Senior Software Engineer I (Java & Python)

Posted Yesterday
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House, MS, USA
In-Office
Senior level
Information Technology • Legal Tech • Analytics
The Role
Build and operate scalable document intelligence services for Elsevier’s scientific publishing platform. Develop cloud-hosted distributed systems using Java, Python, AWS, Kafka, microservices, data-processing workflows, and AI capabilities. Responsibilities include architecture, implementation, deployment, observability, operational support, continuous improvement, stakeholder collaboration, Agile delivery, mentoring, and transforming unstructured manuscripts into structured data through metadata extraction, enrichment, and entity recognition.
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 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 with a modern IDE such as IntelliJ or VSCode and 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, including Scrum or Kanban
  • Familiarity with cloud development using Docker, Kubernetes, and AWS
  • Familiarity with AI coding tools such as Copilot, Claude, Codex, or Antigravity
  • Experience with agentic software development
  • Experience or interest in AI-based solutions
  • Awareness of industry best practices and standards

RELX Compensation & Benefits Highlights

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

  • Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
  • Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
  • Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.

RELX Insights

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The Company
HQ: London
10,001 Employees
Year Founded: 1880

What We Do

RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.

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