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Ai Devops Engineer Jobs in Missouri (NOW HIRING)

DEVOPS ENGINEER

Kansas City, MO · On-site

$51.50 - $70.50/hr

DevOps Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a DevOps Engineer Retail & E-Commerce to support cloud infrastructure and ...

New

DevOps Engineer

Saint Louis, MO · On-site

$93K - $175K/yr

DevOps Engineer (Junior, Mid-Level, Senior) Location: St. Louis, MO Clearance Required: Active Top Secret/Sensitive Compartmented Information (TS/SCI) Position Summary The DevOps Engineer supports ...

DevOps Engineer, Sr

Saint Louis, MO · On-site

$51.25 - $70.25/hr

As a DevOps Engineer, Sr. you will help ensure today is safe and tomorrow is smarter. Our work ... AI-powered career tool that identifies career steps and learning opportunities Support: An internal ...

DevOps Engineer

Saint Louis, MO · On-site

$51.25 - $70.25/hr

As a DevOps Engineer, Sr. you will help ensure today is safe and tomorrow is smarter. Our work depends on a TS/SCI cleared DevOps Engineer joining our team to support our intelligence customer in St.

DevOps Engineer

Saint Louis, MO · On-site

$51.25 - $70.25/hr

As a DevOps Engineer, Sr. you will help ensure today is safe and tomorrow is smarter. Our work depends on a TS/SCI cleared DevOps Engineer joining our team to support our intelligence customer in St.

DevOps Engineer

Saint Louis, MO

$51.25 - $70.25/hr

As a DevOps Engineer, Sr. you will help ensure today is safe and tomorrow is smarter. Our work depends on a TS/SCI cleared DevOps Engineer joining our team to support our intelligence customer in St.

DevOps Engineer

Saint Louis, MO

$51.25 - $70.25/hr

We have an opening for a Senior DevOps Engineer with strong networking experience to assist with the development, integration, deployment, and sustainment of mission critical systems.

DevOps Engineer

Saint Louis, MO · On-site

$50 - $68.50/hr

Senior DevOps Engineer Location: Springfield, VA or St. Louis, MO (Onsite) TS/SCI with CI poly required. Contract length: 3 year contract Job Summary: HOW A SENIOR DEVOPS ENGINEER WILL MAKE AN IMPACT ...

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Lead DevOps Engineer

California, MO · On-site

$150 - $210/hr

Leverage AI for platform health insights, cost optimization, and predictive capacity planning ... Requirements * 8+ years in DevOps / Platform Engineering * Strong hands‑on experience with ...

Devops Engineer

Saint Louis, MO · On-site

$51.25 - $70.25/hr

Position: Devops Engineer Duration: 12 Months Location: St. Louis, MO Experience in Configuration management tooling like Puppet, Chef, Ansible, SaltStack. Puppet absolutely preferred over others ...

Senior DevOps Engineer

Saint Louis, MO · On-site

$126K - $162K/yr

As a Senior DevOps Engineer you will help ensure today is safe and tomorrow is smarter. Our work ... AI-powered career tool that identifies career steps and learning opportunities Support: An internal ...

DevOps Engineer

Saint Louis, MO · On-site

$51.25 - $70.25/hr

We are hiring a DevOps Engineer to own the delivery pipeline and operational automation for LSEG's internal observability platform - a high-ownership role with direct impact on how the platform gets ...

DevOps Engineer

Saint Louis, MO · On-site

$49.50 - $67.75/hr

We are hiring a DevOps Engineer to own the delivery pipeline and operational automation for LSEG's internal observability platform - a high-ownership role with direct impact on how the platform gets ...

Junior DevOps Engineer

Saint Louis, MO · On-site

$51.25 - $70.25/hr

Overview Junior DevOps Engineer Springfield, VA OR St. Louis, MO Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly At Bcore, our strength comes from how we deliver impact to ...

