Early Career Technologist

Job Description

Early Career Technologist | MetLife

The Tone:
This is an early career role at MetLife, located in Cary, NC, with a full-time start date in mid-June 2026. MetLife’s Global Technology team creates digital solutions for customers worldwide, using AI, automation, and modern methods to improve experiences and business results. This role is important for developing and supporting software applications and platforms that help people build a confident future by simplifying processes, enhancing tech resilience, and ensuring seamless solutions.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: In-person, Cary, NC

• Team: Global Technology team
• Mission: Develop and support scalable, secure, and intelligent software applications and platforms that help people build a more confident future.
• Tech Stack: Java, Python, C#, JavaScript/TypeScript, COBOL, AI tools (e.g., GenAI APIs, ML models, GitHub CoPilot, Azure OpenAI), AI SDKs (LangChain, Hugging Face, TensorFlow, Semantic Kernel), Azure, AWS, GCP, Azure DevOps, Docker, Kubernetes, Relational databases, NoSQL databases.

What You’ll Actually Do
• Requirements: Assist in gathering and refining product requirements and user stories.
• Development: Support the design, development, testing, and deployment of full stack software applications (UI, API, Data) while leveraging AI tools.
• Code Quality: Participate in peer reviews of code, solution designs, and configurations.
• Support: Help investigate and resolve production incidents and service requests.
• AI Integration: Contribute to the integration of AI capabilities into applications (e.g., GenAI APIs, ML models) and collaborate with cross-functional teams.

The Must-Haves
• Background: An early career professional with a bachelor’s degree in Computer Science, Information Systems, Engineering, or a closely related discipline, which must be conferred prior to the start date.
• Experience: 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.
• Skills: Proficiency in at least one programming language (e.g., Java, Python, C#, JavaScript/TypeScript, COBOL); basic understanding of software design principles, coding best practices, and secure coding practices; familiarity with database concepts, design, and development; familiarity with cloud-native technologies (e.g., Azure, AWS, GCP) and automated testing; strong communication, collaboration, and problem-solving skills.
• Bonus: 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, 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, and relational vs. NoSQL databases.