Senior DevOps / MLOps Architect
Asmadiya Technologies
5 - 10 years
Pune
Posted: 21/02/2026
Job Description
Company: Asmadiya Technologies Pvt. Ltd.
Location: Pune / Lucknow
Experience: 58 Years
About AsmadiyaAsmadiya Technologies is a fast-growing AI-first digital engineering company building enterprise platforms across BFSI, logistics, and manufacturing. Our product ecosystem includes GenAI governance platforms (Sentinel), backend platforms (Asmabase), AI automation frameworks, and cloud-native transformation programs for global clients.
We are looking for a hands-on DevOps/MLOps Architect who can design and scale hybrid infrastructure across cloud and on-premise environments.
You will architect and build secure, scalable, and compliant infrastructure supporting: - AI/ML and GenAI platforms - Kubernetes-first deployments - Hybrid cloud + on-premise BFSI environments - High-availability and disaster recovery systems
This is a high-impact role working directly with the Founder and enterprise clients.
Design hybrid infrastructure across AWS/Azure + on-premise data centers
Architect Kubernetes platforms (EKS/AKS/self-managed clusters)
Build reusable Terraform modules and GitOps workflows
Design MLOps pipelines for model deployment and governance
Implement observability stacks (Prometheus, Grafana, Loki, OpenTelemetry)
Define DR and high availability architecture
Implement zero-trust security patterns and secrets management
Enable AI platform deployments (LLM hosting, GPU scheduling)
Drive cost optimization and reliability engineering
Kubernetes architecture (multi-cluster, multi-region)
Strong Terraform experience
Hybrid networking (VPN, VPC peering, private connectivity)
Cloud expertise in AWS or Azure
CI/CD and GitOps (ArgoCD preferred)
Observability and SRE practices
Networking fundamentals (L4/L7, ingress, service mesh)
MLOps tools (Kubeflow, MLflow, KServe)
GenAI infra experience (LLM hosting, vector DBs)
GPU cluster scheduling
BFSI or regulated domain exposure
HashiCorp Vault or secrets management
Work on cutting-edge AI platforms
Architect systems used by enterprise clients
Direct exposure to leadership and strategy
High ownership and innovation-driven culture
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