JOB PURPOSE (Overall Objective)The Cloud Engineer will play a critical role in building,maintaining, monitoring, optimizing, and troubleshooting Eternal Robotics' hybrid cloud infrastructure for Hypervise. The position focuses on ensuring seamless performance of AI-based video processing pipelines, reliable GCP service orchestration, and low-latency data movement between edge IPCs and the cloud backend.JOB PRINCIPAL ACCOUNTABILITIES and JOB CONTENTMonitor and maintain GCP infrastructure including Cloud Run, Cloud Functions, Cloud Scheduler, and Pub/Sub.Manage and optimize firestore databases, buckets, memory stores, and service logs.Set up and maintain CI/CD pipelines for real-time computer vision data ingestion and processing.Monitor CPU/GPU usage, network health, and latency issues across distributed infrastructure.Implement disaster recovery, backup, and load balancing strategies.Collaborate with full-stack, and CV teams for system health audits and root cause analysis.Automate infrastructure provisioning using Terraform or Deployment Manager.Configure IAM roles, OAuth, and service accounts for secure data exchange.Support edge-to-cloud communication pipelines (from IPC/Jetson Orin to GCP backend).Handle maintenance windows, patches, and real-time alerts (using tools like Cloud Monitoring, Stackdriver, etc).ORGANISATION CHART: CTO → Lead Cloud Architect → Cloud EngineerPERSON SPECIFICATIONKRAs : Stability of Hypervise cloud infrastructure.Uptime of AI pipelines and edge-cloud communication.Efficiency of deployment cycles and fixes.KPIs : 98% cloud service uptimeIncident resolution within 30% improvement in resource utilization on GCPQUALIFICATION, SKILLS & EXPERIENCE: Qualification: Bachelor’s or Master’s in Computer Science / Cloud Computing / Information Technology or related fields.Experience: 3+ years of hands-on experience in full stack software engineering and 1+ years of managing cloud infrastructure (preferably GCP) in production.Skills: GCP stack: Cloud Run, Firestore, Pub/Sub, Scheduler, IAM, Cloud MonitoringDocker, Kubernetes (GKE optional), TerraformBash/Python scripting for automationUnderstanding of networking, firewall rules, NAT, VPC peeringFamiliarity with Linux environments and NGINXNice to have: Worked on edge-AI setups (Jetson IPCs, RTSP ingestion)TECHNICAL SKILLS:GCP (Cloud Run, Firestore, IAM)-ExpertDevOps Tools (Docker, CI/CD, Monitoring)-AdvancedPython/Bash Scripting-AdvancedInfrastructure as Code (Terraform)-IntermediateEdge-Cloud Communication-IntermediateDIMENSIONS Number of projects: 2+ active projects annually.Impact: Cloud uptime and scalability of critical AI systemsInternal/ External Communications:InternalCTO, Project Leads, Full-Stack & CV Engineers, Deployment TeamsExternal GCP Support, Client Site Engineers (for debugging edge connections), 3rd party vendors (when needed)
Job Title
Cloud Architect (GCP)