📍 Job Overview

Job Title: Senior GCP Cloud Engineer
Company: CI&T
Location: Brasília, Federal District, Brazil
Job Type: Hybrid (1 day per week in the office)
Category: DevOps Engineer, Cloud Engineer
Date Posted: July 25, 2025
Experience Level: 5-10 years
Remote Status: Hybrid

🚀 Role Summary

Key web technology aspect 1: Act as an autonomous professional in creating solutions on the Google Cloud Platform (GCP), including infrastructure architecture and implementation using automation/DevOps.
Key web technology aspect 2: Develop full-stack applications and leverage AI solutions to drive innovation and value.
Key web technology aspect 3: Collaborate with cross-functional teams to design, implement, and maintain scalable and secure cloud-based solutions.
Key web technology aspect 4: Stay up-to-date with emerging technologies and best practices in cloud computing and AI.

📝 Enhancement Note: This role requires a strong background in GCP and AI, with a focus on generative AI, prompt engineering, and vector databases. Experience with RAG (Retrieval-Augmented Generation) and tools like Promptflow is also crucial.

💻 Primary Responsibilities

Web technology responsibility 1: Design and implement scalable, secure, and highly available cloud-based solutions using GCP services.
Web technology responsibility 2: Develop and maintain full-stack applications using Python, NodeJS, and other relevant technologies.
Web technology responsibility 3: Collaborate with cross-functional teams to define, design, and ship new features and services.
Web technology responsibility 4: Contribute to the development of internal tools and frameworks to improve productivity and efficiency.
Web technology responsibility 5: Troubleshoot and resolve technical issues, and provide support to other team members as needed.

📝 Enhancement Note: This role requires a strong understanding of cloud architecture, infrastructure as code (IaC) tools like Terraform, and GKE (Google Kubernetes Engine). Experience with load balancers, serverless architectures, and SQL/NoSQL databases is also beneficial.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant experience may substitute for a degree.

Experience: 5-10 years of experience in cloud engineering, with a focus on GCP and AI. Experience in re-architecting and modernizing legacy applications is a plus.

Required Skills:

Google Cloud Platform: Proficient in GCP services, with experience in infrastructure architecture and implementation.
Programming Languages: Proficient in Python and NodeJS, with experience in full-stack application development.
AI Solutions Development: Experience in developing AI solutions using generative AI, prompt engineering, and vector databases.
RAG & VectorDB: Experience with RAG (Retrieval-Augmented Generation) and vector databases.
Promptflow: Experience with Promptflow or similar tools for building and managing AI workflows.
Infrastructure as Code (IaC): Experience with IaC tools like Terraform for automating infrastructure management.
Load Balancer, Serverless, GKE: Experience with load balancers, serverless architectures, and GKE for managing containerized applications.
SQL/NoSQL Databases: Experience with SQL and NoSQL databases for data management.

Preferred Skills:

LLM Fine-Tuning: Experience in fine-tuning large language models (LLMs) for specific use cases.
Langchain, Llamaindex: Experience with Langchain, Llamaindex, or similar tools for building and managing AI applications.
Streamlit/Taipy/Mesop: Experience with Streamlit, Taipy, Mesop, or similar tools for building user interfaces for AI applications.

📝 Enhancement Note: This role requires a strong background in AI and machine learning, with a focus on generative AI and prompt engineering. Experience with LLM fine-tuning, Langchain, and Llamaindex is a plus.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Project 1: A case study demonstrating your experience in designing and implementing scalable, secure, and highly available cloud-based solutions using GCP services.
Project 2: A full-stack application showcasing your proficiency in Python, NodeJS, and other relevant technologies.
Project 3: A project highlighting your experience in developing AI solutions using generative AI, prompt engineering, and vector databases.
Project 4: A project demonstrating your ability to collaborate with cross-functional teams to define, design, and ship new features and services.

Technical Documentation:

Documentation 1: Detailed documentation of your cloud-based solutions, including architecture diagrams, deployment scripts, and any relevant configuration files.
Documentation 2: Code comments and inline documentation for your full-stack applications, explaining your design decisions and implementation choices.
Documentation 3: A README file for each project in your portfolio, providing an overview of the project, its purpose, and any relevant setup instructions.

📝 Enhancement Note: This role requires a strong focus on cloud architecture, infrastructure as code (IaC), and AI solutions development. Your portfolio should demonstrate your ability to design, implement, and maintain scalable, secure, and highly available cloud-based solutions using GCP services.

