DevOps - Engineer

WANT TO JOIN OUR TEAM?
WE CAN't WAIT.

JOB DESCRIPTION

The DevOps Engineer will work with a team in the creation of CI pipelines that test and deploy backend web servers, API servers, analytics dashboards, and mobile applications for internal and external client stakeholders. The engineer will work with the CTO/Solution Architect, developers, and product owners to understand and document requirements and decide on the best solutions. The engineer will also be expected to provide technical support and mentorship to the junior team members to facilitate skill development. This is a 6 - 9 month internship with the possibility of an extension and/or salary based on performance, job requirements, and availability of the selected candidate.

Department: Technology

Reports to: Vikas Wadhwa,

Location: Chicago, Illinois

WHO WE ARE

Our team's digital inventiveness and mobile location expertise creates brand stories that produce results. We are seasoned professionals who have worked in marketing, technology, mobile, and beyond. Our skills include Micro-fencing, mobile strategy, data analytics, and more.

THIS POSITION WILL ENTAIL:

Responsible for supporting the users of the infrastructure
Developing the first line of defense is protecting the cloud against hackers and viruses
Build secure software from the start
Perform activities like design, develop, test and release software to consumers
Establish Reliable IT troubleshooting techniques
Design and maintain Consistent internal and external methods for improved automation

DESIRED SKILLS QUALIFICATIONS:

Multiple positions are available.

Excellent communication skills
The ability to convey complex analysis clearly and with conviction to all levels of stakeholders
Experience with SQL & noSQL databases, unit testing, integration testing, bash scripting, Docker, docker-compose
Experience with DevOps tools such as Jenkins, Chef, Puppet, Terraform, Ansible or others
Experience working on teams with Android, iOS, & JavaScript/full stack developers

REQUIRED EDUCATION AND WORK EXPERIENCE:

Master's or equivalent experience in a quantitative field (Computer Science, Physics, Mathematics, Engineering, Bioinformatics, etc.)

PREFERRED QUALIFICATIONS:

Prior start-up experience
An appreciation for TDD, a strong understanding of the common challenges associated with cloud data storage, access, and management
Understanding of the role of Machine learning and statistical modeling in product development
Strong technical skills in data analysis, machine learning and programming. Strong working knowledge of Python, Hadoop, SQL