Early Career Technologist

Job Description

Early Career Technologist | MetLife

The Tone:
This is an early career position at MetLife, located in Whippany, NJ. MetLife’s Global Technology team shapes the future of digital solutions for customers globally, leveraging AI and automation to enhance experiences. This role is crucial for developing and supporting technology applications that simplify complex processes, improve tech resiliency, and ensure seamless solutions for critical life moments, helping individuals build a more confident future.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: Whippany, NJ

• Team: Global Technology team
• Mission: Develop and support software applications and platforms designed to help individuals build a more confident future.
• Tech Stack: Java, Python, C#, JavaScript/TypeScript, COBOL, Azure, AWS, GCP, GitHub CoPilot, Azure DevOps, Docker, Kubernetes, LangChain, Hugging Face, TensorFlow, Semantic Kernel, Relational databases, NoSQL databases, Azure OpenAI

What You’ll Actually Do
• Requirements Gathering: Assist in gathering and refining product requirements and user stories.
• Software Development: Support the design, development, testing, and deployment of full-stack software applications (UI, API, Data), leveraging AI tools.
• Code Review: Participate in peer reviews of code, solution designs, and configurations.
• Incident Resolution: Help investigate and resolve production incidents and service requests.
• Collaborative Problem Solving: Collaborate with cross-functional teams to identify innovative solutions.

The Must-Haves
• Background: A bachelor’s degree in Computer Science, Information Systems, Engineering, or a closely related discipline, conferred prior to the start date. This is an early-career technologist role.
• Experience: Internship or academic project experience in software development or AI/ML, with a 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, familiarity with database concepts, familiarity with cloud-native technologies (e.g., Azure, AWS, GCP), 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, and exposure to AI/ML concepts like prompt engineering, LLM APIs (e.g., Azure OpenAI), and AI SDKs (e.g., LangChain, Hugging Face, TensorFlow, Semantic Kernel).