Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 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. Description and Requirements
Scope of Responsibilities
Assist in the design, development, and deployment of cloud-native applications and services.
Support cloud infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation.
Collaborate with senior engineers to build and maintain CI/CD pipelines.
Develop and expose endpoints to support testing and integration with platforms such as Google Vertex AI, OpenAI, and AWS for AI/ML workflows and cloud-based inference.
Monitor application performance, troubleshoot issues, and ensure system reliability in cloud environments.
Contribute to documentation and knowledge sharing related to cloud architecture and best practices.
Participate in code reviews, sprint planning, and other Agile software development activities.
Stay up to date with industry trends in cloud computing, serverless technologies, and container orchestration (e.g., Kubernetes, Docker).
Basic Qualifications
BS in Computer Science or equivalent degree
1+ Years experience with Software Development
Bachelor’s degree in Computer Science, Software Engineering, or a related field — or equivalent practical experience.
Foundational knowledge of at least one major cloud provider (e.g., AWS, Google Cloud Platform, Azure).
Experience or coursework in creating and consuming REST APIs or cloud endpoints.
Familiarity with deploying models or services on cloud platforms like Google Vertex AI, OpenAI APIs, or AWS SageMaker/Lambda.
Basic programming skills in languages such as Python, JavaScript/TypeScript, Go, or Java.
Understanding of containers and container orchestration concepts (e.g., Docker, Kubernetes — even at a basic level).
Able to work in a hybrid format
Preferred Qualifications
Hands-on experience deploying or integrating AI/ML models using platforms like Google Vertex AI, OpenAI APIs, or AWS SageMaker, even through academic or personal projects.
Cloud certification such as AWS Certified Developer – Associate, Google Associate Cloud Engineer, or Microsoft Azure Fundamentals (AZ-900), demonstrating commitment to cloud proficiency.
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