• Act as the Level 2 escalation point for support teams, owning complex incidents and service requests requiring advanced infrastructure expertise • Collaborate with Level 1 support, senior engineers, project teams, and vendors to resolve issues efficiently • Mentor and guide Level 1 engineers by sharing troubleshooting techniques and providing clear direction for recurring issues • Support and maintain infrastructure across: Networking, Servers, Virtualisation, Storage, Backup, Cloud platforms • Administer and troubleshoot AWS and Microsoft Azure environments, including: Connectivity, Access management, Compute resources, Service availability • Lead and contribute to infrastructure upgrades, patching, and changes in alignment with change control processes • Investigate and resolve issues across: Network, Servers, Operating systems, Cloud, Applications • Perform root cause analysis (RCA) to reduce recurring incidents • Maintain comprehensive technical documentation, knowledge base articles, and incident records • Identify opportunities to enhance: Monitoring, Alerting, Operational processes, Infrastructure reliability • Leverage scripting and automation to streamline operations and reduce manual effort • Drive service improvement through insights, lessons learned, and actionable recommendations • Adhere to security, compliance, and change management policies • Support audits, evidence collection, and vulnerability remediation activities • Proactively escalate risks and service-impacting issues to senior stakeholders.

• Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents. • Act as a senior escalation point for operational teams during critical service-impacting events. • Support large-scale NVIDIA GPU infrastructure and high-performance networking environments. • Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues. • Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks. • Lead root cause analysis activities and drive long-term corrective actions. • Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges. • Participate in major incident management and service restoration activities. • Provide technical leadership for Kubernetes platform operations and supporting infrastructure services. • Drive improvements in platform reliability, observability, monitoring, and operational processes. • Identify opportunities to automate repetitive operational activities and improve operational efficiency. • Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions. • Support the adoption and operation of AI-powered infrastructure services and operational capabilities through k0rdent AI. • Evaluate emerging technologies and operational practices to improve service delivery and platform resilience. • Mentor and support AI Infrastructure & Platform Operations Engineers. • Share technical knowledge through documentation, training sessions, and operational reviews. • Develop and maintain operational standards, runbooks, troubleshooting guides, and best practices. • Help define operational processes, escalation paths, and service reliability standards. • Act as a trusted technical advisor during operational planning and service improvement initiatives.

• Design and build scalable short-form video infrastructure • Architect video ingestion and transcoding pipelines • Optimize playback performance across mobile and web • Design scalable media delivery systems • Build APIs supporting high-volume video engagement • Help architect recommendation and engagement systems • Work on low-latency media infrastructure • Collaborate with frontend, mobile, AI, and platform engineers • Help optimize infrastructure for global fan engagement at scale

• Design and build scalable social feed infrastructure • Architect timeline and follow systems • Build real-time fan conversation infrastructure • Design notification and engagement systems • Help architect distributed event-driven systems • Build scalable APIs for social interaction • Work on moderation and communication infrastructure • Help optimize systems for global scale and low latency • Collaborate with frontend, mobile, AI, and platform engineers