Senior Data Observability Engineer

Laboratory Animal Management Association

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 involves shaping foundational capabilities to make enterprise data reliable, measurable, and scalable within a premier research-intensive biopharmaceutical company

Job Summary

  • This role involves shaping foundational capabilities to make enterprise data reliable, measurable, and scalable within a premier research-intensive biopharmaceutical company.
  • The successful candidate will design and operate core data observability capabilities while providing L3 production support as an engineering subject matter expert.
  • Employees enjoy competitive salary, incentive pay, 5 weeks annual leave, and a hybrid working model with flexible role patterns.

Matching Summary

This role involves shaping foundational capabilities to make enterprise data reliable, measurable, and scalable within a premier research-intensive biopharmaceutical company.

Salary

Competitive salary & incentive pay; Benefits: Pension health insurance 5 weeks annual leave 12 weeks parental contribution cafeteria 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 and 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
  • Hands-on Kubernetes on AWS experience
  • Solid Python and SQL skills
  • BSc in IT Engineering Computer Science or related field preferred

Work Rights

Not specified

Tailored Resume

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