Devops Lead Visa Sponsorship Jobs in Texas
Texas is one of the strongest markets for DevOps Lead visa sponsorship, driven by major tech hubs in Austin, Dallas, and Houston. Employers like Dell Technologies, AT&T, Amazon, and a growing cluster of cloud-native startups regularly sponsor international workers for senior DevOps roles requiring infrastructure, CI/CD, and platform engineering expertise.
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Get Access To All JobsINTRODUCTION
We are seeking an AI DevOps Engineer to design, develop, deploy, and support enterprise AI agents and Generative AI solutions for clients, primarily in the consumer electronics and retail industries. This role combines hands-on AI application development with DevOps and production support for AI solutions already deployed.
KEY RESPONSIBILITIES
- Design and develop custom AI agents, GenAI applications, and AI-powered automation based on client business requirements.
- Develop, test, deploy, monitor, and continuously enhance AI solutions across development and production environments.
- Work with client stakeholders to translate business requirements into practical AI solutions.
- Implement and maintain RAG pipelines, prompt engineering, agentic workflows, tool/function calling, and LLM integrations.
- Provide ongoing DevOps and production support, including monitoring, troubleshooting, performance optimization, upgrades, and incident resolution.
- Build and maintain CI/CD pipelines and automated deployment processes.
- Evaluate emerging AI models, frameworks, and technologies and recommend appropriate solutions for client projects.
CORE SKILLSETS
- Strong hands-on experience developing applications using Generative AI and LLMs
- Experience with AI agents / agentic AI, including multi-step workflows, tool/function calling, orchestration, and autonomous task execution.
- Strong knowledge of RAG architecture, including document processing, chunking, embeddings, vector search, retrieval strategies, and context management.
- Strong prompt engineering skills, including prompt optimization, structured outputs, few-shot prompting, and hallucination mitigation.
- Experience with LLM platforms such as OpenAI / Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or equivalent.
- Understanding of LLM evaluation, AI application testing, model selection, token/cost optimization, latency, and scalability.
- Experience integrating LLMs with enterprise applications, APIs, databases, and business processes.
- Knowledge of AI security considerations including prompt injection, data privacy, PII protection, access control, and responsible AI.
- Strong programming experience in Python; Java, JavaScript/TypeScript, or C# is a plus.
- Experience developing REST APIs, backend services, microservices, and enterprise integrations.
- Experience with Git, CI/CD, Docker, and cloud environments such as Azure, AWS, or GCP.
- Experience troubleshooting and supporting applications in production.
QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
- 9+ years of software development, AI, cloud, or DevOps experience, with hands-on GenAI/LLM development experience strongly preferred.
- Experience working in an IT consulting or client-facing environment is highly desirable.
- Strong analytical, troubleshooting, communication, documentation, and problem-solving skills.
- Ability to manage multiple client projects and explain complex AI concepts to both technical and non-technical stakeholders.
- Bilingual preferred
PAY RANGE: $86,000 to $127,000 per year
BENEFITS: Medical, dental, and vision insurance; 401(k) retirement plan; paid sick leave; life, accidental death & dismemberment (AD&D), and long-term disability (LTD) insurance; and optional voluntary life/AD&D coverage. Benefits are subject to eligibility and applicable plan terms.
We’re committed to creating a workplace where employees feel valued, supported, and empowered to grow. Our team benefits from competitive compensation, comprehensive health and wellness offerings, and opportunities for professional development. We are proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.
We comply with all applicable federal, state, and local employment laws, including those related to fair hiring practices, pay transparency, workplace safety, and reasonable accommodations. We are dedicated to maintaining an inclusive environment where everyone has the opportunity to succeed and contribute meaningfully.
INTRODUCTION
We are seeking an AI DevOps Engineer to design, develop, deploy, and support enterprise AI agents and Generative AI solutions for clients, primarily in the consumer electronics and retail industries. This role combines hands-on AI application development with DevOps and production support for AI solutions already deployed.
KEY RESPONSIBILITIES
- Design and develop custom AI agents, GenAI applications, and AI-powered automation based on client business requirements.
- Develop, test, deploy, monitor, and continuously enhance AI solutions across development and production environments.
- Work with client stakeholders to translate business requirements into practical AI solutions.
- Implement and maintain RAG pipelines, prompt engineering, agentic workflows, tool/function calling, and LLM integrations.
- Provide ongoing DevOps and production support, including monitoring, troubleshooting, performance optimization, upgrades, and incident resolution.
- Build and maintain CI/CD pipelines and automated deployment processes.
- Evaluate emerging AI models, frameworks, and technologies and recommend appropriate solutions for client projects.
