Software Engineer III

The Software Engineer will contribute within a cross-functional product team to build and enhance ScienceDirect 2 2 2 2s cloud-hosted web applications across backend (Java) and frontend(JavaScript/TypeScript) components.

Responsibilities

• Designing, developing, and deploying applications in a cloud-hosted distributed system to build our next-generation product
• Collaborating with product, UX and QA to clarify requirements and incorporate 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
• Exploring opportunities to use AI assisted and agentic tools (for example, code assistants, test generation or documentation agents) to improve development workflows, while following team guidelines and good engineering practices.

Requirements

• Demonstrate proficiency in most of these technologies: Java, Spring / Spring Boot, a JavaScript /TypeScript tool (React or equivalent), with a willingness to learn the others.
• Display experience with build tools, Git, and continuous integration (Terraform, GitHub Actions /Continuous Integration tools).
• Have some experience of supporting and mentoring team members to share knowledge and up-skill team members.
• Show some experience with alerting, monitoring, and logging tools (such as NewRelic, 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, Playwright)
• Be familiar with collaborative documentation tools (Jira and Confluence)
• Have some real-world experience of Agile practices and execution (Scrum, Kanban)
• Have some familiarity with how to design and develop for cloud environments (i.e. docker, Kubernetes, AWS)
• Have familiarity with, or a strong interest in learning about, AI-assisted and agentic tools (for example, code assistants, documentation or testing agents) and how they can support software development.
• Be open to safely experimenting with agentic AI tools, sharing learnings with the team, and helping to identify appropriate use cases that improve quality, speed or developer experience.
• Demonstrate eagerness to learn and grow skills and experience.