Agentic Lead Engineer
Orçamento: $30.0 - $48.0
HOURLY / FULL_TIME
⭐ 0.00 (0)
DEU
typescript, golang, elixir, amazon-web-services, cloud-architecture
We are looking for an Agentic Lead Engineer to help shape the next generation of our platform. This is not a role for someone who wants to maintain a traditional Rails product all day. Rails is part of our system, but the center of gravity for this role is our new architecture: TypeScript services, durable workflows, event-driven payments infrastructure, agent-assisted engineering, and production systems where correctness matters.
You will lead from the front: designing systems, reviewing architecture, raising engineering quality, and using AI agents as a serious force multiplier rather than a novelty.
You will help build and lead work across:
- Next.js 16, React 19, TypeScript frontend surfaces for creators, buyers, affiliates, and internal operations
- Bun/TypeScript services for payout, affiliate, webhook delivery, contact sync, event schemas, and service orchestration
- Restate durable workflows for money movement, idempotency, retries, and long-running business processes
- Hono, Drizzle, Postgres, Zod, AJV for typed service APIs and strict event contracts
- Supabase/PostgREST for community and gamification surfaces
- Stripe Connect payment and payout flows
- EventBridge/SQS/outbox patterns for reliable domain events
- OpenTelemetry and Aient for trace-driven debugging and production insight
- Playwright, Vitest, Docker Compose E2E stacks for high-confidence delivery
- Terraform/ECS/GitHub Actions for cloud infrastructure and deployment
You take full ownership from code to production. That means you do not stop at merging a PR: you understand how the service is built, deployed, observed, debugged, and rolled back. You are comfortable crossing the boundary between application code, infrastructure, CI/CD, runtime configuration, logs, traces, alerts, and production incidents.
You will also help us become excellent at agentic software engineering: decomposing work for AI agents, reviewing their output rigorously, enforcing standards, and using automation to move faster without lowering the bar.
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