Senior Data Observability Engineer

mnssazn.top

Base: competitive salary; bonus/equity: incentive ...
Hybrid
Aws platform and infrastructure engineering
Infrastructure-as-code with terraform and gitops
Kubernetes on aws including fargate
As a Senior Data Observability Engineer, you will help shape foundational capabilities to make enterprise data reliable, measurable, and scalable within a global team

Job Summary

  • As a Senior Data Observability Engineer, you will help shape foundational capabilities to make enterprise data reliable, measurable, and scalable within a global team.
  • The role offers exciting work in a great team on global projects with a hybrid working model and competitive salary plus benefits including pension, health insurance, and flexible tax-free benefits.
  • You will participate in all phases of software development lifecycle, provide L3 production support, and optimize cloud infrastructure costs and performance.

Matching Summary

As a Senior Data Observability Engineer, you will help shape foundational capabilities to make enterprise data reliable, measurable, and scalable within a global team.

Salary

Base: Competitive salary; Bonus/Equity: Incentive pay; Benefits: Pension, health insurance, tax-free cafeteria benefits

Skills & Requirements

Must-have

  • AWS platform and infrastructure engineering
  • Infrastructure-as-Code with Terraform and GitOps
  • Kubernetes on AWS including Fargate
  • Serverless AWS services Lambda and EventBridge
  • Data pipeline observability and monitoring
  • Python and SQL automation skills
  • Agile/Scrum global team collaboration

Nice-to-have

  • Data observability tooling experience
  • Apache Airflow deployment and troubleshooting
  • Grafana Labs observability ecosystem knowledge
  • Policy-as-code and security automation
  • Site Reliability Engineering practices

Key Requirements

  • Proven AWS platform/infrastructure engineering experience
  • Hands-on Terraform, Flux, Helm, GitHub skills
  • Experience designing IAM roles and VPC network configurations
  • Practical Kubernetes and container deployment experience
  • Experience with serverless AWS services and data storage
  • Strong Python and SQL skills for automation
  • Comfortable in Agile/Scrum environments

Work Rights

Not specified

Tailored Resume

Cover Letter