Go Engineer: Cloud-Native AI Agent Harness

Jobgether; Oregon; Hybrid; USD 158,000 - 193,000; Full time

Benefits offered by this job

Competitive salary

Equity opportunities

Healthcare (medical, dental, vision)

Remote flexibility

PTO and holidays

Parental leave

Open-source collaboration

Technical ownership

Job summary

Jobgether is listing a role for a Software Engineer II – Cloud-Native Agent Harness (Mecatl) based in the United States. You will design, build, and maintain cloud-native agent infrastructure, working across backend systems, Kubernetes-based components, and security frameworks.

You will contribute to APIs, tooling, and AI-integrated development workflows while driving features from design through release and collaborating with an open-source community in a fast-paced environment.

Qualifications

• Proficiency in Go and writing clean, testable code.
• Experience delivering features in backend, platform, or infrastructure projects.
• Knowledge of distributed systems and cloud-native tech like Kubernetes, containers, and APIs (gRPC/HTTP).
• Hands-on experience with AI coding agents in software development and risk awareness.

Responsibilities

• Design and deliver features across cloud-native agent harness components.
• Contribute to client-facing interfaces and developer tools (gRPC, HTTP/SSE, TypeScript SDKs, CLI).
• Improve reliability, security, and observability of production-grade infrastructure.
• Write maintainable code with proper error handling and edge-case coverage.
• Produce design proposals and participate in code reviews, including AI-generated code considerations.

Skills

Go

Backend development

Kubernetes

Distributed systems

gRPC

HTTP APIs

Concurrency

AI coding agents

Open-source

Product mindset

Tools

TypeScript

CLI

APIs (gRPC/HTTP)

Job description

Jobgether is listing a role for a Software Engineer II – Cloud-Native Agent Harness (Mecatl) based in the United States. You will design, build, and maintain cloud-native agent infrastructure, working across backend systems, Kubernetes-based components, and security frameworks.

You will contribute to APIs, tooling, and AI-integrated development workflows while driving features from design through release and collaborating with an open-source community in a fast-paced environment.