Platform Engineer owning AWS, Kubernetes, observability, and Linux edge infrastructure. Improving reliability, automation, and developer workflows for Fleetworthy’s fleet - readiness technology.
About the role
- Platform Engineer enabling scalable Azure and Google Cloud AI/ML capabilities. Owning end-to-end delivery of Infrastructure as Code for cloud AI services in a hybrid work environment.
Responsibilities
- Own end-to-end delivery of Infrastructure as Code for cloud AI services
- Design platform abstractions that let application teams self-serve safely
- Lead architectural conversations across Azure and Google Cloud
- Embed security and compliance into the platform
- Build patterns for safe consumption of generative AI
- Lead code review and set standards for IaC quality
- Partner with security, network, risk, and architecture organizations
Requirements
- 5+ years of cloud platform or infrastructure engineering experience
- Expert-level Terraform - module design, composition, workspaces, testing, drift management, and pipeline patterns
- Strong Python for platform work: SDK integrations, CLI/tooling, automated testing, packaging, observability hooks
- Experience with GitHub Actions (or comparable CI/CD)
- Demonstrable experience deploying and operating AI/ML services on Azure or Google Cloud
- Hands-on understanding of cloud networking at depth
- Strong security engineering instincts.
Benefits
- health and well-being benefits
- savings and retirement programs
- paid time off
- banking benefits and discounts
- career development
- reward and recognition programs
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