Cloud Solutions Engineer Visa Sponsorship Jobs in Texas
Texas is one of the top states for cloud solutions engineer visa sponsorship, with major hiring concentrated in Austin, Dallas, and Houston. Employers like Dell Technologies, AT&T, Amazon Web Services, and a dense network of enterprise software and energy-tech firms regularly sponsor cloud solutions engineers through H-1B visa and other work visa programs.
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Get Access To All JobsINTRODUCTION
We are Toshiba. We have an unwavering drive to make and do things that lead to a better world.
Founded in 1965, Toshiba America, Inc. (TAI) is a subsidiary of the globally renowned Toshiba Corporation based in Tokyo. As the holding company for three Toshiba operating companies, TAI offers a wide array of products and solutions across the commercial, energy, and industrial sectors. Together with our subsidiaries, we form the Toshiba Americas Group, which is committed to technological innovation and excellence.
Our Commitment to the Future
At Toshiba America, we are guided by the principle “Committed to People, Committed to the Future.” This core philosophy shapes our strategies and actions as we strive to build a better, more sustainable world. In an era of climate change, resource depletion, and social inequality, we aim to ensure safety, security, and environmental stability for all.
JOB SUMMARY
We are looking for a versatile, hands-on Cloud & AI Solutions Engineer to help us design and build the next generation of digital tools for our industrial and enterprise operations. This is a role for a "practical visionary” someone who stays curious about emerging tech (like GenAI and automation) but has the technical grit to architect and implement those solutions in a real-world environment.
You will be the bridge between complex business needs and scalable technology, acting as both a strategic advisor and a hands-on expert to ensure our cloud and AI initiatives deliver actual value.
PRIMARY RESPONSIBILITIES
- Solution Architecture: Translate business challenges into technical designs. You’ll create blueprints for how we use cloud services and AI to improve workflows and data insights.
- Hands-on Implementation: You won’t just hand over a slide deck. You will build prototypes, configure cloud environments, and develop the "first mile" of our AI and automation solutions.
- AI Adoption & Learning: Stay at the forefront of AI/ML and Generative AI. Identify where these tools can realistically improve our business processes and lead the effort to adopt them.
- Cloud Operations: Help us optimize our use of Azure, AWS, or GCP. This includes modernizing legacy setups, improving security, and automating repetitive IT tasks.
- Strategic Change: Act as a technical mentor and advocate for modern technology. You’ll help teams move away from "the way we’ve always done it" and toward more efficient, cloud-native ways of working.
CORE COMPETENCIES
- The "Architect" Mindset: Ability to see the big picture and understand how different systems (Identity, Data, Security, and Apps) fit together.
- Cloud Proficiency: Solid experience with at least one major cloud provider (Azure, AWS, or GCP) and a strong understanding of M365 ecosystems.
- AI Curiosity: You don’t need to be a data scientist, but you should understand how to leverage LLMs, APIs, and automation tools to solve problems.
- Practical Builder: Proficiency in modern "building" tools—whether that’s scripting (Python/PowerShell), low-code automation, or Infrastructure as Code (Terraform).
- Adaptability: A strong appetite for learning. You are comfortable moving between a factory-floor data problem and a corporate-office automation project.
QUALIFICATIONS
- 8+ years of experience in technical roles such as Systems Engineering, Cloud Architecture, or Solutions Engineering.
- Proven track record of taking a project from a "rough idea" to a "working solution."
- Excellent communication skills—the ability to explain a complex cloud migration or AI workflow to a non-technical stakeholder.
- Experience in industrial, manufacturing, or energy sectors is a plus, but a "can-do" attitude and technical aptitude are more important.
INTRODUCTION
We are Toshiba. We have an unwavering drive to make and do things that lead to a better world.
Founded in 1965, Toshiba America, Inc. (TAI) is a subsidiary of the globally renowned Toshiba Corporation based in Tokyo. As the holding company for three Toshiba operating companies, TAI offers a wide array of products and solutions across the commercial, energy, and industrial sectors. Together with our subsidiaries, we form the Toshiba Americas Group, which is committed to technological innovation and excellence.
Our Commitment to the Future
At Toshiba America, we are guided by the principle “Committed to People, Committed to the Future.” This core philosophy shapes our strategies and actions as we strive to build a better, more sustainable world. In an era of climate change, resource depletion, and social inequality, we aim to ensure safety, security, and environmental stability for all.
JOB SUMMARY
We are looking for a versatile, hands-on Cloud & AI Solutions Engineer to help us design and build the next generation of digital tools for our industrial and enterprise operations. This is a role for a "practical visionary” someone who stays curious about emerging tech (like GenAI and automation) but has the technical grit to architect and implement those solutions in a real-world environment.
