Manager Software Engineering

Engineering Manager

Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our semantic data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences. We lead the ongoing transformation of Elsevier's vast, unstructured information into richly interconnected knowledge graphs that capture the full depth and nuance of scientific meaning. Through our dynamic knowledge discovery layer, we combine graph-powered agentic AI with advanced vector search to deliver contextually relevant, trustworthy, and precise answers.

As an Engineering Manager, you will lead a high-performing team of software engineers in building and evolving the core components of Elsevier's semantic data platform. You will play a pivotal role in shaping the technical direction, fostering a culture of excellence, and ensuring the successful delivery of scalable, high-quality solutions that support knowledge discovery across the scientific and healthcare domains.

You will collaborate closely with cross-functional teams, including product managers, architects, and global stakeholders, to translate complex business needs into innovative technical solutions. This role is ideal for a strategic thinker with a passion for mentoring, technical leadership, and driving impactful change.

Responsibilities:

• Lead and manage agile squads to deliver robust, scalable software solutions aligned with business goals.
• Provide technical guidance and mentorship to team members, supporting their growth and development.
• Drive continuous improvement in development processes, tools, and methodologies.
• Collaborate with product and architecture teams to design and implement core platform components.
• Ensure timely and high-quality delivery of projects, managing resources and priorities effectively.
• Promote a culture of innovation, accountability, and inclusivity within the team.
• Stay current with industry trends and emerging technologies, especially in AI-driven development.
• Oversee performance management, hiring, coaching, and resource planning.
• Ensure compliance with healthcare software standards, including auditing and regulatory requirements.

Requirements:

• 10+ years of experience in software development, with at least 2 years in a leadership role.
• Proven track record of managing global development teams and delivering complex projects.
• Strong technical expertise in SMART on FHIR, AWS, Java, React, Postgres, CI/CD, Docker, Terraform, and New Relic.
• Experience in healthcare software development and regulatory compliance.
• Excellent project planning, budgeting, and change management skills.
• Strong problem-solving abilities and decision-making skills.
• Exceptional communication and interpersonal skills, with the ability to engage diverse audiences.
• Passion for fostering inclusive teams and embracing emerging technologies.

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.

This is a hybrid role. Our teams operate in a flexible hybrid work model, combining in-person collaboration with remote flexibility. You'll be expected to participate in regular team meetings and engineering rituals in line with your team's cadence.

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:

• Private Medical/Dental Plan
• Savings Fund
• Life Insurance
• Meal/Grocery Voucher

At Elsevier, you'll work on systems that underpin some of the world's most critical research and innovation workflows. Our products and platforms are used by scientists, clinicians, and experts in over 180 countries — and you'll be part of the team responsible for building the data infrastructure that powers them.

You'll be supported by a culture that values engineering quality, autonomy, and deep technical exploration. We are actively transforming legacy systems and pioneering modern approaches to data and knowledge representation at scale.

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