Fullstack Developer

Introduction
As a Data Scientist at IBM you will help transform our clients’ data into tangible business value by analyzing information communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities
watsonx Code Assistant is an exciting new offering from IBM that strives to revolutionize enterprise software development with Generative AI. We need your expertise your motivation and your collaboration to take watsonx Code Assistant to the next level. As a full stack developer for watsonx Code Assistant you will be responsible for designing and developing components and features for watsonx Code Assistant.

Required General skills

• As a software developer you will be responsible for designing coding unit-testing and perform FVT for new functions while rigorously adhering to the team’s development processes.
• You will be responsible for working in close collaboration with the development and QA team to ensure that defects found in are fixed in a timely manner. The employee will be ultimately responsible for ensuring that any shipped code is delivered on schedule and with quality.
• Another duty will be to analyze and fix defects in existing products.
• Be part of open transparent agile teams who always thrive for continuous learning and contribute towards continuous improvement.

Required Technical and Professional Expertise

• 6+ years of experience
• Python programming
• Frontend development using JavaScript frameworks React Typescript and Node.js
• IDE Plugin development- IntelliJ VSCode and Eclipse
• Microservices architecture and design
• Source control management preferably Git

Preferred Technical and Professional Expertise

• Experience with AI / ML models and evaluation techniques including Large Language Models
• Experience in the analysis of programming languages including parsing techniques or syntax trees
• Working with SQL and No-SQL databases
• Data transformation with Apache Spark and Ray
• Experience with container orchestration platforms like Kubernetes and OpenShift
• Knowledge of CI/CD tools like Jenkins Travis or Tekton
• Experience with Cloud Platforms i.e. IBM Cloud AWS Azure
• Knowledge/Experience with automating infrastructure testing and deployments using tools like Tekton Jenkins or Cypress