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Devops Engineer Remote Jobs in Missouri (NOW HIRING)

BAI

Software Engineer

Saint Louis, MO · On-site +1

$75K - $95K/yr

Background in DevOps practices and CI/CD pipeline implementation. * Experience in Agile/Scrum ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

Jobgether

$80K - $165K/yr

Working alongside full-stack, data, machine learning, and DevOps engineers, you will tackle challenging problems in a highly collaborative environment. As part of a small, high-performing team, your ...

Epiq

Software Engineer

Kansas City, MO · Remote

This role will also champion modern development practices and utilize Azure DevOps for agile ... LI-Remote The Compensation range for this role is 100,000 to 110,000 USD annually and may be ...

Epiq

AI Software Engineer

Kansas City, MO · Remote

This role will also champion modern development practices and utilize Azure DevOps for agile ... LI-Remote The Compensation range for this role is 120,000 to 160,000 USD annually and may be ...

BAI

Advanced Software Engineer

Saint Louis, MO · On-site +1

$85K - $115K/yr

Background in DevOps practices and CI/CD pipeline implementation. * Experience in Agile/Scrum ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

Jobgether

$140K - $220K/yr

... DevOps, SRE, or related disciplines, with demonstrated experience operating high-traffic ... Remote-first work environment across eligible locations in Europe, North America, and LATAM.

MasterCard

Director, Platform Engineering

O Fallon, MO · On-site +1

Required Qualifications 5-8+ years of experience in DevOps, platform engineering, cloud engineering, or infrastructure automation roles. Strong hands-on experience with Terraform, Ansible or Chef ...

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Devops Engineer Remote information

See Missouri salary details

$15

$56

$80

How much do devops engineer remote jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for devops engineer remote 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 is a remote DevOps engineer?

As a remote DevOps engineer, you help manage the development of software for use on a company network system. In this role, you work from home using the phone, email, video chat, or other methods of communication to stay in touch with other developers and users throughout the lifecycle of each product. You typically work with a team to ensure rapid and consistent development. This is a relatively new term, but in general, DevOps focuses on having operations and development engineers participate in a full-service lifecycle to help support end-users and ensure the software becomes the best possible product.

What is a remote DevOps engineer?

DevOps Engineers (Remote) are IT professionals who collaborate with development and operations teams to automate, streamline, and improve software development and deployment processes from remote locations. They focus on integrating code, managing infrastructure, monitoring systems, and ensuring continuous integration and delivery (CI/CD) pipelines are efficient and reliable. Working remotely, they use cloud-based tools and platforms to manage servers, deploy applications, and maintain high system reliability without being physically present in an office. Their role is crucial in accelerating development cycles, reducing errors, and ensuring seamless collaboration between dispersed teams.

How to become a remote DevOps engineer?

To become a remote DevOps engineer, you typically need at least a bachelor’s degree in software engineering, information technology, or computer science and relevant work experience. You must also have familiarity with coding and IT protocols, as well as knowledge of infrastructure code, agile workflow processes, and the various roles that software and IT play in the product life cycle. Because this is a work from home position, you need to have strong time management skills, the ability to work independently, and reliable internet and phone connection.

What are the key skills and qualifications needed to thrive as a remote DevOps engineer?

To thrive as a Remote DevOps Engineer, you need strong skills in software development, infrastructure management, automation, and a solid understanding of cloud platforms, often backed by a relevant degree or certifications like AWS Certified DevOps Engineer. Familiarity with tools such as Jenkins, Docker, Kubernetes, Terraform, and CI/CD pipelines is typically required. Excellent problem-solving, collaboration, and communication skills are crucial, especially when working remotely with distributed teams. These skills and qualities are essential for ensuring seamless deployment, system reliability, and effective teamwork in dynamic, cloud-based environments.

How does a remote DevOps engineer typically collaborate with development and IT teams?

As a remote DevOps Engineer, collaboration is often achieved through a mix of communication tools like Slack, Jira, and video conferencing platforms. You'll participate in regular stand-ups, planning meetings, and code reviews to stay aligned with both development and IT operations teams. Effective documentation and clear communication are essential, as you'll often troubleshoot issues or update CI/CD pipelines asynchronously. Remote DevOps Engineers also frequently use shared dashboards and monitoring tools to ensure transparency and rapid response to incidents.

Are Devops engineers still in demand?

Devops engineers remain in high demand due to the ongoing need for automation, continuous integration, and cloud infrastructure management. Organizations seek professionals skilled in tools like Docker, Kubernetes, and cloud platforms to improve deployment efficiency and reliability.

Can a Devops Engineer Remote work remotely?

Yes, many Devops Engineers can work remotely, as the role primarily involves managing infrastructure, automation, and cloud services that can be accessed online. Remote work is common in this field, especially with skills in tools like Docker, Kubernetes, and cloud platforms such as AWS or Azure. However, some positions may require on-site presence for collaboration or specific hardware access.

Is 40 too old to learn a Devops Engineer Remote?

Age is not a barrier to becoming a Devops Engineer. Many professionals successfully transition into Devops roles at various ages by gaining skills in automation, scripting, cloud platforms, and tools like Docker and Kubernetes, often through online courses and certifications. Employers value skills and experience over age, and continuous learning is common in the tech industry.
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Devops Engineer Remote jobs near you
Infographic showing various Devops Engineer Remote job openings in Missouri as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $118,102 per year, or $56.8 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Jefferson City, MO • Remote

Full-time

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply