Seeking a Senior DevOps / AI Platform Engineer with expertise in cloud infrastructure, Kubernetes, DevOps, AI platform operations, and Site Reliability Engineering (SRE). The ideal candidate should have hands-on experience building secure, scalable, and highly available AI platforms across Azure, AWS, and GCP, with robust skills in Infrastructure as Code, CI/CD, DevSecOps, AI FinOps, and cloud cost optimization.Mandatory Skills
8–15+ years of DevOps/Platform Engineering experience
Azure, AWS &
Google Cloud Platform (GCP)
Kubernetes (AKS, GKE, EKS) &
Docker
Infrastructure as Code (Terraform, Bicep)
CI/CD (GitHub Actions, Azure DevOps, GitOps)
Site Reliability Engineering (SRE)
Monitoring &
Observability (Prometheus, Grafana, Azure Monitor, Cloud Monitoring, Datadog)
AI Platform Operations &
Model Health Monitoring
DevSecOps &
AI Governance
AI FinOps, GPU Optimization &
Cloud Cost Optimization
Identity &
Access Management (Entra ID / IAM)
Python, Go, Java,



or C#

Preferred Skills
Enterprise AI platform implementation
Production support for AI workloads
High Availability &
Disaster Recovery
Incident, Problem &
Change Management
Drift Detection &
Operational Dashboards
Knowledge transfer and mentoring
Hybrid Cloud &
Landing Zones

Valuable Profile Indicators
Experience managing enterprise AI platforms on Azure, AWS, or GCP
Solid Kubernetes administration (AKS, EKS, GKE)
Expertise in Terraform, Bicep, and GitOps
Hands-on with monitoring tools such as Prometheus, Grafana, and Datadog
Experience supporting production AI/ML workloads with defined SLAs
Proven background in cloud security, AI FinOps, automation, and disaster recovery

Pay: ₹2,000,000.00 - ₹2,500,000.00 per year

Work Location: In person

📌 Senior Devops / Ai Platform Engineer Pune
🏢 Mahi-Sys
📍 Pune