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Ai Developer Operations Engineer Jobs in Orem, UT

Security Operations Engineer

Lehi, UT · On-site

$120K - $180K/yr

Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI ... You will partner with DevOps to automate the identification and remediation of exposed credentials ...

Visa Sponsorship: This AI Engineer position is currently not eligible for employment visa ... DevOps tools, cloud computing platforms, and microservices architecture. A combination of ...

Visa Sponsorship: This AI Engineer position is currently not eligible for employment visa ... DevOps tools, cloud computing platforms, and microservices architecture. A combination of ...

Visa Sponsorship: This AI Engineer position is currently not eligible for employment visa ... DevOps tools, cloud computing platforms, and microservices architecture. A combination of ...

You will partner with DevOps to automate the identification and remediation of exposed credentials, moving security "left" from code to cloud. * Architect Detection, Deception, & Automation: Build ...

Remote Operations Engineer

Sandy, UT · On-site +1

$66K - $89K/yr

United States - UT - Sandy Remote Operations Engineer Full-Time, Permanent Sandy, UT (In-person) Graymont currently has an opening for the position of Remote Operations Engineer in the Sandy, Utah ...

Remote Operations Engineer

Sandy, UT · Remote

$66K - $89K/yr

Remote Operations Engineer Function Technical Services incls. Engineering/geology/mining/remote ops/central lab Location United States - UT - Sandy Classification Salaried

DevOps / Cloud Native Engineer

American Fork, UT · On-site

$47.25 - $64.50/hr

Title: DevOps / Cloud Native Engineer Location American Fork UT Experience with any Container Orchestration/Docker (Docker or Kubernetes or Swarm or Mesos or cloud foundry, etc.) is mandatory ...

DevOps / Cloud Native Engineer

American Fork, UT · On-site

$47.25 - $64.50/hr

Title: DevOps / Cloud Native Engineer Location American Fork UT Experience with any Container Orchestration/Docker (Docker or Kubernetes or Swarm or Mesos or cloud foundry, etc.) is mandatory ...

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure * Databases: SQL, NoSQL, Vector, Time Series, Graph * Transformers, LLMs, Knowledge Graphs

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure * Databases: SQL, NoSQL, Vector, Time Series, Graph * Transformers, LLMs, Knowledge Graphs

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure * Databases: SQL, NoSQL, Vector, Time Series, Graph * Transformers, LLMs, Knowledge Graphs

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure * Databases: SQL, NoSQL, Vector, Time Series, Graph * Transformers, LLMs, Knowledge Graphs

Development Operations Engineer - Hybrid

Lehi, UT · On-site

$49.50 - $67.75/hr

Experience with CI/CD and configuration management tools and technologies, including Azure DevOps, TeamCity, Jenkins etc. * Creative and innovative approach to problem-solving and passion for ...

Showing results 21-40

Ai Developer Operations Engineer information

See Orem, UT salary details

$31.3K

$73.9K

$117.4K

How much do ai developer operations engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ai developer operations engineer in Orem, UT is $73,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $81,700.00 per year, depending on experience, location, and employer.

What is the difference between Ai Developer Operations Engineer vs Data Scientist?

AspectAi Developer Operations EngineerData Scientist
Required credentialsBachelor's in CS, Engineering, or related; certifications in cloud or DevOpsBachelor's or higher in Statistics, Math, or CS; often with data analysis certifications
Work environmentDevOps teams, cloud platforms, AI model deploymentData analysis, modeling, research teams
Employer usageTech companies, AI startups, cloud providersResearch institutions, tech firms, finance, healthcare
Search intentAI deployment, operations, automationData analysis, insights, modeling

The Ai Developer Operations Engineer focuses on deploying, maintaining, and automating AI models in production environments, often working closely with DevOps teams. Data Scientists primarily analyze data, build models, and generate insights. While both roles require technical skills, the Operations Engineer emphasizes deployment and system integration, whereas Data Scientists focus on data analysis and modeling.

