Software Engineer, Infrastructure AI

Overview

Senior Software Engineer building and operating AI agents that automate SRE, DevOps, and DBA workflows across global infrastructure. The role focuses on reliable, safe agent systems that interact with production infrastructure.

What you'll do

• Build autonomous infrastructure AI agents on the Quartermaster platform.
• Automate incident response, provisioning, deployments, database operations, and capacity management.
• Design agent loops for planning, reasoning, tool use, recovery, and human escalation.
• Integrate agents with Kubernetes, Terraform, cloud APIs, databases, monitoring tools, and CI/CD pipelines.
• Measure agent effectiveness through completion, accuracy, resolution-time, and escalation metrics.
• Partner with SRE, DevOps, and platform engineering teams to identify automation opportunities.

What you'll need

• 3+ years of professional software engineering experience.
• Strong proficiency in Python, Go, Java, or Kotlin.
• Practical experience with AWS, GCP, or Aliyun.
• Experience with Kubernetes, Terraform, and CI/CD systems.
• Strong system design skills for reliable, safe, and scalable agent systems.
• Strong communication and cross-functional collaboration skills.

Nice to have

• Experience building LLM-based agentic AI systems.
• Experience with LangGraph, CrewAI, AutoGen, or custom agent frameworks.
• Experience with observability, databases, or SRE practices.

Details

• Hybrid role based in Seattle, Washington, United States.