Infrastructure Reliability Engineer (AI Data Infrastructure)

Location: 100% remote within the United States

Salary: $125,000–$170,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement.
• Build ingestion, cleaning, deduplication, filtering, and quality-assurance systems for text, image, audio, video, and structured data.
• Develop dataset versioning, lineage, provenance, evaluation, and reproducibility systems.
• Build high-throughput data loading systems and storage architectures that balance GPU utilization, cost, throughput, and latency.
• Implement labeling, active learning, human-in-the-loop improvement, privacy, redaction, and consent workflows.
• Drive observability, documentation, cross-functional alignment, and cost and performance optimization across AI data infrastructure.

Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field.
• 6+ years of data engineering experience, including significant work with ML or AI workloads.
• Strong proficiency in Python and at least one JVM or systems language.
• Deep experience with Spark, Ray, or Beam, plus hands-on operation of petabyte-scale storage and pipeline systems.
• Strong understanding of distributed systems, data modeling, storage formats, dataset versioning, lineage, and ML reproducibility.
• Experience with testing, CI/CD, code review, communication, and cross-functional collaboration.

Nice to have

• Experience with large-scale multimodal datasets and frontier model training pipelines.
• Familiarity with data quality tooling and dataset evaluation methodology.
• Exposure to privacy-preserving systems and regulated data handling.
• Open-source contributions to data infrastructure projects.

Culture & Benefits

• Full-time direct W2 employment.
• Fully remote work within the United States.
• Career growth opportunity within an established organization.
• Equal employment opportunity and a workplace free from discrimination and harassment.