Senior DevOps/Platform Engineer

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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.

Senior DevOps / Platform Engineer AI Platform

About Our Team

Lenovo is buildingQuantum, a nextgeneration hybrid AI platform that spans Windows, Android, and cloud. As part of this vision, we are expanding the engineering organization supportingQira, Lenovo's crossdevice Personal AI.

We are hiringSenior DevOps / Platform Engineersto build and operate the core automation, infrastructure, and service platforms that enable secure, reliable, and highvelocity delivery of Qira's AI systems across device, edge, and cloud.

Depending on your background, you may be aligned to Platform Engineering, Observability, Operations, or Service Reliabilitybased on experience and organizational need.

Qira operates with thespeed, ownership, and creativity of a startup, supported by the scale, resources, and technical depth of Lenovo. We are building foundational systems from the ground upintentionally, pragmatically, and with a culture of engineering excellence.

What You Might Work On

As a Senior DevOps / Platform Engineer, you may be responsible for a subset of the following areas depending on team placement:

CI/CD, Automation Tooling

• Designing, implementing, and improvingCI/CD pipelinesfor AI, platform, and application teams.
• Building automation and developer tooling to improve productivity and consistency.
• Developinginfrastructureascodefor cloud and hybrid environments (Terraform, Bicep, etc.).
  
  

Platform Infrastructure Engineering

• Implementing scalable, secure, and resilient infrastructure onAzureand Kubernetes.
• Building and operating hybrid systems spanningdevice,edge, and cloud compute.
• Enabling reliable platform services that support inference, data pipelines, and highperformance AI workloads.
  
  

Observability Telemetry

• Implementing and enhancing observability systems usingOpenTelemetry,Grafana, Prometheus, Loki, and related tooling.
• Ensuring platform telemetry is accurate, actionable, and tied to performance and reliability outcomes.
• Building dashboards and analytics for service health and operational insight.
  
  

Deployment Release Engineering

• Improving deployment workflows, safety, consistency, and traceability.
• Supporting progressive delivery patterns including canaries, staged rollouts, and automated rollbacks.
• Optimizing CI/CD and deployment tooling for hybrid AI services.
  
  

Collaboration Reliability Culture

• Partnering closely with SRE, AI/ML, security, firmware, and product engineering teams.
• Contributing to system design discussions with a focus on automation, scalability, and operational best practices.
• Helping define and evolve platform engineering standards, patterns, and conventions.
  
  

Basic Qualifications

• 8+ yearsin DevOps, Platform Engineering, Cloud Engineering, or related fields
• Bachelor's Degree in Computer Science, Engineering, or a related technical field
• Strong experience building and operating infrastructure in Azure, AWS, or GCP
• ProficiencywithCI/CD systems, build automation, and deployment pipelines
• Experience withInfrastructure as Code(Terraform, ARM/Bicep, CloudFormation, etc.)
• Strong development or scripting skills (Python, Go, Bash, or similar)
• Hands-on experience withDockerandKubernetes
• Understanding of observability fundamentals (metrics, logs, tracing)
  
  

Preferred Qualifications

• Deep experience withAzurecloud architecture and DevOps tooling
• Strong handson work withOpenTelemetry(instrumentation, pipelines)
• Experience withGrafana, Prometheus, Loki, Tempo, or similar observability tools
• Experience supportingAI/ML workloadsor GPUaccelerated compute environments
• Familiarity with eventdriven systems and operationalizing data pipelines
• Experience contributing to or running oncall rotations
• Passion for automation, developer experience, and infrastructure reliability at scale
  
  

What Success Looks Like

• CI/CD pipelines are fast, stable, and trusted.
• Platform infrastructure becomes more automated, observable, and scalable.
• Telemetry and dashboards provide clear visibility into system health.
• Deployments are consistent, safe, and repeatable.
• Engineering teams move faster thanks to strong platform foundations.
• Qira's hybrid AI platform becomes increasingly reliable, efficient, and easy tooperate.
  
  

#IDGAI

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.