Senior Cloud Platform Engineer

Sonatus•Detroit, MI

20h•Onsite

About The Position

Sonatus is seeking an experienced Senior Cloud Platform Engineer to own the cloud infrastructure and delivery pipeline supporting a major OEM program. The role is based on-site at the customer’s engineering facility, embedded alongside the customer’s teams. The engineer will build and operate a Google Cloud Platform-based environment using GitOps and infrastructure as code, automate software delivery from commit to production, and serve as the on-site point of contact for cloud access, environment provisioning, and operational issues. The position is hands-on and calls for a broad, self-directed engineer who can work across organizational boundaries to unblock delivery. The engineer will oversee platform reliability, security, and cost; manage AI resources and model serving; improve observability and operational automation; and coordinate with Sonatus engineering teams in California, Ireland, Korea, and India. The base salary range is $137,000–$175,000 USD.

Requirements

At least 7 years of experience building and operating production cloud infrastructure, with a strong DevOps, platform engineering, or SRE background.
Deep, hands-on Google Cloud Platform experience, including GKE, IAM, VPC/networking, and Cloud Build or equivalent; GCP depth is required.
Strong Terraform skills and a track record of managing real production infrastructure as code.
Practical experience with GitOps workflows and tooling such as Argo CD, Flux, or Helm, and a preference for declarative, version-controlled operations.
Solid Kubernetes and containerization experience, including deploying, scaling, securing, and debugging real workloads.
Strong automation and scripting ability in Python, Go, or Bash, with a bias toward eliminating manual steps.
Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools.
Ability to operate independently in a customer environment, with strong communication, sound judgment about escalation, and credibility working directly with a partner organization’s engineering and IT teams.
Experience with ML or AI workloads running on cloud infrastructure.

Nice To Haves

Experience working embedded at, or delivering into, a large enterprise or automotive customer environment.
Familiarity with cloud cost management and FinOps practices.
Security and compliance experience in a regulated or enterprise setting.
Experience with AWS or Azure.

Responsibilities

Own and evolve the program’s GCP platform, including GKE, IAM, Vertex, networking, and supporting services, with a focus on reliability, security, and cost.
Build and maintain Terraform infrastructure as code, ensuring environment configuration is reviewed, versioned, and reproducible.
Operate the platform using GitOps practices and tools such as Argo CD and Helm, keeping environment state declarative and changes traceable to commits.
Design and maintain CI/CD automation that takes services from commit to deployment with minimal manual intervention, including blue/green and canary rollouts.
Build observability and alerting that gives Sonatus and the customer visibility into system health, and lead troubleshooting when issues arise.
Serve as the on-site owner for cloud access and environment issues, coordinating permissions, provisioning, and workflow questions with the customer’s IT and platform teams.
Manage AI resources, including model access, GPU and accelerator capacity, quotas, and API keys across Vertex and other model services; track usage and spend.
Optimize AI model deployment and serving for latency, throughput, and cost through model selection, right-sizing, batching, caching, and quantization, and measure results against agreed benchmarks.
Automate recurring operational work to reduce toil and avoid dependence on manual intervention.
Partner with Sonatus engineering teams in California, Ireland, Korea, and India to keep the on-site environment aligned with the broader platform.