DevOps Engineer

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Lenovo

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python Kubernetes Linux Prometheus Grafana Azure ELK CI GitLab CI Docker Terraform AWS GitLab

Job Description

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 www.lenovo.com, and read about the latest news via our StoryHub.

About The Role

We are seeking an experienced DevOps Engineer to enable, automate, and scale our engineering platforms across AI-driven applications, internal developer tooling, and datacenter/infrastructure systems.

This role plays a critical enabling function across teams—partnering closely with software engineers, AI engineers, infrastructure/platform teams, and IT to build reliable CI/CD pipelines, cloud and on‑prem automation, secure environments, and scalable deployment workflows.

The ideal candidate is hands‑on, system‑oriented, and comfortable working across cloud, on‑prem servers, AI services, and modern DevOps toolchains.

Key Responsibilities

Platform CI/CD

  • Design, build, and maintain CI/CD pipelines for backend services, internal tools, and AI‑powered applications.
  • Standardise build, test, release, and deployment workflows across multiple engineering teams.
  • Integrate AI‑based tooling (e.g. LLM services, automation jobs) into CI/CD pipelines where applicable.

Infrastructure Automation

  • Automate infrastructure provisioning using Infrastructure as Code (Terraform, Bicep, ARM, CloudFormation).
  • Manage and optimise cloud (Azure/AWS/GCP) and on‑prem / datacenter environments.
  • Support automation for server provisioning, configuration management, and monitoring.

Cloud AI Enablement

  • Enable secure deployment and operation of AI services (OpenAI / Azure OpenAI / LLM APIs).
  • Support internal AI applications such as document translation, summarisation, chatbots, and RAG systems from an infrastructure and deployment perspective.
  • Partner with engineering teams to productionise AI POCs reliably.

Observability, Reliability Security

  • Implement and maintain logging, monitoring, and alerting (Prometheus, Grafana, ELK, Azure Monitor, etc.).
  • Drive SRE best practices: uptime, performance, incident response, and post‑mortems.
  • Ensure compliance with internal security standards (secrets management, access control, network security).

Collaboration Enablement

  • Work closely with software engineers, AI engineers, DevOps, IT, and infrastructure teams.
  • Act as an enabler for engineering productivity through automation and tooling.
  • Contribute to internal documentation, runbooks, and DevOps best practices.
  • Support cross‑team onboarding and platform adoption.

Requirements

Core Skills

  • 4+ years of experience in DevOps, SRE, or Platform Engineering roles.
  • Strong experience with CI/CD tools (GitHub Actions, Azure DevOps, GitLab CI, Jenkins).
  • Hands‑on experience with cloud platforms (Azure preferred; AWS/GCP acceptable).
  • Proficiency in scripting or automation (Python, Bash, PowerShell).
  • Experience managing containerised workloads using Docker and Kubernetes.
  • Strong understanding of Linux systems, networking, and security fundamentals.

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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