DevOps/ Platform Engineer

Midvale, UT

Login Consulting Services, Inc.
IT Services • 11 - 50 employees

$49.75 - $68.25/hr

Contractor

Re-posted 21 days ago


Job description

A leading Consulting Firm is seeking a DevOps & Platform Engineer for a 6 month contract to hire role based onsite in Salt Lake City, UT.
Job Description:
Are you passionate about building resilient, scalable platforms that power mission-critical applications. Do you enjoy solving complex technical challenges through automation, cloud technologies, and modern DevOps practices?
The client is seeking a DevOps & Platform Engineer to join our growing team in Salt Lake City, UT. In this role, you'll collaborate with software engineers, solution architects, infrastructure specialists, and client stakeholders to design, automate, and optimize enterprise platforms that enable secure, reliable, and scalable application delivery.
As a trusted technical consultant, you'll leverage cutting-edge technologies including Google Cloud Platform (GCP), Kubernetes, Neo4j Graph Database, Azure DevOps, Jenkins, Docker, Terraform, and Infrastructure as Code (IaC) to build modern platform solutions, automate deployment pipelines, and improve engineering productivity across enterprise environments.
You'll have the opportunity to solve meaningful business challenges, expand your technical expertise, and grow your career within a collaborative culture that values innovation, continuous improvement, and your unique perspective.
Location: This position is based onsite at a client location in the Salt Lake City, UT area.
If you're passionate about building scalable platforms, automating complex environments, and helping organizations deliver secure, reliable technology solutions, we'd love to hear from you.
Your future duties and responsibilities
How you'll make an impact
As a DevOps & Platform Engineer, you will play a key role in designing, automating, and supporting enterprise platforms that enable secure, reliable, and scalable software delivery

Working across development, infrastructure, and operations teams, you'll help establish best practices that improve deployment velocity, platform stability, and operational excellence.
You will:
Design, implement, and support enterprise DevOps platforms that improve software delivery, operational excellence, and engineering productivity
Administer and optimize enterprise Source Code Management (SCM) platforms, including Git repositories, branching strategies, version control, merge workflows, and release management
Design, deploy, administer, and optimize Neo4j Graph Database environments, including installation, upgrades, clustering, performance tuning, backup/recovery, monitoring, and production support
Develop and optimize graph data models, Cypher queries, indexes, and graph traversal strategies to support high-performance, relationship-driven enterprise applications
Build reusable platform services, automation frameworks, APIs, integrations, plug-ins, and microservices that streamline development and operational workflows
Design, implement, and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitLab CI/CD, or similar platforms to accelerate software delivery while maintaining security and quality
Deploy, manage, and support containerized applications using Docker, Kubernetes, Helm, and enterprise Kubernetes platforms such as OpenShift, Tanzu, Rancher (RKE), or equivalent
Implement cloud-native infrastructure on Google Cloud Platform (preferred) or AWS using Infrastructure as Code and DevOps automation best practices
Develop Infrastructure as Code (IaC) solutions using Terraform, Ansible, Puppet, Chef, or similar technologies to automate infrastructure provisioning and configuration management
Implement enterprise monitoring, logging, and observability solutions using technologies such as AppDynamics, Splunk, Prometheus, Grafana, ELK/OpenSearch, or similar platforms
Troubleshoot complex platform, application, infrastructure, and deployment issues while driving root cause analysis and continuous improvement
Create and maintain technical documentation, engineering standards, deployment procedures, and operational runbooks
Collaborate with software engineers, architects, infrastructure teams, and client stakeholders to deliver secure, scalable, and highly available platform solutions
Participate in Agile delivery ceremonies, technical design discussions, code reviews, and continuous improvement initiatives
Required qualifications to be successful in this role
What you'll bring
Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline
3+ years of experience in DevOps Engineering, Platform Engineering, Site Reliability Engineering (SRE), Infrastructure Engineering, Cloud Engineering, or a related role
Strong programming and scripting experience using one or more of the following:
Python
Java
TypeScript
JavaScript
Groovy
Bash
PowerShell
YAML
Ruby
Experience developing and supporting REST APIs, microservices, and modern build frameworks such as Maven and Gradle
Hands-on experience administering Neo4j Graph Database, including installation, upgrades, clustering, backup/recovery, performance tuning, and production support
Strong knowledge of Cypher Query Language, graph data modeling, query optimization, and graph database best practices
Advanced experience with Git and enterprise Source Code Management (SCM) best practices
Proven experience designing, implementing, and supporting CI/CD pipelines using Azure DevOps, Jenkins, GitLab, or comparable DevOps platforms
Experience deploying and managing containerized applications using Docker, Kubernetes, Helm, and enterprise Kubernetes platforms such as OpenShift, Tanzu, Rancher (RKE), or equivalent
Experience working with Google Cloud Platform (preferred) or AWS in cloud-native enterprise environments
Experience implementing Infrastructure as Code using Terraform, Ansible, Puppet, Chef, or comparable automation tools
Experience supporting both Linux and Windows server environments
Experience implementing monitoring, logging, and observability solutions using AppDynamics, Splunk, Prometheus, Grafana, ELK/OpenSearch, or similar technologies
Working knowledge of relational and NoSQL databases, including SQL Server, MySQL, MongoDB, and database migration/versioning tools such as Liquibase
Strong analytical, troubleshooting, communication, and collaboration skills
Experience working within Agile methodologies including
Scrum, Kanban, or SAFe
Desired Skills:
Google Cloud Professional, AWS, Kubernetes (CKA/CKAD), Terraform, or Azure DevOps certifications
Experience supporting highly available, mission-critical production environments
Familiarity with security automation, vulnerability management, and DevSecOps practices
Experience mentoring junior engineers and promoting DevOps best practices across engineering teams
Education:Employment Type: CONTRACTOR