Software Engineer II - Enterprise Data Platform

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

We are looking for a Software Engineer II to join Best Buy's Enterprise Data Platform engineering team. This team is responsible for delivering the Machine Learning platform and tooling that supports machine learning initiatives throughout Best Buy for both training and serving ML models at web scale. We use various open-source tools and frameworks to stand up the complete MLOps framework and tools for CI/CD/CT of ML model development. Engineers on the Enterprise Data Platform team design and build scalable, high-performing systems that can stand up to peak holiday load. We build solutions that require advanced thinking in challenging disciplines like machine learning, stream processing, and distributed systems.

This is a hands-on engineer position. The individual in this role will be involved throughout the development lifecycle for the Enterprise Data Platform with the primary responsibility of developing a Machine Learning platform and services along with appropriate automation tooling in support of the platform.

This role is accompanied by career rewarding challenges by the very nature of the platform. The individual in this role will be given the opportunity to deliver solutions in a highly distributed, highly critical environment by leveraging machine learning technologies.

Responsible for platform development and maintenance for delivering business value online. Follows the software development lifecycle phases from concept and design to build and deployment. Additional responsibilities include but not limited to:

• Work on Kubernetes based open-source tools like Kubeflow, Seldon, Istio Service mesh and build scalable solutions on top of it
• Using current programming language and technologies to write web applications, fix defects, and support production
• Performs overall testing and debugging of applications and supports applications in production
• Troubleshoots system defects
• Completes basic documentation needed to support applications from the development phase to the maintenance phase
• Creates deployment automation and run books for production support.

Minimum Qualifications:

• 2 or more years of related experience
• 1 or more years of experience in both web and service-oriented environments using one or more of the following languages Java, Groovy, or Python
• Knowledgeable of Kubernetes or Docker and Containerized application development

Preferred Qualifications:

• Experience with building micro-service applications
• Experience with Google Cloud any other Cloud environment
• Experience with Google Cloud Pub/Sub or any other messaging systems
• Experience with Chef / Ansible or any other Infrastructure as Code technology
• Experience in an Agile environment
• Experience with JIRA or any other issue tracking technology

Auto Req. ID801805BR