DevOps Visa Sponsorship Jobs in North Dakota
North Dakota's devops job market centers on Fargo and Bismarck, where energy sector firms like Meridian Energy Group, financial institutions, and growing technology companies have expanded infrastructure teams. Employers in this state do sponsor visas for qualified devops professionals, particularly through the H-1B category, though opportunities are more concentrated than in coastal tech hubs.
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Get Access To All JobsINTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is a senior individual-contributor role, focused on identifying evaluating and documenting high-value use cases, designing and prototyping AI-powered solutions, and evolving them into secure, resilient, enterprise-ready products and platform components.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
AI Solution Design & Prototyping
- Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.
- Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.
- Develop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.
Production Engineering & Enterprise Readiness
- Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.
- Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).
- Instrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.
Model Enablement & Evaluation
- Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).
- Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.
- Collaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.
Reusable Components & Engineering Excellence
- Contribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.
- Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.
- Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.
BASIC QUALIFICATIONS
- 7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services.
- 3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls).
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.
- Hands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.
- Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.
- Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.
- Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience).
PAY RANGE
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 04/21/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
INTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is a senior individual-contributor role, focused on identifying evaluating and documenting high-value use cases, designing and prototyping AI-powered solutions, and evolving them into secure, resilient, enterprise-ready products and platform components.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
AI Solution Design & Prototyping
- Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.
- Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.
- Develop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.
Production Engineering & Enterprise Readiness
- Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.
- Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).
- Instrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.
Model Enablement & Evaluation
- Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).
- Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.
- Collaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.
Reusable Components & Engineering Excellence
- Contribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.
- Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.
- Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.
BASIC QUALIFICATIONS
- 7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services.
- 3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls).
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.
- Hands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.
- Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.
- Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.
- Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience).
PAY RANGE
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 04/21/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
DevOps Job Roles in North Dakota
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Search DevOps Jobs in North DakotaDevOps Jobs in North Dakota: Frequently Asked Questions
Which companies sponsor visas for DevOps engineers in North Dakota?
Visa sponsorship for DevOps roles in North Dakota comes primarily from larger employers in energy, agriculture technology, financial services, and healthcare IT. Companies like Microsoft (which has a significant Fargo presence), Basin Electric Power Cooperative, and regional banks with substantial infrastructure teams have filed H-1B petitions for technology roles. Smaller startups in the state rarely sponsor visas due to legal and administrative costs.
Which visa types are most common for DevOps roles in North Dakota?
The H-1B is the most common visa category for DevOps engineers in North Dakota, as the role consistently qualifies as a specialty occupation requiring a bachelor's degree in computer science, information systems, or a related field. Candidates already holding TN status (Canadian or Mexican nationals) or L-1 intracompany transferee visas may also find DevOps roles viable, depending on employer structure and eligibility.
Which cities in North Dakota have the most DevOps visa sponsorship jobs?
Fargo is by far the most active city for DevOps hiring in North Dakota, driven by a concentration of technology firms, financial services companies, and Microsoft's regional operations. Bismarck, the state capital, offers opportunities in government IT contracting and energy sector infrastructure. Grand Forks has a smaller but growing technology presence connected to the University of North Dakota's research and aerospace programs.
How to find devops visa sponsorship jobs in North Dakota?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it more targeted than general job searches for DevOps roles in North Dakota. You can browse open positions in Fargo, Bismarck, and Grand Forks and filter by role type to surface employers actively hiring international candidates. This saves significant time compared to manually reviewing company career pages and cross-referencing H-1B disclosure data.
Are there any state-specific considerations for DevOps professionals pursuing sponsorship in North Dakota?
North Dakota's technology sector is smaller than coastal states, so the pool of sponsoring employers is more limited. However, competition for sponsored DevOps roles is also lower. The state's energy and agricultural technology industries are expanding infrastructure needs, which creates genuine demand for cloud, CI/CD, and automation expertise. Employers here often require broader generalist DevOps skills rather than deep specialization in a single platform or tool.
What is the prevailing wage for sponsored devops jobs in North Dakota?
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.
See which devops employers are hiring and sponsoring visas in North Dakota right now.
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