Principal Kubernetes DevOps Engineer

Requirements

• We are seeking a Principal Kubernetes Dev Ops Engineer who combines deep technical expertise with broad system understanding
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• This engineer should be capable of diving into a wide range of services and identifyingsystemic issues across architecture, CI/CD flow, and containerization environments
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• This role requires technical leadership, analytical skill, and cross-team collaboration to drive reliability, scalability, and modernization
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• 15+ years in Dev Ops, SRE for large-scale, production systems. successful hands-on background in Linux systems, networking, and distributed systems
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• Possess experience operating and design low-latency, high-throughput backend services at global scale. Knowledge of media or real-time communication systems (e.g., MMR, WebRTC)
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• Recognize knowledge of TCP/IP, routing, DNS, load balancing, and packet capture tools. Familiarity with colocation data center operations, including hardware provisioning and troubleshooting
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• Demonstrate experience with Terraform, Ansible, Kubernetes, Docker, and modern CI/CD pipelines. successful problem-solving, debugging, and systems-level design skills
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• Occasional weekend work may be required
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• Ability to work across the globe or multiple time zones

• At Zoom, we’re building the next generation of Cloud and Colocation (Colo) infrastructure that powers seamless communication and collaboration for millions of users worldwide
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• Leading deep-dive investigations across diverse services and environments. Working on real time media systems to web, team chat and AI to uncover architectural or operational bottlenecks
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• Designing and implementing improvements in deployment pipelines, orchestration frameworks, andCI/CD automation to increase reliability and release velocity
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• Working closely with product and service owners to enhance containerization strategy, improve resource efficiency, and reduce operational friction
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• Partnering with the Meeting Dev Ops and Cloud Infra teams to modernize hybrid infrastructures panning colocation data centers, AWS, OCI, and other cloud providers
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• Driving system observability, fault isolation, and resilience engineering, ensuring services meet strict availability and latency SLAs
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• Providing technical mentorship to Dev Ops engineers and influence best practices in automation, monitoring, and release engineering. Champion a culture of data-driven reliability through postmortems, SLIs/ SLO's, and continuous performance optimization