Director, Software Engineer, Customer Success (Data Processing)

Location: Hybrid role based in San Jose, California, United States, with in-office and in-person expectations.

Company

hirify.global develops intelligent data infrastructure, unified storage, integrated data services, and cloud solutions, including the DataPelago data processing platform for large-scale analytics and generative AI preprocessing.

What you will do

• Lead and grow engineering teams responsible for data engineering, data preparation, analytics applications, operations, tuning, and support.
• Drive automated and AI-assisted product validation, anomaly diagnosis, performance tuning, and optimization for the DataPelago platform.
• Ensure preventive, proactive, and responsive product validation and support throughout the customer adoption lifecycle.
• Establish and improve product quality and support quality metrics across customer deployments.
• Improve software development lifecycle practices through AI-enabled approaches that increase code quality, release velocity, and productivity.
• Collaborate with engineering, product management, customer success, sales, customers, and executive management.

Requirements

• Bachelor’s degree in computer science or a related field; a master’s degree is preferred.
• 12+ years of production software development and support experience, including 5+ years managing enterprise software support.
• 10+ years developing and supporting data processing pipelines for data engineering, data preparation, and analytics platforms in production customer environments.
• Deep experience managing global enterprise software support teams, tools, and processes, with a strong customer-support track record.
• Strong understanding of data product validation, performance, reliability, security, cloud deployment, operations, and people management.
• Experience with SaaS, VM-based, container-based, and serverless environments, plus strong customer and executive engagement skills.

Nice to have

• Experience with Apache Spark-based products and pipelines.
• Experience with GCP, AWS, and Apache Spark-related cloud offerings.
• Master’s degree in computer science or a related field.

Culture & Benefits

• Hybrid working environment designed to support collaboration, connection, and culture.
• Flexible workplace practices that support work-life balance.
• Collaborative, high-performance, and high-integrity work culture.
• Opportunities to work on DataPelago Nucleus and its large-scale production data processing applications.
• Equal employment opportunity and compliance with applicable federal, state, and local laws.

Hiring process

• Applications are reviewed only when submitted through the company website.
• Some stages of the process may use AI tools to support application evaluation and candidate selection.