Backend Software Engineer Visa Sponsorship Jobs in Arizona
Arizona's backend software engineer job market is anchored by major employers like Intel, Microchip Technology, and a growing cluster of fintech and cloud companies in the Phoenix and Tempe metro areas. The state's expanding tech sector, fueled by university pipelines from Arizona State University, makes it an active market for visa sponsorship hiring.
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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 Engineer Job Roles in Arizona
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Search Backend Software Engineer Jobs in ArizonaBackend Software Engineer Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for backend software engineers in Arizona?
Intel's Chandler campus, Microchip Technology, GoDaddy, and PayPal have historically filed Labor Condition Applications for backend engineering roles in Arizona. Fintech companies concentrated in the Phoenix metro, along with defense contractors like Raytheon, are also active sponsors. Larger enterprises with established immigration programs tend to sponsor more consistently than early-stage startups.
Which visa types are most common for backend software engineer roles in Arizona?
The H-1B is the most widely used visa category for backend software engineers in Arizona, as these roles typically qualify as specialty occupations requiring a bachelor's degree or higher in computer science or a related field. Employers also sponsor L-1B transfers for engineers moving from overseas offices, and candidates with extraordinary ability may pursue the O-1A independently.
Which cities in Arizona have the most backend software engineer sponsorship jobs?
Phoenix and its immediate suburbs, including Tempe, Scottsdale, and Chandler, account for the overwhelming majority of backend engineering sponsorship activity in Arizona. Chandler in particular hosts Intel's large semiconductor operations. Tucson has a smaller but active tech presence, largely connected to the University of Arizona's computer science and engineering programs.
How to find backend software engineer visa sponsorship jobs in Arizona?
Migrate Mate filters job listings specifically for visa sponsorship, so you can browse backend software engineer roles in Arizona without sorting through positions that won't support international candidates. The platform aggregates openings from employers who have demonstrated sponsorship history, which is particularly useful in Arizona's mixed market of large enterprises and growth-stage companies where sponsorship availability isn't always clearly stated.
Are there state-specific factors that affect visa sponsorship for backend engineers in Arizona?
Arizona's tech sector is concentrated in the Phoenix metro's Maricopa County, where the Department of Labor's prevailing wage determinations apply to all H-1B Labor Condition Applications. Arizona State University's large computer science enrollment creates a competitive local graduate pool, but companies expanding into Arizona's lower-cost market relative to California often maintain active international hiring pipelines to meet backend engineering demand.
What is the prevailing wage for sponsored backend software engineer 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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