IT & Software

Systems Engineer I

Elsevier

London · Greater London · United Kingdom

Overview

In this entry-to-mid-level role, you will help ensure the reliability, scalability, and performance of production systems on AWS, partnering with software engineers and platform teams. You’ll build automation and infrastructure as code to improve deployment safety and observability. You’ll engage in incident response, capacity planning, and cost optimization while growing your cloud and DevOps expertise. This role offers mentorship and cross‑border collaboration within a trusted engineering team on reliable, world‑scale platforms.

Pay / Benefits
  • wellbeing initiatives
  • shared parental leave
  • study assistance
  • sabbaticals
  • flexible working hours
  • location-specific benefits
Responsibilities
  • Monitor and improve reliability, availability, and performance of production systems on AWS
  • Respond to incidents and 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
  • Write and maintain runbooks, docs, and operational procedures
  • Support CI/CD pipelines and improve deployment safety and velocity
Key requirements
  • 1–3 years of experience in Systems Engineering, DevOps, SRE, or similar
  • Hands-on experience with AWS services (EC2, S3, RDS, Lambda, CloudWatch, IAM)
  • Familiarity with IaC tools (Terraform, CloudFormation)
  • Working knowledge of Docker and Kubernetes
  • Scripting/programming experience (Python, Go, Bash)
  • Understanding of monitoring tools (Prometheus, Grafana, Datadog, CloudWatch)
  • Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions)
  • Experience with configuration management tools (Ansible, Chef, Puppet)
  • Exposure to SLO/SLI/error budget frameworks
  • Collaborative mindset
  • Problem-solving under incident pressure
  • Clear documentation and runbook writing
  • AWS (EC2, S3, RDS, Lambda, CloudWatch, IAM)
  • Terraform or CloudFormation
  • Docker and Kubernetes

Reference: WJ-747_30448023

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