14711 - Appmod SCE (Application Modernization Specialist Consultant Engineer)

Escopo Role: Appmod SCE (Application Modernization Specialist Consultant Engineer) - Start Date: Immediately - Assignement Duration: 5 months - Work Location: 100% remoto - Working Hours: Brazilian business hours - Languages: Advanced or fluent English mandatory **Application Modernization Specialist Consultant Engineer – AppMod SCE** **Position Information** • Client: Google • Engagement Type: Subcontractor / Independent Contractor (PJ) • Start Date: Immediate – ASAP • Allocation Period: 5 months • Work Location: 100% remote • Working Hours: Brazilian business hours • Hourly Rate: R$ 200.00, including the consulting company fee • Language Requirement: Advanced or fluent English **Position Overview** We are looking for an experienced Application Modernization Specialist Consultant Engineer to join the LATAM Application Modernization – AppMod practice. The professional will support digital transformation initiatives focused on enterprise application modernization, cloud-native architecture, DevOps, platform engineering, and the adoption of Artificial Intelligence throughout the Software Development Lifecycle – SDLC. This position requires strong software development and application architecture experience, practical knowledge of Google Cloud Platform, and the ability to work directly with clients and globally distributed teams in English. **Key Responsibilities** • Support enterprise application modernization and digital transformation initiatives. • Assess existing applications and recommend modernization strategies, architectural improvements, and cloud-native solutions. • Design modern application architectures using Google Cloud Platform services and technologies. • Support application development, DevOps, and platform engineering initiatives. • Implement and optimize automated build, testing, deployment, and infrastructure pipelines. • Establish and improve Continuous Integration and Continuous Delivery – CI/CD practices. • Apply AI-driven development practices throughout the Software Development Lifecycle. • Support the adoption of AI-assisted engineering, Site Reliability Engineering, and software development approaches. • Work directly with clients to understand technical requirements, define solutions, and provide specialized consulting. • Collaborate with technical teams, architects, developers, platform engineers, and stakeholders across LATAM and global environments. • Contribute to the acceleration of software delivery cycles, engineering productivity, application reliability, and modernization outcomes. **Required Technical Skills** **Application Modernization** • Strong experience modernizing and transforming enterprise applications. • Experience assessing legacy systems and defining application modernization strategies. • Knowledge of modern application architecture principles and patterns. • Experience designing scalable, resilient, maintainable, and cloud-native applications. **Application Development, DevOps, and Platform Engineering** • Strong software development background. • Practical experience with DevOps methodologies and engineering practices. • Experience with platform engineering concepts and implementation. • Experience automating software development, infrastructure, testing, and deployment pipelines. • Strong knowledge of Continuous Integration and Continuous Delivery – CI/CD. **Google Cloud Platform – GCP** • Hands-on experience working in Google Cloud Platform environments. • Experience developing and architecting cloud-native solutions on GCP. • Knowledge of cloud architecture, application services, infrastructure automation, observability, reliability, and security practices. **Artificial Intelligence Applied to Software Engineering** • Knowledge of AI-driven Software Development Lifecycle – AI-driven SDLC practices. • Knowledge or experience with Antigravity. • Knowledge or experience with Antigravity 2.0. • Knowledge or experience with Antigravity CLI. • Understanding of AI-augmented Site Reliability Engineering – AI-augmented SRE. • Knowledge of Spec-driven Development. • Knowledge of Intent Spec-driven Development. • Experience with ADK – Agent Development Kit, or equivalent AI agent development frameworks. **Professional Profile** • Strong background in software development and application engineering. • Experience with cloud application architecture. • Proven exposure to enterprise application transformation and modernization initiatives. • Strong knowledge of automation, DevOps, and CI/CD practices. • Demonstrated interest or experience in Artificial Intelligence applied to the software development lifecycle. • Ability to work effectively in global and multicultural environments. • Strong client-facing communication and consulting skills. • Ability to collaborate with geographically distributed technical teams. • Analytical thinking and the ability to translate business and technical requirements into practical solutions. • Proactive, autonomous, and results-oriented approach. **Language Requirement** Advanced or fluent English is mandatory, as the professional will communicate directly with clients, technical teams, and stakeholders in English throughout the engagement. **Important Information for Your CV** The CV must clearly describe practical experience with application modernization, software development, application architecture, DevOps, platform engineering, CI/CD automation, and Google Cloud Platform. It should also specify the applications, cloud services, development technologies, architecture patterns, automation tools, AI-assisted development practices, projects, responsibilities, and results delivered in each professional experience. Knowledge of AI-driven SDLC, Antigravity, Antigravity 2.0, Antigravity CLI, AI-augmented SRE, Spec-driven Development, Intent Spec-driven Development, and ADK or equivalent frameworks must be explicitly highlighted whenever applicable. Further information will be given along the technical interview.