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Principal Engineer, Digital Identity - Risk Intelligence

lseg · Allen

New
Senior 🇬🇧 English
.NET Core C# Java PostgreSQL MySQL Docker Kubernetes Azure AWS GCP SonarQube Coverity RabbitMQ TypeScript React VueJS Node.js MongoDB

Job description

About the role

LSEG is seeking a Principal Engineer to join its Risk Intelligence / Digital Identity & Fraud (DI&F) organization. This is a senior individual contributor role combining architecture, hands-on engineering and delivery leadership, working with developers, architects, product owners and quality leads to build secure, scalable, cloud-native solutions for fraud prevention, identity verification and account validation.

Key responsibilities

  • Own technical direction and engineering outcomes for a defined DI&F product, platform or capability, aligned with business needs and engineering standards.
  • Design, develop and enhance high-performance APIs and distributed platform capabilities for fraud prevention, identity verification and account validation.
  • Provide hands-on technical leadership: solution design, architecture guidance, code review, prototyping, issue resolution and implementation support.
  • Lead the design of microservices-based distributed systems using cloud-native architecture.
  • Work with architects, product owners and quality leads to decompose solutions into epics and break initiatives into executable work for engineering teams.
  • Improve engineering quality, resilience, performance, observability, security and reusability through shared patterns and standards.
  • Build and deploy containerized solutions with Docker and Kubernetes on Azure, AWS or GCP, following SOLID principles, design patterns, automated testing and tools such as SonarQube and Coverity.
  • Mentor engineers, communicate complex technical information to technical and non-technical audiences, and drive a security-first, risk-aware approach.

Required profile

  • Significant experience in software development and delivery, leading complex technical work in product or platform engineering.
  • Significant experience driving AI-enabled engineering practices in complex enterprise software, with measurable impact on productivity, quality and delivery.
  • Deep hands-on expertise in .NET Core / C# or Java, with strong experience designing enterprise-grade backend systems and APIs.
  • Strong experience with microservices, distributed systems and cloud-native design, and software architecture and scalable system design.
  • Ability to guide technical design, influence architecture decisions and mentor peers.
  • Excellent communication, presentation and documentation skills, and proven success reducing cycle time and increasing reuse.

Required skills

  • .NET Core / C# or Java
  • Microservices, distributed systems, cloud-native design
  • PostgreSQL and MySQL, with strong SQL and data modeling
  • Docker, Kubernetes and one or more cloud platforms (Azure, AWS or GCP)
  • Preferred: event-driven architectures (RabbitMQ, AWS MQ, Azure Queue), front-end or full-stack technologies (TypeScript, React, VueJS, Node.js), NoSQL (MongoDB, DynamoDB, CosmosDB), and FinTech experience in fraud prevention or digital identity

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Source : ats:workday

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Published 1 day ago

Expires 1 month from now

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lseg

Allen