DevOps Engineer with Claude

ClifyX; Kentucky; On-site; USD 90,000 - 130,000; Full time

Job summary

ClifyX is seeking a DevOps Engineer with Claude to design and run scalable DevOps platforms in a regulated environment. You will build automation across the SDLC, integrate AI-enabled workflows, and implement robust CI/CD pipelines with strong security posture.

You will collaborate on cloud-native solutions, tooling integration, and incident response automation while advancing engineering productivity and reliability in production systems.

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, 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.
• 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), 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.

Responsibilities

• Design, develop, implement, and maintain software engineering, DevOps, and automation platforms.
• Build and support agentic engineering harnesses that automate SDLC activities across development, testing, deployment, and support.
• Develop AI-enabled workflows that improve engineering productivity and software quality.
• Design, implement, and maintain CI/CD pipelines, environment provisioning, and infrastructure automation.
• Automate operational processes, incident management workflows, and vulnerability remediation.
• Develop solutions that aid with issue triage, root cause analysis, and production problem resolution.
• Integrate engineering platforms with source control, ticketing, monitoring, observability, and ops systems.
• Configure, monitor, and optimize application and platform performance.
• Ensure compliance with enterprise security, governance, and risk management requirements.
• Implement human-in-the-loop controls for AI-assisted development and operations.
• Promote adoption of modern engineering practices, automation frameworks, cloud technologies, and AI-enabled development.

Skills

CI/CD pipelines

Infrastructure automation

Cloud-native solutions

AI-assisted development

AI governance

Scripting & automation

Security & compliance awareness

Tools

Claude Code CLI

GitHub Copilot

Cursor

Cline

Aider

GitHub

Azure DevOps

Jira

Job description

Position Title: DevOps Engineer with Claude

Duration: Full time

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.

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.
• 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.