Rox Partner

Backend Engineer

• Develop, maintain and evolve backend applications using Python, ensuring high performance, scalability, and security.
• Design and implement robust APIs, following best practices for versioning, authentication, and documentation.
• Participate in defining and implementing microservices-based architectures.
• Work with API Gateways (especially Apigee), configuring proxies, policies, authentication, security, and monitoring.
• Integrate internal and external systems via APIs and messaging.
• Ensure code quality through automated tests and code reviews.
• Analyze and resolve issues by identifying root causes and proposing continuous improvements.
• Collaborate with cross-functional teams (frontend, DevOps, architecture, and product).
• Participate in architectural decisions and define technical best practices.
• Contribute to improving CI/CD pipelines and deployment processes.

Senior Backend Developer, Python

Artificial Intelligence

• Design, implement, and deploy complex AI agents and chatbots focused on process automation and operational support (AIOps).
• Build and maintain robust pipelines for the AI lifecycle, from data ingestion and fine-tuning to production performance monitoring.
• Develop workflows using orchestration frameworks and ensure response quality through rigorous evaluation processes and model sanity tests.
• Collaborate with infrastructure and data teams to ensure AI agents are integrated scalably with legacy systems and APIs.
• Monitor resource consumption on Vertex AI, balancing latency, accuracy, and operational cost.

Senior AI Ops Engineer

Engineer

• Lead the development of scalable, robust analytical models using DBT.
• Ensure the implementation of modeling standards (dimensional/relational) and best practices.
• Create, test, and document transformations to maintain data quality, reliability, and traceability.
• Develop and maintain complex data pipelines using Airflow, applying versioning, modularity, and observability.
• Integrate different data sources and ensure efficient, resilient, and monitorable processes.
• Optimize queries, schemas, and costs for data projects in BigQuery, applying advanced performance-tuning practices.
• Ensure governance, security, partitioning/clustering, and versioning of datasets.
• Work closely with Data Analysts and Data Scientists to enable the consumption of reliable, well-documented datasets.
• Evangelize technical standards, best transformation practices, and governance across the organization.
• Build and support dashboards and analytical products using the Looker Platform, connecting optimized and semantically structured datasets.
• Collaborate with Engineering, Product, Business, and Data Governance teams to ensure data integration, consistency, and quality.
• Participate in defining modern data architecture, proposing improvements and innovative solutions.

Senior Analytics Engineer – DBT

Data Engineer

• Design, deploy, and manage multi-cloud architectures with a focus on AWS, GCP, and Azure.
• Collaborate with development, operations, and security teams to optimize applications and workloads.
• Monitor and maintain the performance, availability, and integrity of cloud services.
• Automate tasks and processes using Infrastructure as Code (IaC) tools (Terraform, CloudFormation, ARM/Bicep, Deployment Manager).
• Implement security and compliance practices (IAM, encryption, hardening, ISO 27001, LGPD - Brazilian General Data Protection Law).
• Manage containers and orchestration (Docker, Kubernetes – EKS, GKE, AKS).
• Support incident response and troubleshooting in distributed environments, ensuring a fast and effective reaction.
• Optimize cloud costs by tracking billing and implementing FinOps strategies.
• Document architectures, processes, and incidents, ensuring clear communication with stakeholders.

Mid-Level Data Engineer

Security Engineer

• Lead the company's Information Security and Cybersecurity strategy.
• Maintain and evolve the ISMS in accordance with ISO/IEC 27001.
• Act as the Data Protection Officer (DPO) before the ANPD, ensuring compliance with the LGPD.
• Define, review and ensure adherence to security and privacy policies.
• Plan and conduct internal audits and support external audits.
• Design, operate and evolve the SOC (internal or outsourced).
• Define and execute monitoring, vulnerability management and incident response processes.
• Act directly on critical incidents (log analysis, containment, eradication and recovery).
• Manage security tools such as SIEM, EDR/XDR, Firewall, WAF, IAM, DLP and CASB.
• Conduct DPIA/RIPD and manage privacy incidents.
• Serve as the technical and executive interface with clients, partners, auditors and regulatory bodies.

