Junior Software Engineer

Cary, NC

Full-time

Hybrid

New Grad, Entry Level

MetLife is a leading financial services company dedicated to shaping the future of digital solutions for customers worldwide. As a Junior Software Engineer, you will assist in the development and support of software applications, collaborating in a dynamic environment to enhance customer experiences through technology and AI.

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Responsibilities

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)

Qualification

Required

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/TypeScript, 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

Preferred

Understanding of Agile practices, DevSecOps, and CI/CD pipelines
Familiarity with tools like GitHub CoPilot, Azure DevOps, 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., LangChain, Hugging Face, TensorFlow, Semantic Kernel)
Responsive UI/UX development
Microservice vs. Monolithic architectures
Containerization
Relational vs. NoSQL databases