Platform Engineer managing technical infrastructure for subtitles and language services in film and streaming. Collaborating with development and product teams to ensure system performance and scalability.
About the role
- Kubernetes Platform Engineer working with self-managed clusters and AI infrastructure. Collaborating with a team to design and operate Kubernetes solutions and automate operational tasks.
Responsibilities
- Design, build, and operate self-managed Kubernetes clusters (OpenShift / Anthos)
- Manage and maintain etcd (backup, restore, quorum management, defrag)
- Perform control plane upgrades and lifecycle management
- Tune API server, scheduler, and controller manager for performance and reliability
- Debug node-level and control-plane issues across large clusters
- Implement networking (CNI), storage (CSI), and ingress integrations
- Implement and extend runbook automation frameworks to reduce operational toil
- Integrate AI agents that monitor cluster telemetry, detect anomalies, and trigger automated workflows
- Apply statistical or ML-based models on operational data to predict failures, capacity saturation, or workload misbehavior
- Build self-healing controllers and automated remediation pipelines
- Implement predictive capacity planning and intelligent alert suppression workflows
- Build Kubernetes controllers and operators (Go + controller-runtime)
- Develop CRDs and admission webhooks to extend platform functionality
- Automate cluster lifecycle and multi-cluster operations
- Implement policies for workload isolation, governance, and compliance
- Enable GPU and high-performance infrastructure for AI/ML workloads
- Optimize scheduler and resource allocation for memory- and compute-intensive workloads
- Support orchestration of AI/ML pipelines
Requirements
- 5+ years of software engineering experience
- 3+ years operating Kubernetes in production with hands-on control plane experience
- Experience managing etcd (backup, restore, recovery) and performing control plane upgrades
- Strong Go programming skills
- Experience building Kubernetes operators/controllers and developing CRDs/webhooks
- Deep understanding of scheduler, API server, controller loops, and reconciliation
- Experience debugging and troubleshooting large-scale distributed systems
- Candidates without on-prem or self-managed Kubernetes control plane experience will not be considered.
Benefits
- medical, dental and vision insurance
- 401(k) plan with a Cisco matching contribution
- paid parental leave
- short and long-term disability coverage
- basic life insurance
- 10 paid holidays per full calendar year
- 1 floating holiday for non-exempt employees
- 1 paid day off for employee’s birthday
- paid year-end holiday shutdown
- 4 paid days off for personal wellness
- 16 days of paid vacation time per full calendar year
- flexible vacation time off program
- 80 hours of sick time off provided on hire date and each January 1st thereafter
- additional paid time away may be requested
- 10 paid days per full calendar year to volunteer
- potential grants of Cisco restricted stock units
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