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LenovoApplyPublished 2 months agoFirst seen 3 days ago
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Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers. 

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 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

Role Summary

Design, develop, and maintain scalable back-end, front-end, and full-stack applications that enable modern digital service delivery. This role focuses on enterprise platforms, automation, cloud technologies, and integrations to improve IT operations, user experience, and business efficiency.

Key Responsibilities

  • Design, develop, and maintain scalable back-end services, APIs, and system integrations across enterprise platforms such as ServiceNow, AWS, and Microsoft technologies.
  • Build and enhance front-end applications, self-service portals, chatbots, and operational dashboards.
  • Develop automation workflows and scripts using technologies such as Python, PowerShell, and low-code platforms.
  • Integrate applications with ITSM, endpoint management, and enterprise systems (e.g., ServiceNow, Intune, SCCM).
  • Collaborate with cross-functional teams to design, deploy, and support production-ready solutions.
  • Ensure application quality, security, scalability, and performance through testing, monitoring, and continuous improvement.
  • Support the development of automation, AI, and digital workflow initiatives that improve operational efficiency and user experience.

Key Competencies

  • Strong software development experience in back-end, front-end, or full-stack technologies.
  • Proficiency in JavaScript, Python, and modern development frameworks.
  • Experience designing and consuming REST APIs, system integrations, and microservices.
  • Understanding of cloud platforms such as AWS or Azure and enterprise application architecture.
  • Knowledge of data engineering concepts, including ETL processes, data pipelines, and cloud data ecosystems.
  • Familiarity with monitoring, observability, and analytics tools.
  • Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills in cross-functional environments.

Key Performance Indicators (KPIs)

  • Delivery of software enhancements and projects within agreed timelines.
  • Application performance, reliability, and availability.
  • Quality and adoption of automation solutions.
  • API and integration reliability.
  • User satisfaction and platform adoption.
  • Code quality, security, and compliance with development standards.

Candidate Requirements

Experience:

  • Proven experience as a Back-End, Front-End, or Full-Stack Developer in an enterprise environment.
  • Experience building APIs, integrations, automation solutions, and cloud-based applications.
  • Experience with AI, data analytics, or intelligent automation solutions is preferred.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

Preferred Certifications:

  • Cloud certifications (AWS, Microsoft Azure, Google Cloud)
  • AI/ML or Data Science certifications
  • ServiceNow certifications (where applicable)
  • Relevant software development or automation certifications