Senior Devops Engineer

Company - Optum

Exp - 9+yrs

Location - Pune, Bangalore, Hyderabad, Gurgaon, Chennai

Primary Responsibilities:

• Identity and Access Management (IAM)
• Cloud Policies & Governance
• Cloud Compliance & Governance
• Azure ARM/Bicep (Templates)
• Disaster Recovery
• Azure Firewall
• ExpressRoute / VPN Gateway
• Conditional Access / Zero Trust
• Microservices Reference Architecture
• Event-driven Architecture (EventGrid, ServiceBus)
• Vector DB & RAG Lifecycle Management
• Prompt/Chain Versioning & Evaluation
• Cost & Capacity Optimization for AI
• Shadow/Canary/A-B Model Deployment
• Model Supply Chain Security
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications - External

Required Qualifications:

• Must have graduations degree
• DevOpsProgramming & ScriptingShell Scripting
• Python
• JavaScript
• Security & DevSecOpsSecurity Fundamentals
• Cloud & Deployments - Security
• CI/CD & AutomationAutomation and CI/CD
• GitHub Actions
• Code Quality Scanning Tools
• Artifact Management
• Cloud Infrastructure & DeploymentsCloud Infrastructure Management
• Containerization & Orchestration (Docker, Kubernetes, EKS/AKS)
• Cloud Networking (AWS + Azure)
• Hybrid Cloud Integration (AWS + Azure)
• IaCTerraform
• Monitoring & ReliabilityMonitoring & Logging (CloudWatch, Grafana, Azure Monitor)
• Azure NetworkAzure Virtual Networks (VNets, subnets, peering)
• Application Gateway / WAF
• Network Security Groups (NSG) & ASG
• Azure SecurityAzure Security Center / Defender for Cloud
• Key Vault (Secrets, Certificates, KM)
• Azure Policies (Governance/Compliance)
• RBAC (Role-Based Access Control)
• Azure ArchitectureWell-Architected Framework (Reliability, Ops, Cost, Sec, Perf)
• Landing Zones (CAF)
• HubSpoke Architecture
• Scalability & HA Patterns (Autoscaling, Zonal setups)
• AI/MLOps & LLMOpsData Ingestion & Feature Pipelines
• Model Packaging & Versioning (Docker/ONNX/Registry)
• CI/CT/CD for ML (eval gates, data checks)
• ML Observability (drift, lineage, performance)
• Inference Infrastructure (GPU nodes, autoscaling, AKS/EKS)
• AI Security & Guardrails
• Responsible AI (Bias, fairness, audit trails)
• Dataset & Feature Governance
• Secrets/KMS for AI Systems
• Retraining & Rollback Strategy
• AI Telemetry & Tracing (token/cost/latency metrics)

Preferred Qualifications:

• Threat Modeling
• Serverless (Lambda, Azure Functions)
• Azure Front Door (Global Load Balancing)
• Just-in-Time Access (JIT)
• LLM Tooling & Safety Integrations
• Edge/Hybrid AI Deployments
• Serverless AI Patterns

User Responsibilities:
Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive