DevOps Engineer II

Posted on Oct 10

The Department

About the Company

Civis Analytics helps businesses use data to gain a competitive advantage in how they identify, attract, and engage loyal customers and employees. With a powerful combination of best-in-class proprietary data, cutting-edge software solutions, and an interdisciplinary team of data scientists, developers, and survey science experts, Civis works with Fortune 500 companies, and the country’s largest nonprofits, to make data-driven decision-making essential to how the world’s best companies do business.

Your Role

About the Role

Do you have a passion for automation, building high performance technology, and sweating the details? Civis Analytics is looking for a DevOps Engineer to join our team!

At Civis Analytics, we're building a data science platform, making cutting-edge machine learning and predictive modeling techniques available to a broad audience. The DevOps team delivers, maintains, and evolves the infrastructure that makes all of this possible. As a  DevOps Engineer, you will be a key player, helping us create scalable infrastructure-as-code using cutting edge tools. You should have networking and security experience, be familiar with cloud infrastructure, and DevOps best practices.

Requirements

Minimum Qualifications

Bachelor’s degree in Computer Science, related subject, or equivalent work experience
5+ years of experience as a software developer/engineer
Experience working with either AWS or GCP services such as compute, databases, VPCs, networking, permissioning and storage
Experience with automation tools and configuration-as-code (CloudFormation, Ansible, Puppet, Chef, Vagrant, etc.)
Comfortable with Python and Bash
Experience with continuous integration/delivery services
Experience with containerized code deployment
Experience with networking concepts and protocols
Interest and ability to master new technologies

Preferred Qualifications

Experience managing large cloud infrastructures
Experience scaling and ensuring reliability of large SaaS or PaaS applications
Experience with orchestration frameworks such as Kubernetes or Mesos
Experience with security, systems, or application monitoring and metrics

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