Application Modernization Lead

India

Auburn (AL)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

India is seeking a technical lead to drive AI-powered application modernization initiatives. You will design and build a capability that enables predictable transformation at scale, leveraging tools like GitHub Copilot.

Key responsibilities include defining modernization patterns, leading transformation initiatives, and collaborating with cross-functional teams. Required qualifications include a degree in Engineering or Computer Science, 5+ years' experience in cloud or application modernization, and strong expertise in cloud architectures.

Qualifications

  • Minimum 5 years of experience in large-scale cloud or application modernization programs.
  • Hands-on experience or strong interest in AI-driven software modernization.
  • Solid architectural judgment and problem-solving capabilities.

Responsibilities

  • Define and implement the AI-powered modernization factory model.
  • Collaborate with security, cloud, DevOps, and platform teams.
  • Lead and support transformation across key domains.

Skills

Cloud architectures (AWS and/or Azure)
CI/CD pipelines
AI-driven software modernization
Architectural judgment

Education

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

Tools

GitHub
Automation pipelines

Job description

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
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