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Application Modernization Lead

Stellantis

Technical Lead For AI-Powered Application Modernization Factory

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.

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
Vacancy posted 2 days ago
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