Backend Software Developer Visa Sponsorship Jobs in Arizona
Arizona's backend software developer market is concentrated in the Phoenix metro, where companies like Intel, GoDaddy, Axon, and Microchip Technology have established significant engineering teams. Tempe, Scottsdale, and Chandler anchor the state's tech corridor, and Arizona State University feeds a steady pipeline of engineering talent that attracts employers willing to sponsor visas.
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INTRODUCTION
Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.
What Cognite is Relentless to achieve: We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you’ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
We are looking for a Senior Backend Software Engineer to be a core contributor in scaling our AI capabilities. Your work will be central to building the robust, scalable backend services that power intelligent agents and integrate them into Cognite's core offerings. You will help define the architecture that brings these agents to life, ensuring they are reliable, performant, and secure.
ROLE AND RESPONSIBILITIES
How you’ll demonstrate Ownership:
- Build Scalable Systems: Design and implement resilient backend services and APIs that can handle high volumes of industrial data and complex AI workflows.
- Orchestrate Industrial AI: Evaluate, implement, and benchmark Large Language Models (LLMs) and AI agents, focusing on the backend infrastructure required to serve these models at scale.
- Drive Operational Excellence: Champion a "built to run" mindset by implementing comprehensive telemetry, automated testing, and CI/CD patterns to ensure our SaaS offerings meet strict SLOs.
- Collaborate Cross-Functionally: Work closely with frontend engineers, product managers, and industrial domain experts to translate complex customer needs into elegant technical solutions.
The Impact you bring to Cognite:
- Develop and maintain high-performance backend services primarily in Python, ensuring high code quality and test coverage.
- Build and manage infrastructure on Kubernetes across a multi-cloud environment (Azure, AWS, GCP).
- Design and optimize data schemas and access patterns for industrial time-series and relational data.
- Backend integration of generative AI capabilities, including RAG pipelines and agentic workflows.
- Participate in on-call rotations and take ownership of the production health of the services you build.
- Mentor mid-level and junior engineers through technical guidance and architectural oversight.
BASIC QUALIFICATIONS
- 5+ years of professional software development experience, with a focus on backend systems.
- Python Expertise: Authoritative knowledge of Python and its ecosystem. Experience with other languages like Kotlin, Java, or Rust is a plus.
- Cloud Native Proficiency: Extensive experience designing and operating large-scale systems in a multi-cloud environment using Kubernetes, Docker, and Terraform.
- Distributed Systems: Proven track record of building scalable APIs and microservices that interact with complex data stores (SQL, NoSQL, or Graph databases).
PREFERRED QUALIFICATIONS
- Applied AI Interest: A strong interest in (or experience with) LLMs and AI/ML frameworks. You are excited to build the "plumbing" that makes AI useful in a production industrial setting.
- Ownership Mentality: You don't just write code; you take responsibility for how that code performs in production and how it solves the customer's problem.
- Communication: Excellent verbal and written English communication skills; able to explain complex architectural trade-offs to both technical and non-technical stakeholders.
- Experience building production-grade applications on top of LLMs (OpenAI, Anthropic, LangChain, etc.).
- Knowledge of GraphQL or graph databases (e.g., Neo4j).
- Familiarity with industrial protocols (OPC-UA, MQTT) or time-series databases.
- Prior experience in a high-growth SaaS environment with a strong engineering culture.
- Experience with Infrastructure as Code (e.g., Terraform) and managing containerized workloads in Kubernetes.
- Familiarity with building and maintaining automated deployment pipelines using Jenkins, GitHub Actions, or similar tools.
BENEFITS
A snapshot of our many perks and benefits as a Cogniter:
- Competitive compensation
- 401(k) with employer matching
- Competitive health, dental, vision & disability coverages for employees and all dependents
- Unlimited PTO
- Paid Parental Leave Program
- Employee Referral Program
- Join a team of 60+ different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝.
- A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
- Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
- Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
- Paid mobile phone and WiFi
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

INTRODUCTION
Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.
What Cognite is Relentless to achieve: We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you’ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
We are looking for a Senior Backend Software Engineer to be a core contributor in scaling our AI capabilities. Your work will be central to building the robust, scalable backend services that power intelligent agents and integrate them into Cognite's core offerings. You will help define the architecture that brings these agents to life, ensuring they are reliable, performant, and secure.
ROLE AND RESPONSIBILITIES
How you’ll demonstrate Ownership:
- Build Scalable Systems: Design and implement resilient backend services and APIs that can handle high volumes of industrial data and complex AI workflows.
- Orchestrate Industrial AI: Evaluate, implement, and benchmark Large Language Models (LLMs) and AI agents, focusing on the backend infrastructure required to serve these models at scale.
- Drive Operational Excellence: Champion a "built to run" mindset by implementing comprehensive telemetry, automated testing, and CI/CD patterns to ensure our SaaS offerings meet strict SLOs.
