Application Modernization Engineer

Mechanized AI; Buenos Aires; Teletrabalho; BRL 60.000 - 100.000; Tempo integral

Resumo da oferta

A leading company in AI innovation is seeking an experienced Application Modernization Engineer to join their remote delivery team. The role focuses on modernizing legacy applications using AI solutions and requires strong software architecture skills. Candidates should have a robust background in software development and the ability to solve complex challenges independently.

Qualificações

• 5+ years in software development with modernization experience.
• Experience with legacy applications like COBOL, VB.NET, Ruby on Rails.
• Upper intermediate (B2) English proficiency.

Responsabilidades

• Execute modernization projects using AI-driven solutions.
• Analyze legacy codebases to identify risks during migration.
• Design solutions that improve performance and maintainability.

Conhecimentos

Software architecture

Refactoring techniques

Design patterns

Problem-solving

AI tools

Code analysis

Software development

Cloud platforms

Containerization

Full-stack development

Formação académica

Bachelor's degree in computer science

Software engineering or related field

Descrição da oferta de emprego

Title:

Application Modernization Engineer

Job Type:

Full-Time

Location:

Remote

Company Description:

Mechanized AI is at the forefront of AI innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. We work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. Our team thrives on solving complex challenges and delivering innovative solutions. As an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning.

Job Summary:

We are seeking an experienced Application Modernization Engineer to join our internal delivery team. This hands-on, non-client-facing role reports to the AppMod Specialist and plays a key part in executing our modernization projects using Mechanized AI’s AI-powered solutions.

The ideal candidate will have a background in software architecture and proven experience modernizing legacy applications.

Key Responsibilities:

• Execute client application modernization projects using our AI-driven solutions and processes
• Analyze legacy codebases to understand business logic and identify dependencies and risks during migration
• Design and implement modern solutions that preserve legacy functionality while improving performance and maintainability
• Implement code transformations and refactoring strategies aligned with modern architectural best practices
• Collaborate with internal team members to document designs, migration strategies, and project learnings
• Identify project risks, issues, and dependencies, and help develop mitigation strategies to keep projects on track
• Stay current with emerging technologies and best practices in software modernization to continuously improve our methodologies and tools

Required Skills & Experience:

• Bachelor’s degree in computer science, software engineering or related field or — or equivalent experience (5+ years in software development)
• Proven experience modernizing legacy applications (e.g., COBOL, VB.NET, Ruby on Rails, ASP) and migrating them to modern languages such as Java, C#, or Python
• Strong understanding of software architecture, refactoring techniques, and design patterns
• Experience with tools and methodologies for code analysis, refactoring, and automated testing
• Experience working with or prompting AI tools
• Excellent problem-solving skills and a proactive mindset
• Comfortable working independently in a fast-paced, remote team environment
• Upper intermediate (B2) English proficiency

Preferred Qualifications:

• Experience with cloud platforms (AWS, Azure, or Google Cloud) in the context of modernization projects
• Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture
• Full-stack development experience across front-end and back-end technologies

Contact:

Camila Farias
Recruiting team
Mechanized AI