Principal Capacity Engineer

CommScope•Sunnyvale, CA

62d•Hybrid

About The Position

I n our ‘always on’ world, we believe it’s essential to have a genuine connection with the work you do. RUCKUS Networks builds and delivers purpose-driven networks that perform in the tough, unique environments of the industries we serve. How You’ll Help Us Connect the World: At RUCKUS Networks , we’re building the next generation of cloud services—and we need engineers who think big. If you love solving complex problems, diving deep into technical challenges, and bringing fresh ideas to the table, this is your opportunity to make an impact. Our mission? To create the foundation that makes cloud service deployment simple, fast, and scalable. As part of the Cloud Infrastructure team, you’ll work on large-scale system design, networking, security, automated orchestration, and more. This is where innovation meets reliability. As a Principal Engineer for Capacity, you’ll ensure our cloud infrastructure can handle today’s demands—and tomorrow’s growth. You’ll focus on performance, scalability, and reliability, combining hands-on development with strategic planning. From analyzing system performance to designing failover mechanisms, you’ll play a critical role in keeping our services resilient and efficient.

Requirements

10+ years in capacity engineering or related domains.
Strong programming skills in Python, Golang , and automation scripting.
Deep expertise in Linux environments .
Hands-on experience with infrastructure management and automation.
Proficiency with APM tools like Prometheus, Grafana, ELK .
Familiarity with hyperscaler platforms ( GCP preferred , AWS, or Azure).

Nice To Haves

Leadership and mentoring experience.
A track record of innovation and proposing creative solutions.
Ability to manage multiple priorities and meet deadlines.
Strategic thinking and strong communication skills.
Self-starter mindset with analytical and problem-solving abilities.

Responsibilities

Anticipate future resource needs and design for scalability.
Continuously monitor system performance and run load tests.
Optimize compute resources to prevent over-provisioning or shortages.
Implement redundancy and failover strategies to minimize downtime.
Automate capacity-related tasks using Python, Bash , and other tools.
Collaborate with development and operations teams to align infrastructure with application needs.