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Devops Engineer Jobs in Edgewood, KY (NOW HIRING)

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$16

$59

$85

How much do devops engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for devops engineer in Edgewood, KY is $59.68, according to ZipRecruiter salary data. Most workers in this role earn between $50.00 and $68.51 per hour, depending on experience, location, and employer.

What is a DevOps engineer?

As a DevOps engineer, you collaborate with the IT development and operations teams to oversee the continuous integration of software applications throughout development, deployment, and infrastructure management. Your job duties include coding, scripting, testing, managing hardware and network configurations, logging, and performing health checks. You may be responsible for managing the automation processes between development and operations, and ensuring they work together for code releases. You may use a variety of DevOps tools like Nagios, Docker, and Git.

What are the key skills and qualifications needed to thrive as a DevOps engineer, and why are they important?

To thrive as a DevOps Engineer, you need a solid understanding of software development, IT operations, automation, and CI/CD practices, often supported by a degree in computer science or related fields. Familiarity with tools such as Jenkins, Docker, Kubernetes, AWS/Azure, and configuration management systems like Ansible or Chef is highly valued, along with relevant certifications (e.g., AWS Certified DevOps Engineer). Strong problem-solving abilities, collaboration, and effective communication are crucial soft skills for bridging development and operations teams. These skills and qualities are important for ensuring efficient software delivery, system reliability, and seamless collaboration across the software development lifecycle.

How do DevOps engineers typically collaborate with development and operations teams on a daily basis?

DevOps Engineers act as a bridge between development and operations teams by automating workflows, facilitating communication, and ensuring smooth software deployments. On a daily basis, they work closely with developers to integrate code changes, manage CI/CD pipelines, and troubleshoot build or deployment issues. They also collaborate with IT operations to monitor system performance, address infrastructure concerns, and implement security best practices. This collaborative approach helps ensure rapid delivery of reliable software while minimizing downtime.

Is DevOps still in demand in 2026?

DevOps engineers continue to be in high demand in 2026 due to the ongoing need for automation, continuous integration, and cloud infrastructure management. Skills in tools like Docker, Kubernetes, and cloud platforms such as AWS or Azure remain valuable for organizations seeking efficient software deployment and operations.

Is a DevOps engineer a high paying career?

DevOps engineers are generally considered to have high earning potential due to their specialized skills in automation, cloud platforms, and continuous integration. Salaries vary based on experience, location, and certifications, but the role is often among the higher-paying positions in the tech industry.
More about Devops Engineer jobs

What cities near Edgewood, KY are hiring for Devops Engineer jobs?

Cities near Edgewood, KY with the most Devops Engineer job openings:

Devops Engineer jobs near you
Infographic showing various Devops Engineer job openings in Edgewood, KY as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $124,139 per year, or $59.7 per hour.

MLOps Engineer : Cincinnati, OH Onsite : Contract

Tech Mirrors

Cincinnati, OH • On-site

$76 - $83/hr

Other

Posted yesterday

New

Job description

Job Role: MLOps Engineer

Job Location: Cincinnati, OH Onsite (5days/week)

Job Type: Contract

Pay Range: $55 –$60 /hour

MLOps Engineer with experience designing, deploying, automating, and monitoring machine learning solutions in production environments.

Skilled in bridging the gap between Data Science, Machine Learning, and DevOps by building scalable MLOps pipelines, implementing CI/CD processes, managing model lifecycle operations, and ensuring reliable model performance.

Proficient in Python, MLflow, Docker, Kubernetes, cloud platforms, and machine learning deployment frameworks.

Experienced in developing secure, automated, and scalable infrastructure that enables efficient delivery of AI and machine learning solutions.

Essential Skills: ML Engineer

Skills: Digital : Machine Learning

Experience Required: 8-10

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