DevOps with Claude

Siri InfoSolutions Inc
Cincinnati, OH, United States
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$110,000.0 - $130,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Computing Platforms JIRA Microsoft Azure Command-Line Interface Cloud Computing Software Quality Computer Programming Continuous Delivery Cursor (Graphical User Interface Elements) DevOps Github
+21 more
Automation of Marketing Ansible Software Engineering Software Vulnerability Management Datadog Scripting Enterprise Software Applications GitHub Copilot Large Language Models Multi-Agent Systems Reliability of Systems Generative AI Gitlab Infrastructure Automation Frameworks Deployment Automation Operational Systems Terraform Splunk Software Version Control Docker Servicenow

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., 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., Role: DevOps Engineer Location: Cincinnati, OH Work Type: Onsite Job Type: Contract Skill: Devops, Terraform or Ansible, Docker and Kubernetes, Iac Experience Required: 8&plu…

  • 3 days ago, Role: DevOps Engineer- Azure Location: Cincinnati, OH Fulltime Salary Range: $100,000-$120,000/Year Job Description The DevOps Engineer is responsible for developing, implem…
  • 30 days ago +

Requirements

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., 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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