execute highly complex, meaningful tasks across the business.
We will operate like a high-functioning startup within the enterprise: we favor shipping over process, rigorous evaluation over opinions, and strategic platform investments that make every subsequent deployment faster. We are leaning heavily into the modern Microsoft ecosystem, anchoring our architecture on the newly GA Microsoft Agent Framework (.NET), Azure OpenAI, and an advanced data backend powered by Snowflake, Databricks, and Microsoft Fabric. If you want to build resilient, multi-agent systems at enterprise scale, this is the team.
About the Role
We are looking for highly capable product builders who will own complex agentic workflows from the user interface down to the model execution. You will navigate across a React front-end, a C#/.NET orchestration layer, and various tool integrations to deliver agents that feel like refined, intelligent products.
You will not be confined to a single layer of the stack. You will be responsible for the orchestration logic, multi-agent handoffs, and the rigorous evaluation coverage, ensuring your agents behave predictably in production. We don't expect you to have years of experience with the Microsoft Agent Framework specifically. We do expect broad technical expertise, a deep understanding of modern async patterns, and the ability to ship resilient AI software.
Essential Job Functions
- Deliver production-grade agent workflows end-to-end, spanning conversational UI, orchestration logic, and tool integrations
- Build intuitive, embedded agent interfaces using AG-UI and CopilotKit to deliver a refined product experience
- Implement robust orchestration using Microsoft Agent Framework (.NET), handling tool calling, multi-agent patterns, and human-in-the-loop handoffs
- Integrate with low-code platforms like N8N for workflow edge cases to accelerate delivery without sacrificing reliability
- Develop comprehensive behavioral, regression, and adversarial evaluations for all shipped workflows to guarantee production reliability
- Collaborate with Data Engineering on consumable data surfaces and with Platform Engineering on deployment and observability standards
- Contribute to shared platform primitives, reusable templates, and rigorous code review practices across the team
Required Qualifications
- 3+ years of professional software engineering experience, with meaningful production depth on both front and back ends
- Strong proficiency in C# and .NET for server-side work, including modern .NET (8 / 9 / 10), async patterns, and dependency injection. This is the primary stack and is required, not preferred
- Strong proficiency in TypeScript and React for front-end work
- Experience shipping at least one production system that uses LLMs end-to-end. "Production" means real users, real reliability constraints, and real evals - not a hackathon project or a tutorial follow-along. Multi-step orchestration or agent experience preferred over single-completion-call experience
- Demonstrated ability to learn unfamiliar frameworks quickly and write production-grade code while doing so. We will probe for this in the technical screen
- Strong grasp of API design, auth, async patterns, and the tradeoffs of streaming versus request-response
- Working knowledge of Azure primitives (App Service / AKS / Functions, Key Vault, API Management, Entra ID) and comfort writing IaC (Bicep)
- Experience writing evals for non-deterministic systems: behavioral tests, regression harnesses, human-rated samples
Preferred Qualifications
- Hands-on time with Microsoft Agent Framework, Semantic Kernel, or AutoGen. MAF specifically is recently GA; depth is uncommon and not required
- Experience with .NET Aspire and Azure Functions hosting patterns for agents
- Experience with AG-UI, CopilotKit, or comparable agent/copilot UI frameworks
- Experience with N8N, Make, Zapier, or similar low-code / automation platforms at production scale
- Experience with Foundry Observability and Foundry Evals, including the Azure DevOps Foundry-evals extension for CI/CD
- Prior experience on a platform or developer experience team. You know what reusable looks like
- Exposure to enterprise identity (Entra ID / AAD), data classification, and DLP patterns
- Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) interoperability patterns
Education
Bachelor's degree in Computer Science or related field, or equivalent professional experience.
Physical Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, stand, walk, bend, use hands, operate a computer, and have specific vision abilities to include close and distance vision, and the ability to adjust focus while working with computer and business equipment.
Work Conditions
Light & Wonder and its affiliates (collectively, L&W) are engaged in highly regulated gaming businesses. As a result, certain L&W employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure L&W complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, L&W requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with L&W (to the extent permitted by law), you shall be asked to consent to L&W conducting a due diligence/background investigation on you.
This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.
Light & Wonder is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law.
See all 375+ OPT Principal Full Stack Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Principal Full Stack Engineer Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Principal Full Stack Engineer
Lead with architecture ownership, not task completion
Principal-level roles require demonstrated ownership of system design decisions. Highlight specific architectural choices you made, their trade-offs, and measurable outcomes. Employers sponsoring at this level need evidence you can lead technical direction, not just contribute to it.
Confirm your degree qualifies for the 24-month STEM extension
Computer Science, Software Engineering, and related degrees listed on the STEM OPT designated degree list qualify for an additional 24 months. Confirm your specific CIP code with your DSO before applying, since eligibility determines how long a sponsoring employer can realistically plan around you.
Target companies with consistent H-1B filing histories
Employers who regularly sponsor H-1B petitions for senior engineers are far more likely to sponsor OPT students at the principal level. Look for companies with multi-year sponsorship track records rather than those filing for the first time under pressure from a hiring need.
Frame your full-stack depth across the entire system lifecycle
Principal engineers are evaluated on breadth and depth across frontend, backend, infrastructure, and observability layers. Articulate how you've owned systems end-to-end, including on-call responsibilities and performance at scale, to differentiate yourself from senior engineers targeting the same roles.
Apply before your OPT expiration gives employers pause
Start your principal-level job search at least four months before your OPT end date. Employers sponsoring at this level still need time to prepare LCA filings and petitions. Arriving late in your authorization window raises logistical concerns that can quietly remove you from consideration.
Use Migrate Mate to filter for OPT-friendly principal engineering roles
Not all job listings indicate sponsorship willingness upfront. Migrate Mate surfaces Principal Full Stack Engineer roles from employers with active sponsorship histories, so you spend time on applications with a realistic path to authorization rather than pursuing roles that will stall at the visa conversation.
Principal Full Stack Engineer OPT: Frequently Asked Questions
Do employers actually sponsor OPT for Principal Full Stack Engineer roles?
Yes, and more consistently than mid-level roles. Principal engineers are harder to replace, which makes the sponsorship investment easier to justify internally. Employers who have already built H-1B sponsorship infrastructure, typically companies with 200 or more employees in engineering, are the most reliable candidates. Migrate Mate lists roles specifically from companies with documented sponsorship histories.
Does a Principal Full Stack Engineer role qualify for the 24-month STEM OPT extension?
It depends on your degree, not the job title. If your bachelor's, master's, or doctoral degree falls under a STEM-designated CIP code, such as Computer Science, Computer Engineering, or Information Systems, you qualify for the extension regardless of your specific job title. Your DSO confirms eligibility and files the I-983 training plan with your employer. The role itself does not need to be classified separately.
What makes a Principal Full Stack Engineer different from a Senior Engineer in the eyes of a visa sponsor?
At the principal level, employers expect you to drive technical strategy across teams, make architecture decisions with cross-functional impact, and mentor other senior engineers. For sponsorship purposes, this distinction matters because USCIS evaluates whether a role constitutes a specialty occupation. A clearly defined principal-level scope, with formal responsibilities and reporting relationships, strengthens the petition considerably compared to a vaguely defined senior role.
Can I switch employers during OPT if I'm working as a Principal Full Stack Engineer?
Yes, but each new employer must be reported to your DSO within 10 days, and the new role must be directly related to your degree field. On standard OPT, you also cannot exceed 90 days of unemployment during your authorization period. On STEM OPT, the limit is 150 days total across the full 36-month window. Moving between employers at the principal level is common, but timeline management matters.
How soon before my OPT ends should I expect an employer to begin H-1B sponsorship?
H-1B cap-subject petitions can only be filed for an October 1 start date, with registration opening in March. If your OPT ends outside that window, your employer may need to bridge the gap using a cap-exempt filing, a change of status strategy, or a different visa category. Raise the timeline question explicitly in the offer stage so both sides can plan. Starting the conversation early is the most important variable.