CORE SKILLSETS
- Strong hands-on experience developing applications using Generative AI and LLMs
- Experience with AI agents / agentic AI, including multi-step workflows, tool/function calling, orchestration, and autonomous task execution.
- Strong knowledge of RAG architecture, including document processing, chunking, embeddings, vector search, retrieval strategies, and context management.
- Strong prompt engineering skills, including prompt optimization, structured outputs, few-shot prompting, and hallucination mitigation.
- Experience with LLM platforms such as OpenAI / Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or equivalent.
- Understanding of LLM evaluation, AI application testing, model selection, token/cost optimization, latency, and scalability.
- Experience integrating LLMs with enterprise applications, APIs, databases, and business processes.
- Knowledge of AI security considerations including prompt injection, data privacy, PII protection, access control, and responsible AI.
- Strong programming experience in Python; Java, JavaScript/TypeScript, or C# is a plus.
- Experience developing REST APIs, backend services, microservices, and enterprise integrations.
- Experience with Git, CI/CD, Docker, and cloud environments such as Azure, AWS, or GCP.
- Experience troubleshooting and supporting applications in production.
QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
- 9+ years of software development, AI, cloud, or DevOps experience, with hands-on GenAI/LLM development experience strongly preferred.
- Experience working in an IT consulting or client-facing environment is highly desirable.
- Strong analytical, troubleshooting, communication, documentation, and problem-solving skills.
- Ability to manage multiple client projects and explain complex AI concepts to both technical and non-technical stakeholders.
- Bilingual preferred
PAY RANGE: $86,000 to $127,000 per year
BENEFITS: Medical, dental, and vision insurance; 401(k) retirement plan; paid sick leave; life, accidental death & dismemberment (AD&D), and long-term disability (LTD) insurance; and optional voluntary life/AD&D coverage. Benefits are subject to eligibility and applicable plan terms.
We’re committed to creating a workplace where employees feel valued, supported, and empowered to grow. Our team benefits from competitive compensation, comprehensive health and wellness offerings, and opportunities for professional development. We are proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.
We comply with all applicable federal, state, and local employment laws, including those related to fair hiring practices, pay transparency, workplace safety, and reasonable accommodations. We are dedicated to maintaining an inclusive environment where everyone has the opportunity to succeed and contribute meaningfully.
Devops Lead Job Roles in Texas
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Search Devops Lead Jobs in TexasDevops Lead Jobs in Texas: Frequently Asked Questions
Which companies in Texas sponsor visas for DevOps leads?
Large technology employers with established Texas footprints are the most consistent sponsors for DevOps lead roles. These include Dell Technologies in Round Rock, AT&T and Texas Instruments in Dallas, IBM and NRG Energy in Houston, and Amazon and Apple in Austin. Defense contractors like Lockheed Martin and Raytheon, both active in the Dallas-Fort Worth area, also sponsor DevOps talent for cleared and uncleared positions.
What visa types are most commonly used for DevOps lead roles in Texas?
The H-1B visa is the most common visa category for DevOps leads in Texas, as the role typically requires a bachelor's degree or higher in computer science, information systems, or a related field, meeting the specialty occupation standard. Candidates already holding L-1A or L-1B status through multinational employers are another significant segment. O-1A visas are an option for DevOps professionals with exceptional records, though the evidentiary bar is high.
Which Texas cities have the most DevOps lead visa sponsorship jobs?
Austin consistently leads for DevOps lead sponsorship, anchored by its dense concentration of tech companies and scale-ups. Dallas-Fort Worth is close behind, driven by enterprise technology, financial services, and telecom employers. Houston adds sponsorship volume from energy-sector companies modernizing their infrastructure. San Antonio has a smaller but active market tied to cybersecurity and government contracting, particularly around Joint Base San Antonio.
How to find devops lead visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international job seekers and filters DevOps lead roles in Texas by visa sponsorship availability, so you're not sorting through postings that don't apply to your situation. Beyond browsing Migrate Mate, targeting Texas employers with established H-1B filing histories in cloud infrastructure, platform engineering, and site reliability is a practical filter. Larger companies in Austin and Dallas tend to have dedicated immigration support teams, which simplifies the sponsorship process.
Are there any Texas-specific considerations for DevOps leads seeking visa sponsorship?
Texas has no state income tax, which affects prevailing wage comparisons that the Department of Labor uses when employers file Labor Condition Applications for H-1B petitions. Austin's rapid growth has pushed local tech wages upward, meaning LCA wage floors in Travis County are higher than in smaller Texas metros. DevOps leads targeting Austin or Dallas should also note that several large employers there participate in H-1B cap-exempt hiring through affiliated research institutions.
What is the prevailing wage for sponsored devops lead 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.