📍 Job Overview

• Job Title: Pessoa Engenheira de Software Especialista - SRE
• Company: RD Station
• Location: Remoto
• Job Type: Full-time
• Category: DevOps Engineer / Site Reliability Engineer
• Date Posted: 2025-07-21
• Experience Level: Mid to Senior
• Remote Status: Remote OK

🚀 Role Summary

• 📝 Enhancement Note: This role focuses on ensuring high availability, scalability, and resilience of systems, with a strong emphasis on data solutions and AI within the GCP ecosystem.

• As a Site Reliability Engineer (SRE) Specialist, you'll be responsible for managing and maintaining our cloud infrastructure, ensuring our systems are always available and performant. You'll work closely with development, data, and product teams to implement SRE best practices and drive our platform's evolution in the areas of infrastructure, data, and APIs.

💻 Primary Responsibilities

• 📝 Enhancement Note: This role involves a mix of technical and collaborative responsibilities, requiring strong problem-solving skills and the ability to work effectively with cross-functional teams.

• 🔑 Infrastructure Management:

  • Manage and maintain our GCP cloud infrastructure and Kubernetes/Cloud Run clusters.
  • Ensure the scalability and resiliency of our systems through automation and best practices.

• 📊 Data Solutions & AI:

  • Collaborate with data teams to ensure the availability, scalability, and performance of our data solutions and AI services using GCP products like BigQuery, Dataflow, and Vertex AI.
  • Identify and address performance bottlenecks and inefficiencies in our data processing pipelines.

• 🛠 Problem Solving & Troubleshooting:

  • Identify, diagnose, and resolve issues related to system performance, availability, and functionality.
  • Participate in on-call rotations to ensure our services remain available 24/7.

• 📄 Documentation & Knowledge Sharing:

  • Create and maintain documentation for critical processes and systems.
  • Share your knowledge and expertise with the team through mentoring, workshops, and other collaborative initiatives.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• 📝 Enhancement Note: Relevant experience and continuous learning can compensate for formal education.

Experience:

• Proven experience (5-10 years) in managing cloud infrastructure, with a strong focus on GCP.
• Experience with Kubernetes and Cloud Run for application deployment and management.
• 📝 Enhancement Note: Experience with other cloud providers (AWS, Azure) can be considered, but GCP proficiency is crucial for this role.

Required Skills:

• Strong proficiency in GCP, with experience in managing and deploying applications on the platform.
• Familiarity with data solutions and AI products within the GCP ecosystem (BigQuery, Dataflow, Vertex AI).
• Experience with Kubernetes and Cloud Run for application deployment and management.
• Knowledge of SRE and DevOps practices, including automation, monitoring, and incident response.
• Proficiency in at least one programming language (e.g., Ruby, Python, Go, Bash).
• Experience with observability tools (Prometheus, Grafana, ELK stack, Datadog) for monitoring and troubleshooting.

Preferred Skills:

• Experience with infrastructure provisioning tools like Terraform.
• Familiarity with AI frameworks, agents, and tools (e.g., LLMs).
• Knowledge of data pipeline design and optimization.
• Experience with defining architecture and design documents for AI applications.
• Strong community engagement and a desire to share knowledge through mentoring, blogging, or open-source projects.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

• Demonstrate your experience with GCP, Kubernetes, and Cloud Run through relevant projects and case studies.
• Showcase your problem-solving skills and ability to optimize system performance and availability.
• Highlight your experience with data solutions and AI, including projects that involve BigQuery, Dataflow, or Vertex AI.

Technical Documentation:

• Provide examples of documentation you've created for critical processes or systems, demonstrating your ability to communicate complex technical concepts clearly and concisely.
• Include any relevant certifications or training that showcase your expertise in GCP, Kubernetes, or other relevant technologies.

💵 Compensation & Benefits

Salary Range:

• 📝 Enhancement Note: Based on regional market standards for mid to senior-level SRE roles in Brazil, the estimated salary range is R$15,000 - R$25,000 per month.

Benefits:

• Emotional Well-being: Access to mental health resources and initiatives focused on employee well-being.
• Financial Well-being: Competitive salary, stock options, and other financial benefits.
• Physical Well-being: Health and fitness benefits, including gym memberships and wellness programs.
• Occupational Well-being: Opportunities for professional growth and development, including training, workshops, and mentoring programs.
• Social Well-being: A strong company culture that fosters collaboration, diversity, and inclusion, with various social events and initiatives.

Working Hours:

• Full-time position with a standard workweek of 40 hours, with flexibility for on-call rotations and maintenance windows as needed.

🎯 Team & Company Context

🏢 Company Culture

Industry:

• RD Station operates in the marketing technology industry, focusing on providing solutions for small and medium-sized businesses.

Company Size:

• With over 1,500 employees, RD Station offers a dynamic and collaborative work environment, with ample opportunities for growth and development.

