Cloud Architect Lead Engineer
$60k – $80k • 0.0% – 0.5%
Published: 1 month ago
KemSENSE
Intelligent, RFID based, chemical sensing
The Role
• Leverage your extensive coding experience in evaluating, prototyping and benchmarking emerging technologies for our product roadmap while overseeing the architecture and development of a scalable, robust and high performance Cloud based application that will be utilized by enterprise customers in real-time scenarios.
• Identify/select/develop appropriate Cloud software architecture and on-premises applications with efficient scalability, throughput and availability that will collect, store, retrieve and analyze real-time data from globally deployed RF sensor devices and reader products.
• Explore applicability of various coding platforms and their impact on our overall Big Data ecosystem involving Hadoop/YARN, Spark and other analytical/streaming applications.
• Design and implement use cases, where applicable and develop requirements for new feature enhancements and product line extensions.
• Interface with internal and external customers and platform vendors to stay abreast of technology trends and communicate performance requirements, as needed.
• Ensure powerful designs, including a resilient and robust architecture while delivering on system performance goals.
• Once architecture is built and deployed, consistently evaluate systems, configurations, processes and procedures and make recommendations to management regarding technology improvements, upgrades and modifications.
• Ensure technologies remain leading edge and consistent with KemSENSE performance, cost and quality targets.
• Identify/select/develop appropriate Cloud software architecture and on-premises applications with efficient scalability, throughput and availability that will collect, store, retrieve and analyze real-time data from globally deployed RF sensor devices and reader products.
• Explore applicability of various coding platforms and their impact on our overall Big Data ecosystem involving Hadoop/YARN, Spark and other analytical/streaming applications.
• Design and implement use cases, where applicable and develop requirements for new feature enhancements and product line extensions.
• Interface with internal and external customers and platform vendors to stay abreast of technology trends and communicate performance requirements, as needed.
• Ensure powerful designs, including a resilient and robust architecture while delivering on system performance goals.
• Once architecture is built and deployed, consistently evaluate systems, configurations, processes and procedures and make recommendations to management regarding technology improvements, upgrades and modifications.
• Ensure technologies remain leading edge and consistent with KemSENSE performance, cost and quality targets.
More about KemSENSE
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