This role is based in Auburn Hills, Michigan, and follows a hybrid work model, requiring in-office presence three days per week.
Please note: Due to the in-office requirement, we will only be considering candidates that are local to the Metro Detroit area at this time.
Detroit Labs was founded in 2011 with a vision for building digital products, services, and the teams that power them. We create digital solutions that transform the way our clients do business. We build genuine relationships based on respect, trust, and results. We foster a diverse and inclusive culture that values people - providing them with the tools, resources, and support they need to thrive professionally, exceed client expectations, and be themselves at work. We have a variety of client teams we work with ranging from startups to Fortune 500 companies so there are always new and exciting projects going on.
Detroit Labs is looking for experienced DevOps Cloud Engineers with expertise in Google Cloud Platform (GCP) to join an exciting project with an existing client that drives game-changing automotive technology. This role will work on connected vehicle services for customers owning vehicles with connected capabilities across the USA and Canada. In this role, you will play a key part in designing, implementing, and maintaining scalable and efficient cloud infrastructure, as well as streamlining DevOps processes. You will work closely with development and operations teams to automate workflows, enhance system reliability, and optimize cloud resources while following best practices in cloud security and governance. Your expertise will directly influence the speed and quality of software delivery pipelines.
Our ApplicationAt Detroit Labs, a member of our team will read over every application (including yours), and will review your resume in addition to your responses to the application questions.
To help us get to know you better, we encourage you to answer these questions genuinely and honestly. We value each applicant and want to learn about the real you. Be yourself in your responses, and our team will look forward to understanding what you can bring to this role!
Requirements
- 7+ years of professional experience in cloud engineering or DevOps. Experience working with Google Cloud Platform (GCP) in a production environment is a requirement. 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
- 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
Benefits
- The salary range for this role is from $120,000-130,000 commensurate with experience
- 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
Top Skills
What We Do
We design experiences and create mobile tech that changes the way users interact with their favorite brands. We strategize with your team to find what will make the biggest impact, whether it's a native or mobile app, in-dash vehicle app, a stellar development team, or a new technical frontier. We challenge ourselves not only to forge cutting-edge technology but to create an awesome culture, environment, and new opportunities. Let us take your brand to the next level.