Founded:

• Founded in 2011, RD Station has since grown to become a leader in marketing automation and customer relationship management solutions in Brazil.

Team Structure:

• The engineering team at RD Station is organized into squads, each responsible for specific products or features. SREs work closely with these squads to ensure system availability, performance, and scalability.

Development Methodology:

• RD Station follows Agile development methodologies, with a focus on continuous integration, continuous deployment, and regular code reviews.

Company Website: https://www.rdstation.com/

📝 Enhancement Note: RD Station's culture emphasizes customer focus, continuous learning, and collaboration, with a strong commitment to diversity, inclusion, and employee well-being.

📈 Career & Growth Analysis

Web Technology Career Level:

• This role is at the specialist level, requiring a deep understanding of SRE principles, cloud infrastructure, and data solutions. The ideal candidate will have 5-10 years of experience in a similar role.

Reporting Structure:

• As an SRE Specialist, you'll report directly to the SRE Manager or Tech Lead, working closely with other SREs, development teams, and data teams to ensure system availability and performance.

Technical Impact:

• In this role, you'll have a significant impact on the availability, performance, and scalability of RD Station's systems, directly contributing to the company's growth and success.

Growth Opportunities:

• 📝 Enhancement Note: RD Station offers numerous growth opportunities, including technical leadership roles, architecture positions, and the chance to work on cutting-edge projects in the marketing technology space.

• 🌱 Technical Growth: Deepen your expertise in SRE practices, cloud infrastructure, and data solutions, with opportunities to work on emerging technologies and innovative projects.

• 💼 Leadership Development: Develop your leadership skills through mentoring, coaching, and team management opportunities, as you grow into more senior roles within the organization.

• 💡 Architectural Influence: Contribute to the design and architecture of RD Station's systems, helping to shape the company's technical roadmap and direction.

🌐 Work Environment

Office Type:

• RD Station offers a remote-friendly work environment, with the option to work from one of their offices in Brazil or remotely from anywhere in the world.

Office Location(s):

• RD Station has offices in São Paulo, Florianópolis, and Curitiba, Brazil. Remote work is also an option for this role.

Workspace Context:

• 💻 Workspace Setup: RD Station provides remote employees with a budget for home office equipment, ensuring you have the tools you need to work effectively.
• 💡 Collaboration & Communication: RD Station fosters a culture of collaboration and open communication, with regular team meetings, stand-ups, and one-on-ones to ensure everyone is aligned and engaged.
• 📚 Learning & Development: RD Station offers numerous opportunities for professional growth and development, including training, workshops, and mentoring programs.

Work Schedule:

• 🕒 Standard Hours: RD Station operates on a standard workweek of 40 hours, with flexible hours and remote work options available to accommodate individual needs and preferences.
• 📅 On-Call Rotations: As an SRE, you'll participate in on-call rotations to ensure our services remain available 24/7. RD Station provides compensation and support for on-call responsibilities.

📝 Enhancement Note: RD Station's work environment prioritizes flexibility, collaboration, and employee well-being, with a strong focus on creating a positive and inclusive culture that supports the growth and success of its team members.

📄 Application & Technical Interview Process

Interview Process:

• 📝 Enhancement Note: The interview process for this role will focus on assessing your technical skills, problem-solving abilities, and cultural fit with RD Station's values and work environment.

• 📌 Application Review: RD Station will review your application, focusing on your experience with GCP, Kubernetes, and data solutions, as well as your problem-solving skills and approach to system design.

• 💻 Technical Assessment: You'll be asked to complete a technical assessment, focusing on your ability to manage and optimize cloud infrastructure, as well as your understanding of data solutions and AI within the GCP ecosystem.

• 💼 Behavioral & Cultural Fit: RD Station will assess your cultural fit with the company, focusing on your alignment with the company's values and your ability to collaborate effectively with cross-functional teams.

• 💼 Final Interview & Offer: If successful, you'll be extended an offer and welcomed to the RD Station team.

Portfolio Review Tips:

• 📝 Enhancement Note: RD Station values candidates who can demonstrate their technical skills and problem-solving abilities through real-world projects and case studies.

• 💡 Project Selection: Choose projects that showcase your experience with GCP, Kubernetes, and data solutions, highlighting your ability to manage and optimize complex systems.

• 📝 Documentation & Presentation: Prepare clear and concise documentation for your projects, focusing on the challenges you faced, the solutions you implemented, and the results you achieved.

• 💬 Communication: Be prepared to discuss your projects in detail, explaining your thought process, technical decisions, and the impact of your work.

Technical Challenge Preparation:

• 📝 Enhancement Note: RD Station's technical challenges will focus on assessing your ability to manage and optimize cloud infrastructure, as well as your understanding of data solutions and AI within the GCP ecosystem.

