Sr. SW Engineer

Job 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 Visa is seeking a Sr. Software Engineer (AI Cybersecurity) to design, develop, and deliver secure, scalable, and high-quality software solutions. This role focuses on building intelligent cybersecurity systems leveraging AI, Machine Learning, and Generative AI technologies to enhance automation, detection, and response capabilities. The ideal candidate will be a hands-on engineer who spends the majority of time coding, building backend services, and integrating AI-driven components using modern development tools, cloud platforms, and automation frameworks. You will collaborate with cross-functional teams including product, data science, cybersecurity, and engineering to deliver impactful solutions that strengthen Visa’s security posture. All roles require digital fluency, including the effective use of Generative AI tools (e.g., Microsoft Copilot, ChatGPT) to enhance development productivity and innovation. Responsibilities Design, develop, and maintain secure and scalable software applications. Build backend services and AI-driven components using Java and Python. Integrate Machine Learning and Generative AI capabilities into applications. Translate business and cybersecurity requirements into technical solutions. Contribute to system design, architecture, and technical decision-making. Develop, test, and deploy high-quality code following best practices. Conduct debugging, troubleshooting, and performance optimisation. Perform code reviews and ensure adherence to secure coding standards. Create and execute test plans to validate functionality and security. Collaborate with cross-functional teams to deliver end-to-end solutions. Continuously learn and adopt emerging technologies in AI, ML, and cybersecurity. Qualifications Basic Qualifications 2+ years of relevant work experience and a Bachelor’s degree OR 5+ years of relevant work experience. Masters graduates must have 2+ years of relevant work experience to qualify. Preferred Qualifications 3 or more years of work experience with a Bachelor’s degree or more than 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD). Knowledge of Data Science and Machine Learning concepts. Strong hands-on experience in Java and Python programming. Experience in software development, system design, and application development. Experience building web-based or backend systems. Strong understanding of debugging, troubleshooting, and testing practices. Experience applying AI/ML techniques in production environments. Familiarity with Generative AI tools and coding co-pilots. Understanding of GenAI frameworks and technologies (LLMs, prompt engineering, RAG, APIs). Experience building scalable backend systems using Java and Python. Exposure to cybersecurity platforms or secure software development practices. Experience with cloud platforms and distributed systems. Ability to work effectively in cross-functional teams. Key Skills Java (strong hands-on expertise) Python (strong hands-on expertise) AI/ML fundamentals Generative AI tools and frameworks Software design and system architecture Secure coding practices Problem-solving and analytical thinking Collaboration and communication Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.