Information System Security Manager (ISSM)

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.