Backend & Infrastructure Engineer

Technical Areas You'll Own

• Backend and infrastructure of client projects and in-house SaaS — from screen mockups, validate requirements, data models, and authorization, then design and implement APIs and production platform
• Design, build, and codify GCP infrastructure (Cloud Run, Cloud SQL, Firestore, Pub/Sub, Secret Manager, Terraform, CI/CD)
• Authentication, authorization, and security design (Firebase Auth / Identity Platform, external IdP integration, roles and tenant isolation, audit logs, least privilege)
• Data integration and migration with core systems, SaaS, and other clouds, plus analytics foundations on BigQuery
• Backends for AI features (calling Vertex AI / Claude, prompt-injection defenses, execution logging and cost observability) and agent-driven development foundations such as CLAUDE.md, hooks, subagents, and ADRs

What We Expect

• Able to design, build, and operate a production backend end to end in TypeScript (Node.js) or Python (guideline: 5+ years of professional experience)
• Able to build and operate production environments on GCP, including monitoring, incident response, and recovery
• Able to design data models and safe schema changes and migrations in a relational database such as PostgreSQL
• Able to design and implement OIDC / JWT and role-based authorization, and verify cross-tenant access control with tests
• Able to build IaC with Terraform and automate tests and deployments with CI/CD
• Uses coding agents such as Claude Code in daily development, runs verification and review of their output yourself, and records design decisions in writing to collaborate asynchronously

Nice to Have

• Backend build and operations experience on AWS or Azure (GCP is our default, but other clouds are very welcome)
• Cross-cloud authentication with Workload Identity Federation / OIDC
• External IdP integration via SAML / OIDC, or identity consolidation and record matching
• Building data and analytics foundations on BigQuery
• Integrating with core business systems or business SaaS such as Salesforce, or migrating legacy systems
• Building and operating LLM-based AI agents

Tech Stack

• TypeScript
• Python
• Next.js
• FastAPI
• Google Cloud
• Cloud Run
• Firebase
• Firestore
• PostgreSQL
• BigQuery
• Terraform
• GitHub Actions
• Vertex AI
• Claude Code