Chief Software Engineer

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

As a Technology Leader in the Risk and Identity Solutions division at Visa, you will be part of our Risk Solutions team to help design, enhance and build our transactional Fraud detection engine in an agile development environment. You will work with colleagues, who will support and challenge you daily. You will take leadership roles working on multiple projects building full stack development of real-time transactional services, RESTful APIs and Container based distributed services that are highly available, secure, scalable, and resilient. You will spearhead development of next generation software based on machine learning and deep learning. We believe in self-managing Agile teams who build products end to end focusing on unit testing, code reviews and continuous integration for excellent code quality. You will see the code written and moved to production within just a few days, to then be used by a huge customer base. You will be driving innovation that makes our products stand apart from our competitors and delight the customer with accelerated time-to-market delivery.

You are a trusted technology advisor and thought leader working with architects, DEV leads, test engineering leads, TPMs, product managers, security architects, and other partners across the organization in ensuring that what we build is secure, scalable, performant, and reliable.  Every technology and software that you have touched in the past, you have become an SME at with a deep level of understanding how it worked and are able to incorporate this in the most optimize form.

Key Responsibilities

• Work with Architects, DEV Leads, and TPMs in designing forward-looking software solutions.

• Design infrastructure that is reliable, performant, and fault tolerant

• Dissect solutions for bottlenecks and issues

• Continually evolve development processes to become faster and more automated

• Partner with Technology and Security Governance to evaluate and translate changes and execute towards compliance

• Security & Quality Champion for organization, installing best practices and standards, creating automated gates in our CI/CD pipeline for quality, security, and performance

• Create Projects, Features, and Stories for Technology driven projects and initiatives

• Evaluate and develop PoCs for new technologies

• Mentor and groom developers

• Guide teams in building reusable libraries and frameworks

• Prepare technical material and give technical presentations to stakeholders

• Design and build infrastructure and microservices that help index, mine, transform, and compose PB sized deep learning datasets.

• Lead and build scalable and distributed services that will help power the AI infrastructure for deep learning platforms.

• Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.

• Design the next generation of dataset management services for real and synthetic / simulated datasets.

• Design high volume high throughput multi-tenant cloud ready distributed system at a scale.

• Enable smart data selection - one of the key ingredients for successful machine learning!

• Collaborate with multiple AI teams to understand their requirements and build a platform infrastructure that improves productivity.

•  Be a technical leader on various projects across the platform and be a major contributor of the entire platform’s architecture.

• Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable coding and security standards.

• Collaborate with senior technical sta