Senior Platform Engineer - Multi-Cloud Kubernetes & Infra

Decisive Point; Sunnyvale (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

Applied Intuition, Inc. is building the core platform that powers Dana and other enterprise workloads. This role focuses on owning and evolving the full stack of our cloud-native infrastructure, from compute to observability, across cloud providers.

You will work embedded with engineers across the org, drive architectural decisions, and ensure reliability while enabling rapid product development and deployments.

Qualifications

• Have 5+ years of experience building and operating large-scale infrastructure.
• Experience with Kubernetes and multi-cloud environments (AWS, GCP, Azure or OCI).
• Proficient in Go, Python, Rust or C++ and able to pick up new languages quickly.
• Fluent with Infrastructure as Code and GitOps workflows (Terraform, OpenTofu, Pulumi, Crossplane).
• Strong communication and collaboration across teams; ability to influence interfaces.
• BS in Computer Science or a related field.

Responsibilities

• Design, build, and operate multi-cluster Kubernetes infrastructure across clouds.
• Create tenant-safe storage, RBAC, and workload identity primitives.
• Orchestrate secure sandboxed execution environments for trusted/untrusted workloads.
• Act as solutions architect for internal platform customers and productionize designs.
• Improve developer productivity by tooling and removing friction.
• Own incidents end-to-end including postmortems and follow-ups.
• Mentor engineers and raise technical standards through reviews.

Skills

Kubernetes

Programming languages (Go/Python/Rust/

Go/Python/Rust/C++

Infrastructure as Code

GitOps

Communication

Education

BS in Computer Science or related field

Tools

Terraform

OpenTofu

Pulumi

Crossplane

Job description

Applied Intuition, Inc. is building the core platform that powers Dana and other enterprise workloads. This role focuses on owning and evolving the full stack of our cloud-native infrastructure, from compute to observability, across cloud providers.

You will work embedded with engineers across the org, drive architectural decisions, and ensure reliability while enabling rapid product development and deployments.