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Senior Infrastructure Engineer Jobs in Gilbert, AZ

Nastech Global

Slack SME Engineer

Phoenix, AZ · On-site

Contract W2 Senior Slack Infrastructure Engineer As a Slack Infrastructure Engineer, you will be responsible for managing and maintaining the infrastructure of our Slack environment. This includes ...

Brio Water Technology

Senior Systems Engineer

Glendale, AZ · Hybrid

$103K - $142K/yr

About the role We are seeking a Senior Systems & Network Engineer to join our team and play a key role in modernizing Brio's infrastructure. This position is responsible for the design ...

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Senior Infrastructure Engineer information

See Gilbert, AZ salary details

$22.4K

$126.6K

$174.9K

How much do senior infrastructure engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior infrastructure engineer in Gilbert, AZ is $126,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $147,000.00 per year, depending on experience, location, and employer.

What is a senior infrastructure engineer?

Senior Infrastructure Engineers are experienced IT professionals responsible for designing, implementing, maintaining, and optimizing an organization’s core technology infrastructure. This includes servers, networks, cloud environments, and related systems that support business operations. They often lead projects, troubleshoot complex issues, and ensure the reliability, security, and scalability of the infrastructure. In addition to technical expertise, they may mentor junior engineers and collaborate with other departments to align technology with business goals.

What are some common challenges faced by senior infrastructure engineers when supporting large-scale systems?

Senior Infrastructure Engineers often encounter challenges such as ensuring high availability and reliability of systems, managing complex migrations, and optimizing performance under heavy workloads. Coordinating with development and security teams is essential to implement infrastructure changes without disrupting services. Additionally, staying ahead of evolving technologies and automating routine tasks can be demanding but crucial for efficiency and scalability. Successfully navigating these challenges requires strong technical expertise, proactive problem-solving, and effective cross-team communication.

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

To thrive as a Senior Infrastructure Engineer, you need deep expertise in network architecture, server management, cloud platforms, and a relevant degree or certifications like AWS Certified Solutions Architect or Microsoft Certified: Azure Administrator. Proficiency with infrastructure-as-code tools (e.g., Terraform, Ansible), virtualization platforms, and monitoring systems is typical in this role. Strong problem-solving skills, leadership, and effective communication help you manage complex projects and collaborate across teams. These skills ensure reliable, secure, and scalable IT environments that support organizational goals.

What is the difference between Senior Infrastructure Engineer vs Network Engineer?

AspectSenior Infrastructure EngineerNetwork Engineer
CredentialsBachelor's in Computer Science or related, certifications like Cisco CCNA/CCNP, AWS, or AzureBachelor's in Computer Science or related, Cisco CCNA/CCNP, CompTIA Network+
Work EnvironmentDesigning, implementing, and maintaining IT infrastructure, servers, cloud servicesConfiguring, managing, and troubleshooting network hardware and connectivity
Employer & Industry UsageTech companies, data centers, large enterprisesTelecommunications, IT service providers, corporate networks

While both roles require networking knowledge and certifications, Senior Infrastructure Engineers focus on overall infrastructure design and cloud integration, whereas Network Engineers specialize in network hardware and connectivity. The Senior Infrastructure Engineer role is broader, often overseeing multiple systems, while Network Engineers concentrate on network-specific tasks.

How much do senior infrastructure engineers make?

Senior infrastructure engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in cloud platforms, networking, and automation tools, which can influence salary levels.

What are the most commonly searched types of Infrastructure Engineer jobs in Gilbert, AZ?

The most popular types of Infrastructure Engineer jobs in Gilbert, AZ are:

What are popular job titles related to Senior Infrastructure Engineer jobs in Gilbert, AZ?

For Senior Infrastructure Engineer jobs in Gilbert, AZ, the most frequently searched job titles are:

What job categories do people searching Senior Infrastructure Engineer jobs in Gilbert, AZ look for?

The top searched job categories for Senior Infrastructure Engineer jobs in Gilbert, AZ are:

What cities near Gilbert, AZ are hiring for Senior Infrastructure Engineer jobs?

Cities near Gilbert, AZ with the most Senior Infrastructure Engineer job openings:

Senior Infrastructure Engineer jobs near you
Infographic showing various Senior Infrastructure Engineer job openings in Gilbert, AZ as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $126,564 per year, or $60.8 per hour.

Senior / Staff Machine Learning Infrastructure Engineer

Waabi

Phoenix, AZ • On-site, Remote

$157K - $234K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 28 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will..
- Design, develop, and implement the machine learning platform for the continuous deployment and integration of machine learning models.
- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.
- Automate the training, testing and deployment processes for machine learning models.
- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.
- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
- Ensure compliance with security and data privacy standards in all MLOps activities.
 
Qualifications:
- 3-5 years of experience supporting machine learning training platforms.
- Bachelor's degree in Computer Science, Data Science or a related field.
- Strong understanding of machine learning principles and model lifecycle management.
- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.
- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
- Experience managing technology such as JupyterHub and Kubeflow.
- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.
- Strong problem-solving skills and ability to troubleshoot complex issues.
- Experience with monitoring tools and practices for model performance in production.
- Ability to work collaboratively in cross-functional teams.
 
Bonus/nice to have: 
- Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.
- Knowledge of big data technologies like Apache Spark or Hadoop.
- Familiarity with data engineering practices and tools.
- Experience with A/B testing and model validation in production environments.
- Relevant MLOps certifications (e.g., AWS Certified Machine Learning - Specialty, DataRobot MLOps Certification) are a plus.
The US yearly salary range for this role is: $157,000 - $234,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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