Infrastructure Data Engineer

You will lead infrastructure migration initiatives and build, maintain, deploy, and manage applications using infrastructure as code. You will improve large-scale data pipelines, establish infrastructure and data engineering best practices, enable developer self-service, reduce latency, mature local stack testing tools, and strengthen reliability and security through testing and contained attacks.

Responsibilities

• Migrate services from legacy infrastructure to the new infrastructure
• Build maintain deploy and manage applications and services using infrastructure as code
• Improve and optimize large-scale data pipelines
• Lead infrastructure and data engineering best practices
• Enable developers to self-serve infrastructure deployment monitoring and alerting
• Improve data pipeline performance for unique business needs
• Help engineers use the data pipeline effectively
• Mature local stack testing and validation tools
• Reduce latency for critical path applications
• Improve system reliability and security through testing and contained attacks

Requirements

• Senior-level infrastructure and data engineering experience
• Knowledge of core infrastructure fundamentals including security networking and access control
• Strong Kubernetes experience and knowledge of Kubernetes best practices
• Hands-on experience with Terraform ArgoCD GitHub Actions Docker Prometheus and Grafana
• Strong advocacy for infrastructure as code
• Experience with dbt or SQLMesh
• Experience with Airflow Dagster or Prefect
• Experience with PostgreSQL and ClickHouse
• Strong understanding of modern data pipelines and best practices