Software Engineer – Golang, TypeScript, React

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Design, develop, test, maintain, and enhance microservices in Golang as well as frontend applications.

• Deliver efficient, modular interfaces that are guided by the company’s design system.

• Enhance the performance and observability of services and applications.

• Improve the quality of life for the team and the business through automation, process enhancements, or the adoption of new technologies.

• Gather, process, and validate extensive amounts of financial data related to cross-border payments.

• Provide financial data to users, enabling them to make informed business decisions.

• Collaborate with stakeholders across the organization and within the immediate team.

• Operate within a technical team of around 30 professionals, typically structured in groups of about three engineers and a Product Manager.

⛳️ Requirements

• Proven experience in writing Golang services and backend web applications.

• Familiarity with deploying applications using Docker containers.

• Experience in developing componentized application frontends with React/TypeScript.

• Proficient in writing efficient SQL queries.

• Understanding of clean code principles along with TypeScript and Go idioms.

• Capability to review code and set quality standards for the team.

• Willingness to learn about and engage with a new business domain and product.

• Ability to explain complex topics to peers effectively.

• Capacity to discuss personal learning strategies and skill improvements.

• Located in the Bogotá, Colombia region.

• Occasional in-person meetings are required.

• Independent contractor arrangement.

• Desirable skills include knowledge of concurrent logic/goroutines, CI/CD pipelines (particularly GitLab CI), observability tools such as Prometheus and Grafana, AI productivity tools, MaterialUI, Airflow, Python, or Terraform.

🏝️ Benefits

• Positive company culture.

• Inclusive and diverse work environment.

• Remote work arrangement.

• Periodic in-person team meetings.

• Opportunity to work with cutting-edge technologies, including machine learning and predictive analytics.