Senior Site Reliability Engineer

Hiring for Senior Site Reliability Engineer (SRE) !!!

About Our Team

Lenovo is building Quantum, a nextgeneration 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 crossdevice 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.

This role may support one of several teams within the SRE organization (e.g., Observability, Operations, or Service Reliability), depending on your strengths and interests.

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.

Years of Exp: 12+ years

Current Location: Bangalore (Only)

Job Location: Bangalore

What You Might Work On

As a Senior SRE, you may be responsible for a subset of the following, depending on team placement and skill alignment:

Reliability & Performance Engineering

* 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.

Operational Excellence

* Participating in oncall rotations and contributing to incident response, triage, and post-incident reviews.

* Developing automation, runbooks, and selfhealing systems to reduce alert noise and MTTR.

* Enhancing operational readiness and supporting incident prevention programs.

Observability & Insight

* Designing or improving observability systems using OpenTelemetry, 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 realworld outcomes.

Deployments & Change Safety

* 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.

Systems Design & Collaboration

* 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.

Basic Qualifications

* 12+ years of experience in Site Reliability Engineering, Production Engineering, DevOps, or largescale 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)

* Handson experience with cloud environments (Azure, AWS, or GCP)

* Experience in incident management, oncall rotations, and postmortem processes

Preferred Qualifications

* Deep experience with Azure cloud services

* Experience with OpenTelemetry for endtoend instrumentation

* Strong familiarity with Grafana, Prometheus, Loki, Tempo, or similar tools

* Experience supporting AI/ML systems, model serving, or dataintensive 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

What Success Looks Like

* Systems become more observable, reliable, and predictable.

* Incidents are resolved quickly, and followup 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.