As part of the Group Analytics Division, you’ll be responsible for designing and developing primarily the Analytics APIs layer whilst helping to standardize the ML related developments and CI/CD pipelines.

Job Role

• Implement APIs and systems to represent Analytics external interface and communicate with other systems
• Standardize machine learning codebases according to best practices and create libraries
• Convert/Implement Systems and APIs with Microservice architecture
• Design and customize open-source libraries, software packages for internal analytics usage
• Implementation of security and data protection
• Ensure best software development, coding practices are adhered to by Data Scientists by automated code quality assessments
• Translate business requirements (software components of ML system) to technical design, prepare high level project plans
• Support Mops team in CI/CD and software development best practices
• Implementing automated testing platforms and unit tests

• Bachelor’s Degree in Computer Science, Engineering, IT or relevant major with good programming and technical skills. Master’s degree in a relevant field will be an added advantage
• 2-5 years of experience within the field of Software Engineering
• Expertise and hands on experience in JavaScript, Node.js and frameworks
• Experience on development of Rest APIs and WebSocket based systems
• Understanding of asynchronous programming
• Hands on experience in architecting microservices and load balancing on AWS using ECS, EKS, Fargate, Lambda etc.
• Understanding fundamental design principles behind a scalable application and performance
• Experience on user authentication and authorization between multiple systems, servers, and environments and other security aspects
• Knowledge in different database systems and query languages like SQL, Snowflake and mongo DB and optimization those and queries for performance
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Understanding of Data Science process, Machine Learning Systems, Data Engineering with experience or knowledge on python development will be preferred
• Experience on GitLab or Code commit software version controlling is preferred
• Hands on experience or knowledge using AWS Services including AWS Dev Ops tools, Sonarqube or any other code analysis tools is an added advantage