Group SDE II

2 weeks ago


Bengaluru, Karnataka, India DP World Australia Full time
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

#LI-MP1


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