Senior Software Engineer I (Java & Python)

Posted Yesterday
Be an Early Applicant
House, MS, USA
In-Office
Senior level
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
The Role
Develop and deploy scalable document intelligence services that transform scientific manuscripts into structured data using distributed systems, microservices, event-driven architecture, AWS, data science, and AI/LLM capabilities. Responsibilities include architecture, implementation, deployment, observability, operational support, continuous improvement, stakeholder collaboration, Agile and DevOps practices, mentoring, and improving automated content processing and editorial experiences.
Summary Generated by Built In

                         Senior Software Engineer I (Java & Python)


Would you like to help create products to support the sharing of scientific knowledge?

Do you enjoy collaborating to solve complex technical problems?

 

About the team:  


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.


 Key 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
  • Taking ownership of services throughout their lifecycle, including architecture, implementation, deployment, observability, operational support, and continuous improvement.

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: 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.

Why Join Us?


Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.


Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your 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 most productive.

 

Working for you


We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:


  • Comprehensive Pension Plan
  • Generous vacation entitlement and option for sabbatical leave
  • Maternity, Paternity, Adoption and Family Care leave
  • Personal Choice budget
  • Internal communities and networks
  • Various employee discounts
  • Recruitment introduction reward
  • Employee Assistance Program (global)

About the business-


 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 grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

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.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.

Skills Required

  • Proficiency in most of Python, Java, Spring or Spring Boot, and SQL
  • Experience with distributed and event-driven solutions using Kafka and AWS cloud services
  • Experience with build tools, Git, and continuous integration using GitHub Actions or Jenkins
  • Experience supporting and mentoring team members
  • Experience with alerting, monitoring, and logging tools such as New Relic, OpenSearch, Kibana, or Coralogix
  • Experience using a modern IDE such as IntelliJ or VSCode, including refactoring tools
  • Experience with test-driven development and mocking libraries such as Jest or Mockito
  • Familiarity with Jira and Confluence
  • Familiarity with data-processing workflows and scalable backend architectures
  • Real-world experience with Agile practices such as Scrum or Kanban
  • Familiarity with cloud development using Docker, Kubernetes, or AWS
  • Familiarity with AI coding tools such as Copilot, Claude, Codex, or Antigravity
  • Experience with or willingness to learn AI-based solutions
  • Experience with agentic software development
  • Awareness of industry best practices and standards

Elsevier Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Elsevier and has not been reviewed or approved by Elsevier.

  • Leave & Time Off Breadth — Feedback suggests paid time off spans vacation, holidays, sick days, bereavement, military leave, and volunteer time. Family-related leave options are also emphasized as part of the package.
  • Healthcare Strength — Feedback suggests medical, dental, vision, life insurance, wellness initiatives, and an EAP form a comprehensive health offering. Gym support and wellbeing hubs reinforce an ongoing health and wellness focus.
  • Retirement Support — Feedback suggests retirement programs include a 401(k)/retirement plan and pension options, with long-term savings vehicles such as an employee stock purchase plan also available. These elements contribute to a sense of financial security beyond base pay.

Elsevier Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Amsterdam
Year Founded: 1880

What We Do

Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care. Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems. Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.

Similar Jobs

RELX Logo RELX

Senior Software Engineer

Information Technology • Legal Tech • Analytics
In-Office
House, MS, USA
10001 Employees

Luxury Presence Logo Luxury Presence

Product Manager

Marketing Tech • Real Estate • Software • PropTech • SEO
Easy Apply
Remote or Hybrid
United States
500 Employees
170K-200K Annually

Hex Logo Hex

Revenue Systems

Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Remote or Hybrid
United States
160 Employees
126K-158K Annually

Nexthink Logo Nexthink

Corporate Controller

Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Software
Remote or Hybrid
United States
1200 Employees
245K-290K Annually

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account