Software Engineer

The Team You Will Join When you join MetLife’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. The Opportunity 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. How You’ll Help Us Build a Confident Future (Key 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). What You Will Need To Succeed (Required Qualifications) A 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 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 Qualifications 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 #J-18808-Ljbffr