Software Engineer, Customer Success (Data Processing)

Location: Hybrid role in the United States, with locations including Bellevue, Washington; Mountain View, California; Sunnyvale, California; San Jose, California; San Francisco, California; and Santa Clara, California.

Salary: $170,000–$253,000 per year, with final compensation based on location, qualifications, experience, and education.

Company

hirify.global develops intelligent data infrastructure, unified storage, integrated data services, and cloud solutions. The DataPelago team builds accelerated data processing products for analytics and GenAI preprocessing.

What you will do

• Develop synthetic workload queries and datasets for testing DataPelago Accelerator for Spark and field-representative environments.
• Build analysis and diagnostic tools for logs from DataPelago products, Apache Spark, and deployment environments.
• Handle customer support issues, escalating problems when necessary.
• Plan and execute end-to-end product validation in collaboration with engineering and support teams.
• Analyze validation and customer artifacts to identify tuning opportunities, usage recommendations, and product bugs.
• Use automation and AI to improve product validation and support, and create bug reports, RCA documents, configuration guides, and best-practice documentation.

Requirements

• Bachelor’s degree in computer science or a related field.
• 8+ years of experience developing, validating, and supporting enterprise data processing software products.
• 2+ years of direct support experience with external customers.
• 2+ years supporting Apache Spark pipelines, including Spark jobs, resource provisioning, parameter tuning, Spark UI, Spark History Server, and event-log analysis.
• Strong knowledge of SQL and Python, with proficiency in data-product testing and test automation.
• Understanding of cloud deployment and operations across SaaS, VM-based, container-based, and serverless environments; customer engagement and communication skills.

Nice to have

• Experience with GCP, AWS, and their Apache Spark-related offerings.

Culture & Benefits

• Hybrid working environment with in-office and in-person expectations.
• Health insurance, life insurance, retirement or pension plans, paid time off, and leave options.
• Performance-based incentives, employee stock purchase plan, and potential restricted stock units.
• Culture focused on initiative, ownership, collaboration, innovation, and work-life balance.

Hiring process

• Applications are reviewed through the company website.
• Selected hiring stages may use AI tools to support, but not replace, human decision-making.