DevOps Engineer

Job Description

The selected DevOps Engineer will join a world-class engineering team responsible for designing, automating, and scaling the infrastructure, systems, and services that support KLAs software products and development ecosystem. This individual will play a key role in driving automation, infrastructure modernization, and CI/CD excellence while enabling engineering teams to deliver software safely, reliably, and efficiently at scale.

The ideal candidate will possess strong expertise in AI Agents / Agentic AI Frameworks for DevOps practices/process, Infrastructure as Code (IaC), cloud technologies, container orchestration, and automation. They will collaborate with cross-functional teams to implement scalable solutions, improve platform reliability, and establish engineering best practices across the software delivery lifecycle.

Responsibilities

• Design, build, and maintain scalable CI/CD pipelines using tools such as Jenkins, GitHub Actions, Azure DevOps, or similar platforms.
• Integrate AI capabilities into CI/CD pipelines for intelligent code review, deployment validation, root cause analysis and change impact assessment.
• Build and maintain knowledge repositories, AI skills, prompts, and contextual data sources that improve the effectiveness of AI systems across the software development lifecycle.
• Architect and manage cloud infrastructure using AWS, Azure, or Google Cloud Platform (GCP), leveraging Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.
• Deploy, operate, and optimize containerized applications using Docker, Kubernetes, and Helm.
• Automate operational and deployment processes using Python, Bash, PowerShell, or similar scripting languages.
• Collaborate with software development, quality engineering, and infrastructure teams to accelerate software delivery and improve operational efficiency.
• Participate in incident response, root cause analysis, and continuous improvement initiatives.
• Evaluate and implement modern DevOps solutions to enhance developer productivity and platform performance.
• Contribute to architecture discussions, platform standardization, and engineering excellence initiatives across global teams.

Minimum Qualifications

• Masters Degree in Computer Science, Engineering, Information Technology, or a related field with 2-3 Hands-on experience with AI Agents / Agentic AI Frameworks for DevOps practices/processes

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.