Big Data DevOps Engineer

Overview:

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities:

This role would be a contract position with possibility of conversion upon management discretion.

As the Dev-ops engineer, you will do the following:

Work in an AGILE team with other engineers and team leads on the feature deployment activities to achieve the sprint goals.

Create CI/CD script for auto-deployment of new features.

Help scale up or scale down the resources based on data load.

Work in a team to turn innovative ideas into robust software and solve complex design and implementation problems.

Maintain our production servers to achieve maximum uptime.

Qualifications:

Basic Qualifications:

Bachelor’s degree in Computer Science, Computer Engineering, or a software-related discipline, from an accredited college or university

Must have hands-on experience in maintaining Big Data tools and services.

Experience in CI/CD tools such as Selenium, Jenkins and JIRA.

Experience with container platforms like OpenShift, Kubernetes or docker

Experience with configuration management tools like Ansible (preferred), Chef or Puppet.

Experience with version control tools like Gitlab or bit-bucket.

Experience in Linux environment, Linux networking and shell scripting.

Proven success working in a team-oriented environment and demonstrated problem-solving skills.

Must have an ability to identify, formulate, and solve engineering problems.

Desired Qualifications:

Experience in bringing up Hadoop clusters and installing various packages.

Experience in implementation, and deployment of high volume, highly available, cloud-based systems would be a plus.

A proactive and eager nature for tackling new challenges