AfterQuery - Senior Infrastructure Engineer, Applied AI

deCircle

San Francisco (CA)

On-site

USD 250,000 - 450,000

Full time

5 days ago
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Job summary

deCircle is seeking a senior platform infrastructure engineer for an onsite role in San Francisco's FiDi. You will design and build core shared infra for data generation, HITL systems, and evaluation pipelines to enable scalable AI workflows.

You will own foundational systems for scale and reliability, mentor junior engineers, and provide platform services to vertical engineering teams while architecting distributed, high-throughput workloads with Node.js, Python, Kubernetes, Kafka, Redis,

Qualifications

  • 6-10 yrs platform infrastructure with full-stack capability.
  • Scalable, reliable, high-throughput systems track record.
  • Node.js, Python, Kubernetes, Kafka, Redis, Elasticsearch, AWS/GCP.
  • Mentoring; HITL data or high-growth startup a plus.
  • On-site 5 days FiDi SF.

Responsibilities

  • Design/build core shared infra for data generation, HITL systems and eval pipelines
  • Own foundational systems for scale and reliability
  • Provide platform/services to vertical eng teams
  • Architect distributed systems for large-scale, high-throughput workloads
  • Set eng best practices; mentor the junior team

Skills

Platform infrastructure
Full-stack capability
Mentoring
Performance & reliability
On-site collaboration

Tools

Node.js
Python
Kubernetes
Kafka
Redis
Elasticsearch
AWS
GCP

Job description

AfterQuery: novel datasets and data infrastructure for frontier AI labs (85 people, $34M raised, SF).

Comp: $250K-$350K base (OTE $300K-$450K (bonus up to $100K)) + competitive equity. Location: On-site 5 days, FiDi SF. Visa: Visa transfers (OPT, H1B).

Responsibilities
  • Design/build core shared infra for data generation, HITL systems and eval pipelines

  • Own foundational systems for scale and reliability

  • Provide platform/services to vertical eng teams

  • Architect distributed systems for large-scale, high-throughput workloads

  • Set eng best practices; mentor the junior team

Tech stack: Node.js, Python, Kubernetes, Kafka, Redis, Elasticsearch, AWS, GCP

Source: https://www.paraform.com/share/afterquery/cmox601tw00110dlkapdfla2j


  • 6-10 yrs platform infrastructure with full-stack capability

  • Scalable, reliable, high-throughput systems track record

  • Node.js, Python, Kubernetes, Kafka, Redis, Elasticsearch, AWS/GCP

  • Mentoring; HITL data or high-growth startup a plus

  • On-site 5 days FiDi SF

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