Spark Developer

Job not on LinkedIn

🕒 May 19

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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InfraCloud Technologies

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

InfraCloud Technologies is a company specializing in cloud native technologies and services. They provide expertise in building, modernizing, and managing cloud infrastructure using Kubernetes and open source technologies. InfraCloud offers a range of services such as AI infrastructure consulting, platform engineering, and application modernization. The company is recognized for its capabilities in DevSecOps, observability, and containerization, and is a trusted partner for deploying and managing Kubernetes-based solutions. They also contribute to open-source projects, enhancing their offerings in areas like site reliability engineering and cloud native product development.

📋 Description

• 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.

🎯 Requirements

• 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.