Sr. Software Engineer

Description

We are looking for a Sr. Software Engineer to help shape and advance AI-driven software modernization efforts in Exton, Pennsylvania. This role will guide engineering teams on applied AI practices, improve code conversion quality across varied product environments, and contribute to standards that support scalable adoption throughout the organization. The position is well suited for someone who enjoys complex technical analysis, modern automation, and working across a broad mix of legacy and contemporary technologies with a global team.

Responsibilities:
Assess complex code conversion outcomes, identify areas where automated results need refinement, and make targeted adjustments when necessary to preserve functionality and accuracy.
Improve AI-based modernization workflows by defining effective coding patterns, highlighting risky translation scenarios, and strengthening output quality over time.
Investigate difficult translation issues by comparing behavior across languages, compilers, runtime environments, and platforms to resolve defects or precision gaps.
Build internal utilities, scripts, and automation that increase efficiency, consistency, and visibility across code modernization initiatives.
Design comprehensive validation strategies and resilient test coverage to confirm that transformed code performs correctly and meets expected standards.
Evaluate emerging AI tools and methods on an ongoing basis, recommending enhancements that keep modernization practices effective and current.
Determine practical boundaries of different technologies and approaches so teams can make informed implementation decisions.
Support broader engineering adoption by mentoring developers, sharing technical guidance, and creating learning materials around AI-assisted development practices.

Requirements

Demonstrated interest in applying AI to software engineering and code transformation challenges.
Strong analytical and troubleshooting skills with the ability to solve technically complex problems in a structured way.
Experience working with both legacy languages such as C or Fortran and modern technologies such as .NET, Rust, or TypeScript to compare and validate converted code.
Ability to understand language-specific design patterns and assess how implementation differences affect behavior and maintainability.
Proven capacity to research unfamiliar topics quickly and turn new knowledge into practical engineering solutions.
Experience decomposing large or intricate systems to identify root causes, dependencies, and areas of risk.
Working knowledge of cloud-based development environments and related engineering practices.
Familiarity with technologies such as C#, ASP.NET, JavaScript, React.js, container platforms, web technologies, or cloud and application security is beneficial.

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