RecargaPay

Analyst

• Support transactional reconciliation for products such as Issuing, Pix, Boletos, Bill Payments, and Sub-acquiring
• Assist in the accounting reconciliation of RecargaPay’s products
• Monitor and report outstanding items identified in daily reconciliations, escalating to the appropriate teams when necessary
• Suggest improvements to reconciliation processes
• Support the analyst team and partner areas with day-to-day activities
• Assist in documenting and updating internal processes and controls

Reconciliation Analyst I

Data Engineer

• Define the data architecture and modeling strategy for the Regulatory domain, ensuring scalability, reliability, and regulatory compliance.
• Design end-to-end domain data solutions, including transformation layers, curated datasets, and data consumption models.
• Provide technical guidance and mentorship to Data Engineers and Analytics Engineers.
• Ensure solutions align with company-wide data platform standards and collaborate closely with the Data Platform team.
• Design and implement scalable data models (conceptual, logical, and physical) using PySpark and advanced SQL.
• Build and maintain data transformation pipelines and curated datasets to support regulatory reporting and analytics.
• Work with datasets ingested and managed by the Data Platform team, transforming them into reliable regulatory data products.
• Develop batch and streaming pipelines using Spark, Airflow, Kafka, and Databricks.
• Lead complex data initiatives, driving technical design and delivery across teams.
• Produce technical specifications and architecture documentation for data solutions.
• Break down complex problems into incremental deliveries, prioritizing MVPs and quick wins with a clear evolution roadmap.
• Collaborate with engineering, product, and compliance stakeholders to translate regulatory requirements into technical solutions.
• Implement best practices for pipeline modularization, testing, CI/CD, version control, and observability.
• Promote standards for data quality, documentation, and maintainable data pipelines.

Staff Data Engineer – Regulatory

Manager

• Lead the regulatory capital and financial risk team, ensuring effectiveness and collaboration among team members;
• Serve as the focal point in strategic discussions on capital management and planning, providing insights and analysis on regulatory capital requirements and their implications for the organization;
• Lead initiatives related to financial risk reporting, covering both current and upcoming regulatory requirements;
• Ensure the accuracy and integrity of financial risk reports, providing relevant and timely information to support strategic decision-making;
• Play a strategic role in RecargaPay’s next steps, offering leadership and guidance on regulatory capital and financial risk matters;
• Collaborate with other areas of the organization to identify growth opportunities and mitigate risks associated with strategic initiatives.

Senior Manager, Capital and Liquidity

Platform Engineer

• As a Senior Platform Engineer, manage our platforms to improve business continuity, best practices and contribute to the developer experience end-to-end.
• Drive modernization and platform initiatives and steward high-leverage practices (Engineering, DevEx, SRE, DevSecOps, and AI-assisted engineering).
• Translate day-to-day developer needs into Golden Paths, opinionated tooling, and policy-backed workflows.
• Define and steer medium and long-term architectural strategies for the platform, ensuring efficiency, scalability, and reliability across all AWS environments.
• Codify architecture into practice by delivering reference implementations and Golden Path templates for high-performance builds and standardized scaffolding.
• Engineer safe delivery and reusable GitHub Actions.
• Manage and optimize Kubernetes operations using Karpenter for intelligent node provisioning.
• Make observability the default through OpenTelemetry and New Relic.
• Raise cloud and service security, operate and propose improvements related to OAuth2/JWT and secrets lifecycle management.
• Design and operate event topologies covering Kafka partitioning, compaction, retention policies, and schema evolution.
• Promote the adoption of AI-assisted practices to enhance code quality, automated refactoring, automated operations, and technical documentation.
• Drive cost-aware architecture through cloud computing best practices, scalability, and platform/service efficiency.
• Implement governance and controls that ensure the correct management of services, security, and compliance of our platforms and technologies.