• Design, build, and operate the Kubernetes platform that powers GNI network automation, telemetry, and operations across data center, colocation, and cloud environments. • Own the lifecycle management for GNI Kubernetes environments, including cluster onboarding, upgrades, capacity, availability, and recovery. • Develop production-quality software and automation for cluster provisioning, validation, upgrades, remediation, and safe multi-cluster delivery through GitOps. • Provide production support for network services hosted on the platform, working with Network Automation and service teams that retain ownership of application architecture, code, and features. • Diagnose complex Kubernetes platform and hosted-service failures involving control-plane health, cluster networking, storage, scheduling, workload placement, and multi-cluster dependencies. • Drive issues from initial signal through verified resolution. • Define production-readiness and observability standards for the platform and hosted network services, including health signals, capacity, alerts, runbooks, and recovery. • Participate in CFR’s production on-call rotation, including scheduled after-hours and weekend coverage. • Lead incident response and recovery, then drive corrective actions to completion.

• Manage the planning, scheduling and coordination of all client installations including but not limited to software, hardware, server migrations and other projects • Planning, scheduling, coordinating and communicating all elements of delivering site and non-site installations and projects to a high level of client satisfaction • Communicating with all stakeholders including external clients, account managers and engineers to ensure the efficient delivery of projects and installations • Coordinating and communicating the correct allocation of skilled staff within the time constraints to complete projects within client expectations • Providing status reports on all active projects including any risks associated with completing projects on time and on budget as part of a regular reporting cycle • Accurately reflecting engineers service calls in service delivery calendar and effectively communicates client instructions • Effectively communicate schedule changes to all relevant stakeholders • Accurately recording relevant data in all systems • Developing and maintaining effective working relationships with personnel from all departments • Demonstrating and upholding exceptional safety standards at all times in accordance with any workplace health and safety requirements, to ensure your own safety and the safety of others • Other duties as required

• Evolving the AI knowledge platform - taking the retrieval, indexing, and synthesis layer (currently semantic RAG + re-ranking + HyDE) to an organization-wide platform serving both internal engineering tools and customer-facing capabilities. • Architecting and operating agentic infrastructure on AWS - multi-step, tool-using AI systems that plan, retrieve, and act on complex queries and operational events, with cost guardrails and observability built in from day one. • Designing and building graph-based, relationship-aware retrieval across the organization's data sources, enabling multi-hop queries and letting agents accumulate organizational knowledge over time. This is on our roadmap, not in production - you will define the approach. • Partnering with product engineering to define the AI platform API surface, translating infrastructure primitives into developer-ready abstractions. • Building reference agent implementations on the platform - operational-incident triage, customer support, and future agentic use cases - grounding each agent's reasoning in institutional knowledge. • Owning the AI infrastructure cost model: monitoring compute, model, and storage spend, flagging anomalies, and proposing guardrails to keep workloads within defined budgets.

• Work as part of the Infrastructure team on sprints to evolve core platform and systems • Provide infrastructure and CI/CD expertise to wider engineering teams • Automate build and deployment of software to cloud platform • Eliminate repetitive manual operations • Improve monitoring and alerting systems • Participate in on-call rotation and assist with troubleshooting