全职 Sr. Software Engineer 工作, 薪水 up to SGD 7,000, PHOENIX SOLUTIONS (S) PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

We are looking for a full-time Full Stack Developer with comprehensive knowledge on Node.js and React.js to join the Digital Solutions team.

The candidate must have a strong focus on front-end and back-end development and demonstrate the ability to work in an extremely fast-paced environment.

Job Description  Write and code individual programs based on specifications and follow best practices. 

Work with business team to review current systems and propose suitable solution. 

Present ideas for system improvements, including technical proposals.

Work closely with analysts, designers, staff, and collaborators.

Push the frontiers of what is possible in Artificial Intelligence to create new solutions. 

Explore, understand, and implement most recent technologies and approaches for cloud applications and data pipeline. 

Produce detailed specifications and writing the program codes.  Test the product in controlled, real situations before going live. Requirements:

• 3+ years of experience in web application development with an in-depth understanding of data structures, algorithms and software design principles.

• Exposure to cloud methodologies and experience with AWS or Azure is a plus.

• Knowledge of AI/Machine Learning fundamentals.

• Experience in developing rich user interface using HTML5 and CSS3

• Experience working with NodeJS, Redux, Typescript, Webpack, NPM etc.

• Solid Proficiency in backend development including RESTful API, full-stack web-technologies, specifications and frameworks.

• Strong understanding of working with any databases like MSSQL/PostgreSQL/Oracle

• Experience building data models to support low latency reporting apps.

• Experience with software engineering best practices such as version control (e.g. git), CI/CD (e.g. Jenkins), testing, security and documentation

• Experience working on containerization and orchestration tools like Kubernetes and Docker. • Bonus: Familiarity with common ML Ops tooling/platforms (i.e.) MLflow, Sagemaker, etc.

• Strong written and oral communication skills.

• Excellent problem solving and critical thinking with excellent ability to evaluate and apply new technologies in a short time