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Devops Engineer Jobs in Erlanger, KY (NOW HIRING)

We're looking for a Senior DevOps Cloud/ IaC Engineer to join our ever-evolving DevOps Cloud & Automation team and help us unleash the potential of every business. Join our global DevOps Cloud ...

Azure DevOps Architect

Cincinnati, OH · On-site

$63.50 - $83.75/hr

I have an opportunity for " Azure DevOps Architect " _ (Cincinnati, OH - Day 1 Onsite )" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated ...

Join our global DevOps Cloud & Automationteam driving cloud transformation and CI/CD automation across the organization.You'llbuild andoperatescalable platforms, enable development teams, and ...

DevOps - CAMEO/MLOps

Burlington, KY

$48.75 - $67/hr

Deployment and management of engineering tools used throughout the system lifecycle (DOORS, CAMEO, Jira, SVN, among others). * Configuration and manteinance of continuous integration platforms and ...

Engineering & pipeline construction project management competencies including knowledge of UGI contracting & operations procedures, environmental & municipal permitting requirements, Right-of-Way ...

Maintains accurate records and files, while collaborating with modeling, operations, IT, and engineering teams to support integrated grid applications and data flows. * Supports the company's goals ...

Showing results 21-40

Devops Engineer information

See Erlanger, KY salary details

$16

$59

$85

How much do devops engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for devops engineer in Erlanger, 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.

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

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

Infographic showing various Devops Engineer job openings in Erlanger, 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.

$110K - $130K/yr

Full-time

Posted 16 days ago


Job description

DevOps with Claude
• The DevOps Engineer is responsible for the design, implementation, and operation of software engineering platforms, DevOps capabilities, and automation solutions that improve delivery velocity, operational efficiency, and system reliability.
• The ideal candidate possesses hands-on experience with AI-assisted development tools such as Claude Code CLI, GitHub Copilot, Cursor, Cline, Aider, or similar platforms, and has experience building agentic engineering harnesses that automate software development lifecycle activities. Experience applying AI agents to software development, testing, deployment, incident management, vulnerability remediation, and production support is highly desirable.
Key Responsibilities
• Design, develop, implement, and maintain software engineering, DevOps, and automation platforms.
• Build and support agentic engineering harnesses that automate software development lifecycle activities, including development, testing, deployment, and operational support.
• Develop AI-enabled workflows that improve engineering productivity, software quality, and operational efficiency.
• Design, implement, and maintain CI/CD pipelines, environment provisioning, and infrastructure automation capabilities.
• Automate operational processes, incident management workflows, vulnerability remediation, and production support functions.
• Develop solutions that assist with issue triage, root cause analysis, and production problem resolution.
• Integrate engineering platforms with source control, ticketing, monitoring, observability, and operational systems.
• Configure, maintain, monitor, and optimize application and platform performance.
• Ensure solutions comply with enterprise security, compliance, governance, and risk management requirements.
• Implement human-in-the-loop controls for AI-assisted development and operational processes.
• Promote adoption of modern engineering practices, automation frameworks, cloud technologies, and AI-enabled development capabilities.
Required Qualifications
• Experience designing and implementing CI/CD pipelines, infrastructure automation, and cloud-native solutions.
• Hands-on experience with AI-assisted development tools such as Claude Code CLI, GitHub Copilot, Cursor, Cline, Aider, or similar technologies.
• Experience building agentic workflows, AI orchestration frameworks, engineering automation platforms, or software development harnesses.
• Strong understanding of software development lifecycle processes, testing practices, deployment methodologies, and production support.
• Experience integrating development platforms with tools such as GitHub, GitLab, Azure DevOps, Jira, ServiceNow, Datadog, Splunk, or equivalent systems.
• Strong programming, scripting, and automation skills.
• Preferred Qualifications
• Experience within banking, payments, financial services, fintech, or other highly regulated industries.
• Knowledge of enterprise software governance, security, compliance, audit, and risk management practices.
• Experience with Large Language Models (LLMs), Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), agent-based architectures, and AI orchestration frameworks.
• Experience implementing AI governance, Responsible AI, or Model Risk Management controls.
• Experience automating incident response, production support, operational workflows, and vulnerability management.
Salary Range- $110,000-$130,000 a year
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