Senior Manager, Software Engineering - 3DS

About the Role

We are looking for a Senior Manager, Software Engineering to lead the design, development, and execution of our 3D Secure (3DS), KYB/KYC, and Fraud platform initiatives. You will play a pivotal role in building high-performance, real-time systems on AWS that support 500+ transactions per second, while embedding AI/ML models to proactively detect and prevent fraud across 3DS rails.

This role requires a hands-on technical leader with deep experience in payments, fraud detection, 3DS protocols, and distributed system design, who thrives in solving complex problems and unblocking teams. You should be comfortable bridging across internal systems, third-party networks, and cross-functional stakeholders.

We work Flexible First. This role can be performed remotely anywhere within the United States or from our headquarters in Oakland, CA. We’d love for you to join us!

The Impact You’ll Have

• Architect, design, and implement scalable, reliable, and secure distributed systems for issuer card processing and real-time transaction management.
• Build and operate low-latency APIs capable of processing 500+ TPS using cloud-native AWS technologies (e.g., Lambda, ECS, EKS).
• Lead the adoption of Generative AI and Agentic AI to drive a 10x increase in developer productivity, while leveraging these technologies to build innovative business solutions.
• Define and champion engineering best practices, including CI/CD, observability, incident response, automation, and high availability, to ensure delivery excellence across the SDLC.
• Collaborate cross-functionally with Product, Risk, Compliance, and Fraud teams to define and prioritize customer needs, technical features, and regulatory requirements.
• Establish and maintain secure, reliable network integrations with all major U.S. card networks and internal services built on AWS.
• Partner with data science and fraud teams to integrate real-time ML models into the 3DS flow to detect Fraud behaviors and anomalies.
• Define and monitor key metrics for system throughput, model accuracy, fraud prevention efficacy, and overall platform stability.
• Ensure engineering excellence by implementing rigorous development, testing, deployment, and monitoring standards aligned with architectural goals and SLA requirements.
• Contribute directly to high-impact projects by building core modules, internal frameworks, automation tools, and proof-of-concepts for new technologies.
• Mentor, unblock, and grow engineering teams through technical leadership, hands-on support, and a culture of ownership, collaboration, and continuous learning.

Who You Are

• Experience: 10+ years of experience in software engineering, with at least 4 years leading high-performing engineering teams.
• System Design: Proven, hands-on experience designing and operating highly available (99.999%), multi-region, real-time critical systems with end-to-end latency consistently under 50ms, ideally in payments, fraud, or risk decisioning.
• AWS Expertise: Deep expertise in cloud-native architectures on AWS, including services like Lambda, ECS, and EKS; real-time data streaming using Kafka; and experience building high-performance APIs (REST/gRPC) under tight latency SLAs.
• Distributed Systems: Solid background in distributed systems design, including asynchronous processing, circuit breakers, retries, and rate-limiting.
• DevOps: Strong understanding of DevOps practices, including CI/CD, observability, automation, containerization (Docker), and orchestration using Kubernetes.
• Hands-on Technical Ability: Ability to write code, debug issues, or write queries to unblock teams, validate new ideas, and integrate emerging technologies.
• Data Proficiency: Proficiency in SQL and data analysis using tools like MySQL, Snowflake, and scripting languages.
• Data Streaming: Experience with real-time data streaming using Kafka or AWS Kinesis in support of event-driven architecture.

Nice to Haves

• Experience integrating with third-party KYC/AML vendors and building identity verification systems.
• Integration experience with U.S. card networks and fraud/identity platforms to incorporate inline risk signals.