In All Media
SaaS • Enterprise • B2B
In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.
1001 - 5000 employees
☁️ SaaS
🏢 Enterprise
🤝 B2B
Senior Software Engineer – Java, Apache Spark
Job not on LinkedIn
November 19
In All Media
SaaS • Enterprise • B2B
In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.
1001 - 5000 employees
☁️ SaaS
🏢 Enterprise
🤝 B2B
📋 Description
• Maintain and improve index builder products. • Troubleshoot and resolve reported issues. • Support user questions and technical inquiries. • Improve stability and performance of index builders. • Optimize compute cost and resource usage. • Persist Yarn logs and Spark history for terminated clusters. • Capture and analyze metrics for UserCohort. • Reduce core instances for EMR high-priority clusters. • Deprecate legacy index builders as Central Exposure Dataset goes live. • Support code freshness and overall platform health.
🎯 Requirements
• Senior level experience (5-7 years) building data-processing or backend systems. • Strong experience in Java (recommended Java 8+ / Java 11). • Hands-on experience with Apache Spark (Spark 2.4+ / Spark 3.x preferred). • Knowledge of distributed systems and data processing workflows. • Experience with debugging, performance tuning, and optimizing compute resources for large-scale data jobs. • Proven ability to troubleshoot production issues and support internal users. • Familiarity with AWS EMR or similar big data environments (e.g., Dataproc).
🏖️ Benefits
• Remote-first role requiring overlap with US Central Time (CT) business hours
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