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)