Junior Software Engineer

The Team You Will Join

When you join Met Life’s Global Technology team, you’ll be part of a forward-thinking group dedicated to shaping the future of digital solutions for customers worldwide. You’ll develop, maintain and support technology applications and delivery, leveraging AI, automation, and contemporary ways of working to enhance experiences and drive business outcomes. Your work will simplify complex processes, improve tech resiliency, and ensure high-performing, seamless solutions that power life’s most important moments.

In this dynamic environment, you’ll collaborate with talented peers across teams and functions, expanding your skills in impactful ways. Ready to push boundaries and set new industry standards? Join us and help drive the future of technology forward.

As an Early Career Technologist, you will contribute to the development and support of software applications and platforms that help people build a more confident future. This is an ideal opportunity for new college graduates and early-career technologists passionate about building scalable, secure, and intelligent solutions. You’ll work in a collaborative, agile environment and gain exposure to modern software engineering practices and AI-enabling technologies.

Employees hired for this role are expected to start full‑time in Cary, NC in mid‑June.

• Assist in gathering and refining product requirements and user stories.
• Support the design, development, testing, and deployment of full stack software applications (UI, API, Data) while 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 (e.g., GenAI APIs, ML models).

• A bachelor's degree in Computer Science, Information Systems, Engineering, or a closely related discipline must be conferred prior to start date.
• Internship or academic project experience in software development or AI/ML.
• Demonstrated ability to quickly learn and apply new skills to deliver high quality software as evidenced by academic or project experience.
• Proficiency in at least one programming language (e.g., Java, Python, C#, JavaScript/Type Script, COBOL, etc.).
• Basic understanding of software design principles and coding best practices.
• Familiarity with Database concepts, design, and development.
• Familiarity with cloud‑native technologies (e.g., Azure, AWS, GCP).
• Basic knowledge of secure coding practices and automated testing.
• Strong communication, collaboration, and problem‑solving skills.

• Understanding of Agile practices, Dev Sec Ops , and CI/CD pipelines.
• Familiarity with tools like Git Hub CoPilot, Azure Dev Ops, Docker, or Kubernetes.
• Exposure to AI/ML and other technology concepts such as:
• Prompt engineering and LLM APIs (e.g., Azure OpenAI)
• AI SDKs and frameworks (e.g., Lang Chain, Hugging Face, Tensor Flow, Semantic Kernel)
• Responsive UI/UX development
• Microservice vs. Monolithic architectures
• Containerization
• Relational vs. No
  
  SQL databases

If you need an accommodation due to a disability, please email us at  This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

Met Life maintains a drug‑free workplace.

If you have questions about this posting, please contact