Role Overview
As a Cloud Infrastructure & Platform Engineer, you will design, build, and operate the cloud infrastructure that powers our AI products and enterprise applications. You'll own infrastructure architecture across cloud platforms, networking, Kubernetes, security, scalability, observability, and platform services while enabling engineering teams to build and deploy applications efficiently.
Responsibilities
- Design cloud-native infrastructure on AWS or GCP for scalable production applications.
- Architect Kubernetes platforms that support microservices, AI workloads, APIs, and enterprise applications.
- Design secure networking including VPCs, subnets, private networking, VPNs, load balancers, gateways, and DNS.
- Build reusable infrastructure using Infrastructure as Code (Terraform).
- Design infrastructure for containerized applications using Docker and Kubernetes.
- Implement cloud security best practices including IAM, secrets management, and encryption.
- Design monitoring, logging, alerting, and tracing systems for observability.
- Build internal platforms that simplify infrastructure provisioning and deployments.
- Design infrastructure supporting AI inference, RAG systems, and vector databases.
Requirements
- 3–6 years of experience designing and managing cloud infrastructure.
- Strong experience with AWS or GCP architecture.
- Hands-on experience designing Kubernetes platforms in production.
- Expertise in Infrastructure as Code using Terraform.
- Strong understanding of networking, VPC design, routing, DNS, VPNs, firewalls, and load balancing.
- Knowledge of Linux, Docker, and cloud-native technologies.
- Experience with monitoring, observability, and platform reliability.
Nice to Have
- Experience designing infrastructure for AI/ML platforms using Vertex AI or SageMaker.
- Multi-cloud experience (AWS, GCP, Azure).
- Experience with service mesh technologies (Istio, Linkerd).
- Experience building Internal Developer Platforms (IDP).
- Knowledge of FinOps and cloud cost optimization.
Skills
- AWS
- GCP
- Kubernetes
- Terraform
- Docker