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 strong 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