Cloud Engineer

Cloud Engineer

As a Software Engineer on the Cloud Engineering team, you will design, develop, and maintain the cloud platform, infrastructure, and automation tooling that powers our connected vehicle ecosystem. You will play a key role in improving reliability, scalability, security, and cost efficiency across a platform serving millions of vehicles worldwide.

Location: Hybrid - 4 days/week onsite in SE MI

Duration: Long-Term Contract

Key Responsibilities

• Platform Development & Automation
• Design and build cloud-native solutions that enable automated, repeatable shard provisioning.
• Develop tooling for:
• Kubernetes cluster bootstrapping
• Network configuration
• Service mesh deployment
• Health validation and readiness checks
• Build control plane capabilities that allow a new shard to be provisioned and production-ready within 24 hours with zero manual intervention.

Infrastructure as Code (IaC)

• Develop and maintain production-grade Terraform modules across AWS and GCP environments.
• Manage GitOps-based infrastructure workflows utilizing Atlantis or similar tools.
• Ensure infrastructure changes are properly reviewed, tested, and fully auditable before production deployment.

Kubernetes & Service Mesh Engineering

• Provision, manage, and automate Kubernetes clusters in AWS EKS and Google GKE environments.
• Create and maintain Helm charts supporting multi-shard deployments across regions and environments.
• Configure and operate Istio service mesh capabilities, including:
• Traffic management
• mTLS enforcement
• Observability and monitoring

Google Cloud Platform (GCP) Engineering

• Design and operate GCP-native platform services, including:
• Google Kubernetes Engine (GKE)
• Pub/Sub
• Cloud Storage
• Secret Manager
• Workload Identity Federation
• VPC Service Controls (VPC-SC)
• Support the phased migration of platform services from AWS to GCP.

API Gateway & Ingress Management

• Design, configure, and operate API gateway technologies such as Tyk, Apigee, or NGINX.
• Implement routing policies, rate limiting, mTLS enforcement, and SLI/SLO metric replication.
• Execute zero-downtime ingress migrations through automation and validation processes.

CI/CD & Deployment Automation

• Develop and maintain CI/CD pipelines using:
• ArgoCD
• Tekton
• Concourse
• Similar GitOps tools
• Automate deployment controls including:
• Cluster health validation
• Fleet distribution verification
• Rollback triggers
• Migration orchestration

Security & Compliance

• Implement cloud security best practices across AWS and GCP.
• Manage:
• IAM role isolation
• Least-privilege access controls
• Workload identity
• Automated access reviews
• Monitor and remediate:
• Certificate expiration risks
• Security policy drift
• Cloud quota thresholds

Observability & Monitoring

• Design and maintain monitoring, alerting, and dashboarding solutions using:
• Prometheus
• Grafana
• Datadog
• Google Cloud Operations
• Provide visibility into:
• Platform health
• Fleet distribution metrics
• Service reliability and SLO compliance

Automation & Tool Development

• Develop automation scripts and internal tooling using:
• Python
• Go
• Bash
• Node.js
• Build tools supporting:
• Migration orchestration
• Fleet validation
• Runbook automation
• Capacity planning

Operational Excellence

• Participate in on-call support rotations.
• Troubleshoot production incidents and platform issues.
• Apply Site Reliability Engineering (SRE) principles to improve system resilience.
• Drive root cause analysis and permanent corrective actions.

Required Qualifications

Education

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Experience

• 5+ years of professional experience in Cloud Engineering, Platform Engineering, DevOps, SRE, or Software Engineering.
• Experience building and operating production infrastructure at scale.
• 3+ years of experience managing cloud infrastructure in AWS and/or GCP.

Technical Skills

• Hands-on experience provisioning and managing Kubernetes clusters (EKS or GKE) in production environments.
• Strong experience with Terraform and Infrastructure as Code (IaC) best practices.
• Experience with GitOps workflows and infrastructure automation.
• Proficiency developing and maintaining Helm charts.
• Strong troubleshooting and problem-solving skills in cloud and distributed systems environments.
• Experience with monitoring and observability platforms such as Prometheus, Grafana, Datadog, or similar solutions.

Core Competencies

Kubernetes Administration

• Cluster operations and upgrades
• Networking and security
• Workload management
• Monitoring and troubleshooting

Infrastructure Engineering

• Platform operations
• Reliability and scalability
• Configuration management
• Operational excellence

Preferred Qualifications

Cloud & Platform Technologies

• Google Cloud Platform (GKE, Pub/Sub, Cloud Storage, Workload Identity, VPC-SC, Cloud Operations)
• AWS cloud services and infrastructure management
• Multi-cloud platform architecture and migration strategies

Kubernetes Ecosystem

• Istio service mesh administration
• Traffic management and observability
• Helm chart development and lifecycle management

API Gateway Technologies

• Tyk
• Apigee
• NGINX
• Routing policies, mTLS, and API governance

CI/CD & Automation

• ArgoCD
• Tekton
• Concourse
• GitOps deployment methodologies

Programming Languages

• Python
• Go
• Java (Spring Boot)
• Node.js
• Bash or PowerShell scripting

Security