GCP focused DevOps Platform Engineer to build and operate the cloud foundations that power RMNs advertising, data, and AIML platforms.
While we maintain a supporting AWS footprint, our primary investment is in GCP, with an emphasis on Kubernetes native infrastructure provisioning using Crossplane and GCP Config Connector.
You will build secure, scalable landing zones and platform abstractions that enable data and ML teams to move fast without sacrificing reliability or cost control.
Role Description: GCP Platform Engineering:
Design and automate GCP landing zones centered on GKE and data services (BigQuery, Cloud Storage, PubSub, Dataflow, Vertex AI).
Establish opinionated defaults for networking, IAM, observability, and security.
Infrastructure as Code (Kubernetes Native) Provision and manage GCP resources using Crossplane andor GCP Config Connector.
Expose cloud capabilities via Kubernetes APIs and GitOps workflows.
Use Terraform only to provision AWS EKS clusters.
AWS Multi Cloud Enablement
Operate and evolve AWS EKS environments.
Enable secure, reliable connectivity between AWS and GCP.
GitOps Delivery
Drive GitOps based deployments with ArgoCD.
Partner with CICD pipelines (GitHub Actions, Jenkins, etc.) to enable safe, automated delivery.
AIML Platform Support
Enable infrastructure for ML training, inference, and large scale data pipelines.
Optimize for performance, low latency data access, and cost efficiency.
Reliability Observability
Define SLOs and implement monitoring using Prometheus, Grafana, and GCP Cloud Monitoring.
Improve stability of data heavy and ML driven workloads.
Security Governance
Implement IAM guardrails, network controls, and security baselines across GCP and AWS.
Protect sensitive retail and advertising data by design.
Thanks & Regards
Mohit Saxena
Sr. IT Recruiter
Quantum World Technologies Inc.