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in Brasília, Brazil is R$15,000 - R$25,000 per month, based on market research and web technology industry standards. This range takes into account the candidate's experience level, the company's size, and the location.

Benefits:

Health Insurance
Dental Insurance
Meal Voucher
Childcare Assistance
Extended Parental Leave
Gym and Wellness Partnerships
Profit Sharing
Life Insurance
Continuous Learning Platform
Discount Club
Free Online Health Promotion Platform
Pregnancy and Responsible Parenting Course
Partnership with Online Course Platforms
Language Learning Platform

Working Hours: The standard workweek is 40 hours, with flexible scheduling to accommodate project deadlines and maintenance windows.

📝 Enhancement Note: The salary range provided is an estimate based on market research and web technology industry standards. The actual salary may vary depending on the candidate's experience, skills, and the company's internal salary structure.

🎯 Team & Company Context

🏢 Company Culture

Industry: CI&T is a global technology services company focused on digital transformation, with a strong presence in the financial services, retail, and healthcare industries.

Company Size: CI&T has over 7,400 employees worldwide, with a presence in over 30 countries. This size allows for ample opportunities for growth and collaboration within the company.

Founded: CI&T was founded in 1995 and has since grown into a global leader in digital transformation, with a strong focus on cloud computing and AI.

Team Structure:

Team Size: The cloud engineering team at CI&T consists of multiple teams, each focusing on different aspects of cloud computing and AI.
Reporting Structure: The team follows a matrix reporting structure, with members reporting to both their functional manager and the project manager for their current assignment.
Cross-Functional Collaboration: The team works closely with other departments, including design, marketing, and business teams, to ensure that cloud-based solutions meet the needs of the business and end-users.

Development Methodology:

Agile/Scrum Methodologies: The team follows Agile/Scrum methodologies for project management, with regular sprint planning and stand-up meetings.
Code Review & Quality Assurance: The team follows a code review process to ensure code quality and knowledge sharing. They also use automated testing and quality assurance tools to ensure the reliability and performance of cloud-based solutions.
Deployment Strategies: The team uses CI/CD pipelines and infrastructure as code (IaC) tools like Terraform to automate deployment and manage infrastructure.

Company Website: https://ciandt.com/br/pt-br/

📝 Enhancement Note: CI&T's company culture emphasizes innovation, collaboration, and continuous learning. The company's size and global presence provide ample opportunities for growth and collaboration within the team and across the organization.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a senior-level position, requiring a high level of expertise in cloud computing, AI, and full-stack application development. The role involves leading projects, mentoring junior team members, and driving innovation within the team.

Reporting Structure: The senior cloud engineer reports directly to the cloud engineering manager and works closely with other senior team members, project managers, and stakeholders.

Technical Impact: The role has a significant impact on the company's cloud-based solutions, driving innovation and ensuring that solutions meet the needs of the business and end-users. The role also involves mentoring junior team members and contributing to the development of internal tools and frameworks to improve productivity and efficiency.

Growth Opportunities:

Technical Growth: The role provides ample opportunities for technical growth, with a focus on emerging technologies in cloud computing and AI. The company's global presence also provides opportunities for international assignments and exposure to diverse technologies and industries.
Leadership Growth: The role offers opportunities for leadership growth, with the potential to take on more significant projects and mentor junior team members. The company's size and structure also provide opportunities for career progression into management or architecture roles.
Domain Expertise: The role allows for the development of deep expertise in specific areas of cloud computing and AI, with the opportunity to become a subject matter expert (SME) in the field.

📝 Enhancement Note: This role offers significant opportunities for growth and development within the team and across the organization. The company's size, global presence, and focus on innovation provide a strong foundation for career progression and technical expertise.

🌐 Work Environment

Office Type: CI&T's office in Brasília is a modern, collaborative workspace designed to facilitate communication and collaboration among team members.

Office Location(s): The office is located in Brasília, with a requirement for on-site presence one day per week due to the company's policy on office attendance.

Workspace Context:

Workspace Aspect 1: The office features open-plan workspaces, with ample room for collaboration and communication among team members.
Workspace Aspect 2: The office is equipped with state-of-the-art technology, including multiple monitors, testing devices, and development tools to support the team's work.
Workspace Aspect 3: The office encourages cross-functional collaboration, with regular team meetings, workshops, and training sessions to foster knowledge sharing and continuous learning.

