# Principal Engineer **Company**: London Stock Exchange Group (LSEG) **Location**: Allen, Texas **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Finance **Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/Allen-Texas/Principal-Engineer--DI-F-Product-Engineering_R0121563-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_879207d3-1ed ## Description 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. ## Skills ### Required - .NET Core - C# - Java - microservices - distributed systems - cloud-native application design - PostgreSQL - MySQL - Docker - Kubernetes - Azure - AWS - GCP ### Nice to have - FinTech - AI-enabled development approaches - event-driven architecture - message brokering technologies - RabbitMQ - AWS MQ - Azure Queue - TypeScript - React - VueJS - Node.js - NoSQL technologies - MongoDB - DynamoDB - CosmosDB --- Source: [Apply at lseg.wd3.myworkdayjobs.com](https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/Allen-Texas/Principal-Engineer--DI-F-Product-Engineering_R0121563-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)