DevOps with Claude

Tata Consultancy Services; Cincinnati (OH); On-site; USD 110,000 - 130,000; Full time

Job summary

Tata Consultancy Services in Cincinnati, OH seeks a DevOps Engineer to design, implement, and operate software engineering platforms, DevOps capabilities, and automation solutions that boost delivery velocity and reliability.

The ideal candidate has hands-on experience with AI-assisted development tools (Claude Code CLI, GitHub Copilot, Cursor, Cline, Aider) and built agentic engineering harnesses that automate SDLC activities, including deployment, testing, and production support.

Qualifications

• Experience designing and implementing CI/CD pipelines and infrastructure automation.
• Hands-on with AI-assisted development tools such as Claude Code CLI, GitHub Copilot, Cursor, Cline, or Aider.
• Experience building agentic engineering harnesses that automate SDLC activities.
• Experience applying AI agents to development, testing, deployment, incident management, vulnerability remediation, and production support.
• Strong understanding of SDLC processes, testing, deployment methodologies, and production support.

Responsibilities

• Design, develop, implement, and maintain software engineering, DevOps, and automation platforms.
• Build and support agentic engineering harnesses automating SDLC activities (dev, test, deploy, operate).
• Develop AI-enabled workflows to improve productivity and software quality.
• Design and maintain CI/CD pipelines, environment provisioning, and infrastructure automation.
• Automate incident management, vulnerability remediation, and production support.
• Integrate platforms with source control, ticketing, monitoring, observability, and operations.
• Monitor and optimize application and platform performance while ensuring security and governance.

Skills

CI/CD pipelines

infrastructure automation

cloud-native solutions

AI-assisted development

AI governance

SDLC knowledge

strong programming

Tools

Claude Code CLI

GitHub Copilot

Cursor

Cline

Aider

Jira

Datadog

Splunk

Azure DevOps

GitHub

Job description

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.

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