Work Schedule: The standard workweek is 40 hours, with flexible scheduling to accommodate project deadlines and maintenance windows. The role requires on-site presence one day per week, with the remainder of the week working remotely.

📝 Enhancement Note: CI&T's office in Brasília provides a modern, collaborative workspace designed to support the team's work and facilitate communication and collaboration among team members. The company's policy on office attendance balances the need for on-site presence with the flexibility of remote work.

📄 Application & Technical Interview Process

Interview Process:

Process Step 1: Technical assessment, focusing on the candidate's proficiency in GCP, cloud architecture, and AI solutions development. The assessment may include a hands-on exercise or case study.
Process Step 2: System design discussion, focusing on the candidate's ability to design scalable, secure, and highly available cloud-based solutions using GCP services.
Process Step 3: Cultural fit assessment, focusing on the candidate's ability to work effectively within the team and contribute to the company's culture of innovation and collaboration.
Process Step 4: Final evaluation, focusing on the candidate's overall fit for the role and the team, as well as their potential for growth and development within the company.

Portfolio Review Tips:

Tip 1: Highlight your experience in designing and implementing scalable, secure, and highly available cloud-based solutions using GCP services.
Tip 2: Showcase your full-stack application development skills, with a focus on Python, NodeJS, and other relevant technologies.
Tip 3: Demonstrate your expertise in AI solutions development, with a focus on generative AI, prompt engineering, and vector databases.
Tip 4: Emphasize your ability to collaborate with cross-functional teams to define, design, and ship new features and services.

Technical Challenge Preparation:

Challenge 1: Familiarize yourself with GCP services, with a focus on infrastructure architecture and implementation. Brush up on your Python and NodeJS skills, as well as your knowledge of AI solutions development.
Challenge 2: Prepare for system design discussions by reviewing case studies and best practices for designing scalable, secure, and highly available cloud-based solutions using GCP services.
Challenge 3: Practice communicating your technical expertise and design decisions clearly and effectively, with a focus on driving innovation and value within the team.

ATS Keywords: See the comprehensive list of web development and server administration-relevant keywords for resume optimization, organized by category, in the 🛠 Technology Stack & Web Infrastructure section below.

📝 Enhancement Note: The interview process for this role focuses on the candidate's technical expertise in cloud computing, AI, and full-stack application development. The process also assesses the candidate's cultural fit and potential for growth and development within the company.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable for this role.

Backend & Server Technologies:

Google Cloud Platform: Proficient in GCP services, with experience in infrastructure architecture and implementation.
Python: Proficient in Python, with experience in full-stack application development and AI solutions development.
NodeJS: Proficient in NodeJS, with experience in full-stack application development and AI solutions development.
Generative AI: Experience with generative AI tools and frameworks, such as Gemini.
Prompt Engineering: Experience in designing and implementing prompt engineering solutions for AI applications.
VectorDB: Experience with vector databases for managing and querying large-scale data.

Development & DevOps Tools:

Terraform: Experience with Terraform for automating infrastructure management and deployment.
Load Balancer: Experience with load balancers for managing traffic and ensuring high availability for cloud-based solutions.
Serverless: Experience with serverless architectures for building scalable, cost-effective, and highly available cloud-based solutions.
GKE: Experience with GKE for managing containerized applications and ensuring high availability and scalability.
SQL/NoSQL Databases: Experience with SQL and NoSQL databases for data management and storage.

📝 Enhancement Note: This role requires a strong background in cloud computing, AI, and full-stack application development. The technology stack for this role focuses on GCP services, Python, NodeJS, and AI solutions development.

👥 Team Culture & Values

Web Development Values:

Innovation: CI&T values innovation and encourages team members to explore new technologies and approaches to drive business value.
Collaboration: CI&T emphasizes collaboration and fosters a culture of knowledge sharing and teamwork.
Quality: CI&T is committed to delivering high-quality solutions that meet the needs of the business and end-users.
Continuous Learning: CI&T encourages continuous learning and provides opportunities for team members to develop their skills and expertise.

Collaboration Style:

Cross-Functional Integration: The team works closely with other departments, including design, marketing, and business teams, to ensure that cloud-based solutions meet the needs of the business and end-users.
Code Review Culture: The team follows a code review process to ensure code quality and knowledge sharing.
Peer Programming: The team encourages peer programming and pair programming to facilitate knowledge sharing and collaboration.

