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# Staff AI Platform & Reliability Engineer

- **Company:** Ejam Inc
- **Location:** Santa Ana, CA, United States
- **Experience:** Expert
- **Salary:** $172,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Continuous Integration, Cursor (Graphical User Interface Elements), Software Debugging, Identity and Access Management, Python (Programming Language), PostgreSQL, OpenID, Reliability Engineering, SQLAlchemy, TypeScript, Google Cloud, Large Language Models, Fastapi, AI Platforms, Google Cloud Functions, NestJS, Terraform, Webhooks
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f603a974a5c80c24

## About the Role

* Python 3.12 with FastAPI, Pydantic, asyncio and strict typing in production
 * Google Cloud Platform: Cloud Run, Pub/Sub, Cloud Tasks, GCS, Firestore, Cloud SQL/Postgres
 * Demonstrated experience with webhooks, queues, retries, idempotency, dead-letter queues and durable asynchronous jobs
 * SQLAlchemy and Alembic, together with billing or usage-metering experience
 * Infrastructure and delivery tooling: Terraform, IAM/OIDC, Secret Manager, CI/CD
 * Production integrations with image, video or LLM providers
 * Working proficiency in NestJS/TypeScript sufficient to modify cross-service contracts
 * Strong background in observability, cost tracking and incident debugging
 * Fluency with agentic coding tools (Claude Code, Codex, Cursor or comparable), including the ability to scope work for them, review their output critically and maintain architectural coherence across AI-assisted changes

## Description

We are seeking a Staff Engineer to take ownership of the AI generation services, provider integrations, billing integrity, tenant security and overall platform reliability underpinning created.ai. The role is Python and GCP-first, with sufficient TypeScript proficiency to trace and modify cross-service contracts., * Own the design, delivery and operation of AI generation services and all third-party provider integrations

 * Ensure billing and usage-metering integrity across the platform, including reconciliation and credit accounting
 * Maintain tenant isolation and platform security controls
 * Lead reliability engineering: failure handling, degradation strategy, capacity and incident response
 * Strengthen deployment safeguards, observability and cost attribution
 * Set technical standards for the Python services and mentor engineers working within them


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