Autonomous Cloud Infrastructure Engineer (AI Agent)

Matcha

Northern (KY)

Hybrid

USD 185,000 - 215,000

Full time

10 days ago
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Benefits offered by this job

Healthcare Coverage
Time Off (unlimited PTO)
401(k) with employer match
Parental Leave
Remote-First Culture
Professional Development
Equity Ownership
Wellness & Happiness funds

Job summary

Pulumi is building Neo, an autonomous infrastructure engineering agent that plans and executes multi-step cloud operations. The role focuses on agent orchestration, tool interfaces, and a web UI where users watch Neo work, approve operations, and understand its reasoning.

We value strong Python and TypeScript skills, background with cloud providers, and experience with production AI systems. This is a remote-first U.S. role with preference for Pacific Time Zone.

Qualifications

  • Genuine excitement about agentic AI—systems that plan, act, and adapt in the real world, not just generate text
  • Experience with production systems using LLMs, including skill design, tool use, function calling, and multi-step orchestration
  • Commitment to reliability and safety when AI systems take real actions with real consequences
  • Comfort working across the stack—agent orchestration, backend services, and frontend interfaces

Responsibilities

  • Build the planning and execution systems that let Neo safely perform multi-step infrastructure operations across AWS, Azure, GCP, Kubernetes, and more
  • Design tool interfaces that give the agent semantic understanding of cloud resources and access to engineering workflows
  • Develop the context systems that help Neo understand each customer’s infrastructure patterns and usage
  • Create the feedback loops and self-correction mechanisms that make autonomous operation reliable
  • Build evaluation frameworks to measure agent performance across Neo’s capability areas: migrations, compliance, cost optimization, diagnostics, and more
  • Work on the web interface where Neo operates as a "virtual teammate"—task assignment, progress visibility, approval workflows
  • Integrate Neo’s capabilities into Pulumi’s MCP Server for agent-to-agent workflows
  • Collaborate with platform teams to deeply integrate agent capabilities into the CLI, SDKs, and Pulumi Cloud

Skills

Python
TypeScript
Cloud infrastructure
Kubernetes
Docker
LLMs
Automation
Frontend interfaces
CLI/SDKs

Tools

Docker tooling
CLI tooling
SDK development
Pulumi MCP Server

Job description

Pulumi is building Neo, an autonomous infrastructure engineering agent that plans and executes multi-step cloud operations. The role focuses on agent orchestration, tool interfaces, and a web UI where users watch Neo work, approve operations, and understand its reasoning.

We value strong Python and TypeScript skills, background with cloud providers, and experience with production AI systems. This is a remote-first U.S. role with preference for Pacific Time Zone.

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