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Remote Infrastructure Software Engineer Jobs in Arizona

Provn

Senior Agentic Software Engineer

Scottsdale, AZ · Remote

$146K - $302K/yr

Senior Agentic Software Engineer (Remote) arrivia Remote (US) Full-time About arrivia arrivia specializes in making brands better through the power of travel. The company is a merger of three ...

Shutterfly

Senior Principal Software Engineer

Tempe, AZ · Remote

$122K - $168K/yr

This position is a remote role that will be based in the United States with preference given to ... Scalable inference and orchestration infrastructure * Ensure systems are highly available ...

Shutterfly

Senior Principal Software Engineer

Tempe, AZ · Remote

$122K - $168K/yr

This position is a remote role that will be based in the United States with preference given to ... Scalable inference and orchestration infrastructure * Ensure systems are highly available ...

Shutterfly

Senior Principal Software Engineer

Phoenix, AZ · Remote

$122K - $169K/yr

This position is a remote role that will be based in the United States with preference given to ... Scalable inference and orchestration infrastructure * Ensure systems are highly available ...

Shutterfly

Senior Principal Software Engineer

Phoenix, AZ · Remote

$122K - $169K/yr

This position is a remote role that will be based in the United States with preference given to ... Scalable inference and orchestration infrastructure * Ensure systems are highly available ...

YO AI Labs

CUDA Software Engineer - Remote

Phoenix, AZ · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

Equipifi Inc

Senior Software Engineer

Scottsdale, AZ · On-site +1

$123K - $162K/yr

... infrastructure for modern banking. We make Buy Now, Pay Later a native banking product by powering ... Where you'll make an impact As a Senior Software Engineer on our Core Team, you'll help build the ...

YO AI Labs

Backend Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Epiq

AI Software Engineer

Phoenix, AZ · Remote

Epiq is seeking a highly skilled AI Software Engineer to join our Operations Engineering team. This ... LI-Remote The Compensation range for this role is 120,000 to 160,000 USD annually and may be ...

Provn

Agentic Software Engineer II

Scottsdale, AZ · Remote

$119K - $188K/yr

Agentic Software Engineer II (Remote) arrivia Remote (US) Full-time About arrivia arrivia specializes in making brands better through the power of travel. The company is a merger of three powerhouse ...

YO AI Labs

Frontend Developer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

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Remote Infrastructure Software Engineer information

What is a remote infrastructure software engineer?

Remote Infrastructure Software Engineers are professionals who design, build, and maintain the core systems and services that support an organization's IT infrastructure, all while working remotely. They focus on ensuring that networks, servers, cloud environments, and related software are secure, scalable, and reliable. Their responsibilities may include automating deployment processes, managing cloud resources, monitoring system performance, and troubleshooting issues. By working remotely, they leverage various collaboration tools to communicate with teams and manage critical infrastructure from anywhere.

How does a remote infrastructure software engineer typically collaborate with cross-functional teams in a distributed work environment?

Remote Infrastructure Software Engineers regularly work with DevOps, security, and development teams to ensure that infrastructure solutions are reliable and scalable. Collaboration often happens through daily stand-ups, code reviews, and shared documentation platforms, making strong communication skills essential. Tools like Slack, Jira, and Zoom are commonly used to bridge the distance and keep projects aligned. Successfully navigating time zone differences and asynchronous communication is a key part of the role, requiring proactive updates and flexibility.

What are the key skills and qualifications needed to thrive as a remote infrastructure software engineer, and why are they important?

To thrive as a Remote Infrastructure Software Engineer, you need a strong background in software engineering, computer networking, and distributed systems, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), infrastructure-as-code tools (like Terraform or Ansible), and CI/CD systems is essential, along with relevant certifications like AWS Certified Solutions Architect. Excellent problem-solving, communication, and self-management skills are crucial for collaborating effectively across distributed teams and handling complex remote projects. These skills ensure secure, reliable, and scalable systems that support business goals in a remote work environment.

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

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

What cities in Arizona are hiring for Remote Infrastructure Software Engineer jobs?

Cities in Arizona with the most Remote Infrastructure Software Engineer job openings:

Remote Infrastructure Software Engineer jobs near you

AI Agent Evaluation Engineer - Remote

YO AI Labs

Phoenix, AZ • Remote

$80 - $120/hr

Full-time

Posted 11 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.