InfraCloud Technologies
201 - 500 employees
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS • Cloud Engineering
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.
Senior Spark QA Engineer
Job not on LinkedIn
🕒 May 19
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InfraCloud Technologies
201 - 500 employees
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS • Cloud Engineering
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
• Perform manual and automated testing of Spark jobs, Spark SQL queries, and ETL pipelines. • Execute functional, scalability, and performance testing for Spark workloads. • Set up and manage Spark clusters on Standalone, YARN, Kubernetes, Mesos, Databricks, EMR, and Dataproc. • Conduct benchmarking, validation, and performance analysis of Spark applications. • Identify bottlenecks and troubleshoot distributed system issues. • Lead QA initiatives and mentor team members.
🎯 Requirements
• 5+ years of QA/testing experience with strong hands-on expertise in Apache Spark. • Experience in functional and performance testing of distributed systems. • Strong understanding of Spark architecture and optimization techniques. • Experience with Kubernetes and cloud-based Spark environments. • Proficiency in Python or Java. • Experience with automation frameworks and CI/CD pipelines.
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