Senior DevOps Engineer

Senior DevOps Engineer – (Client interview - Face to Face interview mandatory)

Location: Hyderabad

Exp: 7-10 yrs

AI usage and implementation knowledge as mandatory in current projects while screening profiles.

We are seeking a Senior DevOps Engineer with 7+ years of experience with strong hands-on expertise in AWS, Kubernetes, containerization, CI/CD automation, and cloud platform engineering. The candidate should have practical experience implementing DevOps solutions in their current/recent projects, including the use of AI for automation, development, monitoring, or operational improvements.

Mandatory Skills

• 7+ years of DevOps / Cloud Engineering experience
• Strong hands-on experience with AWS
• Strong experience with AWS EKS and/or ECS
• Hands-on experience with Docker and containerization
• Strong CI/CD pipeline development and implementation
• Mandatory hands-on experience with GitHub Actions
• Experience with Azure DevOps and CI/CD automation
• Strong scripting experience with PowerShell and/or Python
• Experience deploying and managing applications across AWS/Azure
• Experience with Windows Services and .NET workloads
• Understanding of cloud security and DevSecOps practices
• Experience with security/scanning tools such as Veracode
• Mandatory AI usage and implementation experience in current/recent projects — candidates should be able to explain how they have practically used AI/GenAI to improve development, automation, monitoring, troubleshooting, documentation, testing, or DevOps operations.

Key Responsibilities

• Design, implement, and maintain scalable and secure AWS cloud infrastructure.
• Build and optimize CI/CD pipelines using GitHub Actions and Azure DevOps.
• Deploy and manage containerized workloads using AWS ECS/EKS and Docker.
• Automate infrastructure, deployments, operational processes, and environment management.
• Implement DevSecOps practices, including security scanning and Veracode integration.
• Support AWS/Azure workloads, including Windows Services and .NET applications.
• Improve system reliability, scalability, monitoring, and deployment efficiency.
• Collaborate with development, security, and infrastructure teams to implement DevOps best practices.
• Identify opportunities to use AI/GenAI in DevOps workflows and implement practical AI-driven solutions.

Terraform can be considered a good-to-have but should NOT be a mandatory screening criterion.