Senior Devops Engineer - AI Infrastructure
ConfidentialMumbai5 days ago
Job descriptionDesign, 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.
- Bachelor's / Master's degree in Computer Science, IT, or related fields
- Minimum 15+ 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)
Qualification and Experience :
Skills Required
Kubernetes, Terraform, Docker, Python, Aws, Azure
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Senior Ai Engineer • Mumbai
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