Software Engineer II: AI-Driven Cloud & Hybrid Solutions

GM Financial; Arlington (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

401K matching

Bonding leave for new parents

Tuition assistance

GM employee discount

Flexible hybrid work

Job summary

GM Financial Technology is seeking a Software Developer II to drive feature development across data marketplaces, mobile and web apps, and APIs. You will participate in cloud migrations, build automated pipelines, and contribute to test automation while maintaining a production-focused mindset.

The role emphasizes Agile practices, collaborative teams, and continuous learning in a hybrid work environment with opportunities to work across AI-enabled initiatives.

Qualifications

• Experience delivering software in Agile/Scrum environments.

Responsibilities

• Develop product features for data marketplaces, mobile apps, web apps, and APIs.
• Migrate product to public cloud within the team as appropriate.
• Invest in learning and experimentation to accelerate cloud implementations.
• Build & maintain automated pipelines for build, test, and deployment.
• Contribute to test automation and peer reviews to improve quality.
• Maintain production-first mindset for scale, uptime, and rapid triage of issues.
• Improve Agile practices to boost quality and time-to-market.

Skills

Software development

Agile Scrum

Problem solving

Communication

Test automation

Security controls

Cloud concepts

Team collaboration

Education

Bachelor's Degree in Computer Science or related Engineering

High School Diploma or equivalent

Tools

Azure DevOps

Terraform

Jenkins

Chef

Octopus Deploy

SonarQube

Checkmarx

Git

Xamarin

Angular

Javascript

CSS

Node.js

ASP.NET MVC

Docker

Kubernetes

Oracle

Microsoft SQL Server

NoSQL (CosmosDB)

Selenium

Postman

Maven

TestNG

JMeter

Job description

GM Financial Technology is seeking a Software Developer II to drive feature development across data marketplaces, mobile and web apps, and APIs. You will participate in cloud migrations, build automated pipelines, and contribute to test automation while maintaining a production-focused mindset.

The role emphasizes Agile practices, collaborative teams, and continuous learning in a hybrid work environment with opportunities to work across AI-enabled initiatives.