Senior Devops Engineer

Naukri E Hire Campaign; Pune District, Chennai District, Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Optum is seeking an experienced DevOps engineer to lead IAM, cloud governance, and security practices across multi-cloud environments. You will design and implement automated pipelines, infrastructure as code, and continuous deployment strategies for scalable cloud workloads.

The role requires strong scripting skills, cloud security expertise, and hands-on experience with Terraform, Docker, and Kubernetes in Azure and AWS environments.

Qualifications

• Must have graduation degree.
• Proficient in DevOps practices and scripting.
• Strong knowledge of cloud security and governance.
• Experience with CI/CD pipelines and automation.
• Hands-on with Terraform, Docker, Kubernetes.

Responsibilities

• Identity and Access Management (IAM) responsibilities.
• Cloud policies and governance enforcement.
• Disaster recovery and business continuity planning.
• Manage Azure networking and security primitives.

Skills

Python

JavaScript

DevOps

CI/CD

GitHub Actions

Terraform

Docker

Kubernetes

Azure

AWS

Education

Graduation degree

Tools

CloudWatch

Grafana

Azure Monitor

Azure Key Vault

Job description

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