TN Visa Senior Software Development Engineer Jobs
Senior Software Development Engineer roles qualify for TN visa sponsorship under the USMCA treaty's Engineers category, provided your job offer specifies engineering duties and your degree aligns with the role. Canadian citizens can apply at the port of entry with no cap or lottery. Mexican citizens follow a consular process with a limited annual allocation.
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LMI is seeking a Software Developer, Applications/AI Automation Engineer to build automation, AI-enabled applications, prototypes, integrations, APIs, and production-ready software components for Department of Veterans Affairs (VA) modernization initiatives. The role spans no-code, low-code, and full-code delivery and favors approved reusable patterns before custom development. This position follows a hybrid work model, with an expectation of approximately 25% onsite presence at LMI’s Tysons headquarters or Washington, DC.
This is a builder role for an engineer who can move from rough problem statements to working technical increments quickly without sacrificing maintainability. The engineer should be comfortable deciding when configuration or low-code is sufficient, when custom code is justified, and how to evolve an early prototype into a supportable enterprise solution.
The successful candidate will bring modern software-engineering discipline to automation and AI-enabled work. That includes secure coding, testability, version control, API design, logging, documentation, code review, and careful handling of prompts, model integrations, data flows, and other components that can introduce new failure modes.
The engineer should take ownership of the full technical lifecycle, not just initial build tasks. Strong candidates will be curious about how a solution behaves with real data and users, responsive to defects and feedback, and disciplined about leaving behind code, configuration, documentation, and tests that another engineer can understand.
The ideal candidate is a pragmatic builder who can move quickly from validated workflow needs to testable solutions, troubleshoot across system boundaries, and package reusable code and configuration for future use.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities:
- Build workflow automations, lightweight applications, prototypes, integrations, and production-quality components.
- Select the simplest approved implementation approach across no-code, low-code, and full-code options.
- Develop and troubleshoot APIs, scripts, services, prompts, agents, automation logic, and application components.
- Support technical feasibility testing, prototype evaluation, pilot readiness, implementation, and handoff.
- Apply secure coding, version control, testing, code review, documentation, and configuration-management practices.
- Partner with HCD/UX, data, architecture, security, platform, QA, and business stakeholders to fit real workflows.
- Package reusable code, prompts, configurations, integration patterns, and technical guidance.
- Resolve issues that cross application, data, integration, automation, or platform boundaries.
- Translate validated user and workflow needs into technical designs, implementation tasks, acceptance criteria, and working software across low-code, automation, API, and full-code approaches.
- Implement defensive error handling, logging, configuration management, secrets handling, automated tests, and observability appropriate to the maturity and risk of each solution.
- Evaluate and integrate AI/LLM capabilities where justified, including prompt orchestration, retrieval, structured outputs, tool/API calls, evaluation logic, and guardrails within approved environments.
- Participate actively in peer review, technical troubleshooting, refactoring, and knowledge transfer so solutions can be maintained by the broader engineering team rather than a single developer.
- Use technical spikes and feasibility tests to reduce uncertainty around APIs, data access, model behavior, platform limits, integration constraints, performance, and security before committing to a larger build.
- Profile and improve reliability, latency, cost, maintainability, and user-facing behavior as solutions mature, using evidence from testing and operational feedback rather than relying on prototype assumptions.
QUALIFICATIONS
- Bachelor's degree in computer science, software engineering, information systems, engineering, or a related field; equivalent experience may be considered.
- 7+ years in application development, automation engineering, systems integration, prototyping, or related software delivery.
- Strong coding in Python, JavaScript/TypeScript, C#, Java, or comparable languages plus hands-on API and integration experience.
- Experience choosing among no-code, low-code, and full-code approaches based on complexity, security, maintainability, and enterprise constraints.
- Recommended certification: cloud developer, Microsoft Power Platform Developer, DevOps, or comparable software-engineering credential.
- Ability to satisfy VA personnel vetting and applicable security, privacy, records, and data-handling requirements.
- Demonstrated experience delivering production-quality software or automation through a modern SDLC, including code review, branching, testing, release discipline, documentation, and defect resolution.
- Strong understanding of API design, authentication/authorization, data interchange, integration patterns, secure coding, and troubleshooting across application and service boundaries.
- Ability to evaluate tradeoffs among custom development, configuration, scripting, low-code, and managed services based on complexity, security, supportability, performance, and lifecycle cost.
- Strong debugging ability across application code, APIs, data transformations, authentication, configuration, network/service dependencies, and third-party or managed services.
- Experience estimating engineering work, decomposing requirements into implementable increments, and communicating technical risk or tradeoffs clearly to non-engineering stakeholders.
DESIRED QUALIFICATIONS:
- 9+ years delivering enterprise applications, automation, integrations, or AI-enabled solutions in federal or regulated environments.
- Experience with generative AI/LLMs, agentic workflows, Azure AI services, Power Platform, Azure Functions, Logic Apps, or comparable tooling.
- Experience with CI/CD, containers, infrastructure integration, observability, and production support.
