Job Title:  Senior Consultant | DevOps | Mumbai | Engineering | Platform Development & Integration

We are hiring a GCP DevOps Engineer to embed security into the CI/CD pipeline, secure cloud/Kubernetes environments, automate security checks, and collaborate with development, security, and operations teams to ensure secure and reliable application delivery.

The engineer will be responsible for the entire runtime ecosystem including:

• GKE clusters across zones
• Microservices
• Pub/Sub integrations
• Databases (MongoDB, Firestore, Redis, MySQL)
• Load Balancing & Networking
• Logging, Monitoring, Autoscaling
• Secure CI/CD and Kubernetes governance

This resource will work with HDFC Bank for UAT/ production readiness, issue resolution, deployments, and performance optimization.

• Mandatory Certification Requirement
• Google Professional Cloud Engineer Certified

 OR

• Google Professional Cloud DevOps Engineer Certified
• (GKE specialization / equivalent Hands-on expertise is mandatory.)

1. Core Technical Skills (Must Have)

• AGoogle Kubernetes Engine (GKE)
• The candidate must have deep hands-on experience with:
• Creating & managing regional GKE clusters
• Multi-zone node pools (as per your architecture: Zone A, Zone B, Zone C)
• Autoscaling: HPA, VPA, Cluster Autoscaler
• Pod disruption budgets and node upgrades
• Internal and External Load Balancers
• Network policies, service mesh, ingress (NGINX/Envoy)
• Managing GPU-enabled and CPU-optimized workloads (for LLM/STT)
• Securing GKE cluster using IAM, Workload Identity, RBAC

B. Microservices Deployment and Candidate should understand:

•  GCP Core Services
•  Firestore / MongoDB
•  MySQL / StarRocks
•  Redis
•  GCS
•  Pub/Sub
•  Cloud Monitoring
•  Cloud Logging
•  IAM
•  VPC + Subnets + Firewall rules
• Candidate must handle:
• Database connectivity
• Secret rotation
• Backup & Restore
• High availability & DR
• Alert configuration for latency, error rates, pod crashes

Throughput optimization

 2. AI/ML Platform Integration Skills LLM .

• Deploy AI workloads in GKE
• Handle GPU/TPU (if needed)
• Optimize audio ? text ? LLM ? text ? audio cycle
• Integrate model endpoints
• Maintain performance SLAs for real-time AI inference

3. CI/CD & DevOps Skill:

• GitHUB
• Docker Image build & optimization
• Artifact Registry management
• Promotion of workloads across environments
• Blue/Green & Rolling Deployments
• Canary rollout using Istio/NGINX

4. Observability & Reliability Skills

• Candidate should be able to work with:
• Cloud Logging
• Cloud Monitoring
• Prometheus + Grafana
• APM tools

Responsibilities:

• Create dashboards for application.
• Set alerts (CPU, Memory, Pod restarts, WebSocket load, SIP event failures)
• Perform RCA for production issues
• Optimize auto-scaling for peak campaign loads

 5. Security & Compliance Skills

• Experience with enterprise environments (financial institutions preferred)
• IAM & Workload Identity
• Network security (VPC SC, firewall, private clusters)
• Secrets management (GCP Secret Manager)
• Image vulnerability scanning
• Zero-trust networking principles

6. Responsibilities (Detailed)

A. Cluster & Environment Management

• Maintain regional GKE setup for HDFC production workloads
• Configure node pools for STT/TTS/LLM microservices
• Manage scaling & resilience for AI workloads
• Ensure high availability across zones
• B. Deployment & Release Management
•  all GCP Deployment components visible in your architecture:

 B. Troubleshooting

• High CPU / OOM
• Pod crashes
• Latency in STT/LLM/TTS pipeline
• Telephony flow breakage
• WebSocket connectivity drops
• Microservices error spikes

C. Performance Optimization

• Low-latency speech pipeline tuning
• Efficient autoscaling for large call campaigns
• Pub/Sub throughput optimization
• Database query performance

7. Preferred Experience

• Experience with Voice AI Platforms
• Experience supporting large-scale BFSI workloads
• Background in real-time streaming systems
• Kubernetes troubleshooting expert-level skills

Exp: 6+ yrs

Location: Delhi and Mumbai