# Senior Software Engineer, Infrastructure & Platform

**Company:** [AfterQuery](https://hotfix.jobs/companies/afterquery)
**Location:** San Francisco, CA
**Role:** DevOps / SRE
**Skills:** Python, JavaScript, Node.js, Next.js, GCP, AWS, Kafka, RabbitMQ, Pub/Sub, Distributed Systems
**Posted:** 2026-03-08

> Designs and builds scalable core infrastructure for data generation, human-in-the-loop workflows, and AI evaluation pipelines. Requires strong experience in distributed systems, cloud platforms like GCP/AWS, and high-throughput data processing.

## Job Description

## Responsibilities
- Design and build core infrastructure systems.
- Architect and develop the shared infrastructure powering our data generation platforms, human-in-the-loop systems, and evaluation pipelines.
- Build systems capable of processing large-scale datasets and high-throughput workloads with strong reliability guarantees.
- Create reusable infrastructure and APIs that enable product engineers and researchers to build quickly and reliably on top of core systems.
- Design systems with strong observability, monitoring, and fault tolerance to support production workloads at scale.
- Help define long-term system architecture across data pipelines, compute infrastructure, task orchestration, and storage systems.
- Work closely with engineers and researchers to support new AI experimentation workflows and platform capabilities.
- Define standards for system design, deployment, reliability, and infrastructure operations.

## Required Qualifications
- Strong experience building production distributed systems or platform infrastructure.
- Proficiency in **Python** and/or **JavaScript** (Node.js / Next.js) or similar backend technologies.
- Experience designing and operating systems in cloud environments (**GCP** or **AWS**).
- Experience with message queues and event-driven systems (**Kafka**, **RabbitMQ**, **Pub/Sub**, etc.).
- Experience working with high-throughput data pipelines and asynchronous processing systems.
- Strong understanding of system scalability, performance, and reliability.
- Experience owning systems running in production environments.

## Preferred Qualifications
- Experience building internal developer platforms or shared infrastructure.
- Experience supporting large-scale data processing pipelines.
- Experience with AI infrastructure, LLM evaluation systems, or ML pipelines.
- Experience working at high-growth startups or scaling early infrastructure.
- Experience designing human-in-the-loop or workflow orchestration systems.

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