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About the Role

As a Senior Java Engineer, you will play a pivotal role in designing and developing scalable backend systems and real-time data platforms. You will leverage your expertise in Java, distributed systems, and big data technologies to build and optimize services that process large-scale data streams and power critical fraud detection solutions.

Responsibilities

• Design and develop high-performance Java-based backend services and microservices
• Build and optimize real-time data pipelines using Apache Kafka
• Develop scalable data ingestion and processing systems for large datasets
• Collaborate with data engineers, data scientists, and product teams to deliver data-driven solutions
• Troubleshoot, optimize, 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

Requirements

• Strong proficiency in Java (Spring Boot or similar frameworks)
• Hands-on experience with Apache Kafka (producers, consumers, performance tuning)
• Experience working with big data technologies, such as Apache Hadoop, or Snowflake
• Solid understanding of distributed systems and microservices architecture
• Experience with SQL and NoSQL databases
• Familiarity with cloud platforms (AWS preferred)
• Strong problem-solving and debugging skills
• Ability to work in a fast-paced, collaborative environment

Skills

• Java
• Spring Boot
• Apache Kafka
• Big Data Technologies
• Apache Hadoop
• Snowflake
• Distributed Systems
• Microservices Architecture
• SQL
• NoSQL
• Cloud Platforms
• AWS

Location

• Australia (Sydney preferred)

Work Type

• Full-time
• Flexible working arrangements
• Remote

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 design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.
• ThreatMetrix, 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 Data Platform & Streaming team focuses on building and maintaining high-throughput, low-latency systems that handle massive volumes of data.
• Engineers in this team collaborate closely with data scientists, data engineers, and product managers to deliver real-time analytics and decisioning systems.
• You will work on cutting-edge technologies including Apache Kafka and large-scale data platforms such as Snowflake and Apache Hadoop to power next-generation fraud detection capabilities.
• RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
• Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.

Equal Opportunity

• We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
• 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.