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.
Translate business and analytical requirements into scalable data models, data marts, and SQL/dbt-based ETL/ELT transformations. Analyze and integrate data sources, optimize data flows, investigate quality issues, collaborate with domain teams, and document models, lineage, and business rules.
Build and maintain backend services in Go, improve existing services, investigate issues, and contribute to product features. Collaborate with other teams and experienced engineers on backend architecture and complex system development while gradually taking on more ownership.
You will lead and improve ATM testing processes while owning the full software testing lifecycle for web applications. This includes designing and executing manual and automated tests, tracking defects, and ensuring high-quality standards across UI and backend components.
The intern will support the Digital Marketing Performance team by generating AI-based video content and sourcing new creators for social media. They will also be responsible for reviewing content quality, tracking trends, and maintaining consistent communication with internal and external teams.
You will develop and maintain a Backstage-powered developer portal while collaborating with engineering teams to improve workflows and automation. The role involves designing self-service infrastructure workflows and ensuring seamless integration of CI/CD pipelines and observability tools.
You will design and build ML infrastructure from scratch, including automated training pipelines and a unified feature platform. You will also lead the implementation of model deployment, monitoring, and lifecycle management 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.
Develop and train self-supervised foundation models for financial data to improve downstream tasks like credit risk and anti-fraud. Manage the end-to-end lifecycle of research projects, from data collection and experimentation to inference optimization and impact evaluation.
You will be responsible for managing the user data lifecycle and ensuring the quality of identity services through automated testing. This includes developing test projects, maintaining automated test suites, and integrating them into CI/CD pipelines.
The Real Time Analyst will monitor service levels and agent activity in real time to ensure operational targets are met. They are responsible for analyzing contact patterns, managing queue routing, and providing reports on key performance indicators.
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 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.
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.
