Systems Engineer

About the role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Systems Engineer based in Brazil.

We are seeking an experienced Systems Engineer to design, build, and optimize the systems architecture connecting core business platforms, data infrastructure, and customer-facing services. This role combines systems engineering, data engineering, backend development, and business systems integration. You will take ownership of critical integrations, data pipelines, and subscription-based access infrastructure, ensuring reliable and consistent data flows across the organization. Working with technologies such as Python, SQL, Snowflake, AWS, and Stripe, you will help strengthen the technical foundation supporting business operations and decision-making. This is an opportunity to make independent technical decisions, collaborate with cross-functional teams, and develop scalable solutions in a growing, remote-first environment.

Accountabilities You will oversee the design, implementation, and continuous improvement of business systems and data infrastructure, ensuring seamless integrations and reliable technical operations.

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Evaluate, validate, and improve the overall systems architecture to ensure scalability, reliability, and maintainability.

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Own integrations across core business platforms, including Stripe, HubSpot, Hivebrite, Slack, Snowflake, AWS RDS, and other third-party applications.

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Design and maintain data flows connecting operational, product, sales, and financial systems, including payment workflows and customer entitlement logic.

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Build and manage data pipelines, transformations, and models covering customer, subscription, payment, revenue, engagement, and access information.

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Develop and maintain the technical infrastructure supporting customer entitlements, subscription management, and access-control systems.

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Support system migrations and new technology implementations, including data mapping, quality assurance, and downstream reporting assessments.

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Improve data quality, freshness, observability, testing, and monitoring across integrations and data pipelines.

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Document systems architecture, data definitions, source-of-truth decisions, and technical workflows.

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Collaborate with Operations, Sales, Marketing, and Finance to translate business requirements into scalable technical solutions.

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Communicate technical decisions and trade-offs clearly while balancing immediate business priorities with long-term architectural considerations.

Requirements

The ideal candidate combines strong engineering expertise with a practical understanding of business systems, data infrastructure, and subscription-based platforms.

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