Compass

Backend Engineer

• Diagnose and fix defects (levels 2 and 3) in applications based on SAP Hybris;
• Implement back-end improvements and enhancements, ensuring performance and stability;
• Develop and maintain integrations with REST and SOAP APIs;
• Work with microservices, messaging systems and integrations with third‑party systems;
• Analyze logs and perform troubleshooting to identify root causes;
• Follow and apply development, architecture and security best practices;
• Collaborate with front-end, QA and operations teams to deliver solutions;
• Participate in code reviews and provide technical support to other developers.

Junior SAP Hybris Back-End Developer

Support Engineer

• Monitoramento e sustentação de ambientes;
• Atendimento de clientes no modelo compartilhado, 24x7, para monitoramento e sustentação de ambientes.
• Atendimentos de chamados;
• Gerar relatórios;

Support Analyst – Level 1

Data Engineer

• Contribute to a data platform migration and modernization project;
• Map, analyze, and understand existing notebooks and jobs in Databricks (Azure);
• Define and execute migration waves for workloads to AWS EMR (EC2 and/or Serverless);
• Implement and maintain orchestration of pipelines and jobs using Apache Airflow (MWAA);
• Build and maintain CI/CD pipelines for deployment, versioning, and automation;
• Structure and organize the data catalog, metadata, and access governance using AWS Lake Formation;
• Ensure pipeline observability by integrating logs and metrics with Grafana;
• Structure data in Landing, Silver, and Gold layers using Hudi and Iceberg, ensuring adherence to the current model in ADLS;
• Participate in acceptance testing, change management processes, and production deployments;
• Promote best practices and conduct knowledge transfer to the involved teams.

AWS Data Engineer – Mid

Cloud Engineer

• Conduct assessments of current environments, including discovery, workload analysis and technical recommendations;
• Design AWS architectures and create technical diagrams, migration plans and detailed schedules;
• Define migration strategies considering security, performance, scalability and cost optimization;
• Support and execute migration delivery activities, ensuring adherence to the defined architecture and best practices;
• Use migration and discovery tools such as RV Tools, AWS Migration Evaluator and AWS Application Migration Service;
• Implement monitoring and post-migration performance optimization practices (CloudWatch, Dynatrace or similar);
• Ensure compliance with AWS best practices and corporate standards;
• Engage with stakeholders and present technical reports and migration status.

AWS Cloud Migration Specialist

• Provide technical leadership (hands-on) for delivering the functional pipeline for three priority workloads;
• Ensure alignment with the MDIC/Proserv reference architecture and with dependencies between services;
• Design and implement data modeling in the final layer (BI Serving Layer / Gold) using a dimensional approach for consumption in Redshift;
• Define and implement standards for quality, traceability, and governance, including versioning via metadata in Glue Data Catalog and access policies via Lake Formation (row/column-level, where applicable);
• Deliver with disciplined execution (short PoC) and strong troubleshooting ability in AWS environments.

Senior Data Engineer, Apache Airflow – MWAA

• Define and evolve microservices architecture and cloud-native solutions;
• Design event-driven architectures using Pub/Sub;
• Define integration patterns and the use of LLMs, intelligent agents, and MCP (Model Context Protocol);
• Design the MCP Gateway architecture for secure integration between agents and external systems;
• Ensure scalability, resilience, security, and observability of the solutions;
• Provide technical support to development and product teams, acting as a technical reference.

AI & Cloud Architecture – Tech Lead

Data Analyst

• Support the operation and daily monitoring of a new insurance vertical, ensuring execution, operational control, data analysis, and support for project governance;
• Support the operation by monitoring activations, SLAs, and service status;
• Interface with operational partners (e.g., tow providers), monitoring sales, activations, service, failures, and deviations;
• Support incident and exception management (delays, cancellations, complaints);
• Ensure updates to operational information and internal workflows;
• Update and monitor KPI dashboards (SLA, NPS, conversion, costs);
• Consolidate operational and commercial data for weekly and biweekly reports;
• Support simple performance analyses (e.g., landing page conversion, call volume, average ticket);
• Support operational tests and MVP validations;
• Support the organization of project rituals (committees, meetings, minutes, follow-ups);
• Monitor roadmap deliveries and support deadline tracking;
• Organize project documentation (processes, flows, lessons learned);
• Assist in the preparation of materials;

Junior Data Analyst

• Create data pipelines to ingest data using Airflow and Spark;
• Implement access controls and auditing to protect sensitive data and ensure regulatory compliance;
• Migrate and integrate existing data into the new platform, ensuring operational continuity and data integrity;
• Performance tuning: Ability to optimize data pipeline performance by tuning parameters and properly configuring resources;
• Monitoring and debugging: Ability to monitor and debug pipelines to identify and resolve bottlenecks and performance issues;

Senior Scala Data Engineer

Security Analyst

• Monitor, analyze, and respond to information security incidents;
• Identify, assess, and remediate vulnerabilities in systems, applications, and infrastructure;
• Participate in incident management and support the development of response plans;
• Conduct periodic security tests, analyses, and audits;
• Develop and maintain information security policies, standards, and procedures;
• Produce technical reports on risks, threats, and incidents;
• Monitor compliance with standards and regulations (ISO, NIST, LGPD);
• Promote internal awareness of information security best practices;
• Support security initiatives in cloud, AI, and Agentic AI environments.

