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Ai Devops Engineer Jobs in Missouri (NOW HIRING)

Meridian Systematics

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 ...

GDIT

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 ...

Jobgether

$40.75 - $55.75/hr

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates ...

GRVTY

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.

GDIT

Jr DevOps Engineer

Saint Louis, MO · On-site

$51.25 - $70.25/hr

As a Jr. 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 ...

GRVTY

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.

GRVTY

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.

aqua IT

DevOps Engineer

Saint Louis, MO · On-site

$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.

Jobtailor

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 ...

Leidos

DevOps Engineer

Saint Louis, MO · On-site

$87K - $157K/yr

The Leidos Intel sector has an opening for a DevOps Engineer to assist with the development, integration, deployment, and sustainment of mission critical systems. Primary Responsibilities:

GDIT

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 ...

New

teKnoluxion

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 ...

London Stock Exchange Group

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 ...

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All JobsAi Devops Engineer JobsAi Devops Engineer Jobs in Missouri

Ai Devops Engineer information

See Missouri salary details

$15

$56

$80

How much do ai devops engineer jobs pay per hour?

As of Aug 10, 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:
Ai Devops Engineer jobs near you
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

Meridian Systematics

Saint Louis, MO • On-site

$93K - $175K/yr

Full-time

Posted 8 days ago

Job description

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 mission-critical Department of War and Intelligence Community programs by designing, deploying, automating, and sustaining secure cloud and on-premises infrastructure supporting enterprise applications and platform services. Working within Agile and DevSecOps environments, the DevOps Engineer develops and maintains CI/CD pipelines, containerized applications, Infrastructure as Code (IaC), and cloud-native solutions that improve system reliability, security, scalability, and operational readiness.
This position may be filled at the Junior, Mid-Level, or Senior level based on experience and demonstrated technical expertise.
Essential Duties and Responsibilities

  • Design, develop, automate, deploy, and maintain secure DevSecOps solutions supporting enterprise software applications and platform services.
  • Design, implement, and maintain CI/CD pipelines supporting automated application builds, testing, security scanning, and deployment across multiple development, test, staging, production, and multi-security enclave environments.
  • Architect, deploy, administer, and optimize cloud and on-premises infrastructure supporting enterprise applications, microservices, and platform services.
  • Develop, deploy, and manage containerized applications utilizing Docker, Kubernetes, OpenShift, Helm, and related container orchestration technologies.
  • Implement Infrastructure as Code (IaC) and configuration management solutions utilizing technologies such as Terraform, Ansible, CloudFormation, AWS CDK, Chef, or Puppet.
  • Configure and maintain GitLab CI/CD pipelines and other DevOps automation tools supporting continuous integration, continuous delivery, and secure software deployment.
  • Integrate enterprise authentication services, access controls, monitoring, logging, vulnerability management, and security compliance into DevSecOps workflows.
  • Monitor system performance, troubleshoot infrastructure and application issues, and optimize platform reliability, scalability, and operational efficiency.
  • Manage software revisions, configuration management, security patches, system hardening, and operational documentation.
  • Support Authority to Operate (ATO), Assessment and Authorization (A&A), RMF compliance, vulnerability remediation, and enterprise cybersecurity initiatives.
  • Collaborate with software developers, system administrators, cybersecurity teams, and government stakeholders to implement secure, scalable, and maintainable enterprise solutions.
  • Participate in Agile, Scrum, and SAFe ceremonies while supporting software delivery, operational readiness, and continuous process improvement.
  • Senior-level engineers may lead architecture decisions, mentor junior engineers, establish DevSecOps standards, and provide technical leadership across multiple projects.

Required Qualifications

  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance.
  • U.S. Citizenship.
  • Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related discipline; or equivalent combination of education and experience.
  • Junior: 2+ years of DevOps, Systems Administration, Cloud Engineering, or related experience.
  • Mid-Level: 5+ years of relevant experience supporting enterprise DevSecOps environments.
  • Senior: 8+ years of enterprise DevOps engineering experience with demonstrated technical leadership.
  • Experience supporting Linux-based environments.
  • Experience with containerization technologies including Docker, Kubernetes, OpenShift, and Helm.
  • Experience developing and maintaining CI/CD pipelines utilizing GitLab or comparable DevOps platforms.
  • Experience with Infrastructure as Code (Terraform, CloudFormation, AWS CDK, Ansible, Chef, Puppet, or equivalent).
  • Experience with Python, Bash, or Shell scripting.
  • Knowledge of networking concepts including TCP/IP, DNS, load balancers, firewalls, and enterprise infrastructure.
  • Experience supporting cloud and/or on-premises enterprise environments.
  • Strong understanding of DevSecOps methodologies, microservices architecture, configuration management, monitoring, logging, and secure software development.
  • Strong analytical, troubleshooting, communication, and documentation skills.
Preferred Qualifications

  • Experience supporting Intelligence Community or Department of War programs.
  • Experience with AWS cloud services.
  • Experience integrating security scanning, vulnerability management, and automated compliance into CI/CD pipelines.
  • Experience with SQL databases and enterprise application deployments.
  • Experience configuring authentication services, IAM, VPN, SSH, and enterprise access management.
  • Experience with Jira, Confluence, GitLab, Jenkins, or similar collaboration and DevOps tools.
  • Experience supporting Agile software development and SAFe methodologies.
  • Technical certifications such as Security+, Network+, Kubernetes, AWS, Red Hat OpenShift, Terraform, or other cloud and DevOps certifications.
  • Experience supporting NGA enterprise environments or similar classified mission systems.
Knowledge, Skills, and Abilities

  • Knowledge of DevSecOps principles, CI/CD automation, Infrastructure as Code, and cloud-native application development.
  • Knowledge of containerization, Kubernetes orchestration, OpenShift administration, Helm, and microservices architecture.
  • Knowledge of enterprise networking, monitoring, logging, cybersecurity, and secure software deployment practices.
  • Ability to automate complex deployment and operational processes across secure enterprise environments.
  • Ability to troubleshoot infrastructure, application, and deployment issues while maintaining operational continuity.
  • Ability to communicate effectively with software developers, system administrators, cybersecurity personnel, and government stakeholders.
  • Ability to work independently or as part of a cross-functional engineering team supporting mission-critical operations.
  • Senior-level engineers must demonstrate the ability to mentor technical staff, provide architectural guidance, and lead enterprise DevSecOps initiatives.