Lead SW Engineer

Overview

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 optimized form.

• Design infrastructure that is reliable, performant, and fault tolerant
• Lead Programmer and Expert in developing highly available, reliable, and scalable solutions
• Ensure security, reliability, performance and cost effectiveness of the Risk platform
• Collaborate with product management, other VISA IT groups and vendors to develop solutions for complex, global business requirements
• Establish architectural and technical standards and processes, ensure adherence to them through governance
• Evaluate and identify appropriate technology solutions to meet business and technology challenges, guide product development teams through their implementation
• Keep abreast of evolving technologies and anticipate technological evolutions that could be leveraged to enhance current architectures
• Design solutions involving moving existing applications and services to the cloud (public and hybrid)
• Champion technology innovation
• Create Projects, Features, and Stories for technology-driven projects and initiatives
• Evaluate and develop PoCs for new technologies and hands-on programming
• 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
• Be a technical leader on various projects across the platform and be a major contributor and be hands-on for the entire platform's architecture
• Troubleshoot production issues as needed by working closely with Product and Support Teams

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: 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD. Experience in architecture and design of distributed, highly scalable, highly available systems; 10+ years of technical lead in all phases of software development life cycle;

experience in Java software development, web applications and services, Spring, technology standards and frameworks; strong REST API and container-based technologies; UI technologies (JQuery/JavaScript, ES6, HTML5, CSS3/4, Redux, Riot.js, React.js; D3 a plus); cloud migration experience (AWS, GCP, or Azure) is a plus;
Kafka, Cassandra, Spark, Flink, distributed cache; containers and orchestration (Docker, Kubernetes); cloud infrastructure and cost-effective platforms; microservices architecture and large-scale distributed systems; high availability, low latency, and strong data consistency; experience implementing low-latency distributed services with open standard technologies; strong interpersonal and leadership skills; proven experience as a technical leader with ability to architect, design and build solutions; mentoring juniors;

passion for Big Data and analytics (Hadoop, Spark, Solr, Map Reduce); proficiency with programming languages, code quality initiatives, scripting languages and operating systems.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This…