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Devops Training Jobs in Arizona (NOW HIRING)

MAXIMUS

Senior Lead Salesforce Developer

Phoenix, AZ · On-site

$123K - $185K/yr

May provide guidance, coaching, and training to other employees within job area. Job-Specific ... Build and maintain DevOps practices, including version control (Git), CI/CD pipelines, automated ...

Next Step Systems

SQL Server Developer

Tucson, AZ · On-site

... all training as directed. - Provide documentation related to formal education, training, and ... Keywords: Tucson AZ Jobs, SQL Server Developer, T-SQL, SQL Profiler, XML, JSON, Azure, DevOps, ...

Edgewater Federal Solutions, Inc.

Be Seen First

Applications Developer II

Phoenix, AZ · On-site

$85K - $88K/yr

Contribute to continuous improvement initiatives, including code reviews, documentation, DevOps ... Tuition and Technical Training Reimbursement * Exercise Reimbursement * Computer Reimbursement

U-Haul

Software Developer - Core Services

Phoenix, AZ · On-site +1

This team is integral to our operations, supporting multiple critical systems that are at the heart ... Valuable on-the-job training * Tuition Reimbursement Program * Free online courses for personal and ...

U-Haul

Software Developer - Core Services

Phoenix, AZ · Remote

This team is integral to our operations, supporting multiple critical systems that are at the heart ... Valuable onthejob training * Tuition Reimbursement Program * Free online courses for personal and ...

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Design, implement, and maintain ML pipelines for training, testing, and deploying AIML models ... Required Qualifications: 5 years experience in DevOps, CloudOps, or ML Ops. 5 years experience with ...

Genesis10

Pega Lead Developer

Chandler, AZ · On-site

$59.53 - $67.53/hr

... operational standards Requirements: * 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training ...

Infosys

Kubernetes SME

Tempe, AZ · On-site

... DevOps|Continuous delivery - Continuous deployment and release Overview The Infosys Engineering ... training programs, documentation, and support frameworks to ensure a smooth transition to new ...

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All JobsDevops Training JobsDevops Training Jobs in Arizona

Devops Training information

Is DevOps dead due to AI?

DevOps professionals continue to be in demand as AI tools automate certain tasks but do not replace the need for skills in automation, cloud platforms, and continuous integration. AI enhances DevOps workflows by improving efficiency, but the role still requires expertise in scripting, monitoring, and infrastructure management. Staying updated with tools like Docker, Kubernetes, and CI/CD pipelines remains essential for DevOps practitioners.

Can you get a DevOps job with no experience?

Entering a DevOps role without experience is challenging but possible by gaining foundational skills in Linux, scripting, and cloud platforms, and obtaining certifications like AWS or Azure. Entry-level positions often look for relevant knowledge, certifications, and a willingness to learn, even if direct experience is limited.

What jobs can you get with a DevOps certification?

A DevOps certification can qualify you for roles such as DevOps Engineer, Site Reliability Engineer, Automation Engineer, or Cloud Engineer. These positions typically involve managing infrastructure, automating deployment processes, and working with tools like Jenkins, Docker, and Kubernetes to improve software delivery and system reliability.

What are some common challenges faced by professionals during DevOps training, and how can they be overcome?

One common challenge during DevOps training is bridging the gap between development and operations mindsets, as these teams often have different priorities and workflows. Adapting to new tools and automation processes can also be daunting, especially for those with limited prior exposure. To overcome these challenges, it’s helpful to participate in hands-on labs, collaborate closely with peers, and seek mentorship from experienced DevOps practitioners. Regular practice and open communication within cross-functional teams also accelerate learning and integration.

What is DevOps training?

DevOps training is a specialized educational program designed to teach individuals the principles, practices, and tools of DevOps, a collaborative approach to software development and IT operations. The training covers topics such as continuous integration and delivery (CI/CD), automation, infrastructure as code, monitoring, and collaboration between development and operations teams. It aims to help participants understand how to improve software quality, increase deployment speed, and foster a culture of continuous improvement within organizations.

What are the key skills and qualifications needed to thrive in DevOps training, and why are they important?

To excel in DevOps training, you need a solid understanding of software development, system administration, and networking fundamentals, often supported by a background in computer science or relevant IT experience. Familiarity with tools such as Docker, Kubernetes, Jenkins, Git, and cloud platforms like AWS or Azure, as well as certifications like AWS Certified DevOps Engineer or Docker Certified Associate, is highly beneficial. Strong problem-solving, collaboration, and adaptability skills help individuals navigate fast-changing environments and foster effective teamwork. These competencies are crucial to streamline software delivery, enhance operational efficiency, and ensure continuous integration and deployment within organizations.

Can I learn DevOps in 3 months?

Learning DevOps in three months is possible for foundational skills such as version control, CI/CD pipelines, and basic cloud concepts, especially with intensive study and hands-on practice. However, mastering advanced topics like automation, containerization, and infrastructure management typically requires longer experience and continuous learning.

What is the difference between Devops Training vs Cloud Engineer?

