Cloud Engineer

We are seeking an experienced Cloud Engineering Software Engineer to join the Connected Vehicle Platform team. This role focuses on designing, building, and operating scalable, cloud-native infrastructure that supports over 26M connected vehicles globally. The ideal candidate will have strong expertise in Kubernetes, multi-cloud environments (AWS/GCP), Infrastructure as Code, automation, and platform engineering, with a focus on reliability, scalability, and cost optimization. Responsibilities Design and build cloud-native platform solutions enabling automated, repeatable shard provisioning Develop control plane tooling to provision production-ready shards within 24 hours with zero manual intervention Build and maintain Infrastructure as Code (IaC) using Terraform for multi-cloud environments (AWS & GCP) Implement and manage GitOps workflows using tools like Atlantis or similar Provision, manage, and optimize Kubernetes clusters (EKS, GKE) Develop and maintain Helm charts for multi-environment and multi-shard deployments Configure and operate Istio service mesh including traffic management, mTLS, and observability Build and operate GCP-native services (GKE, Pub/Sub, Cloud Storage, Secret Manager, VPC-SC) Support AWS to GCP migration initiatives for evolving platform architecture Configure and manage API gateways (Tyk, Apigee, NGINX) with routing, rate limiting, and security policies Develop and maintain CI/CD pipelines using ArgoCD, Tekton, Concourse, or similar tools Implement automated deployment validation, rollback mechanisms, and health checks Enforce IAM best practices, security policies, and compliance across AWS and GCP Build monitoring, alerting, and observability solutions using Prometheus, Grafana, Datadog, or Cloud Operations Develop automation tools and scripts using Python, Go, Bash, or Node.js Participate in on-call rotations, troubleshoot incidents, and apply SRE principles for system reliability Drive root cause analysis and continuous improvement initiatives Experience Required 5+ years of experience in Cloud Engineering, DevOps, Platform Engineering, or SRE roles Hands-on experience managing Kubernetes clusters (EKS or GKE) in production Strong expertise in Terraform and Infrastructure as Code (IaC) with modular design Experience implementing GitOps workflows and infrastructure automation Strong experience with Helm for Kubernetes deployments Hands-on experience with AWS and/or GCP cloud platforms Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, etc.) Strong debugging, troubleshooting, and problem-solving skills in distributed systems Experience building and operating production-scale infrastructure Experience Preferred GCP expertise including GKE, Pub/Sub, Cloud Storage, workload identity, and VPC-SC Experience with API gateways (Tyk, Apigee, NGINX) and traffic/security policies Hands-on experience with Istio service mesh and observability Experience with gRPC and protobuf schema design CI/CD tools experience (ArgoCD, Tekton, Concourse) Programming experience in Python, Go, Java (Spring Boot), or Node.js Security expertise including IAM, mTLS, OAuth2/OIDC, and multi-cloud security Experience with Terraform collaboration tools like Atlantis or Terragrunt Education Required Bachelor's degree in Computer Science, Engineering, or related field.