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Ai Devops Engineer information

See Missouri salary details

$15

$56

$80

How much do ai devops engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ai devops engineer in Missouri is $56.78, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $65.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI DevOps engineer?

To thrive as an AI DevOps Engineer, you need expertise in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD systems, version control (e.g., Git), and cloud platforms (AWS, Azure, GCP), as well as certifications such as AWS Certified DevOps Engineer, are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and adapt to evolving project requirements. These competencies are essential to ensure robust, scalable, and efficient deployment of AI solutions in production environments.

What is an AI DevOps engineer?

AI DevOps Engineers are professionals who blend expertise in artificial intelligence (AI) and DevOps practices to streamline the development, deployment, and maintenance of AI-powered applications. They automate and manage the continuous integration and continuous deployment (CI/CD) pipelines for machine learning models, ensuring scalability, reliability, and efficiency in production environments. Their role also includes monitoring AI systems, managing model versions, and collaborating with data scientists, software engineers, and IT teams to bridge the gap between development and operations. This position is crucial for organizations looking to operationalize AI solutions at scale.

How does an AI DevOps engineer typically collaborate with data scientists and software engineers on AI projects?

An AI DevOps Engineer plays a crucial role in bridging the gap between data scientists and software engineers by streamlining the deployment and monitoring of AI models. They often work closely with data scientists to automate model training, testing, and deployment pipelines, ensuring that models move smoothly from development to production. Additionally, they collaborate with software engineers to integrate models into scalable applications, manage infrastructure, and set up monitoring systems to track performance and reliability. This role requires strong communication skills and a proactive approach to troubleshooting issues that arise in cross-functional teams.

What is the difference between Ai Devops Engineer vs Data Engineer?

AspectAi Devops EngineerData Engineer
Required CredentialsCertifications in cloud platforms, DevOps tools, AI/ML frameworksCertifications in data management, SQL, cloud platforms
Work EnvironmentCollaborates with AI/ML teams, DevOps, cloud infrastructureWorks with data pipelines, databases, big data tools
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, data-driven industries

Ai Devops Engineers focus on deploying and maintaining AI/ML models in production using DevOps practices, while Data Engineers build and manage data pipelines and infrastructure. Both roles require cloud and scripting skills but serve different stages of data and AI workflows.

What are popular job titles related to Ai Devops Engineer jobs in Missouri?

For Ai Devops Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Ai Devops Engineer jobs in Missouri look for?

The top searched job categories for Ai Devops Engineer jobs in Missouri are:

Infographic showing various Ai Devops Engineer job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,102 per year, or $56.8 per hour.

DEVOPS ENGINEER

AaraTechnologies Inc

Kansas City, MO • On-site

$51.50 - $70.50/hr

Other

Posted 2 days ago

New


Job description

DevOps Engineer Retail & E-Commerce (2-3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech Inc is seeking a DevOps Engineer Retail & E-Commerce to support cloud infrastructure and deployment pipelines for ecommerce platforms. This role assists with CI/CD pipelines, monitoring, and environment support. You will work with senior engineers in Agile teams. Ideal for early-career cloud professionals.

Key Responsibilities
  • Support AWS infrastructure
  • Assist with CI/CD pipelines
  • Monitor systems and logs
  • Support deployments and releases
  • Troubleshoot basic issues
  • Maintain operational documentation
  • Collaborate with development teams
Required Qualifications
  • 2-3 years of experience in DevOps or cloud support
  • Knowledge of AWS basics
  • Experience with Git
  • Understanding of CI/CD concepts
  • Linux fundamentals
  • Basic scripting knowledge
  • Strong problem-solving skills
Skills

AWS (EC2, S3, RDS, IAM), Cloud Fundamentals, DevOps Practices, CI/CD Pipelines, Git, Jenkins Basics, Docker Basics, Kubernetes Fundamentals, Linux, Shell Scripting, Python Basics, Application Deployment, Monitoring & Logging (CloudWatch), Incident Support, Release Management, Environment Management, Security Basics, Performance Monitoring, Documentation