Software Engineering Lead

Elsevier•Philadelphia, PA

3d•$115,400 - $192,300

About The Position

Are you a collaborative Software Engineering Lead looking to work for a mission driven global organization? About the role - As Engineering Lead—You will lead and manage a small team of engineers, fostering their growth and ensuring delivery excellence. You will be entrusted with making sure your team is set up for success as they deliver products. This position serves as a subject matter expert for a specific team of Software Engineers. In addition to writing code on complex systems and applications, this position provides direction on project plans, schedules, and methodologies. About the team, This team supports CK AI Service team. The new Lead Engineer will have six direct reports and will own the technical strategy and execution for the CK AI Service, including the design and governance of retrieval-augmented generation (RAG) workflows and API expansion. This role will improve delivery velocity, reduce bottlenecks and single points of failure, drive standardization, mentoring, and cross-functional alignment as the platform matures, and establish a sustainable leadership model to support the planned division and growth of the team. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work. They provide online platforms like ScienceDirect, Scopus, and Mendeley, which offer access to a vast repository of scholarly articles, research papers, and other scientific content. These platforms often serve as essential resources for software developers seeking to stay updated with the latest scientific advancements. Furthermore, Elsevier offers tools and services to help researchers with tasks such as data management, article submission, and citation tracking. They also provide metrics and analytics to assess the impact and reach of scientific publications. Additionally, Elsevier hosts conferences and events to facilitate knowledge sharing and collaboration within the scientific community. Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most. We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all. With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier. Elsevier is part of RELX Group. Let’s shape progress together. Join us. elsevier.com/about/careers

Requirements

Proven ability to lead, mentor, and grow engineering teams, including managing performance, career development, and team health
Established track record of creating high-performing, collaborative team environments and reducing knowledge silos
Ability to remove blockers, manage priorities, and improve delivery velocity across a team
Experience establishing scalable team structures and leadership models to support growth
Deep expertise in designing and delivering distributed systems and APIs at scale
Ability to define and execute technical strategies, balancing short-term delivery with long-term platform sustainability
Experience with microservices architecture, API design, and system integration
Proven ability to identify and eliminate single points of failure and improve system resilience
Hands-on experience designing and implementing retrieval-augmented generation (RAG) workflows
Understanding of: LLM integration and orchestration Embeddings and vector search Retrieval pipelines and ranking strategies
Experience building AI-powered APIs and services for production environments
Ability to govern and standardize AI patterns, including evaluation, observability, and performance optimization

Responsibilities

Managing and mentoring of six direct reports.
Driving and owning the technical strategy and execution for the CK AI Service, including the design and governance of retrieval-augmented generation (RAG) workflows and API expansion.
Improving the delivery velocity, reducing bottlenecks and single points of failure, driving standardization, mentoring, and cross-functional alignment as the platform matures
Establishing a sustainable leadership model to support the planned division and growth of the team.
Collaborating with our Data Science team to help drive product road map and feature design forward.

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