Staff / Principal Platform Engineer
- Location
- Mountain View
- Workplace
- Hybrid
- Compensation
- $280k – $350k + equity
About this role
What we're looking for:
We need a Staff or Principal-level Platform Engineer with 8+ years of experience in software engineering and deep expertise in Kubernetes and infrastructure-as-code. You should be comfortable taking end-to-end ownership of cloud infrastructure at scale and have a track record of building reliable, high-performance systems that support consumer-facing AI products. Bonus points if you have experience with AI/ML infrastructure or realtime low-latency workloads.
What you'll do:
Design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for Inworld's TTS and LLM Router products
Take ownership of CI/CD pipelines and infrastructure deployments using Terraform, ArgoCD, GitHub Actions, and related tooling
Work closely with engineers across the organization to deploy and evolve services across major cloud providers (GCP, Azure, Oracle Cloud)
Drive engineering velocity by identifying and building AI-powered tooling and workflows that improve how teams develop and deploy software
Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring reliability, availability, and performance of services
Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence
Manage and scale Kubernetes clusters, including creating Kustomize manifests and Helm charts for application deployments
What happens next
Skip the application pile. I get you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, I get the call on your calendar. You just show up.
Culture & values
Fast-paced and ownership-driven culture where people operate with high degree of autonomy
Direct access to senior leadership and CEO without layers of management
Company pays close attention to employee growth trajectory, promotions, and expanded impact
Stagnation is viewed as a red flag internally
Comfortable with ambiguity and energized by change
Culture of transparency and integrity in how company operates
Genuine flexibility around personal circumstances and timelines
Team actively uses AI tools in day-to-day work, not just in products
Startup-minded approach with real systems and processes in place
High degree of mutual respect among team members
Team rewards people who push themselves and the company forward
Tight-knit group of researchers, engineers, and go-to-market operators
Know someone who'd be great for this?
