Software Engineer - Cloud-Native Fraud Platform (Hybrid)

q2ebanking

Cary (NC)

Hybrid

USD 90,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

Hybrid Work
Flexible PTO
Career Development
Health Insurance
Parental Leave
Volunteer Programs
Peer Recognition

Job summary

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally.

We are seeking engineers who are eager to learn, enjoy working across the stack, and care about building reliable software in production environments. In this role you will design, implement, test, and operate cloud-native, data-driven services within our Fraud Intelligence Platform, collaborating with experienced engineers and

Qualifications

  • Bachelor's degree or equivalent experience with up to 2+ years of related work.
  • Proficiency in Python, SQL and JavaScript.
  • Web development experience with modern front-end frameworks (Vue/Angular/React).
  • Understanding of full software development life cycle (SDLC).
  • Strong analytical, problem-solving and written/verbal communication skills.
  • Experience building apps using AWS-native, service-oriented architecture (RDS, Lambdas, IAM Roles, S3, EKS).
  • Fluent written and spoken English.
  • Authorized to work in the U.S. without sponsorship.

Responsibilities

  • Implement and unit test back-end components and front-end web pages.
  • Create, integrate, and test software solutions of moderate complexity.
  • Support, maintain, and resolve issues in production systems.
  • Ensure adherence to security, confidentiality, and privacy policies and controls.

Skills

Python
SQL
JavaScript

Education

Bachelor's degree in CS/IS or equivalent

Tools

AWS native services
Front-end frameworks (Vue/ Angular/ React)

Job description

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally.

We are seeking engineers who are eager to learn, enjoy working across the stack, and care about building reliable software in production environments. In this role you will design, implement, test, and operate cloud-native, data-driven services within our Fraud Intelligence Platform, collaborating with experienced engineers and

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