Backend Software Engineer, Python - US Remote

Company Description

  Experian is the leading global information services company. We help businesses provide great customer experiences by managing and analyzing data that will help them solve problems, drive better decisions and outcomes, and prevent fraud. We help millions of people better manage and improve their financial lives – gain access to credit, save money, and protect their identity.

About us, but we’ll be brief

Experian is unlocking the power of data to create more opportunities for consumers, businesses, and society. We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for. In addition, for the last five years we’ve been named in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

We have 20,000 people operating across 44 countries and every day we’re investing in new technologies, talented people, and innovation to help all our clients maximize every opportunity.

Job Description

About the Role:

Our team is responsible for building the backend components of MLOps platform on AWS. The backend components we build are the fundamental blocks for feature engineering, feature serving, model deployment and model inference in both batch and online modes.

What you’ll do here:

• Design & build backend components of our MLOps platform on AWS.
• Collaborate with geographically distributed cross-functional teams.
• Participate in on-call rotation with the rest of the team to handle production incidents.

Qualifications

Required Experience/Skills:

• Web development frameworks such as Flask, Django or FastAPI.
• WSGI & ASGI web servers such as Gunicorn, Uvicorn etc.
• Concurrent programming designs such as AsyncIO.
• unit and functional testing frameworks.
•  public cloud platforms like AWS, Azure, GCP, preferably AWS.
• CI/CD practices, tools, and frameworks.

Preferred Experience/Skills:

• Apache Kafka and developing Kafka client applications in Python.
• MLOps platorms such as AWS Sagemaker, Kubeflow or MLflow.
• Big data processing frameworks, preferably Apache Spark.
• Containers (Docker) and container platorms like AWS ECS or AWS EKS.
• DevOps & IaC tools such as Terraform, Jenkins etc.
• Various Python packaging options such as Wheel, PEX or Conda.
• Metaprogramming techniques in Python

Additional Information

Perks

• Currently all Experian employees are working remotely.
• 15 paid vacation days and two volunteer days (plus eleven paid holidays)
• Competitive pay and comprehensive benefits package, with a bonus of 10%
• Flexible work schedule and relaxed dress code

All your information will be kept confidential according to EEO guidelines.

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