Collaborating with cross-functional partners to deeply understand business problems before developing project solutions.
Leading the execution of projects across the full software development lifecycle, including technical design, implementation, testing, and deployment, ensuring solutions are high-quality, scalable, and performant;
Driving productive and constructive technical discussions with peers and cross-team technical leaders in the global collaborative working environment, to ensure alignments with technical strategies across CS products and capabilities.
Tackling highly complex technical challenges, proactively identifying and mitigating potential risks during project execution.
Writing exemplary and high-quality codes and design documents that set the standard for the team.
Advocating for and embedding engineering best practices within the team, ensuring a culture of technical excellence.
Actively coaching and mentoring engineers across the CSP China team to foster growth and elevate technical capabilities.
Supporting team growth by participating in recruiting efforts and conducting interviews.
Promoting and exemplifying an engineering culture with inclusiveness, effective communication, and quality.
Being a collaborative and supportive teammate who inspires and elevates the entire engineering organization.
Your Expertise:
9+ years of software development experience.
Strong proficiency in at least one major backend programming language (e.g., Java, Kotlin, Scala, Python); experience with modern front-end frameworks (e.g., React, Angular, Vue.js) are preferred but not a must.
Proven track record of delivering end-to-end products in a collaborative environment globally.
Experience with architectural patterns of large-scale web applications, including well-designed APIs, high-volume data pipelines, and efficient algorithms.
Demonstrated ability to make data-driven decisions, articulate technical trade-offs, and communicate effectively with cross-functional partners.
Passion for creating intuitive user experiences and a keen interest in data systems and analytics.
Bachelor's degree in Computer Science or related field, or equivalent practical experience.