Software engineer python

Join a high-impact engineering team at the forefront of one of the most advanced data-driven decision systems in the banking industry. You’ll play a pivotal role in shaping real-time customer experiences and powering the backend services that assess creditworthiness and deliver instant decisions on new credit card products.

You’ll work on a high-volume platform capable of scaling to over 30,000 transactions per second, designed to connect attributes and data across multiple platforms and systems enterprise-wide. This is a rare opportunity to contribute to a cloud-native, real-time, and data-intensive platform that is central to the client’s long-term strategy.

Responsibilities:

• Build and support scalable services on AWS to power real-time credit decisioning systems
• Integrate data across various enterprise platforms to enable accurate, lightning-fast responses
• Collaborate with cross-functional teams on platform enhancements, feature rollouts, and CI/CD automation
• Write clean, efficient code primarily in Python, and contribute to infrastructure and deployment workflows
• Drive forward best practices in DevOps, observability, and performance optimization
• Work within a fast-paced, high-visibility surge team delivering key milestones for a major financial merger

Required Skills:

• Strong hands-on experience in Python
• AWS Cloud expertise across Compute, Storage, Databases, Serverless, and Data Processing services
• Familiarity with DevOps tools and CI/CD pipelines
• Experience building or maintaining high-scale, fault-tolerant systems

Preferred / Nice to Have:

• Experience with Spark or Kafka for real-time data streaming
• Familiarity with BBD tools and frameworks (Cucumber)
• Familiarity with Golang, AWS Glue, or GraphQL
• Hybrid software/data engineering background (e.g., building data-intensive applications)