Cloud Systems Engineer I — AWS, Automation & Observability

RX Brasil

Greater London

On-site

GBP 35,000 - 58,000

Full time

3 days ago
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Job summary

Elsevier is seeking a Systems Engineer I to join our TIO team. You will help ensure the reliability, scalability, and performance of production systems on AWS, collaborating with software engineers and platform teams.

Ideal for early-career engineers aiming to grow in cloud infrastructure, automation, and operational excellence. This entry-to-mid-level role emphasizes hands-on cloud work, infra as code, and observability.

Qualifications

  • 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

Responsibilities

  • 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

Skills

AWS
Terraform
Docker
Kubernetes
Python
CI/CD
Monitoring
SRE

Tools

Terraform
CloudFormation
Docker
Kubernetes
Prometheus
Grafana
Datadog
CloudWatch
Jenkins
GitLab CI
GitHub Actions
Ansible
Chef
Puppet

Job description

Elsevier is seeking a Systems Engineer I to join our TIO team. You will help ensure the reliability, scalability, and performance of production systems on AWS, collaborating with software engineers and platform teams.

Ideal for early-career engineers aiming to grow in cloud infrastructure, automation, and operational excellence. This entry-to-mid-level role emphasizes hands-on cloud work, infra as code, and observability.

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