Senior Python AWS Services Engineer – Fraud & Risk

Purpose Financial; Greenville (SC); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Competitive wages

Health/Life benefits

401(k) with company match

Paid parental leave

Paid time off

Tuition reimbursement

Downtown Greenville office with free

Free parking

Onsite gym

Free snacks/drinks

Job summary

Purpose Financial seeks a senior software engineer to design, build, and operate Python services on AWS powering credit risk, fraud detection, and lending decisions. You will own API design, event-driven serverless architectures, and deployment pipelines from design to production reliability.

Collaborate across Data Science, Product, QA, and Engineering; develop automated tests, maintain logging, and ensure scalable, secure systems with cost-conscious design.

Qualifications

• Five+ years in professional software development.
• Strong Python production experience.
• Experience with AWS Lambda, API Gateway, and EventBridge.
• REST API design and third-party integrations.
• SQL and data modeling proficiency.
• Automated testing, CI/CD, and infrastructure as code.
• Experience in financial services or fraud detection preferred.

Responsibilities

• Design and implement serverless Python services on AWS.
• Build APIs for fraud detection and credit risk decisioning.
• Integrate SageMaker hosting and inference.
• Develop data pipelines and real-time decisioning workflows.
• Ensure scalability, security, and cost efficiency.
• Write tests and maintain code quality with reviews.
• Collaborate with Product, QA, Data Science, and Engineering.
• Monitor production with logging, metrics, and alerts.

Skills

Python programming

AWS

REST APIs

CI/CD

SQL

Testing

Security best practices

Education

BS in CS/IS/Engineering

Tools

Bitbucket

Git

CI/CD tools

Job description

Purpose Financial seeks a senior software engineer to design, build, and operate Python services on AWS powering credit risk, fraud detection, and lending decisions. You will own API design, event-driven serverless architectures, and deployment pipelines from design to production reliability.

Collaborate across Data Science, Product, QA, and Engineering; develop automated tests, maintain logging, and ensure scalable, secure systems with cost-conscious design.