Summary
✨ AI‑Generated
A software engineering role focused on designing, developing, testing, and deploying enterprise applications. The position involves modern programming languages, secure solutions, and AI-enabled features.
Highlights
Hybrid role building enterprise applications with modern technologies and opportunities to integrate AI capabilities.
Description
Location: Hybrid schedule.
Must be in commutable distance to:
Cary, NCGreenville, SCClarks Summit, PA
Key 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.
Required Qualifications
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.
Preferred Qualifications
2 years of experience in Software Application Development with modern technologies, which include (but 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.
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.
