Software Engineer Data Infrastructure (AI)

TL;DR

Software Engineer Data Infrastructure (AI): Build and operate scalable, reliable, and secure data infrastructure systems supporting massive compute fleets and storage for AI workflows with an accent on distributed compute, streaming platforms, and data orchestration. Focus on designing, building, and maintaining high-throughput, low-latency data systems and ensuring reliability at extreme scale.

Location: San Francisco, CA, USA with hybrid work model and relocation assistance

Salary: $210K – $405K + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity by pushing AI capabilities and deploying them safely.

What you will do

• Design, build, and maintain scalable, reliable, and secure data infrastructure including distributed compute, storage, streaming, and ML infrastructure
• Scale data platforms by orders of magnitude while ensuring efficiency and reliability
• Empower engineers and teams with excellent data tooling and systems
• Collaborate with product, research, and analytics teams to build foundational technical capabilities
• Own system reliability including participation in on-call rotations for critical incidents

Requirements

• Location: Must be based in San Francisco or willing to relocate
• 4+ years experience in data infrastructure or infrastructure engineering with strong interest in data
• Experience with Spark, Kafka, Flink, Airflow, Trino, or Iceberg
• Proficiency with infrastructure tooling such as Terraform and debugging large-scale distributed systems
• Ability to build scalable, reliable, and secure systems
• Comfortable with ambiguity and rapid change, strong learning and communication skills

Culture & Benefits

• Hybrid work model with 3 days in office per week
• Relocation assistance for new employees
• Equal opportunity employer with commitment to diversity and inclusion
• Focus on safety and ethical AI development