Role Overview
We’re seeking a Platform Engineer (AI Automation) who designs and deploys AI agents to eliminate toil, accelerate developer workflows, and multiply what a lean team can deliver. The ideal candidate will own solutions across Kubernetes, GitOps, CI/CD, and our developer portal, while relentlessly automating repetitive operational work through agentic AI.
What You Will Do
The successful candidate will design, build, and iterate on AI agents that automate platform operations, from service and infra bootstrap to self-healing infrastructure and PR-review bots. They will also identify and eliminate repetitive human-in-the-loop workflows across CI/CD, environment management, access provisioning, and change management.
Why It Might Be a Fit
The ideal candidate will be a professional contributor who effectively represents the team’s perspective and communicates across functions. They will collaborate with DevX, SRE, and Product Engineering peers to turn fragmented workflows into AI-powered golden paths.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 3+ years in platform, infrastructure, or backend engineering with deep knowledge of Kubernetes (EKS) and cloud-native architectures on AWS
- Demonstrated experience building AI agents or agentic workflows
- Experience in GitOps (ArgoCD) and CI (GitHub Actions) for multi-service systems
- Strong coding skills in Go and/or Python
- Excellent communication skills
- Experience with LLM orchestration frameworks and prompt engineering for production systems
- Mission-Driven: A strong advocate for the customer who takes initiative to fix issues and constantly asks, ‘Can an AI agent do this instead of a human?’
Benefits
- Healthcare
- Internet and cell phone reimbursement
- Learning and development stipend
- Potential opportunities to travel to our headquarters in Mountain View
To apply for this job please visit job-boards.greenhouse.io.
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