Software Development Engineer

Clarks Summit, PA

Full-time

Hybrid

Entry Level

MetLife is seeking a Software Development Engineer to support the development of modern enterprise applications. The role focuses on full-stack software development, integrating AI capabilities, building secure and high-performing solutions, collaborating with cross-functional teams, and resolving production issues.

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Responsibilities

Design, develop, test, and deploy software applications (Full Stack Development) using modern programming languages and frameworks
Build and maintain enterprise-grade applications and solutions with a focus on security and performance
Integrate AI Capabilities (e.g., GenAI APIs, ML models) into applications
Participate in peer reviews of code, solution designs, and configurations
Collaborate with cross-functional teams to gather requirements, refine user stories, and deliver innovative solutions
Troubleshoot and resolve production incidents and service requests

Qualification

Required

Must be in commutable distance to:
• Cary, NC
• Greenville, SC
• Clarks Summit, PA
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
1+ year of experience in Software Application Development with modern technologies, which include (but not limited to) any of the following:
Java, Python, C#, JavaScript/TypeScript
Experience with object-oriented programming concepts
Experience with relational databases and SQL
Internship or project experience in Software Application Development with modern technologies
Candidate must be currently authorized to work in the United States and must not require MetLife sponsorship or support for an immigration-related employment benefit (e.g., work permit or temporary work visa) in any capacity now or in the future

Preferred

2 years of experience in Software Application Development with modern technologies, which include (but are not limited to) any of the following:
Experience with Git-based repositories (GitHub, Bitbucket, Azure Repos)
Familiarity with AI/ML and emerging technologies, including:
Generative AI concepts, prompt engineering, and LLM APIs (e.g., Azure OpenAI)
Familiarity of Responsive UI/UX development concepts
Understanding of Relational and NoSQL database design concepts
Understanding of cloud-native application development and deployment on platforms such as Azure, AWS, or Google Cloud
Understanding of DevOps and automation practices, including CI/CD, release management, and tools such as Azure DevOps, Selenium, JUnit/Mockito
Understanding of modern Identity and Access Management and application security (AppSec) practices
Demonstrated ability to quickly learn and apply new skills to deliver high-quality software
Strong academic record or demonstrated extracurricular success (research, projects) in any field