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 EnablementDefine 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 InitiativesLead 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
