Job Description

Sr. DevOps 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/OpenSearch, 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.

DevOps & CI/CD Delivery :




- Partner closely with Solution Architects to translate project and system designs into concrete DevOps execution plans.
- Design, build, and maintain CI/CD pipelines (Jenkins, GitHub Actions or
- ArgoCD/Flux for GitOps) 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 (DevSecOps).

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, vLLM,
- 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 DevOps/SRE/

📌 DevOps Engineer (Mumbai)
🏢 Knowledgeworks Global
📍 Mumbai