Application Modernization Lead

As part of Stellantis’ digital transformation, we are accelerating enterprise-wide modernization initiatives to reduce datacenter footprint, modernize legacy applications, and migrate critical workloads to cloud‑native platforms.

To scale these efforts, we are establishing an AI‑powered Application Modernization Factory, leveraging agentic AI and GitHub Copilot to industrialize modernization across domains.

We are seeking a technical lead to design, build, and scale this capability, enabling faster, more predictable, and repeatable transformation at scale.

Key Responsibilities:

Modernization Factory Design & Build

Define and implement the AI‑powered modernization factory model

Design and standardize modernization and migration patterns

Build AI-first pipelines leveraging GitHub Copilot, agentic AI, and complementary tooling

Establish scalable, reusable frameworks for enterprise modernization

AI-Driven Transformation Enablement

Define and implement AI capabilities across the software lifecycle, including:

Legacy code assessment and complexity analysis

Functional decomposition and domain modeling

Automated refactoring and migration to cloud-native architectures

Security, IAM, and compliance validation

Test generation, regression testing, and UAT acceleration

Program Leadership & Stakeholder Collaboration

Act as a technical lead and thought leader, driving adoption across IT domains

Collaborate with security, cloud, DevOps, and platform teams

Define and promote new ways of working for AI-driven transformation

Influence architectural decisions and modernization strategies across the organization

Modernization Initiatives

Lead and support transformation across key domains:

Identity & Access Management (IAM) modernization and legacy system retirement

Migration of legacy applications to cloud-native architectures

Mainframe transformation and cloud offloading strategies

Basic Qualifications:

Bachelor’s degree in Engineering, Computer Science, or a related field

Minimum 5 years of experience in large-scale cloud or application modernization programs

Strong expertise in cloud architectures (AWS and/or Azure)

Proven experience with CI/CD pipelines and developer toolchains (e.g., GitHub, automation pipelines, quality tooling)

Hands-on experience or strong interest in AI-driven software modernization , including tools such as GitHub Copilot, Copilot Agents, Claude, or Codex

Solid architectural judgment and problem-solving capabilities

Professional Skills:

Ability to operate effectively in complex enterprise environments

Strong communication, collaboration, and influence skills

Experience driving cross-functional transformation initiatives