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Cloud Infrastructure Specialist

2 weeks ago

Cochin, Kerala, India beBeeCloud Full time ₹ 1,80,00,000 - ₹ 2,10,00,000
Job Overview

We are seeking a skilled Cloud Infrastructure Specialist to lead our transition from an on-premises infrastructure to a scalable, secure, and cost-effective cloud environment.

Key Responsibilities:
  • Design end-to-end cloud-native architecture for a multi-tenant SaaS platform.
  • Define tenant isolation strategies (shared vs. dedicated databases, containers, or VPCs).
  • Architect/Recommend real-time client-agent communication layer using WebSocket, MQTT, or custom TCP protocols.
  • Experience in technologies like AWS Gateway, AWS APP Mesh etc.
  • Establish scalable telemetry ingestion and processing pipelines (Kafka, Kinesis, S3).
  • Plan the File storage scenarios and initiate the design for the same.
  • Drive implementation of CI/CD pipelines and Infrastructure as Code (IaC) practices using Terraform/CloudFormation.
  • Collaborate with agent developers to ensure secure and reliable connectivity from 1000s of endpoints per tenant.
  • Implement autoscaling, load balancing, cost management, and failover strategies.
Required Skills & Experience:
  • Cloud Platforms: Experience in Porting On-Premises to SAAS - Deep experience in AWS - Familiarity with key services: EC2, VPC, EKS/ECS, ELB, IAM, S3, CloudWatch, Route53, etc.
  • Infrastructure & DevOps: IaC: Terraform / Pulumi / CloudFormation - Containers & Orchestration: Docker, Kubernetes, Helm - CI/CD with GitHub Actions, Jenkins, ArgoCD, etc.
  • Security: TLS everywhere, Zero Trust principles - Knowledge of SOC 2, ISO 27001, GDPR compliance - Network segmentation, firewall policies, encryption, RBAC/ABAC.
  • Communication & Data Processing: WebSocket/MQTT communication patterns - Kafka, Kinesis, Redis Streams, or similar real-time ingestion systems.
  • Scalability & Reliability: Experience building platforms with large number of connected clients (100000+)- Load balancing, autoscaling, multi-region failover, rate limiting, etc.
Good to Have:
  • Experience working with teams in multiple time zones
  • Prior experience working in endpoint security / agent-based SaaS products
  • Exposure to data lake, big data processing, or machine learning pipelines
  • Familiarity with multi-region or hybrid deployments