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Ai Devops Engineer Jobs in Missouri (NOW HIRING)

Jobgether

$40.75 - $55.75/hr

Our partner is looking for a DevOps Engineer based in Netherlands. This role offers the opportunity ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

Jobgether

$40.75 - $55.75/hr

The DevOps Engineer will be responsible for designing, improving, and maintaining backend ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

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 ...

New

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

$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

$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.

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:

teKnoluxion

Junior DevOps Engineer

Saint Louis, MO

$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 1, 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, and why are they important?

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 are AI DevOps Engineers?

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 July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $118,102 per year, or $56.8 per hour.

DevOps Engineer

Jobgether

Remote

$40.75 - $55.75/hr

Full-time

Medical, PTO

Posted 21 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a DevOps Engineer based in Netherlands.

This role offers the opportunity to build and improve the infrastructure that powers globally distributed digital products.
You will work at the intersection of software engineering, cloud infrastructure, and developer experience, helping teams deliver reliable products faster.
The position focuses on designing automation solutions, improving deployment workflows, and maintaining scalable production environments.
You will contribute to internal platforms, infrastructure reliability, and operational efficiency within a remote-first international team.
This is an ideal opportunity for a DevOps professional who enjoys solving complex technical challenges and taking ownership of impactful projects.
You will collaborate with engineers across teams while working with modern technologies including Kubernetes, Go, Terraform, and CI/CD systems.

Accountabilities:

As a DevOps Engineer, you will design, develop, and maintain the tools and infrastructure that enable efficient software delivery. You will help improve platform reliability, automation, and developer productivity while supporting scalable engineering practices.

  • Design and develop internal services and tools using Go to support deployment automation and internal developer platforms.
  • Build, maintain, and optimize scalable CI/CD pipelines using GitLab CI/CD.
  • Improve and support Kubernetes-based production and pre-production environments.
  • Contribute to the development and evolution of internal deployment platforms and engineering workflows.
  • Optimize application environments, including staging and ephemeral environments, for performance, reliability, and cost efficiency.
  • Implement and maintain infrastructure-as-code solutions using Terraform and Ansible.
  • Enhance monitoring, logging, and alerting systems using tools such as Grafana, OpenSearch, and related observability platforms.
  • Support automation initiatives that reduce manual operational work and improve delivery speed.
  • Collaborate with engineering teams to improve developer experience and software delivery processes.
  • Take ownership of technical decisions, infrastructure improvements, and operational outcomes.
Requirements:

The ideal candidate will have strong DevOps or Platform Engineering experience, excellent automation skills, and the ability to work independently in a distributed environment.

  • 3-5+ years of experience in DevOps, Platform Engineering, or a similar infrastructure-focused role.
  • Strong Go (Golang) development skills with experience building production services, tools, or platform components.
  • Hands-on experience managing Kubernetes environments in production.
  • Strong knowledge of CI/CD practices and experience with GitLab CI/CD or similar tools.
  • Solid Linux administration skills and experience managing production systems.
  • Experience with Infrastructure as Code tools such as Terraform and Ansible.
  • Familiarity with observability solutions including Grafana, Prometheus, VictoriaMetrics, ELK, or OpenSearch.
  • Strong understanding of modern DevOps practices, cloud infrastructure, and software delivery lifecycles.
  • Ability to take ownership, make technical decisions, and drive improvements independently.
  • Strong collaboration skills and experience working with cross-functional, remote teams.
  • Fluent Russian communication skills and intermediate English proficiency (B1 or higher).
Benefits:
  • Fully remote, full-time work opportunity.
  • 28 calendar days of annual vacation.
  • 7 additional wellness days per year for personal needs and recovery.
  • Performance bonuses of up to $5,000 for successful employee referrals.
  • 50% reimbursement for professional training, conferences, and industry events.
  • Corporate discounts for English language courses.
  • Health benefits, including reimbursement support for medical insurance or healthcare expenses where applicable.
  • Workplace support, including equipment provision or reimbursement for home office and coworking expenses.
  • Access to a workplace setup budget of up to $1,000 gross every three years, depending on location.
  • Internal recognition and rewards program with opportunities to exchange bonuses for merchandise, team activities, and wellness benefits.
  • Opportunity to work with an international, remote-first team building impactful digital products.
How Jobgether works:
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, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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