# Software Engineer II - Cloud-Native Agent Harness (Mecatl) at Stacklok

- Company: Stacklok
- What the company does: Stacklok gives enterprises an open, Kubernetes-native architecture to run AI agents securely with no vendor lock-in. Led by the co-creators of Kubernetes. Backed by Accel and Madrona.
- Company website: https://www.stacklok.com/
- Type: Startups
- Level: Mid level
- Location: Remote: North America - East
- Work setup: Remote
- Pay: $158K to $193K base salary per year (USD)
- Posted: 2026-11-03
- Apply by: 2026-12-18
- Apply: https://job-boards.greenhouse.io/stacklok/jobs/5275130007?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/stacklok-software-engineer-ii-cloud-native-agent-harness-mecatl/

## About the role

AI agents are moving into production, and the harness that runs them is becoming critical infrastructure. Enterprises need that harness to be secure, auditable, and portable across models, clients, and deployment environments. Mecatl is Stacklok's open source, cloud-native agent harness. It provides the agent loop, tools, permissions, hooks, delegation, and durable sessions for running agents as production workloads on infrastructure you operate. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Proficiency in Go, writing clean, testable code that accounts for edge cases and error handling, plus clear design docs and thoughtful code reviews
- Demonstrated ability to deliver features independently across a backend or platform codebase, from implementation through testing and into a release
- Working knowledge of distributed systems and cloud-native infrastructure, such as Kubernetes, containers, and service APIs (gRPC or HTTP). Experience with durable state, concurrency, or streaming is a plus
- A personal AI-assisted development workflow you can walk through, with a clear sense of where it helps, where it breaks, and its risks, such as prompt injection and excessive agent permissions
- Interest in agent infrastructure, such as agent loops, tool use, MCP, model providers, or evaluation. Prior experience building on or contributing to an AI platform or open source project is a plus
- Ideally, a product engineering mindset: curious about users and their problems, comfortable questioning requirements, and motivated by shipping something people use

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/stacklok-software-engineer-ii-cloud-native-agent-harness-mecatl/