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Principal Engineer, DI&F Product Engineering

Job in Allen, Collin County, Texas, 75013, USA
Listing for: London Stock Exchange Group
Full Time position
Listed on 2026-08-03
Job specializations:
  • Software Development
    Software Architect
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Principal Engineer, DI&F Product Engineering Skip to main content#Principal Engineer, DI&F Product Engineering page is loaded## Principal Engineer, DI&F Product Engineering Apply locations:
Allen, Texastime type:
Full time posted on:
Posted Todayjob requisition :
R0121563

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 role combines architecture, hands-on engineering, and delivery leadership, working closely with development teams, architects, product owners, and quality leads to build secure, scalable, resilient, cloud-native solutions that support fraud prevention, identity verification, and account validation services.

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 Sonar Qube 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…
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