Principal Engineer

We are seeking a Principal Engineer to join our Risk Intelligence / Digital Identity & Fraud (DI&F) organization. This is a senior individual contributor role responsible for leading complex technical initiatives and owning technical direction for a critical product, platform, or engineering domain.

The successful candidate will operate at both strategic and execution depth: shaping architecture, influencing design decisions, decomposing large initiatives into executable work, mentoring engineers, improving standards and reuse, and remaining actively involved in day-to-day engineering work including design reviews, problem solving, implementation guidance, and delivery support.

Role Responsibilities & Key Accountabilities

• Own technical direction and engineering outcomes for a defined DI&F product, platform, or capability area, ensuring solutions align with business needs, platform strategy, and engineering standards.
• Design, develop, and enhance high-performance APIs and distributed platform capabilities used for fraud prevention, identity verification, and account validation.
• Provide hands-on technical leadership through solution design, architecture guidance, code review, prototyping, issue resolution, and implementation support across the software development lifecycle.
• Lead the design and evolution of microservices-based distributed systems using cloud-native architecture and modern engineering practices.
• Work closely with architects, product owners, and quality leads to decompose solutions into epics, lead design planning, and break initiatives into executable journeys for engineering teams.
• Own delivery of critical platform capabilities, working with a high degree of autonomy while mentoring others and helping ensure timely completion of work across the team.
• Improve engineering quality, resilience, performance, observability, security, and reusability through shared patterns, technical standards, and strong implementation discipline.
• Drive a security-first and risk-aware engineering approach by evaluating design trade-offs, resolving blockers, and building resilience and operational readiness into systems and delivery practices.
• Build and deploy containerized solutions using Docker and Kubernetes across cloud platforms such as Azure, AWS, or GCP.
• Ensure code quality through adherence to SOLID principles, sound design patterns, automated testing, and engineering quality tooling such as SonarQube and Coverity.
• Use data, experimentation, customer feedback, and operational insight to validate assumptions and continuously improve systems and engineering methods.
• Build strong relationships with internal and external stakeholders and communicate complex technical information clearly to both technical and non-technical audiences.
• Mentor engineers and raise the bar for technical quality, delivery practices, and engineering capability across the team.

Qualifications & Experience

• Significant experience in software development and delivery, with demonstrated success leading complex technical work in product or platform engineering environments.
• Significant experience driving AI-enabled engineering practices in complex enterprise software environments, with measurable impact on developer productivity, engineering quality, and delivery outcomes.
• Demonstrated ability to identify, evaluate, and implement modern AI-assisted development approaches that improve architecture, design, coding efficiency, testing effectiveness, and operational support.
• Deep hands-on expertise in .NET Core / C# or Java, with strong experience designing and delivering enterprise-grade backend systems and APIs.
• Strong experience with microservices, distributed systems, and cloud-native application design.
• Strong understanding of software architecture, scalable system design, engineering patterns, and how to apply them effectively in enterprise solutions.
• Experience with relational databases such as PostgreSQL and MySQL, including strong SQL and data modeling skills.
• Experience with Docker, Kubernetes, and one or more major cloud platforms such as Azure, AWS, or GCP.
• Ability to guide technical design, influence architecture decisions, and mentor peers through hands-on technical leadership.
• Strong analytical and problem-solving capabilities, including the ability to work independently and manage dynamic priorities.
• Excellent communication, presentation, and documentation skills, with the ability to explain technical concepts to non-technical stakeholders.
• Proven success using modern engineering and automation approaches to help teams reduce cycle time, increase reuse, and accelerate delivery in cloud-native and distributed system environments.

Preferred Qualifications

• Experience in FinTech, particularly in financial markets, fraud prevention, digital identity, or account verification solutions.
• Ability to use AI-enabled development approaches to improve delivery speed, code quality, reuse, and overall engineering effectiveness.
• Experience with event-driven architecture and message brokering technologies such as RabbitMQ, AWS MQ, or Azure Queue.
• Familiarity with front-end or full-stack technologies such as TypeScript, React, VueJS, or Node.js.
• Familiarity with NoSQL technologies such as MongoDB, DynamoDB, or CosmosDB.
• Experience working with highly distributed, data-intensive systems at scale.