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Operations Engineer Jobs in Arizona (NOW HIRING)

Infosys Limited Digital

Kafka DevOps Engineer

Chandler, AZ · On-site

$52 - $71.25/hr

... Devops|Ansible Technical Skills 2 Technology|Integration|Confluent Kafka Technical Skills 3 ... Technology|Open System|UNIX Technical Skills 4 Technology|Cloud Platform|Terraform Overview The ...

Infosys

Kafka DevOps Engineer

Chandler, AZ · On-site

$52 - $71.25/hr

Required Skill and Experience • Hands on experience with Kafka • Confluent Kafka experience along with Automation using Terraform and Python/Ansible • Experience in Devops. Preferred Skill and ...

Infosys

DevOps Engineer

Tempe, AZ · On-site

$51.25 - $70.25/hr

Job Summary : Infosys is a global leader in next-generation digital services and consulting. In the role of Technology Consultant 2, you will be responsible for contributing to requirements ...

BloKchain Talent

Senior XMPP DevOps Engineer

Tempe, AZ · On-site

$126K - $162K/yr

... s Engineer LOCATION: Phoenix AZ SALARY: Based on Experience SPONSORSHIP : No Responsibilities * Design and implement zero-downtime to accomplish highly available service (99.99%) * Design and ...

BloKchain Talent

Senior XMPP DevOps Engineer

Tempe, AZ

$126K - $162K/yr

... s Engineer LOCATION: Phoenix AZ SALARY: Based on Experience SPONSORSHIP : No Responsibilities * Design and implement zero-downtime to accomplish highly available service (99.99%) * Design and ...

BloKchain Talent

Senior Realtime DevOps Engineer

Tempe, AZ · On-site

$126K - $162K/yr

... s Engineer LOCATION : Phoenix AZ SALARY : Based on Experience SPONSORSHIP : No Responsibilities : * Design and implement zero-downtime to accomplish highly available service (99.99%) * Design and ...

BloKchain Talent

Senior Realtime DevOps Engineer

Tempe, AZ

$126K - $162K/yr

... s Engineer LOCATION : Phoenix AZ SALARY : Based on Experience SPONSORSHIP : No Responsibilities : * Design and implement zero-downtime to accomplish highly available service (99.99%) * Design and ...

EdgeConneX

Lead Electrical Operations Engineer

Mesa, AZ · On-site

$158K - $165K/yr

Lead Data Center (Electrical) Operations Engineer - Mesa, Arizona The Lead Electrical Operations Engineer will support the local data center site team on advanced electrical engineering duties within ...

EdgeConneX

Lead Mechanical Operations Engineer

Mesa, AZ

$109K - $132K/yr

Lead Mechanical Operations Engineer - Mesa, Arizona Campus The Lead Mechanical Operation Engineer will support and lead the local data center site team on advanced mechanical engineering duties ...

BloKchain Talent

Senior Web DevOps Engineer

Tempe, AZ · On-site

$126K - $162K/yr

... s Engineer LOCATION: Phoenix AZ SALARY: Based on Experience SPONSORSHIP : No Responsibilities: * Design and implement zero-downtime to accomplish highly available service (99.99%) * Design and ...

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All JobsOperations Engineer JobsOperations Engineer Jobs in Arizona

Operations Engineer information

See Arizona salary details

$33.5K

$79.2K

$125.8K

How much do operations engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for operations engineer in Arizona is $79,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $87,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Operations Engineer, and why are they important?

To thrive as an Operations Engineer, you need a strong background in systems engineering, troubleshooting, and process optimization, often supported by a degree in engineering or a related field. Familiarity with monitoring tools, automation platforms, and IT infrastructure management systems, as well as certifications like AWS Certified SysOps Administrator or ITIL, is highly beneficial. Strong problem-solving abilities, teamwork, and effective communication set outstanding candidates apart. These skills and qualifications are crucial for ensuring reliable operations, minimizing downtime, and supporting continuous improvement in complex technical environments.

What are the 4 types of engineers?

Engineers are typically categorized into four main types: civil engineers who design infrastructure, mechanical engineers who work on machinery and systems, electrical engineers focused on electrical systems and electronics, and software engineers who develop computer programs. Each type requires specific skills, education, and certifications relevant to their field.

What does an operations engineer do?

An operations engineer is responsible for managing and maintaining the infrastructure, systems, and processes that support an organization’s daily operations. They often work with automation tools, monitor system performance, troubleshoot issues, and implement improvements to ensure efficiency and reliability. Strong technical skills, knowledge of networking, and familiarity with cloud platforms are typically required for this role.

What are some of the most common challenges Operations Engineers face when supporting complex infrastructure, and how can they address them?

Operations Engineers often encounter challenges such as maintaining system uptime, quickly resolving incidents, and managing configuration changes across large, distributed environments. These tasks require strong troubleshooting skills and effective communication with both development and IT teams. Keeping up with evolving technologies and automating routine processes can help mitigate these challenges. Proactively monitoring systems and participating in regular cross-functional meetings also ensures smoother operations and quicker response to issues.

What engineers make $500,000?

Senior engineers in fields such as software, petroleum, and aerospace engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and working in high-paying industries or leadership roles.

What engineers make $300,000 a year?

Senior engineers in fields such as software, petroleum, and aerospace often reach or exceed $300,000 annually, especially with experience, specialized skills, and in high-demand industries. Roles involving leadership, advanced technical expertise, or working in competitive markets tend to have higher compensation levels.

