Sr Decision Services Developer

Purpose Financial•Greenville, SC

1d•Onsite

About The Position

Purpose Financial is hiring a senior individual contributor to design, build, and operate Python services on AWS that support credit risk, fraud detection, and lending decisions. Reporting to the Manager of Decision Science, the role drives technical design for APIs and event-driven, serverless applications using services including API Gateway, Lambda, EventBridge, and SageMaker. The position owns delivery from technical design and automated testing through deployment and production reliability, working with Data Science, Product, QA, and Engineering. Other duties may be assigned. The role integrates predictive models, business rules, and third-party data into real-time and batch decisioning workflows for loan applications and lead processing. It designs for scalability, security, and cost efficiency, and supports production monitoring, troubleshooting, incident resolution, and reliability improvements. The position also develops and maintains automated tests and collaborates with QA to diagnose defects, validate fixes, and prevent regressions. The position is based at the company’s downtown Greenville office. Travel is listed as 0%–10%. The work environment is business casual, and the role requires compliance with corporate policies and applicable industry rules and laws. Applicants must be authorized to work in the United States without current or future employment-based visa sponsorship and must be able to pass a background check.

Requirements

Five or more years of professional software development experience, including strong production Python expertise.
Hands-on experience building and operating AWS applications using services such as Lambda, API Gateway, and EventBridge.
Experience designing REST APIs, third-party integrations, and event-driven or asynchronous workflows.
Proficiency with SQL, relational databases, and data modeling.
Experience with automated testing, Bitbucket, Git, CI/CD, and infrastructure as code.
Ability to troubleshoot production systems using logs, metrics, and tracing.
Strong problem-solving and communication skills, including the ability to own technical delivery and explain tradeoffs to technical and business partners.
Knowledge of API contracts, validation, authentication, and versioning.
Understanding of AWS security practices, including least-privilege IAM, encryption, secrets management, and sensitive data protection.
Excellent written and verbal communication skills; adaptability and flexibility in a changing environment; and comfort working in a dynamic, high-volume, fast-paced environment.
Ability to understand and ensure compliance with policies, procedures, and laws governing the industry, business, and products.
Must be eligible to work in the United States without requiring current or future employment-based visa sponsorship.
Must be able to pass a background check.
Physical ability to perform the listed requirements, including sitting for long periods; occasional standing, walking, bending, squatting, kneeling, pushing/pulling, reaching, and twisting; frequent lifting of less than 10 lbs. and occasional lifting of up to 20 lbs.; driving and access to insured, reliable transportation during the workday; typing, data entry, grasping, transferring items, and using office equipment; and travel to and physical presence at assigned locations.

Nice To Haves

Bachelor’s degree in Information Systems, Computer Science, Engineering, Mathematics, or a related field; equivalent practical experience is also considered.
Experience with Amazon SageMaker hosting, inference, and deployment pipelines.
Experience with NoSQL databases.
Experience with high-volume, low-latency services.
Experience in financial services, fraud detection, credit risk, or underwriting.

Responsibilities

Drive the technical design and implementation of event-driven, serverless applications using AWS API Gateway, Lambda, EventBridge, and related services.
Design, build, and operate production Python services and APIs for fraud detection, credit risk decisioning, and third-party data integration.
Partner with data scientists to integrate Amazon SageMaker model hosting and inference and build automated pipelines for model endpoint deployment.
Integrate predictive models, business rules, and third-party data into real-time and batch decisioning workflows for loan applications and lead processing.
Design services for scalability, security, and cost efficiency, including reliable timeout, retry, idempotency, and failure-handling strategies.
Write maintainable, well-documented Python with type annotations and automated tests; improve code quality through reviews, shared standards, and knowledge sharing.
Build structured logging, metrics, tracing, dashboards, and actionable alerts to monitor application performance and model behavior in production.
Partner with Product, Data Science, QA, and Engineering to translate business requirements into technical designs and communicate architectural tradeoffs.
Develop automated unit, integration, and API tests using pytest and appropriate API testing tools such as Postman.
Own technical troubleshooting and incident resolution; improve decisioning service reliability, performance, and production readiness.
Collaborate with QA to diagnose defects, validate fixes, and prevent regressions.
Understand, adhere to, and enforce corporate policies.
Apply relevant policies, procedures, and industry regulations and support compliance with laws governing the company’s industry, business, and products.

Benefits

Competitive wages
Health and life benefits
Health Savings Account with employer seed contribution
401(k) savings plan with company match
Paid parental leave
Company-paid holidays
Paid time off, including volunteer time
Tuition reimbursement
Business casual environment
Rewards and recognition program
Employee Assistance Program
Downtown Greenville office with free parking, onsite gym, and free snacks and drinks