Staff AI Platform & Reliability Engineer

eJam

$172K — $220K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Expertise in Python 3.12 with FastAPI, Pydantic, and asyncio
  • Proficient in Google Cloud Platform services and infrastructure
  • Experience with billing, usage-metering, and SQLAlchemy
  • Familiarity with asynchronous job patterns and third-party integrations
  • Working knowledge of TypeScript, specifically NestJS for cross-service work
  • Strong understanding of observability and incident management
  • Proficient with infrastructure tools such as Terraform and CI/CD pipelines

Responsibilities

  • Design, deliver, and operate AI generation services and third-party integrations
  • Ensure accuracy in billing and usage-metering across the platform
  • Maintain security controls and tenant isolation
  • Lead reliability engineering efforts, including incident response
  • Enhance deployment safeguards and cost attribution processes
  • Establish technical standards for Python services and mentor junior engineers

Benefits

  • Comprehensive health, dental, and vision insurance
  • 401k retirement plan
  • Generous PTO plan including 14 observed local holidays
  • Stock options available for employees
  • Pet-friendly office environment
  • Budget for equipment and continuing education
  • Opportunity for real technical ownership within a small team
  • Direct impact on a commercially active AI product and its development
Full Job Description
Location: Santa Ana, California - on-site
Employmenttype: Full-time
Salary: $172,000 - $220,000

Role summary

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.

This is a senior individual contributor position with architectural authority over the platform layer.

Key responsibilities
  • 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

Requirements
  • 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

Benefits

  • Health, Dental, Vision
  • 401k Plan
  • PTO Plan
  • 14 observed local holidays
  • Stock options
  • Amazing, pet-friendly office environment
  • Equipment budget and learning allowance
  • Real technical ownership within a small engineering team, and visible impact on a commercially active AI product with real users and real scale constraints
  • Direct involvement in product decisions - the team is small enough that there is nowhere to hide, in both directions

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