Job Description 

Blue Yonder is the leader for supply chain software, bringing together modern technologies with deep expertise in the supply chain domain across many verticals. 

Within the Lighthouse engineering team, we sustainably solve the recurring challenges that arise from applying the latest Blue Yonder enterprise solutions based on the cognitive platform to the first customers. 

We thereby support the application of a plethora of AI-fueled products by providing in-depth software solutions to questions regarding automation, testing, reliability, model and data quality. You will join a highly motivated team of Data Scientists and Software Engineers that strives for a seamless end-to-end use of forecasting and other state of the art technologies along the supply chain. 

The anticipated role has a clear focus on quality assurance engineering but also contains elements of software engineering. 

Your role with us: 

• Develop, apply and operate software tools written in Typescript and Python 

• Develop scalable test automation scripts in Typescript which serve as a quality gate within the release process of the Blue Yonder cognitive platform  

• Leverage Microsoft Azure cloud services to build scalable services for our internal users 

• Write clean, well-structured, documented and efficient, maintainable code that adheres to software development best practices 

• Automate workflows by leveraging existing APIs of the Blue Yonder cognitive platform 

• Working in an agile team with an emphasis on quality, testability, and automation 

• Create software artifacts and microservices for internal teams and external customers 

• Collaboration with Data Scientists, Solution Architects and Software Engineers of other teams in the Blue Yonder microservice landscape to develop tools for the scalable use of AI solutions in supply chain 

Your Profile: 

• Working knowledge of Python and Typescript as programming language and associated tooling (npm, yarn, mypy, black, pytest, pip, IDEs etc.) 

• Passion for quality and willingness for automation 

• Ability to write production-ready code proven e.g. by a degree in Computer Science and work experience 

• Knowledge of building and maintaining software artifacts 

• Knowledge of microservices and REST APIs using frameworks like Flask or Django 

• Knowledge of Behavior Driven Development, Cucumber (Gherkin syntax) 

• Experience with version control systems (git) 

• Knowledge of SQL and database technologies, for example PostgreSQL, Snowflake is a plus 

• Understanding of data engineering paradigms 

• Passion for CI/CD, DevOps and Clean Code 

• Interest to learn new technologies and methodologies 

• Openness to innovation and leveraging GenAI – both as a support tool in the development process as well as to enhance our software solutions 

• Curiosity and perseverance to get to the bottom of problems and find long-term solutions 

• The candor to always share your ideas and concerns, value constructive feedback and constantly improve your skills