AI-Driven DevOps Engineer (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

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.