Backend Engineer (Python) - AI Lab

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As a senior backend engineer in OCBC AI Lab, you will be part of a team, building applications that work at scale to support various banking products and services. We are looking for a backend engineers who can build APIs, develop and scale back-end services, and create tools that interfaces with machine learning models and other bank services. You will be part of every stage of development, from concept to deployment. If you're passionate in software engineering and fintech, want to be part of a group that works on new products, have the opportunity to shape them, and enjoy crafting robust, scalable, and maintainable services, we may be the team for you!

Responsibilities

• Architecting, designing, developing, testing and deploying highly reliable and scalable microservice applications
• Understand product requirements, engage with data scientists, software engineers and customers to define solutions and estimate the scope of work required
• Design and deploy APIs through API gateways and portals, including API documentation using standards such as OpenAPI/Swagger
• Hands-on involvement in the end-to-end software engineering process of the project to ensure high quality project deliverables
• Explore improvement opportunities by challenging the status quo and suggesting alternative and creative solutions

Qualifications

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or related field
• Strong Python programming knowledge with experience in object-oriented programming and good understanding of data structure and algorithms
• Solid proficiency in backend development including: Microservices, RESTful API, full-stack web-technologies, specifications and frameworks
• Experience with unit testing, regression testing and QA tools
• Good understanding of RDBMS and/or NoSQL technologies (eg: PostgreSQL, MongoDB, Hadoop)
• Good understanding of containers, build systems, and infrastructure automation with experience in Kubernetes and Docker is a plus

Tech Stack

Our core services tech stack consists of React.js for the frontend, Python for backend, together with PostgreSQL, MongoDB, Hadoop data stores. We use Bitbucket for our code repository and we adhere to the basic Continuous Integration Continuous Delivery principle, utilising a host of tools including Buildbot and Jenkins to support our code quality and release pipeline.