SW Engineer - Sr. Consultant Level

Visa • Austin, TX

8d • Hybrid

About The Position

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.
The Opportunity:
We are looking for a versatile, curious, and driven Sr. Consultant Software Engineer (I6.5) to help build and evolve Visa’s event-driven notification infrastructure. This is a hands-on individual contributor role focused on designing, building, and operating fault-tolerant services that enable real-time communications across Visa’s ecosystem.
In this role, you will take end-to-end technical ownership of one or more platform components, set a high bar for engineering quality, and lead initiatives that improve resiliency, scalability, and delivery velocity while keeping production stability front and center. This role does not have people-management responsibilities.
The Work itself:
​Develop robust APIs and integrations that enable real-time communications (e.g., email, SMS, webhooks) and external integrations across Visa’s ecosystem.
Leverage modern technologies (cloud-native patterns, containers, streaming/messaging) and automation/AI to improve delivery velocity and software quality.
Design and build event-driven notification services that operate at global scale, with a focus on reliability, resiliency, scalability, and security.
Collaborate cross-functionally with Product, Engineering, SRE/DevOps, and Security to create design artifacts and deliver best-in-class solutions.
Actively drive platform modernization and continuous improvement (quality, performance, operability, cost-awareness) while maintaining production stability.
Make a difference through mentorship, code reviews, and a commitment to continuous learning.

Requirements

• 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 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
• Backend Services & Integration Architecture: 7+ years designing, building, and operating secure, highly available backend services (Java or similar), including API design (REST and/or gRPC), distributed systems patterns, and integration with downstream systems.
• Event Streaming & Event-Driven Systems: 4+ years building or operating event-driven architectures and high-throughput event processing using messaging/streaming platforms (e.g., Kafka, RabbitMQ) and patterns such as idempotency, retries, backpressure, and deduplication.
• Reliability, Observability & Production Operations: 4+ years applying an operability-first mindset (logging, metrics, tracing), using observability standards/tools (e.g., OpenTelemetry and related tooling), and participating in incident response/root-cause analysis for production systems.
• Cloud & Containerization: 4+ years building/deploying services on cloud and container platforms (e.g., Docker, Kubernetes), including capacity planning, performance tuning, and multi-region rollout considerations.
• Data Management: 5+ years working with relational and/or NoSQL databases (schema design, query optimization, and data modeling) in support of high-scale services.
• Application & Infrastructure Security: 4+ years applying secure-by-design principles, API security, and vulnerability remediation within an enterprise SDLC, comfort engaging in security reviews and aligning to internal security/privacy/compliance expectations.
• CI/CD, Release Management & Progressive Delivery: 3+ years building/operating CI/CD pipelines and deployment strategies (e.g., canary, blue/green, feature flags) for distributed systems.
• Developer Productivity & GenAI in Engineering: 1+ years leveraging GenAI tooling (e.g., GitHub Copilot or equivalent) and automation to improve engineering workflows (quality, testing, documentation, and delivery efficiency).
• Energy and Experience: Demonstrated technical ownership of components and outcomes, from design through production operations, comfortable working on complex systems at scale.
• Challenge the Status Quo: Proactively identifies reliability, resiliency, scalability, and quality gaps and drives pragmatic improvements through automation and better engineering practices
• Language Expertise: Strong proficiency in Java (or similar) and experience building scalable backend services and APIs.
• Builder: Experience delivering distributed, event-driven systems (streaming/messaging) with secure-by-design principles, strong CI/CD and test automation practices, and progressive delivery patterns.
• Learner: Growth mindset with curiosity for modern technologies (cloud-native patterns, containers, observability) and applying AI tools to improve developer productivity and code quality.
• Partnership: Strong cross-functional collaboration (Product, Engineering, SRE/DevOps, Security) and a track record of mentoring engineers through technical challenges and code reviews.

Nice To Haves

• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD

Responsibilities

• Own one or more core platform components end-to-end: design, implementation, testing strategy, release, and ongoing production health.
• Work with product owners to gather and refine requirements, then translate them into technical designs and delivery plans.
• Develop robust, scalable solutions that integrate cleanly with the broader internal technical ecosystem.
• Drive resiliency, scalability, and operational excellence through observability-first engineering and incident readiness.
• Strengthen CI/CD and release practices with automation and quality gates to maintain high quality as new features are introduced.
• Troubleshoot complex issues in distributed, event-driven systems, lead root-cause analysis and drive durable fixes.
• Mentor and coach engineers through technical challenges, raise the overall engineering bar through reviews and technical guidance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees