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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer I (Java & Python) - **Company:** RELX Group - **Location:** Oxford, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Continuous Integration, Information Engineering, DevOps, Distributed Systems, Github, Information Extraction, IntelliJ IDEA, Spring Framework, Python (Programming Language), Scrum Methodology, Mockito, Microsoft Copilot, Software Deployment, Software Engineering, SQL Databases, Data Logging, Data Processing, Cloud Platform System, Test-Driven Development (TDD), Large Language Models, Spring-boot, AI Coding Agents, Backend, Git, Documentation System, Event Driven Architecture, Kubernetes, Atlassian Tools, Apache Kafka, Build Tools, Claude, Kibana, New Relic (SaaS), OpenSearch, Docker, Jenkins, Microservices - **Published:** October 20, 2026 - **Apply:** https://relx.wd3.myworkdayjobs.com/en-US/relx/details/Oxford-Nielsen-House/Senior-Software-Engineer-I--Java---Python-_R119299-2 ## About the Role To be successful in this role, you will demonstrate proficiency in some of our requirements, with a willingness to learn new ones as needed. · Demonstrate some proficiency in most of these technologies: Python, Java, Spring / Spring Boot, SQL, with a willingness to learn the others. · Demonstrate proficiency in distributed and event-driven solutions using Kafka and AWS cloud services. · Display experience with build tools, Git, and continuous integration (GitHub Actions / Jenkins) · Enjoy collaborating with team members to create innovative solutions. · Have experience of supporting and mentoring team members to share knowledge and upskill team members. · Show experience with alerting, monitoring, and logging tools (New Relic, OpenSearch / Kibana, Coralogix) · Have experience with a modern IDE (IntelliJ / VSCode) and proficiency in using the refactoring tools. · Be open to discussing and honing approaches for our team to improve our working practices. · Have some experience of test-driven development and mocking libraries (Jest, Mockito) · Be familiar with collaborative documentation tools (Jira and Confluence) · Be familiar with data-processing workflows and scalable backend architectures. · Have some real-world experience with Agile practices and execution (Scrum, Kanban) · Have some familiarity with how to design and develop for cloud environments (i.e., Docker, Kubernetes, AWS) · Familiar with AI coding tools (Copilot, Claude, Codex, antigravity) · Some experience with agentic software development is desired. · Wanting to learn or have experience with AI-based solutions. · Be eager to learn and grow your skills and experience. · Be aware of industry best practices and standards. ## Description The Submission and Editorial platform is at the heart of Elsevier's publishing ecosystem, supporting millions of interactions between researchers, editors, reviewers, and publishers every year. Our team provides the Document Intelligence capabilities that underpin the Submission product portfolio. Using a combination of data science models and LLMs, we transform complex, unstructured documents into structured, trusted, and reusable data, enabling our products and teams to understand submitted content and use that intelligence to create smarter experiences throughout the Submission and Editorial journey About the role: As a Senior Software Engineer on our team, you'll help build the Document Intelligence capabilities that enable Elsevier's Submission products to understand scientific content on a scale. You'll work on services that transform complex, unstructured manuscripts into structured, meaningful information and knowledge through document transformation, metadata extraction, content enrichment, and entity recognition. You'll help turn this intelligence into capabilities that power smarter submission and editorial experiences, from automating traditionally manual processes to enabling content discovery and new AI-driven features across the Submission portfolio. We combine AWS, event-driven architectures, microservices, data science, and AI/LLM capabilities to build reliable, secure, and highly scalable Document Intelligence services. You'll work at the intersection of software engineering, data engineering, and AI, solving challenging problems around understanding and processing millions of research documents within Elsevier's publishing ecosystem., * Designing, developing, and deploying applications in a cloud-hosted distributed system to build our next-generation product * Collaborating with business stakeholders to identify requirements and gather feedback in a fast-moving environment. * Providing input into architectural decisions to ensure stability and performance * Identifying and implementing enhancements to continually improve our delivery process * Partnering with cross-functional Agile and DevOps implementation teams * Taking ownership of services throughout their lifecycle, including architecture, implementation, deployment, observability, operational support, and continuous improvement.