Junior Software Engineer: AI & Cloud Innovator

MetLife; Cary (NC); Hybrid; USD 68,000 - 84,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

MetLife’s Global Technology team is hiring an Early Career Technologist to develop, support, and secure software applications. You will work in a hybrid setting, contributing to scalable AI-enabled solutions and modern software engineering practices.

Immediate hire for new graduates or early-career technologists with a passion for building reliable technology. The role emphasizes collaboration, learning, and delivering high-quality software across UI, API, and data layers while embracing AI

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a closely related discipline is required.
• Internship or academic project experience in software development or AI/ML.
• Demonstrated ability to learn and apply new skills to deliver high quality software.

Responsibilities

• Assist in gathering and refining product requirements and user stories.
• Support the design, development, testing, and deployment of full stack software applications leveraging AI tools.
• Participate in peer reviews of code, solution designs, and configurations.
• Help investigate and resolve production incidents and service requests.
• Collaborate with cross-functional teams to identify innovative solutions.
• Contribute to the integration of AI capabilities into applications (GenAI APIs, ML models).

Skills

Java

Python

C#

JavaScript/TypeScript

Cloud basics

Education

Bachelor's degree in Computer Science or related field

Tools

Azure

Docker

Kubernetes

GitHub Copilot

Azure DevOps

Job description

MetLife’s Global Technology team is hiring an Early Career Technologist to develop, support, and secure software applications. You will work in a hybrid setting, contributing to scalable AI-enabled solutions and modern software engineering practices.

Immediate hire for new graduates or early-career technologists with a passion for building reliable technology. The role emphasizes collaboration, learning, and delivering high-quality software across UI, API, and data layers while embracing AI