Sr. Dev Ops Engineer
Observability Strategy (Web & AI Applications)
Design and implement an end-to-end observability & alert stack covering both traditional web applications and AI/ML services. Develop and maintain tooling such as Prometheus, Grafana, ELK/Open Search, Datadog, or equivalent Build AI-specific observability: model latency/throughput tracking, GPU utilization, token usage, drift detection, and inference quality signals. Infrastructure Scaling & Reliability:
Design and manage infrastructure capable of scaling across on-premise data centers and public cloud Own capacity planning, load testing, auto-scaling, and cost-optimization initiatives across compute, storage, and networking. Implement Infrastructure as Code (Terraform, Ansible, or equivalent) to ensure environments are reproducible, version-controlled, and auditable. Lead disaster recovery, backup, and high-availability strategy for critical systems. Dev Ops & CI/CD Delivery :
Partner closely with Solution Architects to translate project and system designs into concrete Dev Ops execution plans. Design, build,



and maintain CI/CD pipelines (Jenkins, Git Hub Actions or Argo CD/Flux for Git Ops) across multiple projects and teams. Containerize and orchestrate applications using Docker and Kubernetes, including Helm chart and manifest management. Embed security and compliance checks (SAST/DAST, secrets scanning, image scanning) directly into the delivery pipeline (Dev Sec Ops). GPU Infrastructure & Model Deployment
Provision, configure, and manage GPU infrastructure (on-prem clusters and cloud GPU instances) for model Deploy, scale, and monitor ML/LLM models in production using tools such as Triton Inference Server, v LLM, Optimize GPU utilization, cost, and throughput across multi-tenant workloads; manage CUDA/driver/toolkit Collaborate with data science/ML engineering teams on MLOps pipelines — model versioning, experiment 5–10 years of hands-on Dev Ops/SRE/Infrastructure engineering experience, inclu

📌 Devops engineer (Maharashtra)
🏢 Knowledgeworks Global
📍 Maharashtra