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Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Reliability DevOps Intern – Qira AI Platform
About The Role
Join the engineering team behind Qira, Lenovo’s cross‑device Personal AI platform, and help build the reliability, automation, and operational foundations that support AI services running across devices, edge environments, and cloud infrastructure.
As a Reliability DevOps Intern, you will work on meaningful reliability and operational engineering tasks while learning how modern AI systems are built, monitored, and operated in production. You will collaborate closely with DevOps and Site Reliability Engineering (SRE) professionals on real systems, without participating in an on‑call rotation, making this an ideal learning opportunity for students interested in infrastructure, reliability, and cloud engineering
What You’ll Work On
You will contribute to projects that improve system reliability, automation, and observability, such as:
Monitoring, Observability Reliability
- Build or enhance dashboards, alerts, and monitoring for system services and AI workloads.
- Improve observability by working with metrics, logs, and traces to better understand system behavior.
- Assist with identifying reliability risks and operational gaps in production systems.
- Write scripts or lightweight tools in Python, Bash, or similar languages to support DevOps and SRE workflows.
- Automate small, repeatable tasks related to deployments, pipelines, or cloud infrastructure management.
- Help improve CI/CD pipelines and operational automation.
- Write and maintain runbooks, operational guides, and reliability documentation.
- Document troubleshooting steps, system behaviors, and standard operating procedures.
- Support post‑incident analysis by helping gather data and document learnings.
- Assist with cloud infrastructure tasks across platforms such as Azure, AWS, or GCP.
- Support environments running AI workloads across cloud, edge, and device ecosystems.
- Learn how large‑scale AI platforms are deployed, monitored, and maintained.
- Work closely with engineers across DevOps, SRE, AI, and platform teams.
- Participate in design reviews, reliability discussions, and operational planning meetings.
- Learn best practices for building scalable, reliable systems in a fast‑moving engineering environment.
We expect interns to come in with a solid technical foundation so they can contribute from day one.
Education
- Currently working toward a degree in Computer Science, Engineering, or a related technical field.
- Hands‑on experience with Linux, including basic commands, processes, and networking concepts.
- Ability to write scripts or small tools using Python, Bash, or similar languages.
- Familiarity with cloud computing concepts (Azure, AWS, or GCP).
- Basic understanding of Git, CI/CD concepts, and automation workflows.
- Foundational knowledge of networking concepts.
- Strong interest in DevOps, Site Reliability Engineering (SRE), reliability, or infrastructure engineering.
- Ability to learn quickly and adapt in a fast‑paced engineering environment.
- Clear written communication skills, especially for documentation and technical writing.
- Strong problem‑solving mindset and attention to detail.
- Exposure to observability tools (monitoring, logging, or tracing systems).
- Experience working with pipelines or infrastructure‑as‑code concepts.
- Familiarity with AI platforms, distributed systems, or edge computing environments.
- DevOps Site Reliability Engineering (SRE)
- Cloud Infrastructure (Azure, AWS, GCP)
- Linux Networking
- Automation Scripting (Python, Bash)
- CI/CD Pipelines
- Observability (Metrics, Logs, Traces)
- Reliability Engineering
- Git Version Control
- Documentation Technical Writing
- AI Edge Computing Environments
- Hands‑on experience operating real AI services used at scale.
- Exposure to modern DevOps and SRE practices in production environments.
- Practical skills in automation, observability, and cloud infrastructure.
- Mentorship from experienced engineers working on Lenovo’s AI platform.
- A strong foundation for future roles in DevOps, SRE, platform engineering, or cloud infrastructure.
Lenovo's various benefits can be found atwww.lenovobenefits.com.Interns are not eligible for Lenovo's employee benefits, except to the extent required by law. Lenovo complies with any applicable sick or paid leave law, including the Illinois Paid Leave for All Workers Act,the Chicago Paid Leave and Paid Sick Leave ordinance, and the Cook County Paid Leave Ordinance, to the extent applicable based on the location of the intern and the length of the assignment.
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.
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