ZipRecruiter

Log In

1

Senior Devops Engineer Jobs in Utah (NOW HIRING)

NICE

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

AI DevOps Engineer - Cloud AI Platforms At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand ...

NICE Systems

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

AI DevOps Engineer - Cloud AI Platforms At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand ...

University Of Utah

DevOps Engineer II

Salt Lake City, UT · On-site

$51 - $70/hr

The DevOps Engineer II works closely with application developers, security teams, and infrastructure stakeholders to translate operational requirements into software based solutions that manage the ...

New

Wipro Limited

DEVOPS ENGINEER L3

Redmond, UT · On-site

$45K - $121K/yr

Job Title: DEVOPS ENGINEER L3 City: Redmond State/Province: Washington Posting Start Date: 8/14/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

New

NICE

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

AI DevOps Engineer - Cloud AI Platforms At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand ...

previous pagenext page

Showing results 21-40

All JobsDevops Engineer JobsSenior Devops Engineer JobsSenior Devops Engineer Jobs in Utah

Senior Devops Engineer information

See Utah salary details

$64.6K

$134.9K

$179.3K

How much do senior devops engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior devops engineer in Utah is $134,883.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,300.00 and $152,000.00 per year, depending on experience, location, and employer.

What is a senior DevOps engineer?

Senior DevOps Engineers are experienced IT professionals who bridge the gap between software development and IT operations. They are responsible for automating processes, managing infrastructure, optimizing deployment pipelines, and ensuring system reliability and scalability. Their role often involves collaborating with developers, system administrators, and other stakeholders to streamline workflows, implement best practices, and enhance the speed and quality of software delivery. Senior DevOps Engineers typically have strong skills in cloud platforms, scripting, CI/CD tools, and monitoring solutions.

What are the key skills and qualifications needed to thrive as a senior DevOps engineer?

To thrive as a Senior DevOps Engineer, you need deep expertise in software development, systems administration, automation, and cloud infrastructure, typically supported by a relevant degree and several years of hands-on experience. Proficiency with tools such as Docker, Kubernetes, Jenkins, Terraform, AWS/Azure/GCP, and CI/CD pipelines, along with certifications like AWS Certified DevOps Engineer, is common. Strong problem-solving, collaboration, and communication skills are essential for coordinating across development and operations teams. These skills and qualities are crucial for ensuring reliable, scalable, and efficient delivery of software in complex, fast-paced environments.

What are some typical challenges senior DevOps engineers face when optimizing CI/CD pipelines, and how can they address them?

Senior DevOps Engineers often encounter challenges such as managing complex dependencies, ensuring pipeline reliability, and balancing speed with security. Addressing these issues involves implementing automated testing, using containerization tools like Docker to standardize environments, and collaborating closely with development and QA teams to quickly identify and resolve bottlenecks. Regularly reviewing and refining pipeline processes, as well as staying updated on the latest DevOps tools and best practices, can help maintain an efficient and secure deployment workflow.

What is the difference between Senior Devops Engineer vs Devops Engineer?

AspectSenior Devops EngineerDevops Engineer
Required CredentialsBachelor's degree in CS or related field, certifications like AWS, Azure, or DockerBachelor's degree in CS or related field, certifications like AWS, Docker, or Kubernetes
Work EnvironmentLead projects, mentor junior staff, design infrastructure solutionsImplement CI/CD pipelines, automate deployment, monitor systems
Employer & Industry UsageTech companies, startups, enterprises focusing on cloud and automationSame as Senior Devops Engineer, often entry to mid-level roles

The main difference between a Senior Devops Engineer and a Devops Engineer lies in experience, responsibilities, and leadership. Senior Devops Engineers typically lead projects, mentor teams, and design complex infrastructure, while Devops Engineers focus on implementing and maintaining automation and deployment pipelines. Both roles require similar certifications and are vital in cloud and automation environments.

Are senior DevOps engineers still in demand?

Senior DevOps engineers remain in high demand due to the ongoing need for automation, cloud infrastructure management, and continuous integration/continuous deployment (CI/CD) expertise. Organizations seek experienced professionals skilled in tools like Docker, Kubernetes, and cloud platforms to improve efficiency and scalability.

What does a senior DevOps engineer do?

A senior DevOps engineer is responsible for designing, implementing, and maintaining automated deployment, integration, and infrastructure processes to improve software development efficiency. They often work with tools like Jenkins, Docker, and Kubernetes, and collaborate with development and operations teams to ensure reliable, scalable, and secure systems. Additionally, they may oversee system monitoring, performance tuning, and security practices to support continuous delivery and deployment pipelines.

What are the most commonly searched types of Devops Engineer jobs in Utah?

The most popular types of Devops Engineer jobs in Utah are:

What are popular job titles related to Senior Devops Engineer jobs in Utah?

For Senior Devops Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Senior Devops Engineer jobs in Utah look for?

The top searched job categories for Senior Devops Engineer jobs in Utah are:

What cities in Utah are hiring for Senior Devops Engineer jobs?

Cities in Utah with the most Senior Devops Engineer job openings:

What are popular job titles related to Senior Devops Engineer jobs in UT?

For Senior Devops Engineer jobs in UT, the most frequently searched job titles are:

Senior Devops Engineer jobs near you
Infographic showing various Senior Devops Engineer job openings in Utah as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $134,883 per year, or $64.8 per hour.

AI DevOps Engineer

NICE

Sandy, UT • On-site

$50.25 - $68.75/hr

Full-time

Posted 14 days ago

Job description

AI DevOps Engineer - Cloud AI Platforms

At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you're excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.

 

What's the role all about?

As an AI DevOps Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.

 
 

How will you make an impact?

 Build and scale AI-driven workflows and automation systems
 Develop integrations with systems like monitoring platforms, ticketing tools, CI/CD pipelines, and cloud services
 Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
 Work on LLM integrations, Model training, PII redaction solutions,promptengineering, and orchestration layers
 Translate real-world operational problems into automated, intelligent solutions
 Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
 Improve system performance, reliability, and observability
 
 

Key Responsibilities

 Design and develop scalable backend systems for AI-powered platforms
 Build and maintain AI integrations, workflows, and automation pipelines
 Implement REST APIs, microservices, and event-driven architectures
 Work with both structured and unstructured data for AI use cases
 Contribute to CI/CD pipelines, testing, and deployment automation
 Troubleshoot and optimize production systems
 Collaborate with cross-functional teams to deliver high-quality solutions
 Contribute to reusable frameworks and engineering best practices
 
 

What we're looking for

 Strong experience in backend development (Typscript, C#, .NET, Python, RUST or similar)
 Experience building scalable, distributed systems in cloud environments
 Familiarity with APIs, microservices, and event-driven systems
 Exposure to AI/ML concepts, LLMs, or AI SDKs (hands-on preferred)
 Experience with AWS / Azure / GCP
 Working knowledge of CI/CD, Docker, Kubernetes
 Strong problem-solving and analytical skills
 Ability to work in a fast-paced, evolving environment
 
 

Nice to have

 Experience with LLM frameworks or prompt engineering
 Knowledge of observability tools (Grafana, Prometheus, etc.)
 Experience building automation or internal platforms
 Frontend exposure (React, JavaScript)

Apply