Senior Information Security Analyst

• Implement a comprehensive Agentic AI program focused on customer service, integrating platform architecture, agent engineering, governance, and organizational adoption so the client can operate their service agents at scale in a secure, standardized, and value-driven way.
• Build a hybrid cloud architecture using Oracle and GCP services, as well as market-standard frameworks such as LangChain, MCP Server, and LangFuse.
• Oversee both the technical foundation and the necessary governance, enablement, and results-management mechanisms—specifically for the Customer Service Agents stream.
• Develop and maintain data pipelines for performance analysis of conversational agents and customer service systems;
• Define, monitor, and evolve service and LLM metrics (SLA, CSAT, latency, token usage, quality score, hallucination rate);
• Operationalize collection, governance, and observability in BigQuery, build dashboards in Looker, and integrate AI data into business systems;

Data Analyst – Junior

• Implement a comprehensive Agentic AI program focused on customer service, integrating platform architecture, agent engineering, governance and organizational adoption so the client can operate service agents at scale in a secure, standardized and value-driven way.
• Build a hybrid cloud architecture using Oracle and GCP services as well as market-standard frameworks such as LangChain, MCP Server and LangFuse.
• Provide oversight of both the technical foundation and the governance, enablement and results-management mechanisms required—specifically for the Customer Service Agents area.
• Develop and maintain data pipelines for performance analysis of conversational agents and service systems;
• Define, monitor and evolve service and LLM metrics (SLA, CSAT, latency, token usage, quality score, hallucination rate);
• Operationalize data collection, governance and observability in BigQuery, build dashboards in Looker and integrate AI data into business systems;

Software Engineer

• Develop and evolve Python back-end services for conversational agents and AI-based customer service systems;
• Design, implement, and maintain microservices architectures, ensuring scalability, resilience, and observability;
• Integrate conversational agents with business systems, internal APIs, and external services;
• Implement orchestration and communication flows between agents, services, and platform components;
• Model, store, and operate data in NoSQL databases, ensuring performance and consistency;
• Contribute to technical standardization and reuse of agent components at enterprise scale;
• Support the definition of development best practices, versioning, and lifecycle management for AI agents;
• Collaborate with architecture, data, and business teams to ensure technical and functional alignment;
• Support governance of customer service agents, including monitoring, traceability, and quality control.

GCP/Oracle AI/ML Developer – Mid

• Desenvolver e evoluir serviços back-end em Python voltados à construção de agentes conversacionais e agentes de atendimento baseados em IA/GenAI;
• Projetar, implementar e manter arquiteturas de microsserviços, garantindo escalabilidade, resiliência e fácil manutenção;
• Integrar agentes de IA com sistemas de negócio, APIs internas e externas, assegurando padrões de integração e governança;
• Implementar fluxos de comunicação entre agentes, serviços e plataformas de atendimento em escala enterprise;
• Modelar, armazenar e operar dados em bancos NoSQL, garantindo performance e confiabilidade;
• Colaborar com times de arquitetura, dados e negócio na definição de soluções técnicas para Agentic AI;
• Apoiar a implementação de padrões de governança, observabilidade e boas práticas no ciclo de vida dos agentes;
• Contribuir para a padronização e reutilização de componentes de IA, reduzindo fragmentação tecnológica;
• Documentar soluções técnicas, fluxos de agentes, integrações e decisões arquiteturais;
• Atuar de forma colaborativa em ambientes ágeis, participando de rituais técnicos e de alinhamento.

Junior GCP/Oracle AI/ML Developer

DevOps Engineer

• Monitor and triage vulnerabilities identified in CI/CD pipelines and security tools across GCP environments;
• Engage with squads from project inception to anticipate risks and advise on secure development best practices;
• Centralize and translate technical security requests into practical, prioritizable backlog actions;
• Manage requests for external assessments, official penetration tests, and compliance requirements;
• Execute continuous offensive testing to validate fixes and new features;
• Lead the weekly Security agenda, tracking the roadmap and aligning with stakeholders;
• Support manual and automated security assessments;
• Maintain up-to-date technical documentation, guides, and remediation instructions.

Senior DevSecOps Security Engineer

• Identify, plan, and implement improvements in non-production environments.
• Propose and implement technical and process improvements that add business value.
• Work on environment automation to promote operational efficiency.
• Enable and evolve the environment with a focus on standardization and DevOps best practices.
• Maintain a proactive attitude toward learning and experimenting with new technologies.