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Associate Ai Infrastructure Engineer Jobs in Arizona

Senior Enterprise Infrastructure Engineer

Tempe, AZ · On-site

$103K - $141K/yr

Enterprise Infrastructure The Enterprise Infrastructure team owns the internal technology ecosystem ... Design and implement agentic AI workflows to augment IT operations, applying context engineering ...

Infrastructure Engineer II

Chandler, AZ · On-site

$105K - $138K/yr

Experience with DB2, Cockroach DB, Cassandra, OpenShift/Kubernetes, and AI-driven automation is a ... Infrastructure as Code (Terraform) * CI/CD and DevOps Automation (Jenkins, Bitbucket, JFrog ...

Infrastructure Engineer II

Chandler, AZ · On-site

$105K - $138K/yr

Experience with DB2, Cockroach DB, Cassandra, OpenShift/Kubernetes, and AI-driven automation is a ... Infrastructure as Code (Terraform) * CI/CD and DevOps Automation (Jenkins, Bitbucket, JFrog ...

Experience with DB2, Cockroach DB, Cassandra, OpenShift/Kubernetes, and AI-driven automation is a ... Infrastructure as Code (Terraform) * CI/CD and DevOps Automation (Jenkins, Bitbucket, JFrog ...

New

Advances automation and AI-assisted operations to reduce manual effort, improve consistency, and ... Mentors and assists Infrastructure resources on infrastructure service along with application ...

Infrastructure Engineer Lead

Chandler, AZ · On-site

$105K - $138K/yr

Advances automation and AI-assisted operations to reduce manual effort, improve consistency, and ... Mentors and assists Infrastructure resources on infrastructure service along with application ...

Senior Enterprise Infrastructure Engineer

Tempe, AZ · On-site

$105K - $143K/yr

... AI workflows to augment IT operations, applying context engineering principles to enable reliable, bounded automation and validations. Qualifications : Required : • 5+ years of progressive ...

Infrastructure Engineer Lead

Chandler, AZ · On-site

$105K - $138K/yr

Advances automation and AI-assisted operations to reduce manual effort, improve consistency, and ... Mentors and assists Infrastructure resources on infrastructure service along with application ...

Database engineering * Platform engineering * Cloud/infrastructure architecture * Security and ... Evaluate and guide adoption of emerging database technologies aligned to enterprise needs (e.g., AI ...

New

Experience with DB2, Cockroach DB, Cassandra, OpenShift/Kubernetes, and AI-driven automation is a ... Infrastructure as Code (Terraform) * CI/CD and DevOps Automation (Jenkins, Bitbucket, JFrog ...

Cloud Infrastructure Engineer

Chandler, AZ · On-site

$89.54 - $96.43/hr

Cloud Infrastructure Engineer****Location: Chandler, Arizona (Hybrid)****Duration: 12 months ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Job#: 3039706 Cloud Infrastructure Engineer Location: Chandler, Arizona (Hybrid) Duration: 12 ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Infrastructure Automation Engineer Reports to: IT Infrastructure Engineering Senior Manager FLSA ... Associate's degree preferred. * Strong scripting skills in PowerShell/Microsoft Graph, Python, Bash ...

New

Showing results 21-40

Associate Ai Infrastructure Engineer information

What is the difference between Associate Ai Infrastructure Engineer vs Data Engineer?

AspectAssociate Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, Engineering, or related field; familiarity with cloud platformsBachelor's in CS, Data Science, or related; strong programming skills
Work EnvironmentAI/ML teams, cloud environments, infrastructure setupData pipelines, database management, data processing systems
Employer & Industry UsageTech companies, AI startups, cloud service providersTech firms, finance, healthcare, data-driven industries

Associate Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate, but their core responsibilities differ in infrastructure versus data processing.

How much do associate AI infrastructure engineers make?

Associate AI infrastructure engineers typically earn between $70,000 and $100,000 annually, depending on experience, location, and company size. Entry-level roles may start lower, while those with specialized skills in cloud platforms, machine learning tools, or certifications can earn higher salaries.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Arizona?

The most popular types of Ai Infrastructure Engineer jobs in Arizona are:

What are popular job titles related to Associate Ai Infrastructure Engineer jobs in Arizona?

For Associate Ai Infrastructure Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Associate Ai Infrastructure Engineer jobs in Arizona look for?

The top searched job categories for Associate Ai Infrastructure Engineer jobs in Arizona are:

What cities in Arizona are hiring for Associate Ai Infrastructure Engineer jobs?

Cities in Arizona with the most Associate Ai Infrastructure Engineer job openings:

Infographic showing various Associate Ai Infrastructure Engineer job openings in Arizona as of June 2026, with employment types broken down into 57% Full Time, 39% Part Time, 2% Temporary, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

Senior Enterprise Infrastructure Engineer

Gemini

Tempe, AZ • On-site

$103K - $141K/yr

Full-time

Medical, Retirement

Re-posted 27 days ago


Job description

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all - bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Enterprise Infrastructure

The Enterprise Infrastructure team owns the internal technology ecosystem that supports Gemini's offices and employees. The team operates as a unified engineering and service organization, combining front-line support excellence with DevOps-driven platform engineering under a single mandate.

