About the role
The Engineering Intern will be a part of a fast-paced and highly motivated engineering team responsible for the architecture and implementation of our high-performance Data Platform. You will work as part of a cross-functional agile team to help enhance the microservices and infrastructure deployed in the platform. This is a fully containerized based environment deployed across multiple cloud service providers.
Capstone Overview
You will research and implement a method for monitoring workload within the platform and scale the service resources in response. This will help optimize resource allocation across the platform ensuring responsiveness during times of heavy load and cost savings during quiet times.
Responsibilities:
Understanding high level architecture of data platform and how to deploy services
Evaluate how existing technologies can be used to monitor load in the system
Develop code and relevant unit tests to implement load monitoring
Create prototypes and deploy them to test environment for evaluation
Nice to have:
On a Computer Science or similar degree program.
Javascript and/or Typescript knowledge
Containerization or Kubernetes experience
Familiar with one or more cloud service providers e.g AWS or GCP
Requirements:
Must be actively enrolled in a college degree program
Must be legally authorized to work in the Country of Employment
About the company
At Actian we believe data should be a competitive advantage. Through the deployment of data technology, underpinned by a relentless and trusted service commitment, we help business critical systems transact and integrate at their very best. As a trusted leader in data management, integration, and analytics, our mission is to helping businesses unlock the full potential of their data to drive better decision-making and innovation wherever it resides — in the cloud, on-premises, or hybrid environments.
With a global team of experts and a culture of innovation, we're dedicated to helping our customers solve their most complex data challenges.
