Cloud-Native Agent Harness Engineer II

Stacklok; United States; Remote; USD 158,000 - 193,000; Full time

Benefits offered by this job

Equity

Medical, dental, vision

Flexible hybrid or remote

Paid parental leave

Job summary

Stacklok is hiring a Software Engineer II for Mecatl, a cloud-native AI agent harness. This remote role supports North America, with a preference for US Eastern Time Zone candidates.

You will build the platform, improve security and observability, and work across the engine, Kubernetes runtime, and client surfaces. The role emphasizes an AI-first engineering culture, independent feature delivery, and strong collaboration within an open-source oriented team.

Qualifications

• Proficiency in Go writing clean, testable code with good error handling.
• Ability to deliver features independently across a backend or platform codebase, from implementation to release.
• Knowledge of distributed systems and cloud-native infrastructure (Kubernetes, containers, service APIs).
• Personal AI-assisted development workflow with awareness of risks such as prompt injection and permissions.

Responsibilities

• Build and deliver features across Mecatl, including agent loop, tool and permission systems, session/state management, Kubernetes runtime, and client SDKs.
• Fix bugs and harden the harness for production use, improving reliability, security, and observability.
• Write testable, readable code with clear design docs; review pull requests, including AI-assisted changes.
• Understand outcomes and partner with team anchor to break down work and escalate when needed.
• Use AI agents as a core part of your workflow; review, test, and own their outputs.

Skills

Go

Distributed systems

AI workflow

Open source

Tools

Kubernetes

gRPC

HTTP

TypeScript SDK

Job description

Stacklok is hiring a Software Engineer II for Mecatl, a cloud-native AI agent harness. This remote role supports North America, with a preference for US Eastern Time Zone candidates.

You will build the platform, improve security and observability, and work across the engine, Kubernetes runtime, and client surfaces. The role emphasizes an AI-first engineering culture, independent feature delivery, and strong collaboration within an open-source oriented team.