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Cloud Architect - Bangalore

Firsthive
Posted on
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Experience
10 - 15 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Cloud Architect
Job Type
Not specified

Job Description

About the Role

We are looking for a Cloud Architect to lead our Cloud Infrastructure team and own the reliability, scalability, security, and cost optimization of our CDP platform across all client environments. You will be a hands-on technical leader who sets the architectural direction for cloud infrastructure while managing a small, high-impact team.

This is a leadership hire - you will report directly to the VP Engineering and be accountable for infrastructure that processes billions of customer events monthly for enterprise clients in regulated industries.

What You Will Do
  • Define and own the cloud architecture strategy across AWS, GCP and Azure
  • Manage and mentor a team of 2 DevOps engineers, growing the team as needed
  • Design and maintain infrastructure-as-code (Terraform, CloudFormation) for all environments - development, staging, production, and client-specific
  • Implement and manage CI/CD pipelines using GitLab CI/CD serving all engineering teams
  • Own the monitoring and observability stack - alerting, dashboards, incident response, and SLAs
  • Manage Kubernetes and container orchestration across all environments
  • Drive cloud cost optimization - target 20%+ annual reduction through RI planning, spot instances, right-sizing, and architectural improvements
  • Ensure security compliance - access management, encryption, audit trails for regulated industries
  • Design and maintain multi-tenant infrastructure for client isolation
  • Own disaster recovery, backup strategies, and business continuity planning
  • Own and operate Kafka clusters - broker management, topic configuration, consumer group monitoring, performance tuning, and scaling
  • Manage MongoDB infrastructure - replica sets, sharding, backup, performance optimization, and capacity planning
  • Manage storage infrastructure across both clouds - object storage, block storage, database storage, lifecycle policies, and cost optimization
  • Collaborate with data platform teams on analytical database infrastructure (Snowflake, BigQuery) and integration with streaming pipelines
  • Support client-facing engineers with environment provisioning, scaling, and performance troubleshooting
  • Provision compute resources for data science model training
What You Bring (Must-Have)
  • 10+ years in cloud infrastructure / DevOps, with 3+ years in an architect or lead role
  • Deep expertise in AWS (EC2, EKS, RDS, S3, Lambda, CloudWatch, IAM, VPC) and GCP (GCE, GKE, Cloud Storage, BigQuery, IAM)
  • Deep expertise in Kafka - cluster deployment, broker tuning, partition management, consumer lag monitoring, scaling strategies, and production troubleshooting
  • Deep expertise in MongoDB - replica set architecture, sharding, backup/restore, performance profiling, index optimization, and capacity planning
  • Deep expertise in Kubernetes - cluster lifecycle management, pod scheduling, resource limits, networking (Ingress, Service Mesh), RBAC, and troubleshooting production issues
  • Strong experience with storage architecture - object storage (S3, GCS), block storage (EBS, Persistent Disks), database storage optimization, lifecycle management, and cross-cloud storage strategies
  • Strong experience with CI/CD using GitLab - pipeline design, multi-environment deployments, artifact management, GitLab Runner management, and integration with Kubernetes
  • Infrastructure-as-code (Terraform preferred) - multi-cloud provisioning, state management, modular design
  • Monitoring and observability tools (Prometheus, Grafana, DataDog, or ELK stack)
  • Experience with cost optimization at scale - RI planning, spot/preemptible instances, right-sizing, architectural cost decisions across AWS and GCP
  • Security-first mindset - experience with compliance frameworks relevant to regulated industries
  • Experience managing and mentoring a team of 2-5 engineers
  • Strong communication skills - ability to work with data engineers, product engineers, and client-facing teams
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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