Python Developer

Location: Singapore
Job Type: Permanent
Contact: Angie Wakefield
Email: email Angie
Posted: about 1 year ago

Are you passionate about coding and excited about working on something new and innovative? We are looking for someone who can come in as a pioneer and deploy Python code for an AI product that will reach a global scale. You’ll be in charge of delivering rapid MVP data products to a Leading International MNC in its industry, within a start-up like an environment. 

Enjoy the freedom of your set up while having full ownership of the product and devising the road-map for its productionization.
You’ll be required to learn things quickly and manage multiple back-end systems and infrastructures for the product. Be able to lead in product development and potentially lead younger engineers as more products get rolled out.


  • Write complex Python code into an AWS atmosphere
  • Be able to wear multiple hats and use both deployment and devops technology stacks to engineer your AI products
  • Code in Django for web apps and work with front end engineers to develop application interface using React
  • Own your technical architecture and be able to recommend and justify any new changes to the infrastructure
  • Be able to work the product back-end including maneuvering ORM and API
  • Work closely with business stakeholders and set the standard for the software engineering quality of your team.


  • Expert level of Python code and good understanding of Django, minimally 7 years coding in such a language with products and development projects to share
  • Minimally holding Bachelors in Computer Science, Mathematics or related fields
  • Have professional experience creating and managing API and web services
  • Strong grasp of SQL
  • Understand cloud architectures, optimally AWS services
  • Solid foundation in data infrastructure and algorithm understanding
  • Good to have experience with full-stack web development, especially understanding of React
  • Bonus if you have working knowledge of machine learning stacks within Python
  • Also good to be comfortable with devops and infrastructure technologies (e.g. docker, terraform).

Reaching out

For a confidential discussion on this or any other opportunities available in the market please contact Angie Wakefield at - Direct Line: +65 6340 1949

EA License No: 16S8303 - EA Registration No: R1781517