Senior Site Reliability Engineer

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 reliability engineering organization that powers Qira, Lenovo's cross device Personal AI.

We are looking for Senior Site Reliability Engineers (SREs) to help us build and evolve the foundational reliability, observability, and operations capabilities that ensure Qira is fast, safe, and dependable for millions of users.

Qira is operating with the speed, ownership, and creative latitude of a startup
-yet supported by the scale, resources, and technical depth of Lenovo. We are building new systems, new tooling, and new operational models from the ground up, and we are doing so with clarity, intention, and high engineering standards.

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

• Improving the availability, scalability, and performance of distributed systems across device, edge, and cloud.
• Defining or refining SLIs, SLOs, and error budgets for critical services.
• Leading initiatives to remove single points of failure, improve resilience, and reduce operational risk.

• Participating in on-call rotations and contributing to incident response, triage, and post-incident reviews.
• Developing automation, runbooks, and self‑healing systems to reduce alert noise and MTTR.
• Enhancing operational readiness and supporting incident prevention programs.

• Designing or improving observability systems using Open Telemetry
  , Grafana
  , and modern signal pipelines.
• Building dashboards, analytics, and alerting that illuminate system health and AI service behavior.
• Ensuring telemetry is reliable, actionable, and tied to real-world outcomes.

• Improving reliability of CI/CD workflows, including phased rollouts, canaries, shadow testing, and safe rollback mechanisms.
• Contributing to the evolution of deployment tooling for device+edge+cloud hybrid systems.

• Influencing architectural decisions by injecting reliability, observability, and operational considerations early in design.
• Collaborating with AI/ML engineers, platform engineers, firmware teams, and product partners to deliver robust, dependable user experiences.

• 10+ years of experience in Site Reliability Engineering, Production Engineering, Dev Ops, or large-scale distributed systems operations.
• Bachelor's Degree in Computer Science, Engineering, or a related technical discipline.
• Strong experience running production distributed systems at scale.
• Proficiency in at least one modern programming language (e.g., Python, Go, Java, C++).
• Strong understanding of Linux systems
  , networking fundamentals, and system performance tuning.
• Experience with monitoring/observability (metrics, logs, tracing).
• Hands‑on experience with cloud environments (Azure, AWS, or GCP).
• Experience in incident management, on-call rotations, and postmortem processes.

• Deep experience with Azure cloud services.
• Experience with Open Telemetry for end-to-end instrumentation.
• Strong familiarity with Grafana
  , Prometheus, Loki, Tempo, or similar tools.
• Experience supporting AI/ML systems, model serving, or data-intensive workloads.
• Background with hybrid architectures (device + edge + cloud).
• Experience improving deployment reliability and progressive delivery systems.
• Passion for automation, reliability engineering, and reducing operational friction.

• Systems become more observable, reliable, and predictable.
• Incidents are resolved quickly, and follow‑up improvements prevent recurrence.
• Alerting becomes more accurate, actionable, and trusted.
• Deployments become safer and more consistent.
• Teams move faster because reliability foundations are strong and intuitive.

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.