Systems Engineer

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.

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

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

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

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

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

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

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

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

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

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.

7+ years of experience in systems engineering, data engineering, analytics engineering, backend engineering, or business systems engineering.

Strong hands-on Python experience building integrations, data pipelines, APIs, automations, or backend services.

Advanced SQL skills and experience working with modern data warehouses such as Snowflake.

Experience managing operational databases, including AWS RDS, PostgreSQL, or equivalent technologies.

Proven experience building and maintaining integrations with third-party SaaS platforms such as Slack, Hivebrite, Circle, or Notion.

Strong understanding of APIs, webhooks, event-driven workflows, and data synchronization.

Required experience with payment systems, subscription platforms, and CRM solutions.

Experience with Stripe or the ability to demonstrate a strong understanding of its technical documentation.

Familiarity with the HubSpot API and subscription-based business models is highly preferred.

Experience developing entitlement systems, access-control logic, or subscription-based product infrastructure is a strong advantage.

Ability to incorporate automated workflows into entitlement and access-control processes.

Excellent documentation and communication skills, with the ability to work effectively with technical and non-technical stakeholders.

Strong problem-solving and independent decision-making skills, particularly when designing scalable systems in a fast-paced environment.

Professional proficiency in English and the ability to work with US-based teams.

Must be based in Latin America and available for full-time remote work, with general availability during US Eastern business hours (9 AM–5 PM).

A dedicated home office, reliable high-speed internet connection, and suitable computer equipment are required.

Benefits

Competitive monthly compensation of $7,500–$8,000 USD.

Full-time remote opportunity open to professionals based in Latin America.

Flexible working schedule without fixed daily hours, provided responsibilities are completed and there is general availability during US Eastern business hours.

Monday-to-Friday work arrangement.

Supportive and collaborative environment that values kindness, professional development, and shared success.

Opportunity to contribute to a global professional community of nearly 10,000 members.

Meaningful impact on the professional and personal development of members worldwide.

Exposure to accomplished professionals across industries and opportunities to expand your professional network.

Opportunities to strengthen your technical expertise and grow professionally.

Commitment to diversity, inclusion, and equal employment opportunities.

How Jobgether works

• We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
• We appreciate your interest and wish you the best!
• Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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