Junior Software Engineer
$76kMetLife
Description and Requirements
The Team You Will Join
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.
The Opportunity
As an Early Career Technologist, you will contribute to the development and support of software applications and platforms that help people build a more confident future. This is an ideal opportunity for new college graduates and early-career technologists passionate about building scalable, secure, and intelligent solutions. You’ll work in a collaborative, agile environment and gain exposure to modern software engineering practices and AI-enabling technologies. This role is for immediate hire.
Key Responsibilities
- Assist in gathering and refining product requirements and user stories.
- Support the design, development, testing, and deployment of full stack software applications (UI, API, Data) while leveraging AI tools.
- Participate in peer reviews of code, solution designs, and configurations.
- Help investigate and resolve production incidents and service requests.
- Collaborate with cross-functional teams to identify innovative solutions.
- Contribute to the integration of AI capabilities into applications (e.g., GenAI APIs, ML models).
Required Qualifications
- 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., Java, Python, C#, JavaScript/TypeScript, COBOL, etc.).
- Basic understanding of software design principles and coding best practices
- Familiarity with Database concepts, design, and development
- Familiarity with cloud-native technologies (e.g., Azure, AWS, GCP).
- Basic knowledge of secure coding practices and automated testing.
- Strong communication, collaboration, and problem-solving skills.
Preferred Qualifications
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
Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.
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.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s [1] #AllTogetherPossible. Join us!
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics").
If you need an accommodation due to a disability, please email us at View email address on click.appcast.io. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liabilities.
This posting is for a current vacancy and is anticipated to remain open for at least 90 days from the listed posting date. References
Visible links
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