- Collaborate Cross-Functionally: Work closely with frontend engineers, product managers, and industrial domain experts to translate complex customer needs into elegant technical solutions.
The Impact you bring to Cognite:
- Develop and maintain high-performance backend services primarily in Python, ensuring high code quality and test coverage.
- Build and manage infrastructure on Kubernetes across a multi-cloud environment (Azure, AWS, GCP).
- Design and optimize data schemas and access patterns for industrial time-series and relational data.
- Backend integration of generative AI capabilities, including RAG pipelines and agentic workflows.
- Participate in on-call rotations and take ownership of the production health of the services you build.
- Mentor mid-level and junior engineers through technical guidance and architectural oversight.
BASIC QUALIFICATIONS
- 5+ years of professional software development experience, with a focus on backend systems.
- Python Expertise: Authoritative knowledge of Python and its ecosystem. Experience with other languages like Kotlin, Java, or Rust is a plus.
- Cloud Native Proficiency: Extensive experience designing and operating large-scale systems in a multi-cloud environment using Kubernetes, Docker, and Terraform.
- Distributed Systems: Proven track record of building scalable APIs and microservices that interact with complex data stores (SQL, NoSQL, or Graph databases).
PREFERRED QUALIFICATIONS
- Applied AI Interest: A strong interest in (or experience with) LLMs and AI/ML frameworks. You are excited to build the "plumbing" that makes AI useful in a production industrial setting.
- Ownership Mentality: You don't just write code; you take responsibility for how that code performs in production and how it solves the customer's problem.
- Communication: Excellent verbal and written English communication skills; able to explain complex architectural trade-offs to both technical and non-technical stakeholders.
- Experience building production-grade applications on top of LLMs (OpenAI, Anthropic, LangChain, etc.).
- Knowledge of GraphQL or graph databases (e.g., Neo4j).
- Familiarity with industrial protocols (OPC-UA, MQTT) or time-series databases.
- Prior experience in a high-growth SaaS environment with a strong engineering culture.
- Experience with Infrastructure as Code (e.g., Terraform) and managing containerized workloads in Kubernetes.
- Familiarity with building and maintaining automated deployment pipelines using Jenkins, GitHub Actions, or similar tools.
BENEFITS
A snapshot of our many perks and benefits as a Cogniter:
- Competitive compensation
- 401(k) with employer matching
- Competitive health, dental, vision & disability coverages for employees and all dependents
- Unlimited PTO
- Paid Parental Leave Program
- Employee Referral Program
- Join a team of 60+ different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝.
- A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
- Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
- Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
- Paid mobile phone and WiFi
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
Backend Software Developer Job Roles in Arizona
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Search Backend Software Developer Jobs in ArizonaBackend Software Developer Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for backend software developers in Arizona?
Several large employers in Arizona have consistent H-1B sponsorship histories for backend roles, including Intel, GoDaddy, Axon, Microchip Technology, and Honeywell. Banner Health and Mayo Clinic also sponsor backend developers for healthcare technology systems. Consulting firms with Arizona offices, including Accenture and Cognizant, regularly file H-1B petitions for software developer positions across the Phoenix metro.
Which visa types are most common for backend software developer roles in Arizona?
The H-1B is the most common visa for backend software developers in Arizona, as these roles consistently qualify as specialty occupations requiring a bachelor's degree in computer science or a related field. L-1B visas appear for intracompany transfers at multinationals like Intel. Canadian and Mexican nationals working backend roles may qualify for TN status under the USMCA software engineer category.
How to find backend software developer visa sponsorship jobs in Arizona?
Migrate Mate is built specifically for this search. You can filter by role and state to see backend software developer positions in Arizona where employers have active sponsorship willingness. Because many general job boards don't surface sponsorship status clearly, Migrate Mate focuses the results on openings relevant to visa-dependent candidates, saving you the time of filtering through listings that won't consider international applicants.
Which cities in Arizona have the most backend software developer sponsorship jobs?
Phoenix, Tempe, Scottsdale, and Chandler collectively account for the majority of backend developer sponsorship activity in Arizona. Chandler hosts Intel's large semiconductor campus with substantial engineering headcount. Tempe benefits from proximity to Arizona State University and a growing startup ecosystem. Scottsdale attracts fintech and SaaS employers. Tucson has a smaller but active tech presence, particularly around University of Arizona research spinoffs.
Are there any Arizona-specific considerations for backend software developer visa sponsorship?
Arizona's prevailing wage determinations for backend software developers are set by the Department of Labor based on the Phoenix-Mesa-Chandler metropolitan area, which employers must meet or exceed when filing an H-1B Labor Condition Application. Arizona State University and University of Arizona produce substantial computer science graduates, creating a local talent pipeline that some employers draw from before pursuing international sponsorship. No state-level visa or work authorization rules supplement federal requirements.
What is the prevailing wage for sponsored backend software developer jobs in Arizona?
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.
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