AspectDevops TrainingCloud Engineer
CertificationsTypically includes certifications like Docker, Jenkins, KubernetesIncludes cloud platform certifications like AWS, Azure, GCP
Work EnvironmentFocuses on automation, CI/CD pipelines, and collaboration toolsFocuses on cloud infrastructure, deployment, and management
Industry UsageUsed across IT, software development, and operations teamsPrimarily in cloud service providers and organizations adopting cloud solutions

Devops Training and Cloud Engineer roles share overlapping skills in automation and cloud concepts, but Devops Training prepares individuals for automation and integration tasks, while Cloud Engineers focus on managing cloud infrastructure. Both roles are vital in modern IT environments and often work together to optimize deployment and operations.

What are popular job titles related to Devops Training jobs in Arizona? For Devops Training jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Devops Training jobs in Arizona look for? The top searched job categories for Devops Training jobs in Arizona are:
What cities in Arizona are hiring for Devops Training jobs? Cities in Arizona with the most Devops Training job openings:
Devops Training jobs near you
Senior Systems Administrator - AI/ML DevOps

Senior Systems Administrator - AI/ML DevOps

Column Technical Services

Scottsdale, AZ

$86K - $117K/yr

Full-time

Posted 8 days ago

Job description

Column Technical Services is seeking a highly skilled Senior Systems Administrator - AI/ML DevOps to architect, support, and evolve the infrastructure powering our cutting-edge Artificial Intelligence and Machine Learning initiatives in a secure, classified environment based in Scottsdale, AZ. In this role, you'll be at the forefront of innovation, driving reliable model development and deployment by optimizing pipelines, maximizing compute performance, and ensuring robust scalability and security across platforms. This is a unique opportunity to work with advanced technologies while making a direct impact on mission-critical systems. If you're passionate about AI infrastructure, thrive in high-performance environments, and are ready to take on meaningful, complex challenges, we encourage you to apply.

Sponsorship is not available for this role. Candidates must currently reside in or near Scottsdale, Arizona and must hold an active DOD TS/SCI with Polygraph clearance. 

In this position, you will work closely with data scientists and machine learning engineers to enable seamless transitions from experimentation to production.

Core Responsibilities
  • Architect, deploy, and support scalable environments for AI/ML training and inference workloads
  • Build and maintain automated CI/CD workflows for machine learning models and AI-driven applications
  • Administer and fine-tune Linux-based systems across physical and virtual infrastructures
  • Implement and manage containerized environments using tools such as Docker and Kubernetes to support scalable ML services
  • Utilize Infrastructure as Code (IaC) solutions (e.g., Terraform, Ansible) to automate provisioning, configuration, and system management
  • Optimize allocation and usage of GPU resources for compute-intensive workloads
  • Establish monitoring, logging, and alerting frameworks to ensure system health, availability, and performance
  • Partner with engineering teams to troubleshoot issues, improve workflows, and meet infrastructure requirements
Additional Responsibilities
As a senior-level contributor, you will serve as a key technical point of contact, supporting users and participating in system design and evolution efforts to align with emerging technologies. You will:
  • Install, configure, and maintain software and system components
  • Diagnose and resolve technical issues, including access control and permissions
  • Provide guidance and training to users on system functionality
  • Manage daily operations of server environments across both physical and virtual platforms
  • Configure, maintain, and troubleshoot hardware, operating systems, and network interfaces
  • Investigate and resolve system alerts, ensuring continuity of services
  • Develop scripts to streamline and automate repetitive operational tasks
  • Collaborate directly with stakeholders to identify, isolate, and resolve system-related issues impacting broader services
What Sets You Apart
  • A collaborative mindset with a strong commitment to team success and shared outcomes
  • Solid understanding of how systems, servers, and services interconnect within a broader IT ecosystem
  • Advanced expertise in supporting both physical and virtual server environments
  • Deep knowledge of access controls, permissions, and security practices to ensure appropriate and secure data access
  • A proactive approach to identifying opportunities to leverage AI for operational efficiency, continuous improvement, and innovation
What You'll Experience
  • Work with advanced and often highly classified technologies
  • Be part of a forward-thinking team focused on innovation and exploration
  • Continuous learning opportunities aligned with emerging advancements

Qualifications
  • Minimum of 8 years of relevant experience OR a Master's degree with 6+ years of experience
  • Bachelor's degree in Computer Science, a related discipline, or equivalent experience 
  • Deep expertise in server-based operating systems
  • Strong proficiency in Linux OS environments, containerization, and AI/ML infrastructure
  • Hands-on experience with Docker, and Kubernetes, along with a strong background in AI and DevOps environments.
  • Proven ability to serve as a subject matter expert and mentor team members
  • Advanced troubleshooting skills across operating systems, networking, and storage technologies
  • Hands-on experience building, deploying, and maintaining enterprise-scale server environments
  • Exposure to or experience working with AI/ML workloads is highly desirable
  • Willingness to travel occasionally
Education:Bachelors of ScienceEmployment Type: FULL_TIME

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