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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Kubernetes MLOps Engineer - **Company:** OpenKyber LLC - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** .NET Framework, Microsoft Azure, Cloud Computing, Databases, Continuous Delivery, Continuous Integration, Github, Identity and Access Management, IP Addressing, Virtual Private Networks (VPN), Microsoft SQL Server, SQL Azure, OpenID, OpenShift, Data Logging, Network Switches, Google Cloud, Delivery Pipeline, Grafana, Multi-Cloud, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Kubernetes, Apache Kafka, Database Replication, Machine Learning Operations, Cloud Integration, Api Gateway, Terraform, Api Management, Confluent - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=55f5b2c9d63429a6 ## About the Role * 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. ## Description 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. ## Related Videos - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [MLOps on Kubernetes: Exploring Argo Workflows](https://www.wearedevelopers.com/videos/825-mlops-on-kubernetes-exploring-argo-workflows) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [CI/CD with Github Actions](https://www.wearedevelopers.com/videos/856-ci-cd-with-github-actions) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Learning Kubernetes made easy with KubeCampus](https://www.wearedevelopers.com/magazine/348-learning-kubernetes-made-easy-with-kubecampus) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)