Software Engineer - Sr. Consultant level - job 0 of 50

As a Software Engineer - Sr. Consultant at Visa, you will be responsible for designing and coding scalable transaction processing systems, establishing best practices for application development, and leveraging AI/ML technologies to optimize the software development lifecycle. Collaborating with business partners to translate product requirements into high-quality solutions is also a core responsibility of the role.

To qualify for the Software Engineer - Sr. Consultant position at Visa, candidates should possess a strong background in software engineering principles, experience with distributed systems, and a good understanding of AI/ML technologies. A proven track record in application development, deployment, and mentoring team members is essential, along with a commitment to engineering excellence.

Collaboration is critical for a Software Engineer - Sr. Consultant at Visa. You will work closely with various business teams and technical partners to convert requirements into high-quality solutions, ensuring that your work aligns with Visa’s leadership principles. The ability to engage in constructive debate and promote teamwork is highly valued.

In the Software Engineer - Sr. Consultant role at Visa, the hybrid work model allows for a mix of remote and in-office work. Your specific days in the office will be determined by your hiring manager, giving you the flexibility to balance your work environment while still collaborating closely with your team.

For a Software Engineer - Sr. Consultant at Visa, adhering to security and governance policies is vital in ensuring that the products developed meet both internal standards and external regulations. This helps maintain the integrity and security of transaction processing systems that have a global impact.

When answering this question, highlight specific projects where you designed or implemented distributed systems, discussing the technologies you used and any challenges you overcame. Mention how your contributions improved performance or scalability.

Explain your process for identifying and implementing best practices, citing examples of how you've previously established guidelines for development, testing, or deployment. Discuss your methods for ensuring team buy-in and adherence.

Share specific instances where you’ve integrated AI/ML technologies into applications, detailing the added value they brought. Discuss how you assess potential AI/ML opportunities and ensure they align with business objectives.

Emphasize your communication skills and provide examples of successful collaborations with non-technical teams. Discuss how you ensure that technical solutions meet business needs and foster a mutual understanding between parties.

Discuss specific mentoring experiences, illustrating your approach in guiding less experienced colleagues. Highlight how you assessed their needs, the techniques you employed, and the positive outcomes of your mentorship.

Mention the resources you use to stay current, such as blogs, conferences, online courses, or professional networks. Discuss how you apply new knowledge to improve your work and inform your team.

Outline the security practices you implement in payment systems, such as encryption, compliance with standards like PCI DSS, and regular security audits. Discuss your experience in identifying and mitigating vulnerabilities.

Explain your openness to feedback and how you use it as an opportunity for growth. Provide examples of situations where you received constructive criticism and how it positively influenced your work or decision-making.

Discuss design patterns and practices that contribute to scalability, such as microservices or load balancing. Cite specific projects where you implemented these methods and the performance results achieved.

Share your strategy for managing priorities, such as using task management tools or Agile methodologies. Provide examples of how you effectively balanced competing demands and met deadlines in past projects.