DevOps / Platform Engineer - AI Ecosystem
$120k - $150kLenovo
* United States of America - Illinois - Chicago 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$83 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
About Our Team
Lenovo is building Qira , a nextgeneration hybrid AI platform that spans Windows, Android, and cloud. As part of this vision, we are expanding the engineering organization supporting Qira , Lenovo's crossdevice Personal AI.
We are hiring DevOps / Platform Engineers to help build, operate, and improve the automation, infrastructure, and platforms that enable reliable and scalable delivery of Qira's AI systems across device, edge, and cloud.
Depending on experience and interest, this role may support areas such as Platform Engineering, Observability, Operations, or Service Reliability.
Qira operates with the speed and ownership of a startup, supported by Lenovo's scale and technical depth. We are building core systems from the ground up with a strong focus on reliability, automation, and pragmatic engineering.
Location: Chicago, IL; Hybrid (3 days onsite / 2days remote)
What You'll Do
As a DevOps / Platform Engineer, you may contribute to a subset of the following areas, depending on team alignment:
CI/CD, Automation & Tooling
Build, maintain, and improve CI/CD pipelines for AI, platform, and application teams
Implement automation to reduce manual work and increase consistency
Contribute to infrastructureascode development for cloud and hybrid environments
Platform & Infrastructure Engineering
Support the deployment and operation of infrastructure on Azure and Kubernetes
Help build and maintain hybrid environments spanning device, edge, and cloud
Assist in operating platform services that support AI inference, data pipelines, and core services
Observability & Telemetry
Implement and maintain monitoring, logging, and tracing using tools such as OpenTelemetry and Grafana
Help ensure telemetry is accurate and useful for diagnosing issues
Build and update dashboards that reflect system health and performance
Deployment & Release Support
Support reliable deployment workflows and release processes
Assist with staged rollouts, canaries, and rollback procedures
Help improve deployment consistency and safety across environments
Collaboration & Engineering Practices
Work closely with SRE, AI/ML, security, firmware, and product engineering teams
Participate in design and implementation discussions with a focus on operability and automation
Help apply platform engineering standards and best practices
Basic Qualifications
5+ years of experience in DevOps, Platform Engineering, Cloud Engineering, or related roles
Bachelor's Degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
Experience building or operating infrastructure in Azure, AWS, or GCP
Handson experience with CI/CD systems and deployment pipelines
Experience with Infrastructure as Code tools (Terraform, ARM/Bicep, CloudFormation, etc.)
Proficiency in scripting or programming (Python, Go, Bash, or similar)
Experience with Docker and Kubernetes
Experience with observability fundamentals (metrics, logs, tracing)
Preferred Qualifications
Experience working with Azure cloud services and DevOps tooling
Familiarity with OpenTelemetry , Grafana , Prometheus, Loki, or similar tools
Exposure to AI/ML systems or dataintensive workloads
Experience contributing to production operations or oncall rotations
Interest in automation, platform reliability, and developer experience
What Success Looks Like
CI/CD pipelines run reliably and support fast delivery
Infrastructure is automated, stable, and easy to operate
Monitoring and dashboards provide useful visibility into system health
Deployments are consistent and lowrisk
Engineering teams are supported by strong, dependable platform foundations
Qira's hybrid AI platform continues to scale smoothly and reliably
The base salary budgeted range for this position is $120K - $150K. Individuals may also be considered for bonus and/or commission.
Lenovo's various benefits can be found on 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. Additional Locations :* United States of America - Illinois - Chicago * United States of America * United States of America - Illinois * United States of America - Illinois - Chicago
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