Software Engineer University Grad - Infrastructure
One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.
Job Responsibilities
The Global Infrastructure Team at Viasat provides a highly available, scalable, and secure platform that powers our commercial and government products and services. This platform spans public cloud and on-premises infrastructure and involves a fair amount of open-source software.
As a key member of the orchestration and shared services teams providing platform services to the company, you will directly impact Viasat and its millions of customers. Your day to day will also include deploying and supporting global deployments to bare metal, virtualized, and cloud environments as well as working on shared services and monitoring for those deployments. Your responsibilities will range from large scale services that handle lifecycle management of applications (containers, functions, etc.), shared services, and monitoring, to writing APIs that integrate with various cloud providers to evaluating and improving open source software used in our terrestrial networks. Automation of deployments as well as crafting deployment frameworks and pipelines for CI/CD managed systems.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, Mathematics, and/or a related field
- Previous experience with Linux and software programming languages such as Python, Go, JavaScript, or C/C++
- Previous experience with automation, cloud technologies, virtualization, and/or source code tools
- Knowledge or experience with deployment tools such as AWS, Google Cloud, Azure, Git, Artifactory, Jenkins, Puppet, CHEF, Ansible, Docker, and/or Kubernetes
- Exposure to network programming, networking fundamentals, and systems programming.
Preferences
- Master's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, Physics, Mathematics, and/or a related field
- Experience with deploying applications in virtualized and container environments using automation
- Exposure to monitoring systems and their underlying applications
- Previous experience with Machine Learning
- Knowledge of system security principles and kernel tuning