Software Engineer - Sr. Consultant Level (7+, SDET)
AI in this role
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
This role will be part of a team that is responsible for building and maintaining highly scalable, high-availability microservices within various financial domains. The team plays a critical role in enabling seamless product journeys by orchestrating calls across multiple squad microservices. We ensure continuous delivery of new features while maintaining zero-disruption deployments, safeguarding system stability and reliability in a mission-critical financial environment. You will be part of technical and product discussions in order to find the best scalable solution for the usecases.
What You'll Do:
- Technical Leadership: Consistently leads their squad to successful technical outcomes, ensuring sound engineering decisions that balance technical debt, system design, reliability, observability, and business needs.
- High-Impact Contributions: Regularly recognized for delivering high-quality, impactful technical solutions within their team and across collectives.
- Coding Standards & Best Practices: Actively enables other engineers to elevate coding standards and deepen awareness of best practices, especially around non-functional requirements.
- Product Awareness & Planning: Demonstrates strong product understanding, contributes meaningfully to quarterly planning, and collaborates with PMs or team leads to shape squad vision.
- Mentorship & Feedback: Proactively supports the growth of other engineers through mentoring, sponsorship, and constructive feedback.
- Cross-Team Collaboration: Frequently consulted by engineers from other squads, demonstrating the ability to tackle complex and ambiguous problems under pressure.
- Technology Strategy: Keeps up with emerging technology trends and contributes insights to squad-level strategic discussions.
- Experience with AI driven development ecosystem, preferably one of Cluade, Cursor, OpenAI Codex, Amazon Kiro.
Qualifications
Basic Qualifications:
- 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 11+ years of relevant work experience.
Preferred Qualifications:
- At least 3 years of experience working with Go (Golang) in production - environments
- At least 2 years of experience with AWS Cloud
- Solid understanding of microservices architecture and distributed systems.
- Experience with REST APIs and modern backend development practices
- Familiarity with version control (Git) and continuous integration workflows
Role specific Skills/Competencies:
- Service, API & Distributed Systems Testing
Hands-on experience designing and implementing API, contract, integration, and service testing for distributed microservices, including service virtualization, mocking, test data management, and validation across multiple environments. - Performance, Reliability & Resilience Engineering
Experience designing and executing performance, load, chaos, and resilience testing to identify scalability limits, resource constraints, degradation patterns, and system failure modes. - Production Signal-Driven Quality Engineering
Ability to use production signals, including incidents, logs, alerts, defects, and customer-impact patterns, to identify systemic quality gaps, improve test coverage, and engineer safeguards that prevent recurring production failures. - Event-Driven & Asynchronous Systems Correctness
Experience validating failure modes and correctness in event-driven and asynchronous architectures. - Ability to debug and troubleshoot issues in complex systems
- Strong focus on testing and software quality
- Experience working in high-scale and high-availability environments
- Experience with distributed transaction systems
- Knowledge of messaging systems and event-driven architectures
- Familiarity with CI/CD pipelines and Docker/Containers.
- Understanding of observability practices (monitoring, tracing, alerting).
- Hands-on experience with Terraform or other IaC tools.
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.
How we score this
Software Engineer - Sr. Consultant Level (7+, SDET) at Visa scores 31 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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- Walk me through how you've used Cursor in your day-to-day work.
- What are the limits of Codex that you've run into, and how did you work around them?
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- List these exact terms on your resume: OpenAI, Cursor, and Codex. An applicant tracking system matches the wording, not the idea.
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