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Remote Devops Jobs in Missouri (NOW HIRING)

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data ...

Kohl's

$53.75 - $70.25/hr

The engineer will lead technical delivery for firewalls, remote access, SASE, network segmentation ... Lead lifecycle management, upgrades, capacity planning, resiliency testing, and operational ...

Kohl's

$95K - $131K/yr

Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving ...

Steris Corporation

Director, Engineering (Remote)

MO · On-site +1

Position Summary As a member of the Consumables Operations Leadership Team, the Director ... Remote based role with up to 75% travel What You'll do as a Director, Engineering * Set priorities ...

The Timberline Group

Netsuite Developer

Saint Louis, MO · On-site +1

Remote, full-time employee opening within the U.S. for a talented NetSuite Developer. The Developer ... operation, and maintenance of the company's instance of NetSuite and integrated third-party ...

UMB Financial

Cloud Engineer

Kansas City, MO · Hybrid

$130K - $140K/yr

This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Technology & Operations ... AWS Solutions Architect Professional Certification, AWS DevOps Engineer Professional Certification ...

Jobgether

Build gameplay systems, UI, animations, VFX, audio features, and live-operations functionality ... Remote-first and flexible working environment. * Digital nomad-friendly culture. * Generous paid ...

Perficient, Inc.

Forward Deployed Engineer

Saint Louis, MO · Remote

$118K - $202K/yr

Deep understanding of SDLC, DevOps, cloud platforms (AWS/Azure/GCP), and AI/ML technologies (LLMs ... Remote * Assist with building and scaling Perficient's AI SDLC offering, creating, leading, and ...

Harris

(Remote) Senior Software Engineer

Louisiana, MO · Remote

$108K - $142K/yr

The developer is also expected to adopt approved AI-enabled development tools to improve analysis ... business operations through innovative, user-friendly solutions. In January 2024, MEDHOST was ...

Harris

(Remote) Senior Software Engineer

Louisiana, MO · Remote

$108K - $142K/yr

The developer is also expected to adopt approved AI-enabled development tools to improve analysis ... business operations through innovative, user-friendly solutions. In January 2024, MEDHOST was ...

Avtech solution

Azure Architect

Saint Louis, MO · Remote

$61.75 - $80.50/hr

... Remote Apps etc. Experience and understanding of security requirements for cloud like IAM, Web ... Microsoft certified Azure certifications (preferred) Experience in Azure automation and DevOps ...

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Remote Devops information

See Missouri salary details

$15

$56

$80

How much do remote devops jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote devops 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?

A Remote DevOps engineer is a professional who works from a remote location to manage and automate an organization's IT infrastructure, development, and deployment processes. Their main goal is to bridge the gap between software development and IT operations, ensuring that software can be released quickly, reliably, and efficiently. Remote DevOps engineers use tools like CI/CD pipelines, configuration management, and cloud platforms to streamline workflows and improve system reliability. They collaborate with development and operations teams using online communication and project management tools.

How do remote DevOps professionals typically collaborate with development and operations teams across different time zones?

Remote DevOps professionals often use a combination of collaboration tools such as Slack, Jira, and Zoom to stay connected with development and operations teams. They rely heavily on clear documentation, version control systems, and automated workflows to ensure smooth handoffs and consistent processes across time zones. Regular stand-up meetings, asynchronous communication, and shared dashboards help maintain alignment on priorities and progress, making it possible to address incidents and deploy updates efficiently despite geographical differences.

What is the difference between Remote Devops vs Remote Cloud Engineer?

AspectRemote DevopsRemote Cloud Engineer
Required CredentialsCertifications like AWS, Azure, Docker, KubernetesSame certifications, with focus on cloud platforms
Work EnvironmentCollaborates with development and operations teams, manages CI/CD pipelinesDesigns and implements cloud infrastructure, manages cloud resources
Employer & Industry UsageTech companies, startups, enterprises focusing on deployment automationCloud service providers, SaaS companies, organizations migrating to cloud

Remote Devops and Remote Cloud Engineer roles share many certifications and work environments, but Devops focuses on automation and deployment pipelines, while Cloud Engineers specialize in cloud infrastructure design and management. Both are in high demand across tech industries, often overlapping in skills and responsibilities.

Can you work as a remote DevOps?

Yes, many DevOps roles can be performed remotely, especially those focused on cloud infrastructure, automation, and software deployment. Remote DevOps positions often require strong skills in tools like Docker, Kubernetes, and CI/CD pipelines, along with good communication and collaboration abilities. However, some companies may prefer on-site presence for certain tasks or team coordination.

Is 40 too old to learn remote DevOps?

Age is not a barrier to learning or working as a remote DevOps engineer. Success depends on acquiring relevant skills such as scripting, cloud platforms, and automation tools, which can be learned at any age through online courses and hands-on practice.
More about Remote Devops jobs

What are the most commonly searched types of Devops jobs in Missouri?

The most popular types of Devops jobs in Missouri are:

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

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

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

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

What cities in Missouri are hiring for Remote Devops jobs?

Cities in Missouri with the most Remote Devops job openings:

Remote Devops jobs near you
Infographic showing various Remote Devops job openings in Missouri as of August 2026, with employment types broken down into 85% Full Time, 5% Part Time, and 10% Contract. Highlights an 73% Physical, 9% Hybrid, and 18% Remote job distribution, with an average salary of $118,102 per year, or $56.8 per hour.

Data Engineer - Multiple Positions

Koantek

Chesterfield, MO • Remote

$113K - $136K/yr

Contractor

Re-posted 9 days ago

Job description

Location: United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.

The impact you will have: Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications. Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation. Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.

Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority. Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation. Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements Minimum qualifications: Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Experience: 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP). Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects Develop scalable streaming and batch solutions using cloud-native components.

Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies. Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows. Technical Skills: Expert-level proficiency in Spark Scala, Python, and PySpark.

In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling. Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce. Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.

Databricks Specific Skills: Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP). Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration. Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.

Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities. Good to have Certifications: Certification in Databricks Engineering (Professional) Microsoft Certified: Azure Data Engineer Associate GCP Certified: Professional Google Cloud Certified. AWS Certified Solutions Architect Professional.

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