About the Role
As a Senior C++ Engineer, you will play a pivotal role in designing and developing high-performance, low-latency backend systems at the core of our fraud prevention platform. You will leverage your expertise in modern C++, multi-threaded programming, and distributed systems to build and optimise services that process massive volumes of transactions in real time across multiple regions worldwide.
Responsibilities
- Design and develop high-performance C++ backend services and components
- Build and optimise multi-threaded, low-latency systems for real-time transaction processing
- Work with NoSQL databases and message queue technologies to handle large-scale data flows
- Contribute to scripting and configuration layers that drive system behaviour
- Troubleshoot, profile, and improve system performance, scalability, and reliability
- Contribute to system architecture, design decisions, and engineering best practices
- Review code and mentor junior engineers
- Ensure high-quality, maintainable, and testable code through static analysis, sanitizers, and thorough testing
Requirements
- Strong proficiency in modern C++
- Solid experience with multi-threaded and concurrent programming
- Experience with CMake or similar C++ build systems
- Strong Linux systems programming skills
- Solid understanding of distributed systems and microservices architecture
- Experience with NoSQL databases (e.g., Aerospike, Cassandra, or similar)
- Experience with message queue technologies (e.g., Kafka, ActiveMQ, or similar)
- Proven ability to profile, debug, and tune performance-critical systems
- Strong problem-solving and debugging skills
- Ability to work in a fast-paced, collaborative environment
Skills
- C++
- Multi-threaded programming
- Distributed systems
- NoSQL databases
- Message queue technologies
- CMake
- Linux systems programming
- Microservices architecture
- Python
- Lua scripting
- Go
- Boost libraries
- RPC frameworks
- Kubernetes
- Docker
Location
- Australia (Sydney preferred)
- Remote
Work Type
- Full-time
- Flexible working arrangements
Experience Level
- Senior
Benefits
- Discounted Health plan rate and Optical Assistance
- Life assurance and income protection
- Option to buy additional Annual Leave days
- Employee Assistance Program
- Benefits for you and your family
- Access to learning and development resources
About the Company
- LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries.
- We're one of the largest information and analytics companies on the planet.
- We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.
- Lexisnexis Risk Solutions, a part of RELX, is a global leader in digital identity intelligence and fraud prevention.
- Our engineering teams build high-performance systems that process billions of transactions, helping organizations make trusted decisions in real time.
- Our team builds and maintains high-throughput, low-latency systems that process massive volumes of transactions in real time.
- Engineers in this team collaborate closely with data scientists, platform engineers, and product managers to deliver systems that power trusted decisioning at global scale.
- You will work with modern C++, NoSQL databases, message queues, and scripting layers, contributing to a platform deployed across multiple data centres — a mixture of on-premises clusters and cloud-based infrastructure — orchestrated via Kubernetes.
- At LexisNexis® Risk Solutions, our businesses span multiple industries providing customers with innovative technologies, information-based analytics, decisioning tools and data management services that provide market-specific solutions.
- Approximately 11,100 employees in offices throughout the world support our brands by serving customers in more than 180 countries.
- LexisNexis® Risk Solutions is part of RELX, a global provider of information and analytics for professional and business customers across industries.
Equal Opportunity
- We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
