Sr. Software Engineer, Data Processing OSS

Location: Remote in the United States; San Jose, California

Salary: $196,350–$292,600 per year, with compensation determined by location, qualifications, experience, and education.

Company

hirify.global develops intelligent data infrastructure, unified storage, integrated data services, and cloud-based solutions for enterprise workloads and AI.

What you will do

• Architect how the DataPelago data processing engine interfaces with open-source platforms and engines.
• Design functional and performance enhancements for Apache Gluten, Velox, and related platforms.
• Design, implement, test, optimize, and maintain core data processing engine components.
• Analyze open-source technology roadmaps and identify opportunities for product differentiation.
• Collaborate with engineering, product management, open-source communities, and customer success teams.
• Improve design reviews, code reviews, testing, CI/CD, issue resolution, security, and product quality.

Requirements

• 12+ years of relevant experience and a bachelor's degree in Computer Science or a related field, or a master's degree in Computer Science.
• 3+ years of deep technical experience developing core components of large-scale data processing platforms such as Apache Spark, Apache Flink, Apache Doris, Apache Gluten, Velox, Apache DataFusion, or equivalent systems.
• 3+ years of experience instrumenting, analyzing, and optimizing data processing engine performance on benchmark and customer workloads.
• Strong knowledge of the architecture and internal operation of Apache Spark, Apache Flink, or Presto/Trino.
• Experience designing, developing, and releasing high-performance data processing engines for large production deployments.
• Exceptional programming skills in C, C++, and Java, plus extensive Linux development experience.

Culture & Benefits

• Remote work is available for the United States, with some in-office or in-person expectations communicated during the recruitment process.
• Benefits may include health insurance, life insurance, retirement or pension plans, paid time off, leave options, performance-based incentives, employee stock purchase plans, and restricted stock units.
• Work with open-source communities and engineering teams advancing parallel processing, query optimization, distributed systems, compilers, machine learning, and cloud-native computing.
• Equal employment opportunity and a culture that values initiative, ownership, diverse perspectives, and problem solving.