• 💻 Technical Skills: Brush up on your knowledge of GCP, Kubernetes, and data solutions, ensuring you're familiar with the latest best practices and features.

• 💡 Problem-Solving: Practice your problem-solving skills, focusing on identifying and addressing performance bottlenecks, availability issues, and other technical challenges.

• 📝 Documentation & Communication: Prepare clear and concise documentation for your solutions, focusing on your thought process, technical decisions, and the impact of your work.

ATS Keywords:

• 📝 Enhancement Note: RD Station uses Applicant Tracking System (ATS) keywords to filter and rank candidates based on their skills and experience. Including relevant keywords in your resume and application materials can help you stand out and increase your chances of being selected for an interview.

• 🔑 Infrastructure & Cloud: GCP, Kubernetes, Cloud Run, Terraform, IaaS, PaaS, SaaS

• 📊 Data Solutions & AI: BigQuery, Dataflow, Vertex AI, AI, Machine Learning, Data Pipeline, Data Warehouse

• 🛠️ Tools & Methodologies: SRE, DevOps, Infrastructure as Code, CI/CD, Git, Agile, Scrum, Kanban

• 💻 Programming Languages: Ruby, Python, Go, Bash, Java, JavaScript

• 📝 Soft Skills: Problem-solving, Troubleshooting, Communication, Collaboration, Teamwork, Adaptability

🛠 Technology Stack & Web Infrastructure

Cloud Infrastructure:

• 🔑 GCP: RD Station's primary cloud provider, offering a wide range of managed services for compute, storage, and data processing.
• 🔑 Kubernetes: RD Station uses Kubernetes for container orchestration and deployment, ensuring the scalability and resilience of its applications.
• 🔑 Cloud Run: RD Station employs Cloud Run for serverless computing, enabling the rapid deployment and scaling of applications.

Data Solutions & AI:

• 📊 BigQuery: RD Station's primary data warehouse and analytics platform, providing fast, scalable, and cost-effective data storage and querying.
• 📊 Dataflow: RD Station uses Dataflow for stream and batch data processing, enabling the creation of complex data pipelines and workflows.
• 🧠 Vertex AI: RD Station's AI platform, offering a range of machine learning and natural language processing services for building and deploying AI models.

Observability & Monitoring:

• 📈 Prometheus: RD Station uses Prometheus for monitoring and alerting, ensuring the availability and performance of its systems.
• 📈 Grafana: RD Station employs Grafana for visualizing and analyzing metrics, logs, and traces from its systems.
• 📈 ELK Stack: RD Station uses the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation, search, and analysis.

📝 Enhancement Note: RD Station's technology stack is designed to be flexible, scalable, and resilient, enabling the company to adapt to the evolving needs of its customers and the market.

👥 Team Culture & Values

Web Development Values:

• 💡 Customer Focus: RD Station prioritizes customer success and satisfaction, ensuring its products and services meet the needs of its users.
• 📈 Data-Driven Decision Making: RD Station emphasizes data-driven decision-making, using data and analytics to inform its products, services, and business strategies.
• 💡 Continuous Learning: RD Station fosters a culture of continuous learning and improvement, encouraging its team members to stay up-to-date with the latest technologies and industry trends.
• 💡 Collaboration & Innovation: RD Station values collaboration and innovation, encouraging its team members to work together to solve complex problems and drive business growth.

Collaboration Style:

• 🤝 Cross-Functional Integration: RD Station fosters a culture of collaboration and open communication, with regular team meetings, stand-ups, and one-on-ones to ensure everyone is aligned and engaged.
• 💡 Code Review Culture: RD Station emphasizes code reviews and pair programming, ensuring high-quality code and knowledge sharing across the team.
• 💡 Knowledge Sharing & Mentoring: RD Station encourages knowledge sharing and mentoring, with regular workshops, training sessions, and one-on-one coaching opportunities.

📝 Enhancement Note: RD Station's culture is built on a foundation of customer focus, data-driven decision-making, continuous learning, and collaboration, with a strong commitment to diversity, inclusion, and employee well-being.

⚡ Challenges & Growth Opportunities

Technical Challenges:

• 📝 Enhancement Note: As an SRE Specialist at RD Station, you'll face a range of technical challenges, requiring strong problem-solving skills, adaptability, and a deep understanding of cloud infrastructure and data solutions.

• 🌐 Infrastructure Scalability & Performance: Ensure RD Station's systems can scale to meet the demands of its growing customer base, optimizing performance, availability, and cost-efficiency.

• 📊 Data Pipeline Optimization: Design and implement efficient data pipelines, ensuring data processing and analysis are performed accurately, reliably, and at scale.

• 🧠 AI Integration & Optimization: Collaborate with data and AI teams to integrate and optimize AI models and services, ensuring they perform accurately and efficiently within RD Station's systems.

