Senior DevOps​/Platform Engineer

Description and Requirements About Our Team

Lenovo is building Quantum
, a next generation hybrid AI platform that spans Windows, Android, and cloud. As part of this vision, we are expanding the engineering organization supporting Qira
, Lenovo's cross device Personal AI.

We are hiring Senior Dev Ops / Platform Engineers to build and operate the core automation, infrastructure, and service platforms that enable secure, reliable, and high velocity 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 Reliability based on experience and organizational need.

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

Location: Open to remote work in the US. The preferred work location is Chicago, IL.

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

• Designing, implementing, and improving CI/CD pipelines for AI, platform, and application teams.
• Building automation and developer tooling to improve productivity and consistency.
• Developing infrastructure as code for cloud and hybrid environments (Terraform, Bicep, etc.).

• Implementing scalable, secure, and resilient infrastructure on Azure and Kubernetes.
• Building and operating hybrid systems spanning device, edge, and cloud compute.
• Enabling reliable platform services that support inference, data pipelines, and high performance AI workloads.

• Implementing and enhancing observability systems using Open Telemetry, 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.

• 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.

• 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.

• 10+ years in Dev Ops, 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.
• Proficiency with CI/CD systems, build automation, and deployment pipelines.
• Experience with Infrastructure as Code (Terraform, ARM/Bicep, Cloud Formation, etc.).
• Strong development or scripting skills (Python, Go, Bash, or similar).
• Hands‑on experience with Docker and Kubernetes.
• Understanding of observability fundamentals (metrics, logs, tracing).

• Deep experience with Azure cloud architecture and Dev Ops tooling.
• Strong hands‑on work with Open Telemetry (instrumentation, pipelines).
• Experience with Grafana, Prometheus, Loki, Tempo, or similar observability tools.
• Experience supporting AI/ML workloads or GPU‑accelerated compute environments.
• Familiarity with event‑driven systems and operationalizing data pipelines.
• Experience contributing to or running oncall rotations.
• Passion for automation, developer experience, and infrastructure reliability at scale.

• 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 to operate.

The base salary budgeted range for this position is $190K - $230K. 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.

• United States of America - Illinois - Chicago
• United States of America - North Carolina - Morrisville