Backend Performance & Systems Engineering (Project)
Core
Backend performance and systems engineering for an agentic AI tutoring platform, focusing on hardening infrastructure and refining architecture for general availability.
Role type
Senior Backend Systems Engineer (Performance & Infrastructure)
Builds
Production-ready backend systems, queue architectures, and optimized database pipelines for an AI tutoring product.
Domain
EdTech + AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, FastAPI, PostgreSQL, Cloud Tasks/Pub/Sub/Celery/Temporal, query optimization, connection pooling, Pgvector, latency profiling, API contract design
Preferred skills
Experience with pre-launch scaling, background worker architecture, speculative execution patterns
Technologies
Python, FastAPI, PostgreSQL, Google Cloud Platform
Responsibilities
Design and deploy queue primitives for non-response compute; optimize PostgreSQL query plans and index designs; implement time-budgeted execution with graceful degradation; refine API response shapes and streaming envelopes; reduce edge-case latency through pre-warming and parallel execution.
Seniority
Senior, hands-on IC