Sr Staff Software Engineer (Data Platform)

TL;DR

Sr Staff Software Engineer (Data Platform): Architecting and building the core data infrastructure and "platform-as-a-product" for the enterprise with an accent on high-performance engines, abstraction layers, and self-service frameworks. Focus on solving complex distributed systems problems, automated schema evolution, and implementing AI governance lakes for real-time data ingestion.

Location: Must be authorized to work in the US (E-Verify employer)

Company

hirify.global is a global commerce platform that helps businesses manage employee benefits, mobilize fleets, and streamline payments across more than 200 countries.

What you will do

• Define the 3-5 year technical roadmap for the Data Lakehouse, determining storage, compute, and metadata layer interactions.
• Build internal SDKs, CLI tools, and automated orchestration frameworks to abstract cloud complexity via Control Planes.
• Prototype and benchmark emerging technologies and Spark extensions to optimize performance and cost-efficiency.
• Architect compliance-by-design systems for automated data lineage, PII masking, and fine-grained access control.
• Implement streaming support for Open Telemetry data from AI Agents into the Data Lake to drive AI evaluation metrics.
• Lead cross-functional architecture reviews and serve as the final escalation point for complex system outages.

Requirements

• 15+ years of experience in software engineering and distributed systems, with 4+ years in a principal or staff-level capacity.
• Deep expertise in Java/J2EE (Spring Boot, Microservices) and Python, focusing on high-performance system architecture.
• Mastery of Data Lakehouse technologies such as Apache Iceberg, Hudi, or Delta Lake.
• Extensive experience with AWS (S3, EMR, Kubernetes, Lambda), Azure, and Terraform.
• Proven track record of leading by influence and driving technology adoption across multiple autonomous teams.
• Experience with LLM-Ops and integrating vector databases to support AI Agent development.

Nice to have

• Contributions to open-source data projects like Spark or dbt.
• Bachelor’s or Master’s degree in Computer Science with a focus on Distributed Systems.

Culture & Benefits

• Comprehensive and market-competitive benefits package designed for personal and professional well-being.
• Opportunity to work in a high-impact role shaping the core technical foundation of a global enterprise.
• Culture of continuous innovation and unparalleled client service.