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Spark Developer

InfraCloud · Remote — India

Remote
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Job overview

Location
Remote — India
Workplace
Remote
Employment type
Full-time
Experience level
Senior
Date posted
Oct 11, 2026
Last checked at the source
Oct 12, 2026
Job source
via Himalayas

Responsibilities

• Contribute fixes and enhancements to the Apache Spark open-source project. • Upgrade and maintain compatibility with newer Spark releases. • Optimize Spark internals for performance, scalability, and reliability. • Design and develop distributed data processing solutions. • Debug complex Spark-related performance and stability issues. • Collaborate with product and platform teams on architecture and technical initiatives.

Skills

Visa and relocation

The posting doesn't mention visa sponsorship. Check the original posting or ask the company.

The posting doesn't mention relocation.

Job description

About the Role We are looking for a Senior Software Engineer with strong expertise in Apache Spark and distributed systems. The role involves working on Spark internals, contributing to the Apache Spark open-source community, and building scalable data processing solutions aligned with the platform requirements. Key Responsibilities • Contribute fixes and enhancements to the Apache Spark open-source project. • Upgrade and maintain compatibility with newer Spark releases. • Optimize Spark internals for performance, scalability, and reliability. • Design and develop distributed data processing solutions. • Debug complex Spark-related performance and stability issues. • Collaborate with product and platform teams on architecture and technical initiatives. Required Skills • Strong experience with Apache Spark internals and distributed systems. • Hands-on experience contributing to open-source projects. • Strong Java and/or Scala programming skills. • Expertise in query execution, distributed processing, and performance optimization. • Strong debugging and problem-solving abilities. • Ability to work independently and drive technical initiatives. Good to Have • Experience with Kubernetes and cloud-native environments. • Knowledge of JVM tuning and system optimization. • Contributions to Apache or other open-source communities. • Experience with large-scale analytics or data platforms. Originally posted on Himalayas Spark-Developer, Big-Data-Engineer, Software-Engineer, Distributed-Systems-Engineer, Apache-Spark-Developer, PySpark-Developer, Spark-Development, Apache-Spark-Development, PySpark-Development, Senior-Java-Spark-Developer, Databricks-Developer, Scala-Developer, Developer
Apply on the original site ↗Job source: via Himalayas

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