Full-Time Senior Infrastructure Engineer

This role involves maintaining and improving the Data Pipeline infrastructure and supporting the migration to containerized services.

Maintain and improve the Data Pipeline infrastructure consisting of Confluent Kafka, Kubernetes clusters, Cloud Composer, CloudSQL, and BigQuery

Introduce Terraform to automate the management of Data Pipeline infrastructure

Support the migration of the Data Pipeline to golden-path containerized services

Manage cloud hosted VMs in Google Cloud Platform

Automate repetitive manual processes

Maintain up to date VMs

Document technical architecture and user features

Educate engineers on tool usage and possible process improvements

Assist in defining the team’s roadmap

Work closely with Engineers to gather requirements

Create and monitor statistics to observe tooling health and functionality

Work and collaborate with distributed teams across the world

Qualifications

• At least 5 years experience as an Infrastructure or Software Engineer
• Completed either a comprehensive software engineering boot camp, CS, CE, SW, MIS or equivalent degree, or has relevant work experience
• Knowledge of configuration management systems such as Puppet, Chef, or Ansible (we use Puppet)
• Experienced with Linux systems administration, including solid scripting skills (Ruby) and Bash
• A solid understanding of modern programming and design principles
• Ability to write tested, maintainable code
• A good communicator who works well with geographically distributed teams
• Excited to explore and engage in new languages, tools, and technologies
• Experienced in leading a project initiative
• Comfortable working on several projects
• Desire to work in a collaborative, open environment on an Agile team as a contributor and mentor
• Highly proactive and results-oriented with excellent critical thinking skills

Requirements

• Familiarity with data pipeline concepts and technologies (bonus points)

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