Compass

QA Engineer

• Provide direct support to QA leadership, contributing to the acceleration of the quality maturity plan across squads;
• Conduct one-on-one sessions with QA professionals to assess team maturity levels, reinforcing processes and best practices;
• Support adoption of quality pillars, respecting the context and particularities of each squad;
• Monitor and verify adherence to the quality artifacts defined for each pillar;
• Contribute to the creation and evolution of quality templates and playbooks;
• Participate in and support recurring presentations and alignment sessions, ensuring the plan progresses within established deadlines;
• Work collaboratively with different areas/directorates to promote alignment and disseminate a quality-driven culture;
• Promote a culture of quality and continuous improvement within technical teams.

QA Analyst – Mid/Senior

Data Engineer

• Integration and ingestion of new data into the Data Lake and improvement of existing pipelines;
• Responsible for understanding the needs of client teams;
• Defining solutions within the client's processes and tools;
• Negotiating priorities and deadlines and managing assigned activities (schedule and quality).

AWS Data Engineer

Solutions Engineer

• Define, propose and evolve the solution architecture within the ecosystem, ensuring scalability, security, and adherence to software engineering best practices;
• Assess, in the context of each client, the technical solution that best meets the presented requirements, always aligned with business needs;
• Integrate the client's internal and external systems, promoting efficient, secure and scalable communication between different platforms;
• Balance business priorities, company strategy and engineering best practices when defining the architecture;
• Provide technical leadership to the squad (Front-end and Back-end), supporting the team in resolving technical impediments;
• Conduct rigorous code reviews, ensuring quality standards and Clean Code principles;
• Act as a bridge between technical and executive areas, ensuring clear communication and alignment among stakeholders.

Solution Architect

Scrum Master

• Act as an Agile Coach within the CoE (Center of Excellence), supporting multiple teams and stakeholders;
• Promote the evolution of agile maturity (Scrum, Kanban, Lean, among others);
• Implement and disseminate Growth Hacking practices within the agile context;
• Support squads in defining and tracking growth metrics (acquisition, activation, retention, revenue, among others);
• Facilitate ceremonies, team activities and strategic workshops;
• Lead continuous improvement initiatives based on data and experimentation;
• Support leadership in value-, impact- and outcome-oriented decision-making;
• Foster a culture of continuous learning, innovation and a data-driven mindset;
• Identify and act to remove organizational impediments that affect team performance;
• Contribute to the creation and evolution of playbooks, frameworks and best practices for agility and growth.

Senior Agile Coach

Backend Engineer

• Always strive to create the best user experience for the end user, working collaboratively with developers, designers and stakeholders to ensure project success;
• Actively participate in solving complex problems, identifying improvement opportunities and proposing innovative solutions;
• Write clean, testable, and maintainable code following software development best practices;
• Actively participate in the code review process, both as reviewer and author, ensuring the quality and functionality of developed features;
• Monitor application behavior in production using key health and performance metrics available in monitoring tools, deriving improvement insights and investigating anomalies;
• Work on the backend that serves as the data consumption interface for all Globoplay front-ends, ensuring resilience and support for high concurrent loads;
• Contribute to the application responsible for delivering the product's web site, using the environment as a field for experimentation and learning about user behavior.

Senior Node.js Developer

Artificial Intelligence

• Active participation in training programs such as the Fellowship Program
• Create and maintain learning paths in Data, Analytics, and AI
• Organize knowledge-sharing initiatives (chapters, webinars, internal talks)
• Support mentors and facilitators in preparing content and sessions
• Support participant selection and monitoring in training programs
• Organize ceremonies and key events (kick-offs, closing sessions)

Learning & Enablement Lead – Data & AI

• Design and implement scalable data pipelines (ETL/ELT);
• Lead the migration from Azure to AWS;
• Work with Lakehouse architectures (Delta Lake / Iceberg);
• Integrate tools such as ADF, Synapse, Glue, and Databricks;
• Ensure data governance, quality, and orchestration;
• Support solutions that underpin Machine Learning models.

Senior Data Architect

DevOps Engineer

• Support the implementation, administration and evolution of AWS cloud environments, ensuring stability and high availability;
• Operate and manage production environments, performing monitoring, troubleshooting and continuous improvements;
• Implement and maintain infrastructure as code (IaC) and automations for provisioning and configuring resources;
• Support application modernization and cloud migration initiatives;
• Collaborate with architecture, engineering, security and development teams to ensure technical alignment;
• Ensure environments are secure, scalable, resilient and cost-efficient;
• Contribute to the evolution of cloud architecture and platform by proposing improvements and best practices;
• Implement and maintain CI/CD pipelines, contributing to deployment and process automation;
• Monitor environments and services, conducting incident and performance analysis;
• Support the implementation of cloud governance, security and compliance practices;
• Help promote DevOps best practices and a cloud-first culture within the team.

