Backend Engineer Visa Sponsorship Jobs in New Mexico
Backend engineer visa sponsorship jobs in New Mexico are concentrated around Albuquerque and Santa Fe, where employers in defense contracting, national laboratories, and tech services actively hire. Organizations like Sandia National Laboratories and Intel's Rio Rancho operations have established engineering workforces with international talent pipelines supporting backend infrastructure roles.
See All Backend Engineer JobsOverview
Showing 5 of 7+ Backend Engineer Jobs in New Mexico with Visa Sponsorship jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 7+ Backend Engineer Jobs in New Mexico with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Backend Engineer Jobs in New Mexico with Visa Sponsorship.
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 an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to solution design, implementation, and production support in partnership with business partners and senior technical leaders.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
Solution Development & Delivery
- Implement AI-powered services and application features that integrate enterprise data and systems with LLMs and ML models.
- Contribute to solution design by proposing approaches, identifying dependencies, and documenting tradeoffs and implementation plans.
- Deliver features using strong engineering practices: test automation, code review, CI/CD, and operational readiness.
GenAI Engineering Practices
- Build and tune RAG pipelines (retrieval, ranking, grounding) and implement prompt patterns that improve reliability and user experience.
- Contribute to evaluation suites and regression testing to ensure quality and safety over time.
- Implement guardrails and security controls (input/output validation, policy filtering, and data protection patterns) under guidance from senior engineers.
Reliability, Observability & Support
- Instrument services with metrics, traces, logs, and dashboards; participate in incident response and post-incident improvements.
- Support performance and cost optimization efforts (latency, throughput, caching, and model selection).
- Follow and reinforce platform standards for deployment, versioning, monitoring, and documentation.
Collaboration & Continuous Improvement
- Work closely with product, design, security, and platform teams to refine requirements and deliver customer-focused outcomes.
- Mentor engineers at earlier career stages and share practical learnings with the broader AI/ML community of practice.
- Stay current on GenAI and ML platform trends; propose incremental improvements that raise quality and accelerate delivery.
BASIC QUALIFICATIONS
- 5+ years of software engineering experience delivering production systems, including modern APIs and application development.
- 3+ years of experience applying ML/AI concepts in real systems; GenAI exposure (LLMs, RAG, evaluation) strongly preferred.
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Proficiency in backend engineering (APIs, services) and comfort contributing across the stack when needed.
- Working knowledge of LLM application development (prompting, RAG, tool calling) and evaluation practices.
- Experience with CI/CD, testing, containerization, and basic Kubernetes concepts.
- Strong debugging and operational skills; ability to improve reliability and performance based on telemetry and root cause analysis.
- Effective collaboration and communication skills across technical and non-technical stakeholders.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)
ANTICIPATED WEEKLY HOURS
40
TIME TYPE
Full time
PAY RANGE
The typical pay range for this role is:
$83,430.00 - $222,480.00
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.
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: 04/22/2026
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 an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to solution design, implementation, and production support in partnership with business partners and senior technical leaders.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
Solution Development & Delivery
- Implement AI-powered services and application features that integrate enterprise data and systems with LLMs and ML models.
- Contribute to solution design by proposing approaches, identifying dependencies, and documenting tradeoffs and implementation plans.
- Deliver features using strong engineering practices: test automation, code review, CI/CD, and operational readiness.
GenAI Engineering Practices
- Build and tune RAG pipelines (retrieval, ranking, grounding) and implement prompt patterns that improve reliability and user experience.
- Contribute to evaluation suites and regression testing to ensure quality and safety over time.
- Implement guardrails and security controls (input/output validation, policy filtering, and data protection patterns) under guidance from senior engineers.
Reliability, Observability & Support
- Instrument services with metrics, traces, logs, and dashboards; participate in incident response and post-incident improvements.
- Support performance and cost optimization efforts (latency, throughput, caching, and model selection).
- Follow and reinforce platform standards for deployment, versioning, monitoring, and documentation.
Collaboration & Continuous Improvement
- Work closely with product, design, security, and platform teams to refine requirements and deliver customer-focused outcomes.
- Mentor engineers at earlier career stages and share practical learnings with the broader AI/ML community of practice.
- Stay current on GenAI and ML platform trends; propose incremental improvements that raise quality and accelerate delivery.
BASIC QUALIFICATIONS
- 5+ years of software engineering experience delivering production systems, including modern APIs and application development.
- 3+ years of experience applying ML/AI concepts in real systems; GenAI exposure (LLMs, RAG, evaluation) strongly preferred.
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Proficiency in backend engineering (APIs, services) and comfort contributing across the stack when needed.
- Working knowledge of LLM application development (prompting, RAG, tool calling) and evaluation practices.
- Experience with CI/CD, testing, containerization, and basic Kubernetes concepts.
- Strong debugging and operational skills; ability to improve reliability and performance based on telemetry and root cause analysis.
- Effective collaboration and communication skills across technical and non-technical stakeholders.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)
ANTICIPATED WEEKLY HOURS
40
TIME TYPE
Full time
PAY RANGE
The typical pay range for this role is:
$83,430.00 - $222,480.00
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.
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: 04/22/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Backend Engineer Job Roles in New Mexico
See all 7+ Backend Engineer Jobs in New Mexico
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Backend Engineer Jobs in New MexicoBackend Engineer Jobs in New Mexico: Frequently Asked Questions
Which companies sponsor visas for backend engineers in New Mexico?
Defense contractors and national laboratories are among the most active sponsors in New Mexico. Sandia National Laboratories, Intel (Rio Rancho), and technology services firms supporting federal agencies have sponsored backend engineers in the past. Startups and mid-sized software companies in Albuquerque's growing tech sector also participate in sponsorship, though at lower volumes than large institutional employers.
Which visa types are most common for backend engineer roles in New Mexico?
The H-1B is the most common visa for backend engineers in New Mexico, as software and systems engineering roles typically qualify as specialty occupations requiring a relevant bachelor's degree or higher. The O-1A is an option for engineers with documented exceptional achievements. Some university-affiliated roles may allow J-1 or F-1 OPT employment, particularly through the University of New Mexico or New Mexico State University.
Which cities in New Mexico have the most backend engineer sponsorship jobs?
Albuquerque accounts for the majority of backend engineer sponsorship activity in New Mexico, driven by its concentration of defense contractors, federal laboratories, and technology services firms. Rio Rancho, just northwest of Albuquerque, is notable for Intel's manufacturing and engineering operations. Santa Fe has a smaller but active technology sector, particularly in government IT and research-adjacent software development.
How to find backend engineer visa sponsorship jobs in New Mexico?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify backend engineer roles in New Mexico without sifting through positions that won't support international candidates. You can search by state and role type to surface relevant openings at employers in Albuquerque, Rio Rancho, and Santa Fe. Prioritizing employers with prior H-1B filing history, which is publicly searchable through DOL disclosure data, can help focus your search.
Are there any state-specific considerations for backend engineers seeking sponsorship in New Mexico?
New Mexico's tech hiring is heavily influenced by federal contracting and national laboratory work, which introduces a significant consideration: many backend roles at facilities like Sandia National Laboratories require security clearances that are generally unavailable to non-U.S. citizens or permanent residents. This narrows the pool of sponsoring employers for international candidates to commercial tech firms, university-affiliated organizations, and contractors working on unclassified projects.
What is the prevailing wage for sponsored backend engineer jobs in New Mexico?
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 backend engineer employers are hiring and sponsoring visas in New Mexico right now.
Search Backend Engineer Jobs in New Mexico