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# Senior Software Engineer - Infrastructure/Platform - AfterQuery

- **Company:** David Joseph & Company
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $250,000.0 - $350,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, DevOps, Distributed Systems, Fault Tolerance, Node.Js, Performance Tuning, Queueing Systems, RabbitMQ, Reliability Engineering, Azure Machine Learning, Next.js, AI Infrastructure, Large Language Models, Multi-Agent Systems, Backend, Event Driven Architecture, Stripe, Storage Technologies, Apache Kafka, Data Pipelines, Crud, Data Generation
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=eb2afe5ae93c1c48

## About the Role

Do you have experience in System design?, * 5+ years of distributed systems and platform engineering experience

 * Strong backend Python and/or JavaScript (Node.js / Next.js)
 * AWS or GCP production infrastructure experience
 * Message queue and event-driven architecture experience (Kafka, RabbitMQ, Pub/Sub, or equivalent)
 * High-throughput async data pipeline experience
 * Production scalability, performance optimization, and reliability engineering
 * End-to-end production ownership with strong architectural ownership history, * Internal developer platform engineering
 * Shared infrastructure ownership at scale
 * AI infrastructure, LLM evaluation systems, or ML platform infrastructure
 * Human-in-the-loop or workflow orchestration systems
 * Startup scaling experience, Strong signals include backgrounds from FAANG, Jane Street, Citadel, Stripe, Ramp, or top-tier YC startups with senior architecture ownership, shared platform engineering leadership, and high-scale infrastructure design.

## Description

This is a senior infrastructure and platform engineering role supporting frontier AI data generation and evaluation systems. This is not DevOps support. This is not pure backend CRUD engineering. This is deep architecture ownership.

Core ownership includes:

 * Shared infrastructure powering data generation platforms
 * Human-in-the-loop workflow systems
 * Evaluation harness infrastructure
 * Agentic systems platform engineering
 * Large-scale asynchronous data processing pipelines
 * Distributed compute architecture
 * Task orchestration and storage architecture
 * Internal platform APIs and shared engineering infrastructure
 * Reliability, monitoring, observability, and fault tolerance engineering
 * High-throughput distributed systems
 * Long-term infrastructure architecture strategy

What You'll Own

 * Architect foundational infrastructure used across engineering teams
 * Build distributed production systems at scale
 * Design reusable platform components and shared APIs
 * Support large-scale AI experimentation workflows
 * Establish infrastructure engineering standards and deployment/reliability practices
 * Enable rapid engineering velocity through platform architecture, * Pending approval
 * Initial screen (Alec)
 * Second round (Carlos)
 * System design - internal
 * System design - external
 * 1-day work trial
 * References
 * Offer


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