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.
Responsibilities
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
Requirements
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; Java, Python, Spring Boot, with a willingness to learn the others.
Display some experience with version control system (i.e. Git)
Enjoy collaborating with team members to create innovative solutions
Have experience with a modern IDE (IntelliJ / VS Code) and proficiency in using refactoring tools
Be open to discussing and honing approaches for our team to improve our working practices
Have some experience with test-driven development and mocking libraries (Jest, Mockito)
Be familiar with collaborative documentation tools (Jira and Confluence)
Have some real knowledge of Agile practices and execution (Scrum, Kanban)
Some familiarity with AI coding tools (GitHub Copilot, Claude, Codex, Antigravity) is desirable.
Wanting to learn about Agentic software development
Wanting to learn about distributed and event-driven solutions using Kafka and AWS cloud services
Be eager to grow your skills and experience
Work in a way that works for you: -
We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you: -
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
Group Health Insurance Policy (covering self and family)
Group Life insurance/accident policy
Generous long-service awards
New Baby gift
Subsidized food provided (applies to India- Chennai)
Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave
Free Transport provided to and from the office (applies to India-Chennai)
About Us: -
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s .
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- We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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