• 🛠️ Infrastructure as Code & Automation: Implement infrastructure as code (IaC) and automation practices to ensure consistent, scalable, and reliable system deployments.

Learning & Development Opportunities:

• 📝 Enhancement Note: RD Station offers numerous opportunities for professional growth and development, with a strong focus on technical skill development, leadership, and architecture.

• 💡 Technical Skill Development: Deepen your expertise in cloud infrastructure, data solutions, and AI, with opportunities to work on cutting-edge projects and emerging technologies.

• 💡 Leadership & Mentoring: Develop your leadership and mentoring skills, with opportunities to guide and support other team members, as well as contribute to RD Station's technical roadmap and direction.

• 💡 Architecture & Design: Contribute to the design and architecture of RD Station's systems, helping to shape the company's technical roadmap and direction.

📝 Enhancement Note: RD Station's technical challenges and growth opportunities are designed to push the boundaries of what's possible, driving innovation, and enabling the company to maintain its competitive edge in the marketing technology space.

💡 Interview Preparation

Technical Questions:

• 📝 Enhancement Note: RD Station's technical interview questions will focus on assessing your knowledge of cloud infrastructure, data solutions, and AI, as well as your problem-solving skills and approach to system design.

• 🔑 Cloud Infrastructure & Management:

  • Describe your experience with GCP, Kubernetes, and Cloud Run, highlighting your ability to manage and optimize cloud infrastructure.
  • How have you approached scaling and performance optimization in your previous roles?
  • Can you walk us through a complex infrastructure challenge you've faced and how you addressed it?

• 📊 Data Solutions & AI:

  • Explain your experience with data solutions and AI within the GCP ecosystem, focusing on BigQuery, Dataflow, and Vertex AI.
  • How have you designed and implemented efficient data pipelines and workflows in your previous roles?
  • Can you discuss a challenging AI integration or optimization project you've worked on and the outcomes you achieved?

• 🛠️ Problem-Solving & System Design:

  • Describe your approach to problem-solving, focusing on your ability to identify, diagnose, and resolve technical challenges.
  • Can you walk us through a complex system design challenge you've faced and how you addressed it?

Company & Culture Questions:

• 📝 Enhancement Note: RD Station's company and culture questions will focus on assessing your alignment with the company's values, as well as your ability to collaborate effectively with cross-functional teams.

• 💡 Company & Industry Knowledge:

  • What do you know about RD Station and its products, and how do you think you can contribute to our success?
  • How do you stay up-to-date with the latest trends and innovations in the marketing technology industry?

• 💡 Collaboration & Teamwork:

  • Describe your experience working in a collaborative, cross-functional team environment.
  • How do you approach conflict resolution and consensus-building in a team setting?

• 💡 Customer Focus & Problem-Solving:

  • How do you ensure that your work aligns with the needs and expectations of your customers or users?
  • Can you describe a time when you went above and beyond to solve a customer problem or address a user need?

Portfolio Presentation Strategy:

• 📝 Enhancement Note: RD Station values candidates who can demonstrate their technical skills and problem-solving abilities through real-world projects and case studies.

• 💡 Project Selection: Choose projects that showcase your experience with GCP, Kubernetes, and data solutions, highlighting your ability to manage and optimize complex systems.

• 📝 Documentation & Communication: Prepare clear and concise documentation for your projects, focusing on the challenges you faced, the solutions you implemented, and the results you achieved.

• 💬 Communication: Be prepared to discuss your projects in detail, explaining your thought process, technical decisions, and the impact of your work.

📝 Enhancement Note: RD Station's interview process is designed to assess your technical skills, problem-solving abilities, and cultural fit with the company, ensuring you're well-prepared to succeed in the role and contribute to the company's growth and success.

📌 Application Steps

To apply for this Site Reliability Engineer (SRE) Specialist role at RD Station:

1. 📝 Enhancement Note: Tailor your resume and application materials to highlight your experience with GCP, Kubernetes, and data solutions, as well as your problem-solving skills and approach to system design.
2. 📝 Enhancement Note: Prepare a portfolio of relevant projects and case studies, demonstrating your ability to manage and optimize complex systems.
3. 📝 Enhancement Note: Research RD Station's products, company culture, and values, and be prepared to discuss your alignment with the company's mission and goals.
4. 📝 Enhancement Note: Practice your problem-solving skills and approach to system design, focusing on your ability to identify, diagnose, and resolve technical challenges.
5. 📝 Enhancement Note: Prepare for the interview process by reviewing RD Station's technical and company-specific questions, as well as the portfolio presentation strategy outlined above.

By following these application steps and preparing thoroughly for the interview process, you'll be well-equipped to succeed in your pursuit of the Site Reliability Engineer (SRE) Specialist role at RD Station. Good luck!