Overview

Sr. Software Engineer, Machine Learning, Supply Chain

If you've been to your local Chick-fil-A during peak times, you have likely encountered a line of cars wrapped around the building. While our excellent team members keep these drive-thru lines moving quickly, they highlight the uniquely high volume of customers that Chick-Fil-A restaurants serve daily. The growing volume of traffic through our restaurants has created unique supply chain challenges that necessitate a best-in-class machine learning platform to forecast supply and demand across our entire supply chain, from the henhouse to the drive-thru. The Supply Chain Forecasting Sr. Software Engineer supports the build for this platform, using machine learning and data modeling to enable our restaurant operators to project their inventory, sales, and other key business metrics.

The Chick-fil-A Machine Learning Sr. Software Engineer, Supply Chain role will allow you to grow in a fast-paced dynamic environment, solving high-impact problems using cutting-edge technologies. In this role, you will implement and influence existing and new machine learning features involving data science and analytics. As a core contributor on a large agile software development team, you will be working on complex features while also mentoring engineers and collaborating with strategic partners. The team is leveraging cloud-based technologies to create machine learning pipelines delivering insights to our restaurants and business partners.

Responsibilities
• Design and develop software solutions• Serve as a model developer in programming languages like Java, JavaScript (Angular/React), Python, and Go• Exercise skills in infrastructure and deployment services like AWS and Kubernetes as well as areas like application security, data analytics, machine learning, and site reliability engineering• Steward financial data using a variety of data transformation, movement, and manipulation technologies including SQL, PL-SQL, and AWS-related technologies (e.g., RDS, DynamoDB, Athena, Redshift)

Note - Working in a DevOps model, this opportunity includes both building and running solutions that could require off hours support. This support is shared amongst the team members to cover weekends and weeknights. The goal is to design for failure and, using cloud-native infrastructure patterns, automate responses to possible issues so they can be worked during normal hours.

Minimum Qualifications
• Bachelor's Degree or the equivalent combination of education, training and experience from which comparable skills can be acquired• At least two years of relevant work experience• Broad and deep programming experience in Java, JavaScript, Python, Go, or other comparable languages • Experience with SQL and data modeling • Experience with source control systems like Git or Subversion • Experience implementing application security, software design patterns, and the SDLC • Experience with Machine Learning concepts and practices• Experience with data modeling practices• Experience with AWS Managed Airflow• Experience building data pipelines in a cloud environment• Experience with orchestration tools (Step functions, Airflow, etc.)• Good interpersonal and team collaboration skills

Preferred Qualifications
• Bachelor's Degree in Computer Engineering, Computer Science, or related technical field• Experience working with an agile development methodology featuring sprints, points estimation, and daily standups • Familiarity with version control systems and code merging/branching; specific experience with git desirable • Experience with Unix/Linux

Minimum Years of Experience

2

Travel Requirements

10%

Required Level of Education

High School

Preferred Level of Education

Bachelors Degree

Major/Concentration

Computer Engineering, Computer Science, or related technical field