📝 Enhancement Note: CI&T's team culture emphasizes innovation, collaboration, and continuous learning. The company's size and global presence provide ample opportunities for growth and collaboration within the team and across the organization.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Challenge 1: Designing and implementing scalable, secure, and highly available cloud-based solutions using GCP services, with a focus on infrastructure architecture and implementation.
Challenge 2: Developing full-stack applications using Python, NodeJS, and other relevant technologies, with a focus on AI solutions development.
Challenge 3: Collaborating with cross-functional teams to define, design, and ship new features and services, with a focus on driving innovation and value within the team.
Challenge 4: Staying up-to-date with emerging technologies in cloud computing and AI, and leveraging them to drive innovation and value within the team.

Learning & Development Opportunities:

Learning Opportunity 1: CI&T provides opportunities for technical growth, with a focus on emerging technologies in cloud computing and AI. The company's global presence also provides opportunities for international assignments and exposure to diverse technologies and industries.
Learning Opportunity 2: CI&T offers opportunities for leadership growth, with the potential to take on more significant projects and mentor junior team members. The company's size and structure also provide opportunities for career progression into management or architecture roles.
Learning Opportunity 3: CI&T encourages continuous learning and provides opportunities for team members to develop their skills and expertise. The company offers a wide range of training programs, workshops, and online resources to support the professional development of its team members.

📝 Enhancement Note: This role offers significant opportunities for growth and development within the team and across the organization. The company's size, global presence, and focus on innovation provide a strong foundation for career progression and technical expertise.

💡 Interview Preparation

Technical Questions:

Question 1: Describe your experience in designing and implementing scalable, secure, and highly available cloud-based solutions using GCP services. What are some of the challenges you've faced and how have you addressed them?
Question 2: Walk us through your process for developing full-stack applications using Python, NodeJS, and other relevant technologies. How do you ensure the quality, performance, and security of your applications?
Question 3: Explain your approach to AI solutions development. How do you leverage generative AI, prompt engineering, and vector databases to drive innovation and value within the team?

Company & Culture Questions:

Question 4: How do you see yourself contributing to CI&T's culture of innovation and collaboration? What specific initiatives or projects would you like to work on to drive business value and support the company's goals?
Question 5: CI&T values continuous learning and provides opportunities for team members to develop their skills and expertise. How do you plan to leverage these opportunities to grow professionally and contribute to the team's success?
Question 6: How do you approach working with cross-functional teams to define, design, and ship new features and services? What specific strategies do you use to ensure that cloud-based solutions meet the needs of the business and end-users?

Portfolio Presentation Strategy:

Strategy 1: Highlight your experience in designing and implementing scalable, secure, and highly available cloud-based solutions using GCP services. Showcase your ability to collaborate with cross-functional teams to define, design, and ship new features and services.
Strategy 2: Demonstrate your full-stack application development skills, with a focus on Python, NodeJS, and other relevant technologies. Showcase your ability to leverage AI solutions development to drive innovation and value within the team.
Strategy 3: Emphasize your ability to stay up-to-date with emerging technologies in cloud computing and AI, and leverage them to drive innovation and value within the team. Showcase your commitment to continuous learning and professional development.

📝 Enhancement Note: The interview process for this role focuses on the candidate's technical expertise in cloud computing, AI, and full-stack application development. The process also assesses the candidate's cultural fit and potential for growth and development within the company.

📌 Application Steps

To apply for this senior GCP cloud engineer position at CI&T:

Concrete Preparation Step 1: Customize your resume to highlight your experience in cloud computing, AI, and full-stack application development. Include relevant keywords and examples of your work to demonstrate your technical expertise and cultural fit for the role.
Concrete Preparation Step 2: Prepare for the technical assessment by reviewing GCP services, cloud architecture best practices, and AI solutions development. Brush up on your Python and NodeJS skills, as well as your knowledge of emerging technologies in cloud computing and AI.
Concrete Preparation Step 3: Research CI&T's company culture, values, and mission. Prepare for the cultural fit assessment by thinking about how you can contribute to the company's culture of innovation and collaboration.
Concrete Preparation Step 4: Prepare for the system design discussion by reviewing case studies and best practices for designing scalable, secure, and highly available cloud-based solutions using GCP services. Practice communicating your technical expertise and design decisions clearly and effectively.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

[Job - 23478 ] Senior GCP Cloud Engineer