AWS DevOps – Mid

Robotics

• Design, develop, and maintain robust automation solutions using Python, ensuring scalability, efficiency and reliability of processes;
• Develop an RPA capable of executing the end-to-end sales and product input process, automating manual steps and increasing operational scale;
• Model automation solutions considering integrations with legacy systems, APIs, and existing workflows;
• Take a leading role in identifying continuous improvement and process automation opportunities;
• Implement and support robots in production, including orchestration, monitoring, and operational support;
• Diagnose and resolve critical technical and operational incidents, ensuring continuity and stability of automations;
• Build integrations between systems using REST APIs, ensuring efficient communication between platforms;
• Handle files (Excel, CSV, PDFs) and automate interactions with web and desktop applications;
• Apply development best practices, including clean code, exception handling, logging, version control, and testing;
• Participate in defining technical standards, governance, and the evolution of the automation ecosystem;
• Support technical feasibility analysis of new automations in collaboration with business areas;
• Serve as a technical reference, supporting the team with mentorship, training, and knowledge sharing;
• Collaborate with business and IT teams, ensuring clear communication and alignment of developed solutions.

Senior RPA Developer

• Continuously monitor the production environment, tracking ticket queues and alerts via management tools;
• Analyze and respond to Level 1 incidents, ensuring rapid identification and initial remediation of issues;
• Execute operational procedures such as service restarts and environment recovery actions;
• Perform log and metric analysis using observability tools to diagnose failures;
• Act proactively to detect incidents and service degradation;
• Set up and lead war rooms, coordinating communication and actions to resolve critical incidents;
• Escalate incidents to internal teams and vendors when necessary;
• Track and ensure follow-up on incidents, keeping stakeholders updated, including executive levels;
• Support the stability and availability of microservices-based applications and distributed environments;
• Collaborate with development and operations teams to resolve problems and drive continuous improvement of the environment;
• Contribute to the evolution of SRE practices and the DevOps culture in day-to-day operations.

SRE Analyst – Mid

Business Analyst

• Elicit and analyze current customer service processes (AS IS), identifying gaps and opportunities for improvement;
• Define the future model (TO BE), proposing improvements focused on efficiency, automation and customer experience;
• Translate business requests into functional and technical requirements for IT and Data teams;
• Design service flows for channels such as chatbots, virtual assistants and IVR;
• Support solution and architecture definition, including integrations via APIs and internal systems;
• Monitor development and implementation together with technical teams and vendors;
• Manage technical relationships with partners and Customer Service platforms;
• Produce technical documentation and management artifacts, ensuring organization and traceability of deliverables;
• Facilitate alignment among stakeholders, ensuring solutions meet business needs.

Senior CX Technical Business Analyst

Product Manager

• Define product direction and market positioning;
• Identify user needs and behaviors through research;
• Prioritize features and organize deliveries, balancing value, effort and risk;
• Facilitate alignment between technical, design and business teams;
• Monitor KPIs and metrics to inform decision-making;
• Translate business needs into clear, feasible requirements;
• Work with agile methodologies, promoting continuous improvement;
• Align expectations and negotiate priorities with stakeholders.

Senior Product Manager

• Design solutions using AWS services for generative AI, such as Amazon Bedrock and Amazon SageMaker.
• Define agent orchestration standards, integration with APIs and enterprise workflows.
• Develop and implement AI Agents capable of executing tasks, queries, and complex automations.

AWS AI/ML Architect

• Executar atividades de verificação e validação de software, com foco em testes funcionais, manuais e automatizados;
• Desenvolver, manter e executar automações de testes utilizando boas práticas e técnicas consolidadas de mercado;
• Realizar validações em pacotes finais provenientes de integrações, branches e merges de desenvolvimento;
• Apoiar processos de homologação de versões e ambientes internos;
• Atuar de forma colaborativa com o time de desenvolvimento ao longo das Sprints, garantindo a qualidade das entregas;
• Apoiar atividades relacionadas à integração contínua e pipelines de CI/CD;
• Gerenciar as próprias demandas, comunicando riscos, impedimentos ou atrasos de forma proativa à equipe.

QA Test Automation, Mid

People Operations

• Support and execute employee-focused recognition and engagement programs.
• Provide support to employees, addressing questions and requests related to the employee experience.
• Conduct onboarding and integration sessions for new hires.
• Assist in organizing and executing People Experience initiatives and programs, especially those related to engagement and recognition.
• Work collaboratively with various People teams to ensure alignment and consistency across initiatives.
• Support the operational implementation of actions and improvements across the employee journey.