You will define and develop the company's target data security architecture to protect sensitive information across all platforms and integrations. This involves collaborating with cross-functional teams to implement security controls, perform risk assessments, and establish long-term data protection roadmaps.
You will lead a cross-functional engineering team to build and maintain internal AI platforms while shaping the technical architecture. The role involves driving platform development from concept to production and collaborating with product, data, and AI teams to meet business goals.
You will lead, mentor, and grow a team of backend engineers while taking ownership of the team's delivery, technical direction, and service reliability. You will also partner with product and engineering stakeholders to drive technical strategy and improve engineering practices across the department.
Lead and improve ATM testing processes, coordinating testing activities throughout the lifecycle and ensuring the quality of web applications through manual and automated UI and backend testing. Design and maintain test documentation, execute acceptance, exploratory, regression, and smoke tests, track and report defects, and monitor and optimize testing quality and standards.
Prepare monthly market overviews and quarterly competitor benchmarks, track Mexico's macroeconomic conditions and household debt, and analyze banks and fintechs across Mexico, Colombia, and other markets. Reconcile financial and regulatory data, estimate market sizes, and present findings in concise English slides and memos to inform management reviews and business scenarios.
Lead product and technical initiatives through requirements gathering, solution design, development, launch, and production support, coordinating stakeholders and cross-team dependencies. Refine the development backlog, define integration specifications and technical documentation, and support Developers and QA through implementation, testing, and production issue resolution.
You will act as a bridge between business and technical teams to define and document logic for financial transaction processing and accounting systems. Additionally, you will collaborate with engineering and QA teams to ensure successful implementation, data integrity, and support for financial audits.
Manage end-to-end recruitment for Product Managers, Product Designers, and Business Analysts, including sourcing, interviews, candidate assessment, and offer negotiations. Partner with hiring managers, track recruitment metrics, and improve hiring processes and team-wide initiatives.
The System Analyst will participate in the full product development lifecycle, designing technical solutions and creating specifications for integration. They will collaborate with engineering and design teams to optimize user journeys and resolve complex production issues.
Maintain the reliability, availability, performance, and scalability of the core payments processing platform and its integrations with global payment networks. Monitor services, maintain deployment and CI/CD configurations, resolve infrastructure and product failures, investigate incidents to eliminate root causes, and document technical processes.
You will collaborate with engineering teams to embed security throughout the software development lifecycle, from design to deployment. This includes conducting threat modeling, managing security tools in CI/CD pipelines, and driving proactive risk mitigation.
The Principal Engineer will define company-wide architectural principles and align technical decisions across various teams and domains. They are responsible for reducing system complexity, leading design reviews, and addressing long-term technical risks to ensure a sustainable technical direction.
You will be responsible for testing mobile applications across iOS and Android platforms while maintaining high-quality test documentation. The role involves collaborating with international teams to localize defects and ensure robust feature performance.
You will be responsible for analyzing requirements, creating test scenarios, and maintaining test documentation for the KYC identity verification framework. Additionally, you will develop and maintain automated tests in Go while collaborating with the product team to identify and resolve defects.
Lead a cross-functional engineering team to deliver AI-powered business features from concept to production. Drive architecture, planning, and team performance while collaborating closely with Product, Data, and AI stakeholders.
You will be responsible for developing and maintaining automated test frameworks for core banking microservices while ensuring system security and regulatory compliance. The role involves active participation in the full software development lifecycle, including requirements analysis, defect reporting, and CI/CD integration.
Lead and mentor a team of engineers while managing the development and evolution of critical data ecosystem tools. Collaborate with stakeholders to translate product vision into robust technical solutions and ensure service reliability through SRE processes.
You will design and operationalize IT General Controls (ITGC) to ensure SOX compliance and data integrity across engineering, security, and finance teams. Additionally, you will manage audit evidence collection, remediate control gaps, and contribute to broader compliance frameworks and business continuity planning.
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 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.
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.
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.
