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Senior Software Engineer - Python, AWS

Gabi

Gabi

Software Engineering
Hyderabad, Telangana, India
Posted on Tuesday, May 21, 2024

Company Description

Experian is the world’s leading global information services company. During life’s big moments — from buying a home or a car to sending a child to college to growing a business by connecting with new customers — we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organizations to prevent identity fraud and crime.

We have 17,800 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. We are listed on the London Stock Exchange (EXPN) and are a constituent of the FTSE 100 Index.

Learn more at www.experianplc.com or visit our global content hub at our global news blog for the latest news and insights from the Group

Experian is the world’s leading global information services company. During life’s big moments — from buying a home or a car to sending a child to college to growing a business by connecting with new customers — we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organizations to prevent identity fraud and crime.

We have 17,800 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. We are listed on the London Stock Exchange (EXPN) and are a constituent of the FTSE 100 Index.

Learn more at www.experianplc.com or visit our global content hub at our global news blog for the latest news and insights from the Group

Job Description

Our team is responsible for building the backend components of Experian’s proprietary MLOps platform Ascend Ops 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. You would be responsible for leading a sub team or 5 or more engineers focusing on designing, developing and maintain microservices, data processing pipelines, GenAI features and a lot more.

What you’ll do here

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

Qualifications

What you’ll need to succeed

  • At least 5+ years of professional backend development experience with Python.
  • At least 3+ years of experience leading & mentoring developers.
  • Experience with creating scalable product / module design & architecture.
  • Experience with web development frameworks such as FastAPI.
  • Experience with public cloud platforms like AWS.
  • Experience with concurrent programming designs such as AsyncIO.
  • Experience with containers (Docker) and container platforms like AWS ECS or AWS EKS
  • Experience with unit and functional testing frameworks like pytest, behave.
  • Experience working with WSGI & ASGI web servers such as Gunicorn, Uvicorn etc.
  • Experience with CI/CD practices, tools, and other frameworks.

Nice to have skills

  • Experience with MLOps platorms such as AWS Sagemaker, Kubeflow or MLflow.
  • Experience with big data processing frameworks, preferably Apache Spark and AWS infrastructure like EMR.
  • Experience with DevOps & IaC tools such as Terraform, Jenkins etc.
  • Experience with various Python packaging options such as Wheel, PEX or Conda. . Experience with Apache Kafka and developing Kafka client applications in Python
  • Experience with metaprogramming techniques in Python.

Additional Information

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