Job Title

Job Scope: The Senior DevOps Engineer will strategically oversee the DevOps practices, infrastructure management, and operational processes for two major projects—the AI No-Code Platform and AI Inferencing Platform. The role ensures robust, secure, scalable, and high-performance infrastructure aligning with organizational goals and industry best practices.Job Responsibilities: Design, deploy, and manage scalable infrastructure across cloud and hybrid environments (AWS, Azure, GCP, Yotta). Implement and maintain continuous integration and delivery (CI/CD) pipelines. Manage containerization and orchestration using Docker and Kubernetes. Ensure security, compliance, and vulnerability management (SOC2, GDPR, ISO27001). Oversee system monitoring, logging, alerting, and incident response. Optimize infrastructure performance and cost-efficiency. Implement disaster recovery, backup strategies, and business continuity planning. Manage cloud cost, budgeting, and forecasting. Mentor and provide leadership to DevOps and infrastructure team members. Collaborate cross-functionally with developers, QA, product management, and senior stakeholders. Document infrastructure architecture, configurations, processes, and maintain operational reporting.Good to have skills: Certifications in AWS, Azure, GCP, Kubernetes (CKA/CKAD). Experience in GPU-intensive workloads and AI/ML infrastructure. Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation. Familiarity with MLOps practices and AI model deployment.Qualification and Experience: Bachelor’s/master’s degree in computer science, IT, or related fields. Minimum 20+ years of experience in infrastructure management and DevOps. Extensive experience with cloud platforms, CI/CD tools, and Kubernetes. Proven experience in infrastructure security and compliance frameworks. Strong scripting and automation skills (Bash, Python, Ansible)