Senior DevOps Engineer

unitedhealthgroup

Chennai, India NM Years Exp Posted 2h ago

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

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)
Hub-Spoke 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: