Top 101 Python developer Jobs in Utah

AI DevOps Engineer
Nice —Sandy, UT
- Azure
- System design
- AWS
6h
Sr Risk Systems Developer
Community Choice Financial Family of Brands —United States
- Full-time
- Computer science
- Azure
- Computer Science
- Paid training
- Health savings account
Senior Software Development Engineer
Capital Staffing Solutions —United States
- From $130,000 a year
- Full-time
- Computer science
- 7 years
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
3h

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Bachelor’s degree in Computer Science, Business Administration, or a related field, or equivalent experience. Lead the development of business, functional, and…
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Senior Software Development Engineer
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Bachelor’s in Computer Science, Computer Engineering, Electrical Engineering, or related field of study and (2) years of experience; Master’s degree in a…
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AI DevOps Engineer

Nice -
Sandy, UT

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Job Details

6 hours ago

Qualifications

Continuous Delivery (CD) implementation
Scalable systems
Microservices
Cloud Native Design
Scalability
Developing and maintaining backend systems
Cloud solution engineering
Distributed computing
DevOps automation

Full Job Description

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

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)

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Apply Now

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