Compass

DevOps Engineer

• Implement and maintain cloud infrastructure according to the team's guidelines
• Develop automations and scalable, secure solutions
• Support the configuration, maintenance and evolution of CI/CD pipelines
• Work on monitoring applications and infrastructure to ensure availability and performance
• Participate in projects to migrate workloads to the cloud
• Assist developers with integrating applications with the infrastructure

DevOps Analyst – Mid-level

Administration

• Manage corporate data administration and governance, ensuring the standardization, quality and integrity of information;
• Analyze business and technical requirements to define and evolve data models;
• Create, maintain and validate conceptual, logical and physical data models, both relational and dimensional;
• Support the definition of standards, policies and best practices for data modeling and usage;
• Use data modeling and data integration tools for documentation and maintenance of environments;
• Interact with business areas, technology teams, Application Development (AD) and DBAs to align, approve and deploy data models;
• Support data quality, metadata and data lineage initiatives;
• Ensure data models comply with defined architectures and the organization’s data strategies;
• Analyze the impact of changes to data structures and systems;
• Support integration, migration and database evolution projects;
• Develop functional and data modeling considering business needs.

Data Administrator – Mid

• Create, maintain and evolve CI/CD pipelines using GitLab (intermediate/advanced level);
• Manage code versioning with Git, supporting multiple teams and repositories;
• Provision infrastructure on AWS using Terraform;
• Create and maintain reusable Terraform modules;
• Configure and manage AWS providers;
• Manage cloud environments with a focus on security, efficiency and scalability;
• Support workloads for APIs, microservices and AI solutions;
• Implement monitoring, logging and observability best practices;
• Collaborate with Architecture and Development teams to standardize environments.

Senior DevOps Engineer

Software Engineer

• Develop and customize intelligent agents;
• Implement Agentic AI flows (planning, execution, and memory);
• Develop integrations via REST APIs;
• Use Python for orchestration, logic, and integrations;
• Integrate agents with internal and external systems;
• Tune prompts, workflows, and agent behavior;
• Collaborate with Architecture and DevOps to ensure production standards.

AI/ML Developer – Specialist

Product Analyst

• Collaborate with the Product Manager to capture initiatives originating from customers;
• Consolidate business initiatives and translate them into user stories to guide the development team;
• Assist in managing and prioritizing the product backlog;
• Support the team daily in organizing activities, meeting sprint delivery commitments, and removing blockers related to role definitions.

Junior Product Analyst

Solutions Engineer

• Definir arquiteturas AWS alinhadas às necessidades da plataforma;
• Projetar soluções baseadas em microserviços e APIs;
• Estabelecer padrões de segurança, autenticação e autorização;
• Arquitetar fluxos de identidade utilizando IDPs corporativos;
• Desenhar arquiteturas de Agentic AI, incluindo agentes, orquestração, memória e integração com sistemas internos;
• Definir o uso de gateways de agentes para controle, observabilidade e segurança;
• Avaliar trade-offs técnicos, custo e impacto operacional;
• Atuar como referência técnica para equipes de DevOps e Desenvolvimento.

Senior Solutions Architect

AI Engineer

• Design and develop a conversational agent platform capable of capturing information in natural language;
• Implement mechanisms to extract, correlate, and validate required fields, ensuring data consistency and quality;
• Generate formal structures (JSON) for integration with legacy systems and internal workflows;
• Orchestrate calls to internal APIs, ensuring reliability and traceability;
• Develop a chat interface integrated with 360i, including session management, conversation reset, text/email upload, and user feedback collection;
• Establish the technical foundation of the solution, including basic agent orchestration, short-term memory, and integration with LLMs;
• Collaborate with technical and business teams to ensure alignment with operational needs.

Senior AWS AI Engineer

• Create and manage infrastructure resources on AWS, using Infrastructure as Code (IaC) practices;
• Create, evolve, and maintain CI/CD pipelines, ensuring automation, traceability, security, and quality in deliveries;
• Participate in defining and reviewing application architecture, contributing best practices for performance, security, and scalability;
• Monitor deliveries and the operation of environments, ensuring availability, continuity, and performance;
• Investigate, propose, and implement standards and automations for continuous improvement of environments and operational efficiency;
• Act as a bridge between technical teams and business areas, participating in the investigation, understanding, and planning of new technical requirements, aligning expectations with clients and stakeholders;
• Contribute to projects involving Machine Learning operations (MLOps) in production environments.