Not specified; not specified; benefits include phy...
Fully remote
Expertise in openstack platform engineering
Deep linux systems engineering knowledge
Virtualization and networking troubleshooting
Comcast is seeking an OpenStack Platform Engineer to join their Global Cloud Technologies team, focusing on designing, optimizing, and deploying a multi-region private cloud environment. Ideal candidates will have expertise in Linux systems engineering, virtualization, and automation, with a strong emphasis on security and data-driven decision-making
Job Summary
The Comcast Cloud Team is seeking an engineer to design and optimize a massive multi-region private cloud environment supporting tens of thousands of virtual machines.
Candidates must possess a security-first mentality to integrate evolving compliance requirements into new OpenStack product releases.
Comcast offers a culture that encourages innovation, recognizes authentic self-expression, and invests in employee ideas through award-winning technology teams.
Matching Summary
Match Score: 85
Comcast is seeking an OpenStack Platform Engineer to join their Global Cloud Technologies team, focusing on designing, optimizing, and deploying a multi-region private cloud environment. Ideal candidates will have expertise in Linux systems engineering, virtualization, and automation, with a strong emphasis on security and data-driven decision-making.
Salary
Not specified; Not specified; Benefits include physical, financial, and emotional support options
Skills & Requirements
Must-have
Expertise in OpenStack platform engineering
Deep Linux systems engineering knowledge
Virtualization and networking troubleshooting
Security-first mentality and compliance integration
Experience with large-scale system optimization
Nice-to-have
Proficiency in Python or GoLang scripting
Experience writing Ansible playbooks
Prior contributions to open-source software
Knowledge of Ceph storage management
AI and MML experience
Key Requirements
5-7 years relevant experience
Bachelor's Degree preferred
Expertise in Engineering processes and data-driven decision making