MetLife

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.

MetLife Investments IT is looking for a curious, motivated Junior Software Engineer to join our Investments IT Global Accounting team in Tampa. This is an exciting opportunity for an early-career technologist or recent graduate who wants to build real-world software, learn modern engineering practices, and work with emerging technologies including AI, automation, cloud-native platforms, and DevSecOps.

In this role, you’ll be supported by experienced engineers and business partners as you grow your technical skills, learn the Investments IT accounting domain, and contribute to solutions that help transform how our business operates. You’ll have opportunities to experiment, solve meaningful problems, collaborate across teams, and bring fresh ideas to a team that values innovation, continuous learning, and practical impact.

You will receive hands-on mentorship, structured onboarding, and opportunities to build confidence as you grow into a full-stack engineering role. The ideal candidate is eager to learn, enjoys solving problems, communicates well, and has hands-on experience from internships, academic projects, personal projects, or early professional work.

• Learn the Investments IT accounting domain, team tools, and development practices while contributing to guided onboarding, documentation, and knowledge-building activities. 
• Support the design, development, testing, and maintenance of software solutions under the guidance of senior engineers and product partners. 
• Participate in Agile team ceremonies, backlog refinement, and spec-driven development sessions by capturing notes, asking questions, and helping clarify requirements. 
• Assist with user stories, acceptance criteria, test cases, documentation updates, and low-risk production support activities to help improve application quality and team delivery. 
• Explore opportunities to apply AI, automation, and modern engineering tools to simplify processes, improve team efficiency, and support business transformation.

• 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., .net/C#, swl, Python, Java,  JavaScript/TypeScript, etc.).
• Basic understanding of software design principles and coding best practices.
• Familiarity with database concepts, design, and development.
• Basic exposure to cloud-native technologies (e.g., Azure, AWS, GCP).
• Basic knowledge of secure coding practices and automated testing.
• Strong communication, collaboration, and problem-solving skills.

Exposure to one or more of the following is a plus but not required:

• 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

The expected salary for this position is $76,000. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.