- Additional cloud AI, security, DevSecOps, or advanced developer certification is preferred.
- Hands-on experience evaluating or implementing generative-AI application patterns, retrieval-augmented generation, agent/tool workflows, prompt evaluation, or model-service integration is preferred.
- Microsoft Azure AI Engineer, Power Platform Developer, cloud developer, software engineering, or DevSecOps certifications are valuable when supported by strong practical engineering experience.
- Experience with Azure Functions, Logic Apps, Microsoft 365/Power Platform integration, containerized services, or comparable enterprise automation technologies is helpful.
- A portfolio of reusable libraries, internal tools, open-source contributions, technical prototypes, or documented engineering patterns can strengthen a candidate's qualifications.
TARGET SALARY RANGE: $140,000-$170,000
Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Job Locations: US-VA-Tysons, US-DC-Washington, DC
Overview:
LMI is seeking a Software Developer, Applications/AI Automation Engineer to build automation, AI-enabled applications, prototypes, integrations, APIs, and production-ready software components for Department of Veterans Affairs (VA) modernization initiatives. The role spans no-code, low-code, and full-code delivery and favors approved reusable patterns before custom development. This position follows a hybrid work model, with an expectation of approximately 25% onsite presence at LMI’s Tysons headquarters or Washington, DC.
This is a builder role for an engineer who can move from rough problem statements to working technical increments quickly without sacrificing maintainability. The engineer should be comfortable deciding when configuration or low-code is sufficient, when custom code is justified, and how to evolve an early prototype into a supportable enterprise solution.
The successful candidate will bring modern software-engineering discipline to automation and AI-enabled work. That includes secure coding, testability, version control, API design, logging, documentation, code review, and careful handling of prompts, model integrations, data flows, and other components that can introduce new failure modes.
The engineer should take ownership of the full technical lifecycle, not just initial build tasks. Strong candidates will be curious about how a solution behaves with real data and users, responsive to defects and feedback, and disciplined about leaving behind code, configuration, documentation, and tests that another engineer can understand.
The ideal candidate is a pragmatic builder who can move quickly from validated workflow needs to testable solutions, troubleshoot across system boundaries, and package reusable code and configuration for future use.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities:
- Build workflow automations, lightweight applications, prototypes, integrations, and production-quality components.
- Select the simplest approved implementation approach across no-code, low-code, and full-code options.
- Develop and troubleshoot APIs, scripts, services, prompts, agents, automation logic, and application components.
- Support technical feasibility testing, prototype evaluation, pilot readiness, implementation, and handoff.
- Apply secure coding, version control, testing, code review, documentation, and configuration-management practices.
- Partner with HCD/UX, data, architecture, security, platform, QA, and business stakeholders to fit real workflows.
- Package reusable code, prompts, configurations, integration patterns, and technical guidance.
- Resolve issues that cross application, data, integration, automation, or platform boundaries.
- Translate validated user and workflow needs into technical designs, implementation tasks, acceptance criteria, and working software across low-code, automation, API, and full-code approaches.
- Implement defensive error handling, logging, configuration management, secrets handling, automated tests, and observability appropriate to the maturity and risk of each solution.
- Evaluate and integrate AI/LLM capabilities where justified, including prompt orchestration, retrieval, structured outputs, tool/API calls, evaluation logic, and guardrails within approved environments.
- Participate actively in peer review, technical troubleshooting, refactoring, and knowledge transfer so solutions can be maintained by the broader engineering team rather than a single developer.
- Use technical spikes and feasibility tests to reduce uncertainty around APIs, data access, model behavior, platform limits, integration constraints, performance, and security before committing to a larger build.
- Profile and improve reliability, latency, cost, maintainability, and user-facing behavior as solutions mature, using evidence from testing and operational feedback rather than relying on prototype assumptions.
QUALIFICATIONS
- Bachelor's degree in computer science, software engineering, information systems, engineering, or a related field; equivalent experience may be considered.
- 7+ years in application development, automation engineering, systems integration, prototyping, or related software delivery.
- Strong coding in Python, JavaScript/TypeScript, C#, Java, or comparable languages plus hands-on API and integration experience.
- Experience choosing among no-code, low-code, and full-code approaches based on complexity, security, maintainability, and enterprise constraints.
- Recommended certification: cloud developer, Microsoft Power Platform Developer, DevOps, or comparable software-engineering credential.
- Ability to satisfy VA personnel vetting and applicable security, privacy, records, and data-handling requirements.
- Demonstrated experience delivering production-quality software or automation through a modern SDLC, including code review, branching, testing, release discipline, documentation, and defect resolution.
- Strong understanding of API design, authentication/authorization, data interchange, integration patterns, secure coding, and troubleshooting across application and service boundaries.
- Ability to evaluate tradeoffs among custom development, configuration, scripting, low-code, and managed services based on complexity, security, supportability, performance, and lifecycle cost.
- Strong debugging ability across application code, APIs, data transformations, authentication, configuration, network/service dependencies, and third-party or managed services.
