Lenovo
Golang Developer
LenovoSingapore7 days ago
Full-timeEngineering, Information Technology
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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 www.lenovo.com, and read about the latest news via our StoryHub.

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 container platforms using Golang, focusing on control plane extensions, operators, and cloud-native service meshes .

Implement and optimize Kubernetes networking (CNI plugins like Calico/Cilium) and storage solutions (CSI drivers, Rook/Ceph 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 frameworks for cluster lifecycle management, security hardening, and observability using Golang (primary) and Python (secondary for scripting) .

Collaborate with infrastructure 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 production-grade systems with Goroutines, interfaces, and standard library (e.g., net/http, 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 Proficiency: Hands-on experience selecting and implementing CNI (VXLAN/BGP modes) and CSI solutions (RBD, iSCSI), with performance benchmarking skills .
  • Linux/Container Expertise: Proficient in cgroups, namespaces, and container runtimes (containerd, CRI-O) for debugging resource leaks or security flaws .

Experience

  • 3+ years developing cloud infrastructure with Golang as primary language, including at least one 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 approach to system design and failure root-cause analysis.
  • Ability to document complex technical concepts for cross-team alignment.

Preferred Add-ons

  • Kubernetes SIG contributions (e.g., networking, storage, or scheduling working groups) .
  • Experience with eBPF-based tools (Cilium, Pixie) for advanced network observability .
  • Proficiency in Python for infrastructure scripting (Ansible/Terraform integrations) or Java for enterprise service interoperability .
  • Familiarity with service meshes (Linkerd, Istio) and GitOps pipelines (Argo CD, Flux) .
  • Knowledge of cloud-native security (OPA/Gatekeeper, Kyverno) and AI/ML workload optimization .

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

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