This role is for one of the Weekday's clients

Salary range: Rs 4000000 - Rs 6000000 (ie INR 40-60 LPA

Min Experience: 7 years

Location: Bangalore

JobType: full-time

We are seeking a Senior DevOps Engineer to join our team and play a key role in building and deploying cutting-edge generative AI technologies. This role is essential in ensuring scalability, reliability, and security as we develop and optimize AI-driven applications. You will work at the intersection of AI, cloud infrastructure, and automation, streamlining workflows for high performance and seamless delivery.

Requirements

Key Responsibilities

• Design, build, and manage scalable, resilient cloud infrastructure to support AI-powered applications.
• Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or similar technologies.
• Develop and maintain CI/CD pipelines to ensure smooth and efficient software delivery across multiple environments.
• Optimize and monitor AI model deployment pipelines, ensuring low latency, high availability, and performance efficiency.
• Implement and maintain security best practices, ensuring compliance across cloud and on-prem environments.
• Collaborate with AI/ML engineers, software developers, and product teams to streamline workflows and enhance system efficiency.
• Manage and optimize containerized applications using Docker, Kubernetes, and Helm.
• Troubleshoot and resolve infrastructure issues, improving observability with monitoring/logging tools like Prometheus, Grafana, or ELK Stack.

What We’re Looking For

• 7+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles.
• Expertise in cloud platforms like AWS, GCP, or Azure, with hands-on experience in cloud architecture and automation.
• Strong proficiency in Kubernetes, Docker, and Helm for container orchestration and management.
• Experience working with CI/CD tools such as Jenkins, GitHub Actions, or ArgoCD.
• Proficiency in Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi.
• Strong scripting skills in Python, Bash, or Go for automation.
• Familiarity with MLOps practices, ML model deployment, and GPU-based cloud computing is a plus.
• Passion for AI-driven solutions and next-gen cloud architectures.