Senior Data Observability Engineer

539

Competitive salary & incentive pyy; benefits: pens...
Hybrid
Aws platform and infrastructure engineering
Terraform, flux, helm, and github actions
Kubernetes on aws including fargate
This role is within a premier research-intensive biopharmaceutical company focused on delivering innovative health solutions for people and animals

Job Summary

  • This role is within a premier research-intensive biopharmaceutical company focused on delivering innovative health solutions for people and animals.
  • You will design and operate core data observability capabilities to ensure enterprise data is reliable, measurable, and scalable across global platforms.
  • The position offers a hybrid working model, competitive salary, and extensive benefits including 5 weeks of annual leave and paid volunteering hours.

Matching Summary

This role is within a premier research-intensive biopharmaceutical company focused on delivering innovative health solutions for people and animals.

Salary

Competitive salary & incentive pay; Benefits: Pension, health insurance, 5 weeks annual leave, cafeteria tax-free benefits; Not specified

Skills & Requirements

Must-have

  • AWS platform and infrastructure engineering
  • Terraform, Flux, Helm, and GitHub Actions
  • Kubernetes on AWS including Fargate
  • Serverless patterns Lambda EventBridge Kinesis
  • Python and SQL for automation tooling
  • Infrastructure monitoring metrics logs tracing

Nice-to-have

  • Data observability tooling or frameworks experience
  • Apache Airflow deployment and DAG troubleshooting
  • Grafana Labs stack knowledge Loki Tempo
  • Policy-as-code security automation implementation
  • SRE practices SLOs SLIs incident response
  • Global Agile Scrum team collaboration

Key Requirements

  • Proven experience as an AWS platform engineer supporting data workloads
  • Strong Infrastructure-as-Code and GitOps skills with Terraform and Helm
  • Hands-on experience with Kubernetes on AWS and container deployments
  • Solid skills in Python and SQL for automation
  • Comfortable working in Agile/Scrum environments with cross-functional teams
  • BSc in IT Engineering Computer Science or related field preferred

Work Rights

Not specified

Tailored Resume

Cover Letter