Design, implement, and maintain scalable, reliable, and secure infrastructure on Google Cloud Platform
Automate and optimize deployment pipelines using CI/CD tools and processes
Develop Infrastructure as Code (IaC) to automate deployment of cloud resources across environments
Collaborate with software engineering, QA, and operations teams to deliver seamless, end-to-end CI/CD pipelines
Build and support Kubernetes-based deployments using GKE, ensuring high availability and performance of cloud-native applications
Implement monitoring, alerting, and logging strategies to support observability and rapid incident response
Enforce cloud security best practices and compliance standards across all environments
Optimize cloud infrastructure for cost, performance, and scalability based on workload needs
Troubleshoot production issues and contribute to system stability, reliability, and resilience
Champion DevOps culture and modern practices such as GitOps and ChatOps across teams
Work closely with cross-functional stakeholders to align infrastructure strategy with product goals and timelines
Work a hybrid work schedule, coming into the Auburn Hills office a minimum of three days per week

Requirements

7+ years of professional experience in cloud engineering or DevOps, with a strong focus on Google Cloud Platform (GCP). Including services like Google Compute Engine, Google Kubernetes Engine (GKE), Google Cloud Storage, Cloud Functions, and BigQuery
Experience building and managing cloud-native applications that are designed to scale efficiently on GCP
Hands-on expertise with key GCP services including Google Compute Engine, Google Kubernetes Engine (GKE), Cloud Functions, Cloud Storage, and BigQuery
Advanced knowledge of Infrastructure as Code (IaC), using tools like Terraform and Google Cloud Deployment
Proficiency with containerization and orchestration tools such as Docker and Kubernetes
Experience designing and maintaining CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI
Knowledge of scripting languages such as Python, Bash, or PowerShell to support automation and tooling
Understanding of cloud networking (VPC, load balancers, DNS) and GCP security best practices (IAM, service accounts, encryption)
Experience with monitoring and observability tools such as Prometheus, Grafana, Stackdriver, or the ELK stack
Familiarity with GitOps, ChatOps, and modern DevOps practices to enable scalable and reliable deployments
Skilled in cloud cost optimization and performance tuning within GCP environments
Google Cloud Certification is highly preferred
Experience with serverless technologies (Cloud Functions, Cloud Run) and/or ML infrastructure on GCP (preferred but not required)
Detroit Labs is not currently able to hire candidates who will reside outside of the United States during their term of employment

Benefits

Full medical, dental, vision benefits
401K contribution options
Quarterly outings and events
Paid holidays and vacation time
Parental leave program
Monthly budgets for “team fun” bonding events
Free lunch for various company meetings and Lunch & Learns
Access to our mentorship program and employee resource groups (ERGs)
Volunteer opportunities
All-company remote-friendly activities
Plenty of Detroit Labs swag

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

Google Cloud PlatformInfrastructure as CodeTerraformGoogle Compute EngineGoogle Kubernetes EngineCloud FunctionsCloud StorageBigQueryCI/CDcontainerization

Soft skills

collaborationtroubleshootingincident responseDevOps culturecross-functional teamworkcommunicationleadership

Certifications

Google Cloud Certification