You will be the bridge between complex business needs and scalable technology, acting as both a strategic advisor and a hands-on expert to ensure our cloud and AI initiatives deliver actual value.
PRIMARY RESPONSIBILITIES
- Solution Architecture: Translate business challenges into technical designs. You’ll create blueprints for how we use cloud services and AI to improve workflows and data insights.
- Hands-on Implementation: You won’t just hand over a slide deck. You will build prototypes, configure cloud environments, and develop the "first mile" of our AI and automation solutions.
- AI Adoption & Learning: Stay at the forefront of AI/ML and Generative AI. Identify where these tools can realistically improve our business processes and lead the effort to adopt them.
- Cloud Operations: Help us optimize our use of Azure, AWS, or GCP. This includes modernizing legacy setups, improving security, and automating repetitive IT tasks.
- Strategic Change: Act as a technical mentor and advocate for modern technology. You’ll help teams move away from "the way we’ve always done it" and toward more efficient, cloud-native ways of working.
CORE COMPETENCIES
- The "Architect" Mindset: Ability to see the big picture and understand how different systems (Identity, Data, Security, and Apps) fit together.
- Cloud Proficiency: Solid experience with at least one major cloud provider (Azure, AWS, or GCP) and a strong understanding of M365 ecosystems.
- AI Curiosity: You don’t need to be a data scientist, but you should understand how to leverage LLMs, APIs, and automation tools to solve problems.
- Practical Builder: Proficiency in modern "building" tools—whether that’s scripting (Python/PowerShell), low-code automation, or Infrastructure as Code (Terraform).
- Adaptability: A strong appetite for learning. You are comfortable moving between a factory-floor data problem and a corporate-office automation project.
QUALIFICATIONS
- 8+ years of experience in technical roles such as Systems Engineering, Cloud Architecture, or Solutions Engineering.
- Proven track record of taking a project from a "rough idea" to a "working solution."
- Excellent communication skills—the ability to explain a complex cloud migration or AI workflow to a non-technical stakeholder.
- Experience in industrial, manufacturing, or energy sectors is a plus, but a "can-do" attitude and technical aptitude are more important.
Cloud Solutions Engineer Job Roles in Texas
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Search Cloud Solutions Engineer Jobs in TexasCloud Solutions Engineer Jobs in Texas: Frequently Asked Questions
Which companies in Texas sponsor visas for cloud solutions engineers?
Several large Texas-based employers have consistent H-1B sponsorship histories for cloud solutions engineers, including Dell Technologies, AT&T, Texas Instruments, and Oracle. Hyperscaler offices in the state, such as Amazon Web Services and Microsoft Azure teams in Dallas and Austin, also sponsor regularly. Enterprise consulting firms with major Texas presences, including Accenture and Infosys, appear frequently in Department of Labor disclosure data for this role type.
Which visa types are most common for cloud solutions engineer roles in Texas?
The H-1B is the most common visa category for cloud solutions engineers in Texas, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. TN visas are an option for Canadian and Mexican nationals under USMCA. Employers in Texas also occasionally sponsor L-1B intracompany transfers for engineers moving from international offices.
Which cities in Texas have the most cloud solutions engineer sponsorship jobs?
Austin leads in volume due to its dense technology sector, with a high concentration of cloud-focused employers ranging from early-stage startups to major enterprise firms. Dallas-Fort Worth follows closely, driven by large financial services, telecommunications, and consulting employers. Houston rounds out the top three, with cloud engineering demand anchored in energy technology, healthcare IT, and logistics companies that have invested heavily in cloud infrastructure modernization.
How to find cloud solutions engineer visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, making it straightforward to search cloud solutions engineer roles in Texas without sifting through positions that don't offer sponsorship. You can filter by location to focus on Austin, Dallas, or Houston. Migrate Mate aggregates roles from employers with documented sponsorship histories, which is particularly useful for cloud solutions engineers who need a company experienced with H-1B petitions.
Are there any Texas-specific considerations for cloud solutions engineers seeking visa sponsorship?
Texas has no state income tax, which affects how prevailing wage calculations compare to offers in higher-tax states, though employers must still meet Department of Labor prevailing wage requirements for the specific metro area. Texas universities including UT Austin, Texas A&M, and Rice produce a steady pipeline of engineering graduates, meaning some employers are familiar with OPT-to-H-1B transitions. The state's energy sector creates cloud engineering demand in domains less common elsewhere, such as upstream oil and gas data platforms.
What is the prevailing wage for sponsored cloud solutions engineer jobs in Texas?
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.