DevOps / Platform Engineer - AI Ecosystem
Role details
Job location
Tech stack
Job description
As a DevOps / Platform Engineer, you may contribute to a subset of the following areas, depending on team alignment:
CI/CD, Automation & Tooling
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Build, maintain, and improve CI/CD pipelines for AI, platform, and application teams
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Implement automation to reduce manual work and increase consistency
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Contribute to infrastructureascode development for cloud and hybrid environments
Platform & Infrastructure Engineering
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Support the deployment and operation of infrastructure on Azure and Kubernetes
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Help build and maintain hybrid environments spanning device, edge, and cloud
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Assist in operating platform services that support AI inference, data pipelines, and core services
Observability & Telemetry
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Implement and maintain monitoring, logging, and tracing using tools such as OpenTelemetry and Grafana
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Help ensure telemetry is accurate and useful for diagnosing issues
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Build and update dashboards that reflect system health and performance
Deployment & Release Support
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Support reliable deployment workflows and release processes
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Assist with staged rollouts, canaries, and rollback procedures
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Help improve deployment consistency and safety across environments
Collaboration & Engineering Practices
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Work closely with SRE, AI/ML, security, firmware, and product engineering teams
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Participate in design and implementation discussions with a focus on operability and automation
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Help apply platform engineering standards and best practices, 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 www.lenovobenefits.com. 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:
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United States of America - Illinois - Chicago
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United States of America
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United States of America - Illinois
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United States of America - Illinois - Chicago
Requirements
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5+ years of experience in DevOps, Platform Engineering, Cloud Engineering, or related roles
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Bachelor's Degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
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Experience building or operating infrastructure in Azure, AWS, or GCP
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Handson experience with CI/CD systems and deployment pipelines
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Experience with Infrastructure as Code tools (Terraform, ARM/Bicep, CloudFormation, etc.)
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Proficiency in scripting or programming (Python, Go, Bash, or similar)
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Experience with Docker and Kubernetes
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Experience with observability fundamentals (metrics, logs, tracing)
Preferred Qualifications
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Experience working with Azure cloud services and DevOps tooling
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Familiarity with OpenTelemetry, Grafana, Prometheus, Loki, or similar tools
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Exposure to AI/ML systems or dataintensive workloads
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Experience contributing to production operations or oncall rotations
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Interest in automation, platform reliability, and developer experience