# Technical Lead - Acceptance Solutions Product Development

**Company**: Visa
**Location**: Foster City, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $192,300.00 to $307,600.00 USD per year
**Category**: Engineering
**Industry**: Finance

**Apply**: https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/US---Foster-City-CA/Lead-SW-Engineer_REF084993W?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f26b751a-928

## Description

The Acceptance Solutions Product Development team at Visa is seeking a hands-on technical leader to provide technical leadership across the teams building Visa's Processing platform.

The ideal candidate brings deep hands-on experience in distributed systems, high-throughput payment processing, transaction lifecycle workflows, event-driven architecture, secure software design, cloud-native platforms, operational resilience, and modern engineering practices.

Key responsibilities:

- Serve as the hands-on technical lead across the teams building the platform within Visa Acceptance, providing technical direction across architecture, design, integration, implementation, scalability, resiliency, security, and operational readiness.

- Design and evolve secure, reliable, and scalable platform capabilities that support core transaction workflows, lifecycle visibility, operational insight, reporting, reconciliation, and business-critical processing at scale.

- Provide technical leadership across platform services, integration layers, data flows, user experiences, analytics, and cross-team dependencies to ensure teams build toward a consistent end-to-end platform architecture.

- Remain actively hands-on with architecture, design reviews, code reviews, proof-of-concepts, performance analysis, debugging, technical troubleshooting, and production-readiness decisions on a day-to-day basis.

- Set technical direction for core platform capabilities, integration patterns, event flows, lifecycle services, reporting APIs, observability, operational controls, and production support in alignment with product, platform, security, user experience, and business objectives.

- Lead technical design for event correlation, transaction matching, capture-to-clearing handoff, settlement state management, retry handling, dead-letter queues, replay, idempotency, exactly-once processing considerations, batch file movement, and high-throughput data movement.

- Partner with application, payment platform, data, product, architecture, security, privacy, risk, governance, operations, and partner-integration teams to deliver solutions that meet functional and non-functional requirements, including security, latency, availability, compliance, maintainability, auditability, and operational readiness.

- Apply AI/ML, Generative AI, automation, and intelligent engineering practices to improve software delivery, platform observability, reconciliation insight, operational troubleshooting, developer productivity, and business outcomes across the platform.

- Mentor senior engineers and technical leads through design reviews, architecture discussions, hands-on problem solving, technical deep dives, brown bag sessions, and production troubleshooting.

- Communicate technical strategy, tradeoffs, risks, dependencies, and recommendations clearly to executive leaders, product partners, architecture forums, and engineering teams.

- Drive engineering improvements that strengthen reliability, performance, observability, maintainability, developer productivity, operational excellence, and production support across core platform capabilities.

- Influence technical strategy across teams without relying on formal reporting authority, using strong engineering judgment, collaboration, credibility, and hands-on technical depth.

Requirements:

- 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.

Preferred qualifications:

- Specialist: 4 or more years of relevant work experience.

- 15 years of experience with progressive technical leadership responsibilities and broad influence across platforms, products, or engineering organizations.

- Demonstrated track record as a hands-on technical leader with organization-wide or platform-wide impact.

- Deep expertise designing, building, and scaling mission-critical distributed systems that require high availability, scalability, resiliency, security, and operational excellence.

- Proven ability to solve complex technical problems that span multiple domains, systems, teams, and production environments.

- Experience setting technical direction, influencing architecture and strategy across teams, and aligning technical decisions with product and business objectives.

- Expert proficiency in modern programming languages, API-first development, system design, software architecture, testing, deployment, debugging, performance tuning, and operational troubleshooting.

- Mastery of cloud platforms such as AWS, Azure, or GCP, Kubernetes, containerized deployment models, and distributed architecture patterns.

- Deep experience with event-driven systems, event streaming platforms such as Kafka, and high-throughput data processing.

- Experience designing platform capabilities for large-scale transactional or operational systems, including reconciliation, reporting, analytics, workflow orchestration, lifecycle management, and business-critical processing.

Benefits:

- Comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Salary:

- The estimated salary range for this position is $192,300.00 to $307,600.00 USD per year, which may include potential sales incentive payments (if applicable).

## Skills

### Required
- distributed systems
- high-throughput payment processing
- transaction lifecycle workflows
- event-driven architecture
- secure software design
- cloud-native platforms
- operational resilience
- modern engineering practices

### Nice to have
- AI/ML
- Generative AI
- automation
- intelligent engineering practices
- cloud platforms
- Kubernetes
- containerized deployment models
- distributed architecture patterns
- event-driven systems
- event streaming platforms
- high-throughput data processing

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