- Experience estimating engineering work, decomposing requirements into implementable increments, and communicating technical risk or tradeoffs clearly to non-engineering stakeholders.
DESIRED QUALIFICATIONS:
- 9+ years delivering enterprise applications, automation, integrations, or AI-enabled solutions in federal or regulated environments.
- Experience with generative AI/LLMs, agentic workflows, Azure AI services, Power Platform, Azure Functions, Logic Apps, or comparable tooling.
- Experience with CI/CD, containers, infrastructure integration, observability, and production support.
- Additional cloud AI, security, DevSecOps, or advanced developer certification is preferred.
- Hands-on experience evaluating or implementing generative-AI application patterns, retrieval-augmented generation, agent/tool workflows, prompt evaluation, or model-service integration is preferred.
- Microsoft Azure AI Engineer, Power Platform Developer, cloud developer, software engineering, or DevSecOps certifications are valuable when supported by strong practical engineering experience.
- Experience with Azure Functions, Logic Apps, Microsoft 365/Power Platform integration, containerized services, or comparable enterprise automation technologies is helpful.
- A portfolio of reusable libraries, internal tools, open-source contributions, technical prototypes, or documented engineering patterns can strengthen a candidate's qualifications.
TARGET SALARY RANGE: $140,000-$170,000
Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Job Locations: US-VA-Tysons, US-DC-Washington, DC
See all 37+ TN Visa Senior Software Development Engineer Jobs
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Get Access To All JobsTips for Finding TN Visa Sponsorship as a Senior Software Development Engineer
Align your degree to the engineering category
TN visa classification for this role depends on your degree being in computer science, electrical engineering, or a directly related engineering field. A general IT or business degree, even with years of software experience, can get your application flagged at the border.
Confirm your employer's support letter specificity
The support letter must describe your role in engineering terms, not just 'software developer.' Ask your hiring contact to reference systems design, technical architecture, or engineering deliverables. Vague letters are a leading cause of secondary inspection delays.
Target companies with recent visa sponsorship experience
Filter your job search toward employers experienced with visa sponsorship. Companies with established immigration workflows move faster and rarely ask you to wait for legal review on basic TN questions. Migrate Mate surfaces these employers by identifying those with recent visa filings, indicating familiarity with work visa processes.
Prepare for port-of-entry inspection as a Canadian
Canadian citizens apply for TN status directly at a U.S. land border or airport with your support letter, degree transcripts, and passport. Bring hard copies of everything. CBP officers can and do ask detailed questions about your engineering duties on the spot.
Start the consular appointment process early as a Mexican citizen
Mexican nationals must schedule a visa interview at a U.S. consulate, and appointment availability varies by location. The annual TN allocation for Mexico is capped, so applying early in the fiscal year reduces the risk of delays tied to allocation timing.
Negotiate who handles the TN filing costs
Unlike H-1B visa, TN applications carry no USCIS filing fee for Canadian citizens applying at the border, and consular fees for Mexican nationals are modest. Use this to negotiate employer coverage of any legal fees, since the employer's cost exposure here is low.
Senior Software Development Engineer TN Visa: Frequently Asked Questions
Does a Senior Software Development Engineer role qualify for TN visa status?
Yes, provided the role is classified under the Engineers category in the USMCA TN occupation list and your job offer describes engineering duties rather than general software support. Your degree must be in computer science, software engineering, electrical engineering, or a closely related engineering discipline. Roles framed purely as 'IT support' or 'developer' without engineering language can face scrutiny at the border or consulate.
How does TN visa sponsorship for this role compare to H-1B?
TN has no annual lottery, no cap for Canadian citizens, and no USCIS petition for Canadians applying at the port of entry. H-1B requires a lottery registration, a cap-subject petition, and months of processing time. For Senior Software Development Engineer roles, TN is faster and more predictable for eligible Canadians and Mexicans, as long as the job and degree meet the USMCA Engineers classification criteria.
What documents does my employer need to provide for my TN application?
Your employer must provide a signed support letter on company letterhead that specifies your job title, engineering duties, the professional category being claimed under USMCA, your intended start date, and confirmation that you will be employed in the United States. The letter should reference your degree field and explain how your qualifications connect to the engineering work. CBP officers treat a vague or generic letter as a red flag.
Where can I find Senior Software Development Engineer jobs that offer TN visa sponsorship?
Migrate Mate is built specifically to connect Canadian and Mexican professionals with employers who sponsor TN visas. Rather than filtering through general job boards that don't surface immigration support details, Migrate Mate lets you search by visa type and role so you can focus on employers already set up to handle TN filings for engineering positions.
Can I switch employers while on TN status as a Senior Software Development Engineer?
Yes, but you cannot simply notify USCIS after the fact. Each new employer requires a new TN authorization. Canadian citizens can apply at a port of entry with a new support letter from the incoming employer. Mexican nationals must obtain a new TN visa at a U.S. consulate before starting with the new company. Working for a new employer before the new TN is approved is a status violation.