Software Modernization Software Engineer (LLM-Focused)
Role Overview
We are building an engineering team that can harness the transformative power of generative AI to modernize legacy software applications. In this role, you will leverage cutting-edge AI technology to analyze, refactor, and transform complex codebases into modern, cloud-based solutions. You will be a key contributor in shaping our modernization strategy and driving innovation within our organization.
Desired Qualifications
- Hands-on experience using LLMs through APIs (e.g., Claude, Gemini)
- Familiarity with different LLM architectures and their strengths/weaknesses
- Understanding of prompt engineering techniques to optimize LLM output
- Hands-on technical experience with cloud computing, including designing, deploying, and managing cloud-based solutions
What we are looking for in a strong candidate
- Cloud certifications in the area of architecture, data engineering, and/or machine learning
- Background working with government technology projects and programs
- Demonstrated ability to connect with stakeholders
- Bachelor's degree or equivalent experience required
Key Responsibilities
- Legacy Code Analysis and Understanding:
- Leverage generative AI tools to analyze and understand complex legacy mainframe codebases (COBOL, PL/I, etc.).
- Identify patterns, dependencies, and potential areas for optimization.
- Generative AI-Powered Modernization:
- Utilize AI to assist in refactoring, translating, or re-architecting mainframe applications into modern languages and architectures (Java, Python, microservices, etc.).
- Implement AI-driven code generation to accelerate modernization efforts while ensuring code quality and maintainability.
- Data Migration and Integration:
- Design and implement strategies for migrating data from legacy mainframe systems to modern databases or cloud platforms.
- Leverage AI to automate data transformation and ensure data integrity.
- Testing and Validation:
- Develop and execute comprehensive testing plans to ensure modernized applications meet functional and performance requirements.
- Utilize AI for automated test case generation and test execution.
- Collaboration and Innovation:
- Work closely with mainframe experts, architects, and other developers to understand modernization goals and constraints.
- Stay abreast of the latest advancements in generative AI and apply them to improve modernization processes.
Why Game Plan Tech?
Join a dynamic and growing team at Game Plan Tech, dedicated to empowering public sector organizations with best-in-class Google solutions. We foster a collaborative environment where you can make a significant impact, drive innovation for our clients, and advance your career.
Game Plan Tech is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all individuals, regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. We value diversity and are committed to ensuring a respectful, inclusive, and supportive environment for all employees, contractors, and applicants.
If you require reasonable accommodation during the application process or employment, please contact hr@gameplan.tech.
Bachelor's degree or equivalent experience, LLM API experience, prompt engineering, cloud solution design, and experience with legacy mainframe modernization, data migration, testing, and stakeholder collaboration.
Key Responsibilities
- analyzing codebases
- modernizing applications
- migrating data
Skills & Tools
Claude, Gemini, COBOL, PL/I, Java, Python, Google
Job Details
- Category: Software Development
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — United States
- Languages: English
About Game Plan Tech
A technology company empowering public sector organizations with Google solutions. — Industry: Information Technology