DevOps with Claude-6
REALIGN LLC
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Benefits offered by this job
Job summary
REALIGN LLC in Cincinnati, OH seeks a DevOps Engineer with Claude expertise to design and operate AI-enabled platforms. You will implement CI/CD pipelines, automation, and intelligent workflows to improve delivery velocity and reliability.
The role emphasizes integrating AI governance, security, and risk management while advancing automation across development, testing, deployment, and incident response. 8+ years of experience preferred.
Qualifications
- Experience designing and implementing CI/CD pipelines and cloud-native solutions.
- Hands-on with AI-assisted development tools such as Claude Code CLI, GitHub Copilot, Cursor, Cline, Aider.
- Experience building agentic workflows, AI orchestration frameworks, engineering automation platforms.
- Strong SDLC understanding, testing, deployment, and production support.
- Experience integrating platforms with GitHub, GitLab, Azure DevOps, Jira, ServiceNow, Datadog, or Splunk.
- Experience in banking/financial services or other highly regulated industries.
Responsibilities
- Design, develop, implement, and maintain software engineering, DevOps, and automation platforms.
- Build and support agentic engineering harnesses that automate lifecycle activities.
- Develop AI-enabled workflows to boost productivity and quality.
- Design, implement, and maintain CI/CD pipelines and infrastructure automation.
- Automate incident management, vulnerability remediation, and production support.
- Create solutions for issue triage, root cause analysis, and problem resolution.
- Integrate platforms with source control, ticketing, monitoring, and observability tools.
- Monitor and optimize application and platform performance.
- Ensure compliance with security, governance, and risk management requirements.
- Implement human-in-the-loop controls for AI-assisted processes.
- Promote modern engineering practices and AI-enabled development capabilities.
Skills
Tools
Job description
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.
- 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.
- 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.
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.
- 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.
- 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.
- DevOps Engineer
- DevOps Security Engineer
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