Senior Software Engineer I (Java & Python)

In this role, you will help build document intelligence capabilities to understand scientific content at scale. You will work on cloud-native services that transform manuscripts into structured data, enabling smarter submission and editorial experiences. You collaborate with cross-functional teams to drive architecture, delivery, and observability, aligning with a culture of innovation. This is a hands-on role at the intersection of software, data engineering, and AI/LLM, with impact on the Submission portfolio. You will contribute to scalable, reliable systems that power AI-driven features across publishing workflows.

• Comprehensive Pension Plan
• Generous vacation entitlement and sabbatical option
• Maternity, Paternity, Adoption and Family Care leave
• Personal Choice budget
• Internal communities and networks
• Employee discounts

• Design, develop, and deploy cloud-hosted distributed applications for the next-generation product
• Collaborate with business stakeholders to gather requirements in a fast-moving environment
• Influence architecture to ensure stability and performance
• Improve delivery processes through iterative enhancements
• Partner with cross-functional Agile and DevOps teams
• Own services across their lifecycle including architecture, deployment, observability, and ongoing improvement

• Proficiency in Python and Java, with Spring / Spring Boot, SQL; willingness to learn other tech
• Experience with distributed/event-driven architectures using Kafka and AWS
• Experience with build tools, Git, and CI (GitHub Actions / Jenkins)
• Team-oriented with ability to mentor others and share knowledge
• Experience with monitoring/logging tools (New Relic, OpenSearch / Kibana, Coralogix)
• Familiarity with IDEs (IntelliJ / VSCode) and refactoring tools
• Exposure to TDD and mocking libraries (Jest, Mockito)
• Familiarity with Jira and Confluence; understanding of data-processing workflows and scalable backends
• Experience with Agile practices (Scrum, Kanban) and cloud-oriented design (Docker, Kubernetes)
• Awareness of AI coding tools (Copilot, Claude, Codex) and interest in AI-based solutions

• Collaborative mindset
• Mentorship and knowledge sharing
• Willingness to learn and adapt
• Python
• Java
• Spring / Spring Boot