You will design, build, and maintain scalable backend services using Golang while optimizing existing systems for performance and reliability. You will also collaborate with cross-functional teams to implement features and participate in the architecture of complex backend systems.
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17 Remote Job Openings at Plata Card
The Analytics Engineer will build and maintain data pipelines while developing data marts to support reporting and analytics. They will act as a bridge between business logic and data engineering to ensure the delivery of reliable, production-grade data flows.
Lead and mentor the Telesales engineering team while managing delivery, prioritizing features, and ensuring high-quality technical solutions. You will shape the architecture and implementation of backend services in Golang while fostering team growth and performance.
You will act as the primary point of contact for internal users, investigating and resolving platform issues while automating support processes. Your role involves creating documentation, building bots, and enhancing AI-powered support tools to improve platform scalability.
QA Engineer - Backend (Golang) Middle+ [Bring a Friend]
Plata Card
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Full Time
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6 days ago
Plata Card
The QA Engineer will develop and maintain automated tests in Go while managing test documentation and infrastructure. They will also collaborate with the product team to analyze requirements and ensure high-quality releases through rigorous testing.
You will design and implement automated workflows across the employee lifecycle using low-code/no-code platforms and custom JavaScript logic. Additionally, you will act as a bridge between HR and IT to optimize HR processes and maintain scalable database structures.
Lead and mentor a team of data analysts while driving strategic risk initiatives through data-driven insights. Oversee the end-to-end analytics cycle, including reporting, A/B testing, and the implementation of efficiency-improving tools.
You will own the end-to-end foundation model program, from research direction to production deployment for credit decisions. You will also mentor senior engineers and drive technical standards for model development across the team.
The analyst will design and optimize financial products by managing performance metrics, conducting in-depth research, and building analytical infrastructure. They are responsible for leading a team of analysts to derive actionable insights and improve operational processes through data-driven decision-making.
The analyst will develop and optimize antifraud rules to balance security with customer experience across multiple payment channels. They will also collaborate with teams to investigate alerts, analyze fraud patterns, and implement automated detection solutions.
You will architect, optimize, and maintain large-scale, high-performance database infrastructures to ensure reliability and scalability. Additionally, you will manage backup and disaster recovery strategies while automating operational processes using infrastructure-as-code tools.
Develop and implement advanced statistical and predictive models to support risk management across credit, financial, and operational domains. Partner with cross-functional stakeholders to analyze model performance, identify risks, and improve organizational decision-making processes.
Develop and manage AI/ML pipelines using Large Language Models while focusing on model selection, configuration, and RAG-oriented data retrieval. Implement advanced OCR solutions and design experiments to evaluate model performance and drive product improvements.
Lead the Risk Technology team in building scalable infrastructure and internal products while managing hiring, planning, and cross-functional collaboration. Drive the development of risk scoring and decisioning capabilities while ensuring high standards for system reliability and performance.
Design and implement end-to-end learning solutions that address specific business and performance challenges. Partner with project managers to evaluate learning effectiveness through data-driven metrics and iterative improvements.
You will identify performance gaps and implement operational solutions by collaborating with product, operations, and analytics teams. Your goal is to improve business outcomes through targeted interventions like process optimization, training, and CRM enhancements.
The Automation Stream Lead will define the technical strategy and roadmap for internal automation solutions while mentoring the engineering team. They will actively design and implement high-impact AI-powered workflows and ensure the scalability and reliability of the company's automation infrastructure.
