# Director, Software Engineering at Visa

Visa is hiring a Director, Software Engineering in Bogotá, Colombia. Level rates it Works on AI ●●●○; you can [apply on Visa](https://jobsbylevel.com/go/cc3b746c-8237-4a7f-8b87-7a8ab9c60322?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. CO - Bogota, Colombia.

## Details

- Company: [Visa](https://jobsbylevel.com/companies/visa)
- AI level: AI Level 3 (score 65 out of 100)
- Location: CO - Bogota, Colombia
- Posted: June 18, 2026
- Apply: https://jobsbylevel.com/go/cc3b746c-8237-4a7f-8b87-7a8ab9c60322?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=director-software-engineering-at-visa-e75392

## Prepare for this job

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## Description

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description We are seeking a Director of Software Engineering who combines strategic leadership with strong technical depth and a GenAI-first mindset. This leader will drive modern product development for the Visa Direct Alias platform, applying Generative AI to improve engineering productivity, accelerate delivery, strengthen software quality, and enhance operational excellence. The role will lead cross-functional engineering teams responsible for building, scaling, and evolving mission-critical payment products and cloud-native platform capabilities on GCP. The Director of Software Engineering will lead the product development organization for ADS / Alias platform, responsible for building, scaling, and evolving mission-critical payment products and platform capabilities on GCP. This role will drive end-to-end engineering execution across product development, cloud-native services, release engineering, and production reliability, partnering closely with Product, Architecture, Security, Compliance, and Operations to deliver scalable, secure, and high-quality solutions in a complex payments environment. Key Responsibilities Lead a cross-functional engineering organization responsible for the YP ADS / Alias platform on GCP. Drive GenAI-first engineering practices to improve software development, testing, troubleshooting, release efficiency, and operational workflows. Deliver scalable, secure, and highly reliable distributed systems that support business, client, and regulatory needs. Drive engineering execution across product delivery, production reliability, release readiness, and operational excellence. Advance modern engineering practices, including CI/CD, automation, observability, feature flags, and safe production rollouts. Partner across Product, Architecture, Security, Compliance, and Operations to deliver high-quality solutions with strong execution predictability. Build and develop a high-performing team through strong leadership, coaching, accountability, and continuous improvement. Provide clear communication of engineering strategy, priorities, risks, and progress to senior leadership and cross-functional stakeholders. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. Preferred Qualifications 15+ years of relevant engineering experience with deep expertise in distributed systems, cloud platform engineering, and production operations. Strong experience with GCP services, cloud-native architectures, Kubernetes/containerized workloads, CI/CD pipelines, observability tooling, and infrastructure automation. Demonstrated success improving engineering execution through release discipline, test automation, environment governance, progressive delivery, and feature flag adoption. Experience leading reliability initiatives such as incident management, root cause analysis, service ownership, alert tuning, production readiness, and operational excellence. Familiarity with modern engineering productivity practices, including use

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