SW Engineer - Cyber (does not qualify for immigration support) at Visa

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

Join our dynamic Visa Cybersecurity – Product Security Engineering team, a key component of Visa's Technology organization, where you will play a crucial role in securing and innovating Visa's products and services. Our team is at the forefront of technology, delivering secure, high-quality, and easy-to-use products that enable Visa and our partners to rapidly and efficiently innovate. Cyber Products operationalizes the usage of AI and decision intelligence to ensure ongoing business values. If you want to be in the exciting payment security and AI space, learn fast, and make big impacts, this is an ideal place for you! The role is for a specialist with hands-on generative AI experience, who thrives on solving complex challenges, modernizing legacy code, and embracing cutting-edge technologies like LLMs.

We are responsible for designing, developing, and implementing next generation data platforms to drive incremental revenue. Essential Functions: · Hands-on Programming · Full-stack development contributes to the design of backend, databases and queries, API creations and consumptions, and contributes to frontend UI development. · Works independently with minimal insight to develop software that conforms to Visa’s high standards of security, quality, performance, resiliency, and compliance. · Design, develop, and unit test applications in accordance with established standards. · Improving the productivity of the engineering organization by infusing AI into our coding standards and practices. · Proven track record of managing and executing multiple high-impact LLM based projects, balancing delivery speed with quality. · Able to showcase the productivity improvement by collecting relevant metrics. · Participate in design and code review sessions as appropriate. · Provide third-level support to business users. · Keep up with current and developing engineering trends · Design, Architect and Implement high robust system designs as per the growing needs · Contribute to the roadmap for the product · Work with architects, systems analysts, project managers and other developers to efficiently implement business requirements while applying the latest available tools and technology.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications

• Bachelor's degree, OR 3+ years of relevant work experience
• 6 months - 2 years of hands-on expertise with Java, Spring, Python and related technologies.
• Experience in Gen AI, Big data and UI technologies will be an added advantage.
• Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase.
• Skilled in realizing the full potential of LLM-based AI frameworks.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Computer Information Systems, Computer Engineering, or closely related field and 2 years of experience in the job offered or in a software engineer-related occupation.
• 6 months - 2 years of hands-on expertise with Java, Spring, Python and related technologies.
• Experience in Gen AI, Big data and UI technologies will be an added advantage.
• Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase.
• Highly skilled in realizing the full potential of LLM-based AI frameworks.
• Ability to work effectively on multiple concurrent assignments with both AI and non-AI application projects.
• Experience working in an Agile and Test-Driven Development environment.
• Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Selenium, Chef desirable.
• Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients.
• Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style.

Information for US Applicants

For roles located in the US, the estimated salary range for this position is $112,400.00 to $ 174,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.