Lead Software Engineer

Visa•Bellevue, WA

2d•$173,100 - $276,800•Hybrid

About The Position

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 Summary: The Lead Software Engineer is the highest individual contributor technical role responsible for setting technical vision, driving architectural excellence, and solving the most complex technical challenges for Visa's Acceptance Solutions platform, focusing on transaction processing platform. This role combines deep technical expertise (40-50% hands-on) with strategic leadership, cross-organizational influence, and pioneering adoption of Generative AI and agentic AI at scale.

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.
12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD.
15+ years of experience with progressive technical leadership responsibilities.
Demonstrated track record as a technical leader with organization-wide impact.
Deep expertise in designing and scaling mission-critical distributed systems.
Proven ability to solve complex problems that span multiple technical domains.
Experience setting technical direction and influencing strategy across teams.
Expert proficiency in modern programming languages and system design.
Mastery of cloud platforms (AWS, Azure, GCP), Kubernetes, and distributed architecture.
Deep experience with event-driven systems, Kafka, and high-throughput data processing.
Experience with security architecture (OAuth 2.0, JWT, mTLS, encryption, IAM).
Track record of mentoring senior engineers and developing technical leaders.
Experience pioneering AI-enabled engineering practices at organizational scale.
Deep understanding of payment processing and transaction lifecycle
Expertise in event-driven architecture and event streaming platforms (Kafka)
Knowledge of payment capture processing and event enrichment
Experience with file transfer protocols (SFTP) and batch processing.
Experience in payments, financial services, or high-scale transaction processing.
Recognized expertise in distributed systems (publications, speaking engagements, patents).
Experience with AI/ML at scale, including production deployment of intelligent systems.
Track record of building and evolving platforms serving billions of transactions.
Experience working with executive leadership on technical strategy.
History of developing engineers who have grown into senior technical roles.
Experience with PCI-DSS, SOX, and financial services regulatory compliance.
Understanding of payment network protocols (Visa, Mastercard, Amex)
Experience with event correlation and transaction matching
Knowledge of retry mechanisms, dead-letter queues, and event replay
Experience with data serialization formats (Avro, Protobuf, JSON)
Understanding of exactly-once processing and idempotency patterns.

Responsibilities

Design and build scalable, secure, and resilient software systems that support Visa’s Acceptance Solutions platform and global transaction processing capabilities.
Set technical direction and influence architectural standards for distributed systems, platform reliability, scalability, security, and reusability.
Lead the development of mission-critical transaction processing solutions that support high-volume payment flows, event-driven processing, and real-time data movement.
Collaborate with product, architecture, security, operations, and engineering teams to create design artifacts and deliver best-in-class software solutions.
Solve complex technical challenges across cloud-native platforms, distributed architecture, event streaming, API security, and payment lifecycle management.
Actively contribute to product quality, platform modernization, value-added services, and new business flows through hands-on development and technical leadership.
Leverage modern technologies, including cloud platforms, Kubernetes, Kafka, and AI-enabled engineering practices, to advance Visa’s next-generation payment capabilities.
Mentor engineers, influence technical leaders, and promote a culture of engineering excellence, innovation, continuous learning, and measurable business impact.
Lead the architecture, design, development, enhancement, and modernization of software solutions for Visa’s Acceptance Solutions transaction processing platform.
Develop secure, scalable, high-quality code that complies with design specifications, engineering standards, and security best practices.
Provide hands-on technical leadership for complex software development efforts while influencing technical direction across multiple teams.
Drive design and code reviews to ensure solutions meet expectations for performance, resiliency, observability, scalability, security, and maintainability.
Identify and implement automation opportunities across development, testing, deployment, monitoring, and operational workflows.
Partner with product owners, architects, security teams, operations teams, and engineering stakeholders to align technical solutions with customer and business objectives.
Use production telemetry, system analysis, and operational insights to recommend improvements to architecture, code, processes, and platform reliability.
Support agile delivery, release readiness, on-call rotations, incident response, root-cause analysis, and continuous improvement of production systems.
Guide the adoption of modern engineering practices, including cloud-native development, event-driven architecture, secure integration patterns, and AI-enabled development workflows.
Mentor senior engineers, develop technical talent, and contribute to reusable frameworks, architecture documentation, and engineering best practices.