Senior Google Cloud Engineer(Kubernetes, Terraform, GitOps, multi-cloud networking) || Remote role
Google Cloud Engineer(Kubernetes, Terraform, GitOps, multi-cloud networking)
Remote role
1-2 rounds of Interviews
Job Description
Key Responsibilities:
• Multi-Cloud Network Engineering: Design and implement high-bandwidth, low-latency connectivity between Azure and Google Cloud Platform using Direct Cloud-to-Cloud Interconnect and Site-to-Site VPN meshes to support synchronous data replication.
• Kubernetes Platform Management: Provision and manage Google Kubernetes Engine (GKE) and OpenShift clusters, ensuring optimized IP address strategies using VPC-native clusters and Class E (240.x) secondary ranges to prevent IP exhaustion.
• Infrastructure as Code (IaC) Development: Build and maintain modular Terraform and Terragrunt repositories to automate the deployment of Google Cloud Platform landing zones, networking, and datastores while enforcing corporate standards for logging and security.
• API Gateway Ingress & Governance: Configure and secure the API management layer (APIM, including APIM self-hosted) to handle cross-cloud traffic, ensuring sub-20-second global deployment cycles and consistent rate-limiting across environments.
• Multi-Cloud Observability: Set up OpenTelemetry (OTEL) collectors to aggregate traces, metrics, and logs from Google Cloud Platform services and GKE clusters, exporting them to central backends like Honeycomb or Grafana Cloud.
• Security & Identity Federation: Implement Workload Identity Federation (OIDC) to establish trust between GitHub Actions and Google Cloud Platform IAM, replacing long-lived service account keys with short-lived, scoped tokens.
• Automated GitOps Pipelines: Manage the deployment of containerized .NET applications using ArgoCD to ensure the Google Cloud Platform environment remains in sync with the declarative source of truth in GitHub.
Required:
• Google Cloud Platform Core Infrastructure Expertise: Deep experience with Google Cloud networking (VPC, Cloud Interconnect, HA VPN), IAM, and project hierarchy management.
• IaC Mastery: Advanced skills in Terraform and Terragrunt for managing complex multi-environment state and cross-module dependencies.
• CI/CD & GitOps Experience: Hands-on experience with GitHub Actions for build pipelines and ArgoCD for continuous deployment to Kubernetes.
• Database & Messaging Knowledge: Familiarity with Cloud SQL (SQL Server engine) and managed Kafka platforms like Confluent Cloud, including Cluster and Schema Linking.
• Observability Implementation: Proven ability to instrument applications and infrastructure with OpenTelemetry and configure collectors for multi-cloud visibility.
• OpenShift Proficiency: Experience with Red Hat OpenShift (OCP/OSD), particularly in managing OVN-Kubernetes and EgressIP for hybrid connectivity.
Nice to Haves:
• Azure Integration Knowledge: Familiarity with Azure core services (ExpressRoute, Entra ID, Azure SQL) to better facilitate "Primary-Peer" management models and cross-cloud troubleshooting.
• High-Cardinality Analysis Tools: Familiarity with Honeycomb or Observe for advanced ad-hoc exploratory querying and root cause analysis.
--
(“Believe you can and you’re halfway there.”)
– Theodore Roosevelt
Sayantan Das | Senior Tech Recruiter
E:
P: +1 |
Apply tot his job
Apply To this Job
Remote role
1-2 rounds of Interviews
Job Description
Key Responsibilities:
• Multi-Cloud Network Engineering: Design and implement high-bandwidth, low-latency connectivity between Azure and Google Cloud Platform using Direct Cloud-to-Cloud Interconnect and Site-to-Site VPN meshes to support synchronous data replication.
• Kubernetes Platform Management: Provision and manage Google Kubernetes Engine (GKE) and OpenShift clusters, ensuring optimized IP address strategies using VPC-native clusters and Class E (240.x) secondary ranges to prevent IP exhaustion.
• Infrastructure as Code (IaC) Development: Build and maintain modular Terraform and Terragrunt repositories to automate the deployment of Google Cloud Platform landing zones, networking, and datastores while enforcing corporate standards for logging and security.
• API Gateway Ingress & Governance: Configure and secure the API management layer (APIM, including APIM self-hosted) to handle cross-cloud traffic, ensuring sub-20-second global deployment cycles and consistent rate-limiting across environments.
• Multi-Cloud Observability: Set up OpenTelemetry (OTEL) collectors to aggregate traces, metrics, and logs from Google Cloud Platform services and GKE clusters, exporting them to central backends like Honeycomb or Grafana Cloud.
• Security & Identity Federation: Implement Workload Identity Federation (OIDC) to establish trust between GitHub Actions and Google Cloud Platform IAM, replacing long-lived service account keys with short-lived, scoped tokens.
• Automated GitOps Pipelines: Manage the deployment of containerized .NET applications using ArgoCD to ensure the Google Cloud Platform environment remains in sync with the declarative source of truth in GitHub.
Required:
• Google Cloud Platform Core Infrastructure Expertise: Deep experience with Google Cloud networking (VPC, Cloud Interconnect, HA VPN), IAM, and project hierarchy management.
• IaC Mastery: Advanced skills in Terraform and Terragrunt for managing complex multi-environment state and cross-module dependencies.
• CI/CD & GitOps Experience: Hands-on experience with GitHub Actions for build pipelines and ArgoCD for continuous deployment to Kubernetes.
• Database & Messaging Knowledge: Familiarity with Cloud SQL (SQL Server engine) and managed Kafka platforms like Confluent Cloud, including Cluster and Schema Linking.
• Observability Implementation: Proven ability to instrument applications and infrastructure with OpenTelemetry and configure collectors for multi-cloud visibility.
• OpenShift Proficiency: Experience with Red Hat OpenShift (OCP/OSD), particularly in managing OVN-Kubernetes and EgressIP for hybrid connectivity.
Nice to Haves:
• Azure Integration Knowledge: Familiarity with Azure core services (ExpressRoute, Entra ID, Azure SQL) to better facilitate "Primary-Peer" management models and cross-cloud troubleshooting.
• High-Cardinality Analysis Tools: Familiarity with Honeycomb or Observe for advanced ad-hoc exploratory querying and root cause analysis.
--
(“Believe you can and you’re halfway there.”)
– Theodore Roosevelt
Sayantan Das | Senior Tech Recruiter
E:
P: +1 |
Apply tot his job
Apply To this Job