Job Description

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)



Preferred Technical and Professional Expertise

• Cloud certifications: AWS, Azure, GCP
• Experience with K8s
• Experience with Linux systems



About Business UnitIBM Software infuses core business operations with intelligence--from machine learning to generative AI--to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments--a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

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