Senior Software Engineer II - Data Engineering

We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and helping evolve our engineering practices.,

• Lead architectural design and ensure technical consistency.
• Design, develop, and maintain generative AI services and reusable components using Python.
• Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD.
• Contribute to system designs spanning multiple services and modules, aligning with architectural best practices.
• Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities.
• Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications.
• Lead the resolution of complex technical challenges across distributed systems.
• Mentor less-senior developers on engineering principles, GenAI patterns, and platform development.
• Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability.
• Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems.
  
  5+ years of software engineering experience.
• Proven experience leading technical architecture for large-scale platforms or services.
• Solid understanding of software development methodologies and data modelling principles.
• Deep expertise in Python (or failing that, Java).
• Strong proficiency in backend development and familiarity with modern AI/LLM
tools and frameworks (e.g., LangChain, LangGraph).
• Strong experience with Kubernetes (EKS) and cloud-native architectures.
• Proven record of building scalable backend systems and APIs.
• Experience mentoring engineers and contributing to architectural decisions.
• Ability to work collaboratively across functions in an Agile or Kanban environment.
Nice to have:
• Experience operationalizing LLMs or building an internal AI platform.
• Familiarity with observability practices (metrics, logging, alerts).
• Exposure to knowledge graphs or semantic search systems.
  
  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 promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, 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 the 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
• Flexible working hours
• Personal Choice budget
• Internal communities and networks
• Various employee discounts
• Recruitment introduction reward
• Employee Assistance Program (global)