Golang Developer

Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our StoryHub . Description and Requirements We are seeking a skilled Golang Engineer to design and implement comprehensive monitoring and observability solutions for our cloud infrastructure. This role is responsible for building scalable monitoring systems that provide real-time visibility into system health and performance across Linux, OpenStack, and Kubernetes environments. Key Responsibilities Design and develop core components of Kubernetes-based contai ner platforms using Golang , focusing on control p lane extensions, operators, and cloud-native service meshes . Implement and optimize Kubernetes networking (CNI plugins like Cali co/Cilium) and storage solutions (CSI drivers, Rook/Cep h integration), addressing challenges in multi-tenant isolation and high-throughput data paths . Troubleshoot deep-level Kubernetes issues (e.g., etcd corruption, kube-scheduler deadlocks, CNI policy conflicts) using Golang debugging tools ( pprof , delve ) and log analysis . Build automation framew orks for cluster lifecycle management, security hardening, and observability using Golang (primary) and Python (secondary for scripti ng) . Collaborate with infras tructure teams to align platform capabilities with AI workload requirements, optimizing resource scheduling for GPU/accelerator workloads . Qualifications Technical Expertise : Mastery of Golang : 3+ years building pro duction-grade systems with Goroutines, interfaces, and standard library (e.g., net/ , k8s.io/client-go ) . Kubernetes Internals : Deep understanding of control plane components (API server, scheduler, controller manager) and ability to extend via CRDs/Operators . Network/Storage Profici ency : Hands-on experience s electing and implementing CNI (VXLAN/BGP modes) and CSI solutions (RBD, iSCSI), with performance benchmarking skills . Linux/Container Experti se : Proficient in cgroups , namespaces, and container runtimes (containerd, CRI-O) for debugging resource leaks or security flaws . Experience : 3+ years developing clo ud infrastructure with Golang as primary langu age , including at least on e major Kubernetes platform project (e.g., cluster autoscaler, custom scheduler) . Demonstrated ability to resolve critical production issues (e.g., etcd leader election failures, network policy drops) in large-scale clusters (>1k nodes) . Soft Skills : Rigorous analytical app roach to system design and failure root-cause analysis. Ability to document com plex technical concepts for cross-team alignment. Preferred Add-ons Kubernetes SIG contribu tions (e.g., networking, sto rage, or scheduling working groups) . Experience with eBPF-based tools (Cilium, Pixie) for ad vanced network observability . Proficiency in Python for infrastructure scr ipting (Ansible/Terraform integrations) or Java for enterprise service interoperability . Familiarity with service meshes (Linkerd, Istio) and GitOps pipelines (Argo CD, Fl ux) . Knowledge of cloud-native security (OPA/Gatekeeper, Kyver no) and AI /ML workload optimization . Additional Locations : * Singapore - Central Singapore - Singapore * Singapore - Central Singapore - SINGAPORE If you require an accommodation to complete this application, please #J-18808-Ljbffr