What are Operations Engineers?

Operations Engineers are professionals responsible for ensuring that a company's technical systems and processes run efficiently and effectively. They monitor, maintain, and optimize operations related to production, IT infrastructure, or other mission-critical systems. Their duties often include troubleshooting problems, implementing improvements, and coordinating with other teams to achieve organizational goals. Operations Engineers play a key role in minimizing downtime and maximizing productivity. They also help develop procedures and protocols to enhance safety, quality, and compliance.

What Does an Operations Engineer Do?

An operations engineer maintains a company's operations system. In this career, your primary responsibilities include designing heavy equipment layouts, assisting with technical operations, analyzing machinery, running tests, and implementing changes. You are in charge of conducting investigations and using engineering theories and principles to improve the computer systems. Your duties also include updating systems, repairing machinery, providing preemptive maintenance, and documenting operational procedures and processes. As an operations engineer, you must always be looking to improve quality and efficiency and cut costs.

What is the difference between Operations Engineer vs Network Engineer?

AspectOperations EngineerNetwork Engineer
Required CredentialsBachelor's in Engineering, IT, or related field; certifications like Cisco CCNA, CompTIA Network+Bachelor's in Computer Science, IT, or related; Cisco CCNA, CCNP certifications
Work EnvironmentIT infrastructure, data centers, cloud environmentsNetwork infrastructure, data centers, enterprise networks
Employer & Industry UsageTech companies, data centers, cloud providersTelecommunications, ISPs, large enterprises
Common Search & Comparison IntentUnderstanding operational roles in IT infrastructureNetworking setup, maintenance, and troubleshooting

Operations Engineers focus on managing and optimizing overall IT and infrastructure operations, including cloud and data center environments. Network Engineers specialize in designing, implementing, and maintaining network systems. While both roles require networking certifications and work in similar environments, Operations Engineers have a broader scope, often overseeing multiple systems beyond just networks.

More about Operations Engineer jobs
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Operations Engineer jobs near you

Machine Learning Operations Engineer

Swarmbotics AI

Phoenix, AZ • On-site

$65K - $88K/yr

Full-time

Posted 5 days ago

Job description

Company Background:
SwarmboticsAI is pushing the frontier of advanced machine learning models and architectures on edge devices for swarms of unmanned ground vehicles (UGV). We see an urgent need for low-cost intelligent autonomous swarm UGV systems in the defense space. Our primary product is a defense application of swarm UGVs, collectively termed - Attritable, Networked, Tactical Swarm (ANTS). Each UGV in ANTS is an independently-tasked, attritable robot designed for on-demand and autonomous mobility. When operating as a swarm, ANTS is capable of executing advanced and coordinated high-level capabilities across multiple domains.
Stephen Houghton and Drew Watson are the Founders and have decades of experience in self-driving cars and trucks, humanoids, and UAVs with experience from NASA, JPL, Cruise, Embark, McKinsey, Amazon, and the CIA.
Position description:
SwarmboticsAI is seeking a highly skilled MLOps Engineer to design, build, and maintain the machine learning infrastructure that powers our autonomous swarm systems. This engineer will be responsible for creating robust, scalable ML pipelines that support our perception team's cutting-edge computer vision and deep learning models. You'll ensure seamless model training, deployment, and monitoring across our fleet of UGVs. This engineer will work closely with our ML/Perception team and company leadership to scale our ML capabilities across the SwarmboticsAI product roadmap.
What you'll do:
  • Design and implement end-to-end ML pipelines for training, validation, and deployment of perception models
  • Develop robust data management systems for large-scale sensor data (cameras, LiDAR, IMU) collected from field operations
  • Implement model monitoring, A/B testing, and performance tracking systems for deployed models
  • Build CI/CD pipelines for model versioning, testing, and deployment to vehicle fleets
  • Design distributed computing solutions for large-scale data processing and model training
  • Create tools for data annotation, model evaluation, and performance visualization
  • Work collaboratively with perception engineers, robotics teams, and field operations

Required qualifications:
  • Minimum 2 years industry experience in MLOps, DevOps, or ML infrastructure
  • Bachelor's degree in computer science, engineering, or related field
  • Strong experience with ML pipeline orchestration tools (Kubeflow, MLflow, or similar)
  • Proficiency in containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure)
  • Strong Python programming and Linux system administration skills
  • Experience with model serving frameworks (TensorRT, ONNX Runtime, TorchServe)
  • Knowledge of data versioning and experiment tracking (Weights & Biases, Neptune, or similar)
  • Experience with monitoring and logging systems (Prometheus, Grafana, ELK stack)
  • Strong organization and communication to work well across teams in a fast-paced startup environment
  • Comfort working in the high-paced, fluid environment of a tech startup
  • Excitement about contributing to the defense of the United States and its allies
  • Must be eligible to work on export-controlled projects.
  • Ability to relocate to Phoenix, AZ area

Nice to have qualifications:
  • Masters degree in computer science, engineering, or related field
  • Experience with edge AI deployment and embedded systems optimization
  • Prior robotics or autonomous vehicle MLOps experience
  • Experience with real-time data streaming (Kafka, RabbitMQ)
  • Knowledge of security and compliance requirements for defense applications
  • Experience with multi-modal sensor data processing and fusion
  • Familiarity with ROS and robotics software stacks
  • Experience with a CatBs framework is preferred

The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.

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