Python Engineer

Experian
Senior Software Engineer - Python Developer
Hybrid - Costa Mesa, CA or Allen, TX (1-2 days per month on-site)
12+ month contract

Experian is seeking a Senior Staff Engineer (Senior Python Developer) to join our Product Development team. This is a great opportunity for someone who specializes in building large-scale, cloud-based big data and MLOps platforms and APIs to access timely, accurate, and relevant data. An ideal candidate will have built scalable platforms that can easily accommodate and integrate different data sources and provide comprehensive data capabilities to all Experian products and delivery channels.

• Partners with Architecture/Product/Cloud Ops/Engineering teams to craft highly scalable, flexible and resilient cloud architectures that address customer business problems and accelerate the adoption of cloud services.
• Designs and implements complex architectural solutions using AWS design principles, best practices, and industry standards.
• Build scalable, reliable, and cost‑efficient ML pipelines using Python, AWS services (Sage Maker, Lambda, Step Functions, S3, ECR, etc.), and container technologies (Docker, ECS/Fargate).
• Lead technical design reviews, guide engineering teams on architectural best practices, and create high‑level and low‑level design documents.
• Determine code quality and test coverage, design and implement tests to ensure software is built to the highest quality possible.
• Communicate and explain technical/architectural decisions to product, development, and delivery teams.
• Drive continual improvement in quality and efficiency, including defect prevention/root‑cause analysis, and suggest and adopt improvements to technology and efficiency.
• Perform proof of concept work for integrating new technologies into the existing product.
• Comprehend detailed project specifications and adapt to various technologies while working on multiple projects simultaneously.
• Participate in reviews of software engineers' code to deliver high‑quality solutions.
• Work closely with the product and actively participate in business requirement analysis.
• Lead and mentor junior members of the team.
• Research and implement performance tuning and enhancements to existing and newly developed systems to maximize performance from the existing infrastructure.

• BS in Computer Science or related field; MS preferred.
• 8+ years of experience in key engineering roles, such as technical lead, software engineer, and software architect.
• 5+ years of experience using Amazon Web Services (AWS) to architect and deploy reliable, cost‑effective, scalable, and secure cloud native solutions in an agile/scrum environment.
• Deep understanding of cloud computing technologies and workload transition challenges, knowledge of AWS Well‑Architected Framework, industry standards, and best practices.
• Strong experience with MLOps platforms such as AWS Sagemaker, Kubeflow, or MLflow.
• Hands‑on design and development experience using Python, Flask, Django, Async
  
  IO, etc.
• Good understanding of distributed software applications, including system integration, testing, and troubleshooting.
• Experience in monitoring the health of distributed systems and a strategy for error detection and recovery.
• Systems integration experience, including design and development of APIs, real‑time systems, and microservices.
• Current cloud technology experience, preferably AWS (EKS, S3, RDS, Lambda, Aurora, ECS‑Fargate, etc.).
• Passionate about learning new frameworks, building new processes and procedures from scratch, and training analysts on best practices.
• Demonstrable familiarity with CI/CD process, testing frameworks, and practices (Code Commit, Code Deploy, Code Pipeline, Jenkins, Harness, etc.).
• Experience integrating with async messaging, logging, or queues such as Kafka, Rabbit
  
  MQ, or SQS.
• Strong knowledge of software development process and project management methodologies.
• Strong problem‑solving and analytical skills.
• Excellent communication and documentation skills with the ability to lead cross‑functional initiatives.
• Enjoy working in a dynamic, fast‑moving, and challenging environment.
• Good team player and able to work with globally distributed teams.

• Experience with monitoring and logging tools – Dynatrace, Splunk, etc.
• Experience with ML frameworks:
  Tensor Flow, PyTorch, scikit‑learn.
• Experience with Kubeflow, MLflow, Airflow, or similar workflow orchestration tools.
• Building automated and scheduled pipelines for analytical processes.

We need Senior level candidates with core software engineering expertise in Python. This is a Senior Python Developer role with a focus on API development and real‑time experience. We are not looking for data engineering focused candidates. Please target candidates with 10+ years of experience from very large companies such as Pay Pal, Meta, Intuit, Netflix.