Senior Platform Engineer

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About Lamatic

Lamatic is an agentic AI orchestration and agent development platform. Teams use Lamatic to build, deploy and run AI agents and workflows in production, on a runtime that executes at the edge and scales on demand. We are a small, senior team, and every engineer here shapes the platform directly.

The role

You will own the platform that every Lamatic flow runs on: the edge runtime, container execution, data layer and the infrastructure behind them. You will keep production fast and reliable, lead on-call, and turn a fast-growing system into one that is reproducible, observable and safe for agent-driven development.

This is a high-ownership role. You will work directly with the CTO, make architecture decisions, and have a clear path to lead platform engineering as the team grows.

What you will own

• Runtime and edge execution: Cloudflare Workers, Durable Objects, Queues and dead-letter queues, KV and D1, the dispatcher and deploy pipeline.
• Container execution: how flows run in containers, scaling, retries and capacity.
• Production reliability: on-call, incident response, alerting, dashboards and postmortems.
• Security: credential encryption, secrets management and compliance work.
• Usage metering: accurate usage tracking and reporting for credit-based pricing.

Your first 90 days

• 30 days: you know the system end to end. You can deploy, roll back and resolve a production incident on your own, and you are on the on-call rotation.
• 60 days: alerts cover the parts of the platform that actually fail, every critical service has a runbook, and you have shipped your first infrastructure-as-code pilot.
• 90 days: credit-based usage metering is live and accurate, and the platform has sandbox environments and quality gates that let engineers and coding agents ship changes safely.

What you will do

• Design, build and run the services that execute customer agents and workflows at scale.
• Lead incident response, find root causes, and make sure each incident leaves the system stronger.
• Move infrastructure into code across Cloudflare, Vercel, Supabase and DigitalOcean.
• Build the testing, sandbox and observability foundations for agent-driven development.
• Review designs and code, mentor engineers, and raise the bar for reliability.

What you bring

• 5+ years building and running production backend systems, with real on-call ownership.
• Strong TypeScript and Node.js.
• Agent-driven development (ADLC): you already ship daily with Claude Code or similar coding agents. You run agent loops that plan, implement, test and verify changes, and you know how to write the instructions, guardrails and checks that keep them reliable.
• Cloudflare Workers in production: Workers, Durable Objects, Queues, KV and D1, including their limits and failure modes.
• Alchemy, Effect and e2e.com: working knowledge of Alchemy for TypeScript infrastructure-as-code, Effect TS for typed errors, dependencies and tracing, and e2e.com (or a comparable tool) for end-to-end testing. Show us something you built with at least one of them.
• Experience with containers, queues and distributed systems, and the failure modes that come with them.
• Comfort with Postgres; experience with an analytics store such as ClickHouse is a plus.
• A habit of writing things down: runbooks, design notes and postmortems.

Nice to have

• Other infrastructure-as-code tools, such as Terraform or Pulumi.
• Observability with Grafana, OpenTelemetry or similar.
• Vector databases (Weaviate, Qdrant), LLM gateways (LiteLLM) or data integration tools (Airbyte).
• Usage-based billing with Stripe.
• Security or compliance work, such as ISO 27001.

How we work

We are moving to an agent-driven development lifecycle: engineers direct coding agents, and every change is tested and verified in an isolated sandbox before review. You will help build that workflow, not just use it.