Backend NestJs Developer

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 Backend NestJS Developer based in Brazil.

We are seeking an experienced backend developer to maintain and enhance a live, business-critical microservices platform. In this fully remote role, you will combine production support with hands-on feature development, taking ownership of issues and improvements from investigation through deployment. You will work across distributed services and integrations with external platforms, helping ensure system reliability, data integrity, and seamless business operations. Working closely with product and QA teams, you will contribute to technical decisions, clarify requirements, and deliver high-quality solutions. You will also use AI coding agents as part of an increasingly agentic development workflow, balancing speed with careful testing and code quality. This is an opportunity to make a direct impact in a collaborative environment that values autonomy, accountability, and continuous improvement.

Accountabilities: -

Investigate, diagnose, and resolve production issues across distributed microservices, tracing requests from user-facing APIs through services and external integrations.

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Support incident response by identifying root causes, implementing fixes, adding regression tests, and documenting findings to prevent recurrence.

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Develop and deliver enhancements to existing services, including certification program updates, scorecard and scoring changes, payment adjustments, and integration improvements.

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Maintain and extend the platform's layered service architecture, following established patterns and shared internal libraries across API gateways, business logic services, and external system adapters.

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Maintain integrations with third-party platforms covering performance data, CRM, ERP, payment processing, email, and cloud file storage.

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Write and update database migration scripts and investigate production data issues carefully, particularly when working with live data.

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Collaborate with QA and product teams to clarify expected behavior, reproduce issues, confirm requirements, and support testing and release verification.

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Improve production observability through structured logging, sensitive-data masking, and clearer system visibility.

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Participate in code reviews and keep technical documentation accurate and up to date as the platform evolves.

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Use AI coding agents to investigate, develop, and deliver solutions efficiently while validating generated code and maintaining engineering standards.

Requirements:

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Proven ability to take ownership of technical problems from initial bug reports or change requests through testing, deployment, and resolution.