Senior Software Engineer - Java & Python, AI for Docs

Elsevier Limited Company

Oxford

On-site

GBP 70,000 - 95,000

Full time

4 days ago
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Benefits offered by this job

Comprehensive Pension Plan
Generous vacation entitlement
Maternity, Paternity, Adoption and Fam
Personal Choice budget
Employee Assistance Program (global)

Job summary

Elsevier is seeking a Senior Software Engineer I (Java & Python) to help build the Document Intelligence capabilities powering the Submission and Editorial platform. You will design and deploy cloud-hosted services that transform unstructured manuscripts into structured data, enabling AI-driven features across the Submission portfolio.

You will work at the intersection of software engineering, data engineering, and AI, leveraging AWS, microservices, and modern tooling to deliver scalable,

Qualifications

  • Proficiency in Python/Java with Spring/Spring Boot and SQL.
  • Experience with distributed and event-driven systems (Kafka, AWS).
  • Familiarity with CI/CD tools (GitHub Actions/Jenkins).
  • Ability to collaborate with stakeholders in a fast-moving environment.
  • Experience mentoring and supporting team members.

Responsibilities

  • Design, develop, and deploy cloud-hosted distributed applications.
  • Collaborate with stakeholders to gather requirements and feedback.
  • Contribute to architecture decisions for performance and stability.
  • Enhance delivery processes and implement improvements.
  • Own services throughout their lifecycle (architecture, deployment, observability).

Skills

Python
Java
Spring Boot
SQL
Kafka
AWS

Tools

Git
GitHub Actions
Jenkins

Job description

Elsevier is seeking a Senior Software Engineer I (Java & Python) to help build the Document Intelligence capabilities powering the Submission and Editorial platform. You will design and deploy cloud-hosted services that transform unstructured manuscripts into structured data, enabling AI-driven features across the Submission portfolio.

You will work at the intersection of software engineering, data engineering, and AI, leveraging AWS, microservices, and modern tooling to deliver scalable,

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