Jobs at RELX

Develop and support Salesforce CRM solutions for global sales and business teams. Responsibilities include real-time user support, business analysis, requirements gathering, integrations monitoring and troubleshooting, documentation, UAT support, process improvement, and Salesforce development. The role serves as a business-facing Salesforce subject matter expert and ensures a stable, scalable, reliable, and user-focused platform aligned with Sales and Marketing objectives.

Lead and execute automation, manual, API, functional, regression, and performance testing. Design, develop, and maintain end-to-end automated tests and test environments. Analyze results, track defects, perform root cause analysis, collaborate with cross-functional teams, and drive continuous improvement of QA processes and tools.

Design, build, and deploy secure Salesforce Sales Cloud and Service Cloud solutions. Develop LWC/Aura components, Apex classes/triggers/batch jobs, Flows, and integrations (REST/SOAP/Platform Events). Manage data migration, CI/CD with GitHub Actions, and ensure platform security and governance while collaborating with stakeholders in Agile teams.

Build and maintain scalable full-stack web applications with React and Python, including RESTful APIs and FastAPI backend services. Collaborate with product, design, and engineering teams on architecture, technical designs, code reviews, testing, and production support. Develop secure, reliable software while exploring Generative AI technologies and following modern cloud, CI/CD, Docker, and Agile practices.

Design, develop, test, and troubleshoot Java-based microservices using Spring Boot, Hibernate, and Cosmos DB. Work with Docker/Kubernetes, CI/CD and Azure, participate in code reviews, performance optimization, and collaborate across Agile teams.

Develop, design, and maintain backend services within a squad. Translate requirements into code, perform unit testing, troubleshoot and optimize performance, participate in code reviews, and support cloud-native deployments using containerization, orchestration, CI/CD, and distributed system patterns.

Lead automation and manual testing within a scrum team: design and implement automation frameworks, create test scenarios, achieve high automation coverage for web and service products, manage CI/CD test pipelines, maintain frameworks, and ensure timely delivery of high-quality software.

Senior QA Test Engineer responsible for owning test automation strategy and execution across API, app, and UI layers. Develop and maintain automated tests, identify and document defects, collaborate with engineering/product/UX, and ensure security-focused testing including OWASP risks. Participate in planning and daily stand-ups.

Monitor Elsevier.com for content quality and governance compliance. Review page structure, metadata, and audience alignment; identify and track outdated, duplicate, or non-compliant content; maintain documentation; support content lifecycle actions and stakeholder remediation to improve user journeys.

Lead and enforce global change and configuration management processes, drive process improvements, test service management tools, manage CAB, develop policy enhancements, deliver training, and provide analytical support for system interfaces.

Design and deliver scalable, secure, multi-tenant distributed systems; own end-to-end delivery, ensure reliability and testing, translate business needs into solutions, mentor engineers, and collaborate with product and stakeholders.

Senior hands-on technical leader responsible for domain architecture and technical direction across multiple teams. Ensures secure, reliable, cost-effective AWS solutions, drives platform and architectural improvements, mentors engineers, leads incident response and operational excellence, and shapes long-term domain roadmap and standards.

Lead functional, automated, and performance testing for a large-scale data platform. Develop test strategies, automation, and performance solutions; validate data quality and formats; test microservices, event-driven systems, and distributed processing; collaborate across Product, Engineering, and Ops to ensure reliability and continuous improvement.

Label and validate datasets (documents, images, video, audio) for document fraud, deepfake, PAD, and face recognition. Create bounding boxes, landmarks, time-based frame labels, and flag tampering. Document edge cases, review peer annotations, ensure quality standards, and collaborate with ML engineers to improve datasets and tools.

Design, develop and deploy cloud-hosted distributed systems for ingesting, processing, storing and serving structured and unstructured data. Collaborate with stakeholders, influence architecture and improve delivery using Agile and DevOps practices to enable data discovery, analytics and AI-driven insights.

Support Data Scientists and Product Owners by preparing and analysing large datasets using tools like Databricks and Snowflake. Produce metrics (precision/recall), create datapreps, surface insights via dashboards, and communicate findings to stakeholders while following Agile practices.

Deliver complex analytics using Databricks, Snowflake, SQL, and Python to analyze large datasets, validate data products, assess model precision/recall, and present actionable insights to Product Owners and Data Scientists. Support data preparation, quality assurance, stakeholder communication, and continuous improvement of data products.

Lead design and implementation of large-scale batch and streaming data systems, build scalable data workflows and microservices (Spark, Kafka Streams, Kubernetes), write modular Scala code, mentor engineers, participate in architecture and design reviews, develop data models and knowledge-graph solutions, and implement observability and CI/CD best practices across the data platform.

Build and maintain scalable Power BI dashboards, reports, and data models; perform ad hoc and KPI analysis; automate reporting with Power Automate/Power Apps; collaborate with data engineering to ensure data quality and integration from Azure/Databricks; manage Power BI administration, governance, and multi-market reporting support.

Design, develop, and maintain cross-system software; act as technical lead for customers and external teams; produce specifications, fix complex bugs, mentor peers, and drive architecture, security, and DevOps for Java/AWS-based products.