Group SDE II

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

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