DPO, CISO – Information Security and Privacy

• Define, maintain and evolve the architecture of web, mobile and backend applications, ensuring scalability, security, performance and resilience.
• Provide technical leadership for frontend development in React.js, establishing component architecture standards, state management and performance best practices.
• Develop and review backend solutions in Node.js, including RESTful and GraphQL APIs, authentication, authorization and security.
• Provide technical support for mobile development, preferably in React Native, ensuring architectural consistency with the web stack.
• Define integration standards between systems, services and microservices, considering event-driven architectures where applicable.
• Design, review and validate data models in relational and non-relational databases such as PostgreSQL and MongoDB.
• Ensure the performance, integrity and scalability of queries and data structures.
• Collaborate with technology teams to define and maintain cloud infrastructure in environments such as AWS, Google Cloud or Azure.
• Ensure adoption of CI/CD practices, deployment automation, versioning and the use of containers such as Docker and Kubernetes.
• Monitor operational indicators, application monitoring, logs and availability, ensuring stability and rapid incident response.
• Promote and ensure a culture of automated testing, including unit, integration and end-to-end tests.
• Define and enforce code quality standards, technical reviews and software engineering best practices.
• Support strategic technical decisions by evaluating risks, impacts and solution sustainability.
• Act as a technical reference and mentor for the development team, promoting technical growth, knowledge sharing and best practices.
• Collaborate with Product Managers, Designers and other stakeholders to deliver solutions aligned with business needs.
• Support the technical and professional development of the team through structured feedback and continuous guidance.
• Work in agile environments using methodologies such as Scrum or Kanban for planning, organizing work and delivering continuous value.
• Contribute to technical planning, prioritization of tasks and definition of the technology roadmap.
• Identify, analyze and resolve complex technical issues, critical bugs and performance bottlenecks.
• Make decisive technical decisions, balancing quality, schedule, cost and business impact.

Tech Lead – Software Engineering, Node.js, React

• Design and deploy robust, scalable, and efficient cloud-based data architectures, specializing in data warehousing, data lakes, and real-time (or near real-time) data pipelines on GCP (with familiarity with AWS and Azure).
• Define and enforce architectural standards for data modeling (e.g., Medallion/Lakehouse), data governance, and data quality across multiple domains.
• Apply advanced architectural concepts such as Data Mesh, microservices, Event-Driven Architecture, and Complex Event Processing in modern data systems.
• Lead the development and implementation of batch and streaming data pipelines using core GCP services like BigQuery, Dataflow, Pub/Sub, and potentially Dataproc.
• Use and mentor the team in orchestration tools such as Airflow (Composer) for workflow management.
• Implement data transformation logic using tools like Dataform and advanced SQL, ensuring data quality and enrichment from raw to curated layers.
• Manage and utilize a variety of data storage technologies, including BigQuery, Cloud Storage, Spark, Snowflake, and NoSQL/distributed databases such as Cassandra, HBase, and Elasticsearch.
• Act as the primary technical lead and subject-matter expert for the data engineering team, guiding development practices and design decisions.
• Oversee the entire project delivery lifecycle (planning, design, development, operation), translating business requirements into technical designs.
• Drive the modernization of legacy data platforms to a multi-cloud, scalable, and automated architecture, focusing on performance, cost reduction, and regulatory compliance.

Data Engineering Specialist

Risk

• Implement and maintain access policies (IAM), catalog tags, and security rules using Terraform or Python scripts.
• Actively work in Git environments, responsible for opening and reviewing Pull Requests (PRs) related to schema definitions, metadata, and data infrastructure.
• Develop Python scripts for automated data quality monitoring and alerting.
• Write complex SQL queries in BigQuery for data auditing, business rule validation, and identification of inconsistencies.
• Map data lineage not only visually but also ensure technical dependencies are documented within pipelines (Dataform, Airflow, or dbt).
• Configure and test row- and column-level security via DDL and scripts.

Senior Data Governance Engineer

• Desenvolver e implementar frameworks de governança de dados utilizando ferramentas nativas do GCP (Dataplex, Data Catalog).
• Garantir a conformidade com a LGPD, implementando mascaramento de dados (Data Masking), controle de acesso (IAM) e linhagem de dados para informações sensíveis de alunos.
• Estruturar o catálogo de dados corporativo para facilitar a descoberta de informações por analistas e cientistas de dados.
• Implementar processos automatizados de monitoramento de qualidade (DQ) nos pipelines de dados (BigQuery).
• Mapear o fluxo dos dados desde os sistemas de origem (LMS, ERPs acadêmicos) até as camadas de consumo e dashboards.
• Atuar como ponte entre as áreas de negócio (Acadêmico/Marketing) e o time técnico, definindo dicionários de dados e regras de negócio.

