Top Tech Jobs & Startup Jobs

Leads software engineering efforts within an agile team, designing, developing, testing, debugging, and operating secure, scalable applications. Builds full-stack solutions using C#/.NET, Java, React, Angular, APIs, relational and NoSQL databases, CI/CD, and cloud technologies. Guides architecture evaluations, automation, operational stability, software quality, and adoption of approved AI-assisted development tools. Coaches engineers on responsible AI use, secure coding, testing, and validation practices while contributing to technical communities and team culture.

Leads a bank’s Fraud Operations function, overseeing high-risk alert investigations, mule and scam prevention, fraud controls, operational risk, performance, budgets, and regulatory compliance. Directs a large team, improves detection and response through automation and AI, manages cross-functional change, optimizes resourcing, and balances fraud-loss reduction with customer experience. Develops talent, governs processes, and delivers measurable operational outcomes across sites and stakeholder groups.

Leads development of agentic AI and LLM-driven software engineering solutions on AWS. Designs multi-agent orchestration, integrates AI agents with development toolchains, builds RAG pipelines, and establishes secure, measurable AI-assisted SDLC practices. Provides technical leadership, mentorship, governance, and guidance on responsible AI usage, observability, testing, and deployment.

Lead strategic experience design across product areas: define design and research strategy, create service flows, wireframes and prototypes, champion inclusive design and accessibility, mentor designers, collaborate cross-functionally, and use research and data to inform customer-centric solutions.

Lead PMO and enablement for an AI solutions portfolio, managing intake, prioritization, roadmaps, milestones, dependencies, governance, reporting, documentation, and executive communications. Coordinate business, technology, AI, risk, and execution teams in a matrixed environment. Develop dashboards, scorecards, summaries, and adoption collateral while improving portfolio processes, operating cadence, and visibility. The role is non-technical and does not involve model development.

Develop and enhance fraud strategies, dashboards, data pipelines, and analytical solutions to balance fraud prevention, financial performance, customer experience, and operational efficiency. Partner with Product, Technology, Operations, and risk teams to define requirements, test capabilities, monitor fraud trends, improve detection, and maintain compliance with control and regulatory frameworks.

Design, build, and operationalize analytical solutions and data pipelines for financial reporting. Create dashboards, automate reports (Alteryx/Python), enforce controls, document lineage, partner with Finance and Technology, and drive adoption and continuous improvement.

Serves as a strategic partner to Payments leadership in Mexico by managing business performance, financial analysis, budgeting, forecasting, risk mitigation, resiliency, and strategic initiatives. Develops business cases, prepares executive presentations, drives change, and collaborates with Finance, Operations, Technology, Legal, Compliance, and Data & Analytics teams to achieve business objectives.

Leads cross-functional design strategy initiatives within corporate third-party oversight risk management. Translates ambiguous problems, research, and data into actionable recommendations and measurable outcomes. Influences senior stakeholders through facilitation, storytelling, and decision-ready materials; applies journey mapping, service blueprinting, experimentation, and generative AI. Partners with product, operations, analytics, risk, compliance, and controls teams while coaching colleagues and strengthening team standards, risk practices, and solution quality.

Lead design and deliver high-quality, secure Java-based microservices and web applications. Drive architecture reviews, operational stability, CI/CD automation, and adoption/governance of AI-assisted engineering practices while mentoring engineers and promoting reuse and secure SDLC standards.