Systems Engineer I

Are you passionate about building reliable cloud infrastructure and automating systems that power products used around the world?

Do you enjoy solving operational challenges, improving observability, and collaborating with engineers to deliver resilient, scalable platforms?

About our Team

Join a collaborative and supportive engineering team powering Scopus, working closely with colleagues across the Netherlands, London, and India. We are passionate about reliability, automation, and cloud technologies, and we provide a strong mentorship environment where early-career engineers can learn, grow, and build rewarding long-term careers., Elsevier is looking for a Systems Engineer I to join our TIO team. In this role, you’ll help ensure the reliability, scalability, and performance of the systems that power Elsevier’s products, working closely with software engineers, platform teams, and other systems engineers. This is an entry-to-mid-level position, ideal for engineers early in their career who want to grow their skills in cloud infrastructure, automation, and operational excellence., * Monitor, maintain, and improve the reliability, availability, and performance of production systems running on AWS

• Respond to incidents and help drive root cause analysis and postmortems
• Build and maintain automation for deployment, monitoring, and infrastructure management (Infrastructure as Code)
• Collaborate with development teams to improve system observability (logging, metrics, tracing, alerting)
• Contribute to capacity planning, performance tuning, and cost optimization efforts
• Write and maintain runbooks, documentation, and operational procedures
• Support CI/CD pipelines and help improve deployment safety and velocity

• 1-3 years of experience in a Systems Engineering, DevOps, Site Reliability Engineering, or similar role
• Hands-on experience with AWS services (e.g., EC2, S3, RDS, Lambda, CloudWatch, IAM)
• Familiarity with Infrastructure as Code tools (Terraform, CloudFormation, or similar)
• Working knowledge of containerization and orchestration (Docker, Kubernetes)
• Scripting/programming experience in one or more languages (Python, Go, Bash, etc.)
• Understanding of monitoring/observability tools (e.g., Prometheus, Grafana, Datadog, CloudWatch)
• Familiarity with CI/CD tools and practices (Jenkins, GitLab CI, GitHub Actions, etc.)
• Experience with configuration management tools (Ansible, Chef, Puppet)
• Exposure to SLO/SLI/error budget frameworks

We promote a healthy work/life balance across the organisation. 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 Pattern

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.

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.