Our enterprise technology strategy fuels business growth through an engineering-first approach by delivering a modern, secure, and scalable foundation for seamless collaboration, efficient operations, and future-ready innovation. By emphasizing operational excellence, continuous improvement of existing systems, and strategic automation - including Infrastructure as Code, GitOps workflows, and AI-augmented operations - we position IT as an engineering discipline whose impact extends across the department and the broader organization.

The Role: Senior Enterprise Infrastructure Engineer

As a Senior Enterprise Infrastructure Engineer, you will serve as a technical leader and force multiplier across the full breadth of Enterprise Infrastructure - from end-user support excellence to backend platform engineering and automation.

You will apply DevOps methodologies to drive the design, implementation, and continuous improvement of the systems that underpin Gemini's global workforce. This includes owning strategies and execution for endpoint management, user identity and access lifecycle, internal tooling, Infrastructure as Code, CI/CD pipelines, and AI-augmented operational workflows. You will define and track key metrics, communicate trends and capacity insights to leadership, and make strategic decisions about tooling adoption, vendor relationships, and architectural direction with an awareness of how these decisions impact teams and stakeholders beyond Enterprise Infrastructure.

A core expectation of this role is that you approach problems with an eye toward scalability and sustainability, building systems that reduce manual toil, improve reliability, and position the team for rapid growth. You are expected to critically evaluate existing systems and processes, challenging assumptions, identifying inefficiencies, and driving improvements to legacy workflows with the same rigor applied to new builds. You will act as a mentor and escalation point for others, fostering a culture of engineering rigor within support operations and a culture of user empathy within engineering work.

The ideal candidate has deep experience across both operational support and DevOps-driven infrastructure, thrives in ambiguity, and is energized by the challenge of consolidating legacy tooling into modern, automated, GitOps-driven workflows. They bring a pragmatic approach to adopting emerging capabilities - including agentic AI - and are motivated by building solutions that scale beyond their immediate team to benefit the broader organization.

This role is required to be in person 5 days per week at our Tempe, AZ office.

Responsibilities:

  • Office & Endpoint Operations

    • Manage hardware inventory, secure storage, and physical IT infrastructure across global office locations.
    • Administer and support endpoint fleets including provisioning, patch management, and peripheral troubleshooting.
    • Support office A/V systems, network connectivity, and conference room technology.
  • Service Operations & Delivery

    • Resolve service and incident requests with quality, speed, and thorough documentation.
    • Manage user identity and access lifecycle - including SSO, SCIM, MFA, and security key administration.
    • Maintain and improve SaaS platform configurations, vendor relationships, and internal support workflows.
    • Track operational metrics, surface trends, and communicate capacity insights to leadership.
  • Platform Engineering & Automation

    • Build and maintain infrastructure using IaC, configuration management, and GitOps-driven deployment workflows.
    • Develop internal tools and integrations that automate fleet operations, user lifecycle management, and cross-service orchestrations
    • Design and operate CI/CD pipelines for infrastructure changes, tooling, and endpoint configurations.
    • Lead endpoint management platform migrations, including policy authoring, GitOps-managed profiles, and fleet-wide telemetry.
    • Design and implement agentic AI workflows to augment IT operations, applying context engineering principles to enable reliable, bounded automation and validations.

Minimum Qualifications:

  • 5+ years of progressive experience in enterprise IT, infrastructure engineering, or a DevOps-focused support capacity.
  • Strong proficiency with macOS fleet management at scale using MDM platforms.
  • Hands-on experience with Infrastructure as Code and configuration management tooling.
  • Proficiency in at least two of the following languages: Go, Python, Swift - with demonstrated ability to build production-grade internal tooling and API integrations.
  • Deep experience with identity and access management platforms (Okta, Google Workspace, Active Directory), including SSO, SCIM, Device Assurance Policies, MFA, and user lifecycle automation.
  • Working knowledge of CI/CD pipelines (GitHub Actions or equivalent) and Git-based development workflows.
  • Solid understanding of networking fundamentals.
  • Experience with AWS cloud services in a production or internal-tooling context.
  • Proven ability to communicate complex technical concepts to both technical and non-technical audiences, including leadership.
  • Experience mentoring junior engineers and contributing to team culture, hiring, and process improvement.

Preferred Qualifications:

  • Experience in fintech, crypto, or regulated financial services environments.
  • Experience with FleetDM and osquery for endpoint telemetry, compliance, and GitOps-managed device configuration.
  • Experience designing agentic AI harnesses and workflows or applying context engineering techniques to augment operational processes (e.g., Claude Code, OpenCode, LLM-driven automation).
  • Proficiency in Go, Python, and/or Swift for internal tooling development.
  • Hands-on experience deploying reliable tools via Containerization and Orchestration (Docker, Kubernetes/EKS).
  • Experience managing 1,000+ user accounts across a globally distributed workforce.
  • Working knowledge of the Apple MDM protocol and open-source macOS tooling (Munki, AutoPkg, SaltStack, etc.).
  • Experience with A/V systems administration (Crestron, Logitech, Chromebox for Meetings).
  • SaaS Administration experience (Anthropic, Atlassian, Google Workspace, Linear, Okta, & more), service management workflows, and SLA reporting.
It Pays to Work Here
 
The compensation & benefits package for this role includes:
  • Competitive starting pay
  • A discretionary annual bonus
  • Long-term incentive in the form of a new hire equity grant
  • Comprehensive health plans
  • 401K with company matching
  • Paid Parental Leave
  • Flexible time off

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

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