Fintech Full-Stack Engineer II: ML & Integrations

IceKredit; Westlake Village (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

IceKredit, a fast-growing fintech, is seeking a Full Stack Software Engineer II to own the full software development lifecycle across the product suite, bridging backend systems, data layers, and client-facing portals.

You will deploy ML-augmented risk models, build secure web applications, integrate with client stacks, and ensure performance, security, and scalability across cloud deployments on AWS. This role requires strong Java/Python backend skills and modern front-end fundamentals.

Qualifications

• Master's or Bachelor's degree with 3+ or 4+ years of professional software development experience.
• Strong backend experience in Java (Spring Boot) and Python (FastAPI/Flask/Django).
• Experience building RESTful APIs and integrating with client systems.
• Proficiency with relational databases and SQL performance tuning.
• Hands-on AWS experience and CI/CD workflows.

Responsibilities

• Own the full software development lifecycle across the product suite.
• Bridge enterprise backend systems, data layers, and client-facing web portals.
• Handle heavy server-side processing and build elegant interfaces.
• Design and optimize scalable integrations with external ecosystems.
• Containerize applications and manage cloud deployments.
• Write unit tests and participate in code reviews.

Skills

Full stack development

Java (Spring Boot)

Python backend (FastAPI/Flask/Django)

RESTful APIs

AWS infrastructure

Unit testing

Git workflows

Education

Master's degree in Computer Science, Information Systems, or Engineering

Bachelor's degree in Computer Science, Information Systems, or Engineering

Tools

PostgreSQL

MySQL

AWS (EC2, ECS, Lambda, RDS, S3)

FastAPI

Flask

Django

Git

REST APIs

Job description

IceKredit, a fast-growing fintech, is seeking a Full Stack Software Engineer II to own the full software development lifecycle across the product suite, bridging backend systems, data layers, and client-facing portals.

You will deploy ML-augmented risk models, build secure web applications, integrate with client stacks, and ensure performance, security, and scalability across cloud deployments on AWS. This role requires strong Java/Python backend skills and modern front-end fundamentals.