KEY ACCOUNTABILITIES: • Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. • Use software engineering best practices to ensure a high standard of quality for all of the team deliverables. • Write high quality distributed system software. • Work in an agile, startup-like development environment, where you are always working on the most important stuff. • In this role you will lead a critical and highly-visible function within DP World International Expansion Business. • You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. • You will work with extraordinary talent and have the opportunity to hire and shape the team to best execute on the product. OTHER • Act as an ambassador for DP World at all times when working; promoting and demonstrating positive behaviors in harmony with DP World’s Founder’s Principles, values and culture; ensuring the highest level of safety is applied in all activities; understanding and following DP World’s Code of Conduct and Ethics policies Perform other related duties as assigned QUALIFICATIONS, EXPERIENCE AND SKILLS: Basic qualifications • Bachelor’s Degree in Computer Science or related field, or equivalent experience to a Bachelor's degree based on 3 years of work experience for every 1 year of education • 4-8 years professional experience in software development; you will be able to discuss in depth both the design and your significant contributions to one or more projects • Solid understanding of computer science fundamentals: data structure, algorithm, distributed system design, database, and design patterns. • Strong coding skills with a modern language (NodeJS, GoLang, Scala, Java, etc) • Experience working in an Agile/Scrum environment and DevOps automation • REST, JavaScript/Typescript, Node, GraphQL, PostgreSQL, MongoDB, Redis, Angular, ReactJS, Vue, AWS, machine learning, geolocation and mapping API Preferred qualifications • Experience with distributed system performance analysis and optimization • Familiar with AWS services (RDS, DynamoDB, Lamda, Kinesis, SNS, CloudWatch, …) • Experience in NLP, Deep learning & Machine Learning. • Experience in training machine learning models or developing machine learning infrastructure. • Strong communications skills; you will be required to proactively engage colleagues both inside and outside of your team • Ability to effectively articulate technical challenges and solutions Deal well with ambiguous/undefined problems; ability to think abstractly