Job DescriptionSr. DevOps Engineer
NObservability Strategy (Web & AI Applications)
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Design and implement an end-to-end observability & alert stack covering both traditional web applications and AI/ML services. N
Develop and maintain tooling such as Prometheus, Grafana, ELK/OpenSearch, Datadog, or equivalent N
Build AI-specific observability: model latency/throughput tracking, GPU utilization, token usage, drift detection, and inference quality signals. N

nInfrastructure Scaling & Reliability:
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Design and manageinfrastructure capable of scaling across on-premise data centers and public cloud N
Own capacity planning, load testing, auto-scaling, and cost-optimization initiatives across compute, storage, and networking. N
Implement Infrastructure as Code (Terraform, Ansible, or equivalent) to ensure settings are reproducible, version-controlled, and auditable. N
Lead disaster recovery,backup, and high-availability strategy for critical systems. N

nDevOps & CI/CD Delivery :
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Partner closely with Solution Architects to translate project and system designs into concrete DevOps execution plans. N
Design, build, and maintain CI/CD pipelines (Jenkins, GitHub Actions or N
ArgoCD/Flux for GitOps)across multiple projects and teams. N
Containerize and orchestrate applications using Docker and Kubernetes, including Helm chart and manifest management. N
Embed security and compliance checks (SAST/DAST, secrets scanning, image scanning) directly into the delivery pipeline (DevSecOps). N

nGPU Infrastructure& Model Deployment
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Provision, configure, and manage GPU infrastructure (on-prem clusters and cloud GPU instances) for model N
Deploy, scale, and monitor ML/LLM models in production using tools such as Triton Inference Server, vLLM, N
Optimize GPU utilization, cost, and throughput across multi-tenant workloads;
manage CUDA/driver/toolkit N
Collaborate with data science/ML engineering teams on

📌 Hiring: Devops Engineer Alibag (India)
🏢 KnowledgeWorks Global
📍 India