Analista de Governança de Dados, Sênior

Data Analyst

• Create complex, intuitive visualizations to monitor metrics such as attrition (academic churn), student acquisition, profitability by course, and LMS engagement.
• Develop efficient data models in Power BI, ensuring the integrity of relationships between tables (Facts and Dimensions) in a star schema.
• Master DAX functions for comparative time analyses and advanced business metrics.
• Implement and manage RLS (Row-Level Security) to ensure coordinators and directors only see data for their respective units/courses.
• Connect Power BI to Google BigQuery with high performance, optimizing queries to avoid excessive processing costs.
• Empower business users to consume data independently, ensuring a single "version of the truth".

Senior Data Analyst – Power BI

Business Development Rep

• Conduct active prospecting via social selling (LinkedIn), email, cold calling and other digital channels.
• Apply qualification methodologies (such as BANT or GPCT) to ensure opportunities passed to closers have a real fit with ROX's model.
• Identify companies with potential demand for IT outsourcing and find decision-makers (CTOs, VPs of Engineering, IT Managers and HR Tech leaders).
• Keep the CRM (HubSpot, Salesforce or similar) rigorously updated with interaction history and the status of each lead.
• Work closely with the marketing team and account executives to adjust sales messaging based on market feedback.
• Convert qualified leads into strategic meetings for the closing team.

BDR, Business Development Representative

• Develop, maintain and evolve scalable, high-performance data pipelines using modern analytics engineering tools, with a strong focus on DBT.
• Design and implement robust, reusable and well-documented data models, built on modern architectures in Google Cloud Platform (GCP), including BigQuery, Cloud Storage, Dataflow, among others.
• Automate processes for data ingestion, transformation and delivery, ensuring efficiency and reliability across the entire data lifecycle.
• Ensure data quality, consistency, security and integrity by applying engineering best practices, automated testing and validations.
• Collaborate with software engineers, data analysts and data scientists to support data-driven decision making.
• Create and maintain clear, up-to-date technical documentation, including versioning standards, data tests, linters and DBT best practices.
• Monitor pipelines and data flows, proactively identifying, analyzing and resolving failures with a focus on observability and logging.
• Contribute to data governance initiatives, supporting cataloging, metadata and the use of tools such as Data Catalog.

Data Engineer – Mid-level

Analyst

• Lead the monitoring strategy using Grafana, Kibana and GCP, ensuring dashboards accurately reflect service health and that alerts are predictive and effective.
• Diagnose failures in distributed systems by analyzing REST communications and data flows between microservices.
• Perform complex queries and interventions in PostgreSQL, and support the engineering team in identifying performance bottlenecks.
• Develop scripts and tools (Python/Bash) to eliminate manual tasks and leverage AI strategically to accelerate incident diagnosis.
• Conduct root cause analysis (RCA) and ensure application of ITIL and Agile best practices.

Support Analyst – Mid-level

Support Engineer

• Provide on-site support to end users at the client's location, logging and handling first-level (L1) tickets
• Support hardware and software: installation, basic configuration, updates and troubleshooting of workstations, laptops, printers and peripherals
• Assist in setting up user accounts (email, system access, network, printers) according to defined procedures
• Record all service interactions in the ticketing/ITSM tool, keeping histories up to date and organized
• Classify, prioritize and escalate tickets to higher levels (L2/L3) when necessary, following the agreed client workflow
• Assist with preventative maintenance activities (equipment checks, logical cleaning, basic software updates, etc.)
• Support equipment inventory, IT asset control and hardware movement within the client's environment
• Strictly follow procedures, information security policies and the internal rules of the client and Rox
• Assist users with basic guidance on operating systems, Office suite and main corporate applications
• Report any critical incident, risk or anomaly identified in the client's environment to the immediate supervisor

Junior Support Analyst

People Operations

• Support tasks of the Personnel Department (DP)
• Provide support throughout the onboarding/admission process for new Roxperts
• Communicate with employees
• Assist in drafting contracts and termination agreements (distratos)
• Monitor processes related to benefits administration
• Assist in payroll preparation, including payroll for service providers (PJ) and cooperatives
• Assist in internal marketing (Endomarketing) and Internal Communication processes.