Key skills

Large Language Models (LLMs) APIsOpenAI GPT seriesGoogle Vertex AILLM architecturesPrompt engineeringCloud computingCloud architecture certificationsData engineering certificationsMachine learning certificationsLegacy mainframe languages COBOLLegacy mainframe languages PL/IJavaPythonMicroservicesData migrationCloud platformsAutomated test case generationStakeholder engagementCOBOLAIMachine LearningGenerative AILLMOpenAIData Engineering

About this role

Game Plan Tech is a mission-driven consulting and services firm dedicated to helping government teams access innovative technologies. They are seeking a Software Modernization Software Engineer to leverage generative AI for modernizing legacy software applications and driving innovation within the organization.

Responsibilities:

Leverage generative AI tools to analyze and understand complex legacy mainframe codebases (COBOL, PL/I, etc.)
Identify patterns, dependencies, and potential areas for optimization
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
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
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
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

Requirements:

Hands-on experience using LLMs through APIs (e.g., OpenAI's GPT series, Google's Vertex)
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
Bachelor's degree or equivalent experience required
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