AI Platform Engineer
Build and own production-grade AI agent infrastructure across multiple clouds, with responsibility for Kubernetes, Terraform, observability, security, reliability, and automation. Requires 5+ years of cloud infrastructure experience and strong CI/CD, networking, and production operations expertise.
About the job
Responsibilities
- Design, build, and maintain production-grade AI agent infrastructure across multiple cloud providers.
- Own the Azure or Oracle Cloud variant of the infrastructure and support Google Cloud and AWS environments.
- Enable portable infrastructure across customer environments.
- Improve observability, security, and system reliability.
- Deploy and operate applications using Kubernetes and Terraform.
- Partner with product and platform engineers to unblock delivery.
- Design and build CI/CD pipelines and own automation for infrastructure and application build, test, and deployment workflows.
- Build and maintain reusable automation frameworks for environment provisioning, secret rotation, dependency updates, compliance checks, release management, and developer workflows.
- Automate operational runbooks and recurring processes through scripts, pipeline stages, and self-service tooling.
- Promote observable, maintainable, automation-first engineering practices.
Requirements
- 5+ years of experience as a cloud infrastructure engineer.
- Strong hands-on experience with Terraform and Kubernetes.
- Strong hands-on experience with at least one of Azure, Oracle Cloud, Google Cloud, or AWS.
- Experience designing and owning CI/CD systems, pipeline architecture, GitOps deployments, release automation, and pipeline-as-code practices.
- Experience building DevOps and developer-workflow automation frameworks using Bash, Python, or similar scripting languages, workflow orchestration, and self-service tooling.
- Strong networking fundamentals.
- Proven experience deploying and operating production systems.
Nice-to-Haves
- Experience with FluxCD or other GitOps controllers such as Argo CD.
- Understanding of cloud security and DevSecOps, including security gates, SBOM generation, and compliance checks in CI/CD pipelines.
- Deep networking expertise.
- Experience with software development and the software development life cycle.
- Startup or big-tech experience.
- Strong ownership mindset and interest in building reliable foundational systems.
Skills
Terraform, Kubernetes, Azure, Oracle Cloud, GCP, AWS, CI/CD, GitOps, Fluxcd, Argo Cd, Bash, Python, DevSecOps, Sbom, Networking
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