DataXight, headquartered in Mountain View, CA, is on a bold mission to transform healthcare through groundbreaking data-driven solutions. We're passionate about empowering our team to work on projects that not only push boundaries but also make a tangible difference in the lives of millions. Are you ready to be part of something greater? The RoleWe are seeking a dedicated Lead Python Engineer to spearhead the development and integration of software components, creating seamless and efficient solutions to improve life science. This role offers the unique opportunity to work with multinational companies, expanding your professional horizons. The ideal candidate will be comfortable adapting to various time zones, particularly those in the US and EU, occasionally to facilitate effective collaboration with our international partners.Location:On-site in District 2, Ho Chi Minh City, Vietnam. Key ResponsibilitiesTechnical Leadership and System Design: Provide technical leadership in system architecture, setting coding standards, and mentoring junior developers.Cross-Functional Teamwork: Work with various teams to ensure software solutions meet business requirements, international standards, and objectives.Problem-Solving and Optimization: Tackle complex software integration challenges, optimizing system performance.Develop and Integrate Python Applications: Create high-quality Python code and integrate diverse software components into cohesive solutions, with a focus on cloud computing and life sciences applications.Continuous Learning and Improvement: Keep up-to-date with new technologies and Python frameworks, particularly in cloud computing and life sciences.Testing, Deployment, and Documentation: Oversee testing, deployment, and comprehensive documentation of integrated systems.Agile Development: Actively participate in all phases of the software development lifecycle. This includes creating user stories and engaging in sprint planning to align development efforts with business objectives.Global Collaboration: Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.