Introduction “Turbonomic is the World’s leading Application Resource Management (ARM) company assuring application performance across on-premise, multi-cloud, and cloud-native environments. We enable Application Performance that’s scalable, proven and cost efficient. At Turbo, we’ve invested nearly $200 million over 10 years to build the best real-time and continuous AI analytics solution that provides answers so accurate they can be executed automatically. Come see why more than 2,000 Turbo customers, including 26% of the Fortune 500, are using ARM to assure performance of their mission-critical business critical applications.”
Your Role and Responsibilities As a Cloud Software Engineer at Turbonomic, you will get first-hand experience in building features that use cutting edge Compute, Storage and PaaS services in the Cloud. You will work with the latest cloud native K8s technology on which our platform is based. On the cloud team, you will design and build solutions for assuring application performance in the cloud. This involves designing & developing scalable, robust features that solve real world problems for our customers. A good understanding of how “cloud first” applications are built and knowledge of cloud services offered by different cloud vendors is a big plus to hit the ground running. Good technical expertise in building scalable, performant, high quality software with an emphasis on customer centric focus is key. The tech stack is: Java, Docker, Kubernetes, Kafka, Protobuf, REST, React.”
Required Technical and Professional Expertise
5+ years experience in Software Development
Good knowledge of algorithms and data structures
Good software development and debugging skills
Exposure to Agile / Scrum methodology
Java, C++, Go, Python, Javascript or other modern OOP languages
Experience in the development of microservices for distributed systems
Design and develop automation test systems for software issue automatic detection
Agile and Scrum development methodologies
1+ years of experience in Cloud technologies (such as AWS, Azure, GCP)
