Sr Python Software Engineer, Torqata

at American Tire Distributors
Published January 19, 2021
Location Huntersville, NC
Category Default  
Job Type Full-time  

Description

We look forward to your application! When applying, please be sure to put your Full Legal First Name and Last Name for legal and processing purposes.

Are you looking for an opportunity to turn your ambition and your people skills into a rewarding career with an industry leader? Join our team at American Tire Distributors! As the nation's premier tire distributor, ATD’s coast-to-coast distribution network provides approximately 80,000 customers across the U.S. and Canada with rapid and frequent delivery of high quality tires, custom wheels and shop supplies. 

Position Description: 

Torqata, a subsidiary data and analytics company of American Tire Distributors (ATD), is searching for an outstanding Senior Python Software Engineer. As a member of a growing startup, you will have the opportunity to participate in the ongoing buildout of the most digitally connected and insightful analytics organization in the tire industry. You must be passionate about working with cutting edge technologies including building rich, containerized APIs for deployment within a cloud-native environment. You will work in a collaborative ecosystem alongside a world-class data science and software engineering team to solve some of the most challenging problems in the industry through new products and innovations. You will be working on high impact initiatives to drive growth and economic profitability for Torqata and its customers by accelerating current and new offerings. You will work on one or many product teams at any given time. You will be free to explore and propose new technologies or solutions but, as such, are expected to be a capable independent problem solver. Our ideal candidate is highly motivated, always learning, willing to share their knowledge and experience, and, most of all, excited to be part of a company building new, impactful applications to bring to market. He/she should have a great attitude and commitment to get the job done.

Principal Duties and Responsibilities:

  • Build scalable and robust Python-based APIs using a combination of tools including Pandas, FastAPI, and SQLAlchemy
  • Deploy these APIs to managed container services including App Engine and Kubernetes as well as serverless Google Cloud Functions, depending upon associated requirements
  • Interacting directly with various cloud-based (Google Cloud Platform) storage systems such as PostgreSQL and Redis
  • Partner with technical leads, product managers, data engineers, data scientists, designers, and other software engineers to build compelling, novel user-facing products
  • Analyze and improve efficiency, scalability, and stability of application system resources

Minimum Qualifications:

  • 2+ years of professional experience
  • Strong core Python experience
  • Proficient in at least one Python API framework such as Flask, Django, or FastAPI (FastAPI preferred)
  • Strong SQL database skills (PostgreSQL preferred) including writing/optimizing efficient queries and leveraging advanced ORM features with SQLAlchemy
  • Experience with building, debugging and optimization of production-ready APIs
  • Software delivery experience in a Cloud/DevOps environment, GitFlow, and containerization
  • Ability to navigate and work within a Linux environment

Preferred Qualifications:

  • Familiar with schema validation and modeling libraries such as Pydantic or Marshmallow
  • Experience data munging with numpy, scipy, pandas, and similar libraries.
  • Knowledge of the OpenAPI specificiation and building API documentation with tools like Swagger
  • Previous experience with Google Cloud Platform: App Engine, Storage, CloudSQL (data offerings such as GCS, BigQuery, cloudSQL are a plus)
  • Experience working directly with data science/advanced analytics workflows

Build a challenging and rewarding career with us!

American Tire Distributors is an Equal Opportunity Employer and Drug Free Workplace

Shift Type:
Job ID: R13782