As a Senior Data Observability Engineer, you will help shape foundational capabilities to make enterprise data reliable, measurable, and scalable while working with 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 while working with a global team.
The role includes building and operating core data observability solutions, providing L3 production support, and collaborating in Agile/Scrum teams on global projects.
Mayoly offers a hybrid working model, competitive salary and incentives, pension and health contributions, 5 weeks annual leave, and various employee benefits including tax-free cafeteria options and wellness facilities.
Matching Summary
As a Senior Data Observability Engineer, you will help shape foundational capabilities to make enterprise data reliable, measurable, and scalable while working with a global team.
Skills & Requirements
Must-have
AWS platform/infrastructure engineering
Infrastructure-as-Code with Terraform and GitOps
Kubernetes on AWS including Fargate
Serverless AWS services Lambda and EventBridge
Data observability metrics 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 stack knowledge
Policy-as-code and security automation
Site Reliability Engineering practices
Cloud cost optimization techniques
Key Requirements
Proven AWS infrastructure engineering experience
Strong Terraform and GitOps expertise
Experience with Kubernetes and serverless AWS services
Python and SQL proficiency
Experience supporting data workloads in production