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Application Modernization Lead

Stellantis
Posted 3 months ago, valid for 12 days
Location

Auburn Hills, MI 48321, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Stellantis is seeking a technical lead to drive the design and implementation of an AI-powered Application Modernization Factory as part of their digital transformation initiatives.
  • The role requires a minimum of 5 years of experience in large-scale cloud or application modernization programs and offers a competitive salary.
  • Key responsibilities include defining modernization patterns, building AI-first pipelines, and enabling AI capabilities across the software lifecycle.
  • The position also involves collaboration with various IT domains and influencing architectural decisions for modernization strategies.
  • Candidates should possess strong expertise in cloud architectures, CI/CD pipelines, and a keen interest in AI-driven software modernization tools.

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

 

Qualifications

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



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