Summary
✨ AI‑Generated
A fast-moving technology organization is looking for a Full Stack Engineer to help build its developer experience and internal platform. You will work on cloud development workspaces, automated machine setup, infrastructure templates, and tooling that enables engineers and AI coding agents to build, review, and deploy software efficiently and safely. The role is remote with preferred overlap with selected working hours.
Highlights
Early-stage platform engineering opportunity with direct exposure to senior technical leadership. The role focuses on developer productivity, cloud workspaces, automation, infrastructure templates, and building systems that help engineers and AI agents work faster and more safely.
Description
Location: Remote (Decent overlap with HKT or EST working times preferred)Job Type: Full-timeExperience Level: Mid to Senior (4+ years)
About the RoleMost companies are adding AI tools to an existing engineering process.
Milton is built the other way around: coding agents write most of our code, and the engineering team's job is to make that fast and safe.
We call this harness engineering: making our systems legible to agents, and making safety enforceable rather than advisory, so agents can plan, build, review, and verify their own work while humans direct instead of type.
You'll be one of the first dedicated engineers on this platform, working directly with the CTO.
Your customers are our engineers and our agents, and your job is to keep raising the ceiling on how much both can ship.
What you'll work onThe developer platform: cloud development workspaces (Coder on AWS), one-command laptop bootstrap, golden machine images (Packer), and the templates every engineer and agent works inside.The agent harness: Claude Code configuration treated as a product.
Skills, hooks, subagents, multi-agent design and code review pipelines, eval loops with machine-readable pass/fail signals, and the guardrails that make unattended agent work trustworthy.Infrastructure as code: a Terraform monorepo covering AWS, Cloudflare, Tailscale, GitHub org settings, and SaaS configuration.
Everything lives in code, every change is reviewed, applies are deliberate.Full-stack product and internal tools: MCP servers that connect agents to company systems (Feishu, Microsoft 365), internal bots and dashboards, onboarding sites, and features across our venture repos (TypeScript/Node, Python, Next.js).CI/CD and the paved road: GitHub Actions pipelines, plan gates, policy checks, and the shared conventions template that propagates all of the above across every repo in the org.What success looks likeA new engineer goes from sealed laptop to a first merged, agent-built PR in under a day.Agents complete larger units of work unattended because the loops, evals, and guardrails you built let them verify themselves.Velocity keeps climbing while incidents stay boring: the harness catches what reviewers used to.Requirements4+ years building software across the stack (TypeScript/Node.js, Python, or similar, with some frontend).You already work through coding agents (Claude Code, Codex, Cursor) as your primary mode, not as autocomplete, and you have opinions about what makes agents effective.Hands-on infrastructure-as-code experience, Terraform strongly preferred, plus real cloud experience (we run on AWS).CI/CD fluency (GitHub Actions or similar) and git as a power user.Strong written communication.
In an agent-first org, documentation and conventions are load-bearing infrastructure; writing is part of the job.Security instincts: least privilege, secrets hygiene, blast-radius thinking.Nice to HaveExperience building developer platforms or internal tooling (Coder, devcontainers, monorepo tooling).Tailscale or other overlay networking; Cloudflare (DNS, Access, Tunnels).Experience building MCP servers, agent harnesses, or LLM-powered tools.Observability and incident response experience.Mandarin proficiency.
