AI Reliability Operations Engineer
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Description and Requirements
About Our Team
We are looking for an AI Reliability Operations Engineer to support the operational health of Qira's production and non-production systems. Qira is Lenovo’s cross-device Personal AI that works across phones, PCs, and other Lenovo and Motorola products. This role spans system monitoring, alert response, incident response, and observability across the full AI stack, including model performance, inference pipelines, and cloud services. You will also have visibility into SDLC
operations across staging and pre-production environments, helping ensure that releases and configuration changes land cleanly. This is a foundational role in keeping Qira stable and available for users around the world.
Location: Onsite in Chicago, IL (Hybrid, 3 days onsite, 2 days remote)
What You'll Do
Operations Domain
• Perform incident response: contain issues and work cross-functionally with dev teams to
fully resolve them.
• Monitor system health via Grafana dashboards, catching issues early and verifying resolution.
• Serve as point of contact for change requests (CRs), triaging bug tickets from internal testers
to the correct dev group.
• Keep incident and CR records clear and accurate in ticketing systems.
Monitoring and Observability
• Monitor production and non-production systems using observability dashboards,
alerting tools, and AI-specific signals, including model performance, inference latency,
and data pipeline health.
• Watch proactively for early warning signals across Qira's cloud services, device
integrations, and AI components, not just respond to alerts after they fire.
• Review alert thresholds, update runbooks, and flag procedural gaps to the shift lead or
SRE. This role is expected to improve the process, not just execute it.
Build Tooling and Documentation
• Build and improve tooling and scripts to reduce manual, repetitive work across incident
and CR handling.
• Maintain documentation standards: keep runbooks, CR records, and process docs
accurate and usable by anyone on the team.
Release Support
• Observe and report on SDLC operations across staging and pre-production
environments, flagging anomalies and supporting engineering teams during releases
and configuration changes.
• Verify system health before and after deployments and configuration changes, and
assist engineering with deployment checks.
Basic Qualifications
• Direct experience in incident response or an SRE-adjacent role, not just monitoring or
support.
• Experience with observability tools such as Grafana, Datadog, or cloud-native
dashboards.
• Experience with alerting tools such as PagerDuty or OpsGenie, and ticketing systems
such as Jira or ServiceNow.
• Experience Troubleshooting: can isolate where a problem actually lives (which
service, which layer) without being handed the answer.
• Experience in Azure, including core cloud concepts and how services in an Azure
environment are monitored.
Preferred Qualifications
• Experience in a technical operations, SRE, or production support environment.
• Exposure to AI or ML systems, including awareness of how model quality and data pipelines
are monitored.
• Basic scripting ability or comfort reading and adapting existing scripts and runbook
commands.
• Experience working across time zones in a globally distributed team.
• Working knowledge of SRE concepts: P50/P95/P99 latency, MTTA/MTTM/MTTR (MTTx),
the four golden signals (latency, traffic, errors, saturation), and how to apply them to
triage.
• Clear, precise written communication in English, including accurate incident updates
under pressure.
• Ability to work assigned on-call coverage
What Success Looks Like
A successful AI Reliability Operations Engineer detects issues early, responds to alerts quickly,
performs accurate initial triage, and keeps clear and complete records across production and
non-production environments. Their work directly supports system uptime and ensures that Qira
delivers a reliable, consistent experience for users at all times
The base salary budgeted range for this position is $80K - $90K. 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.