Staff Engineer - Data Reliability Engineering (REMOTE)

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Requirements:

• Expertise in designing and managing large-scale distributed data systems.
• Strong knowledge of modern data platforms (e.g., Snowflake, Spark, Datalake, Kafka).
• Hands-on experience with major cloud platforms (AWS, GCP, Azure).
• Proficiency in programming and scripting (Python, Java, Scala, Go).
• In-depth knowledge of CI/CD practices, containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Ansible).

Responsibilities:

• Lead the design and implementation of large-scale, fault-tolerant, and highly available data platforms.
• Architect and develop end-to-end data pipelines that ensure reliability, scalability, and performance of data processing systems.
• Drive best practices for data reliability, disaster recovery, monitoring, alerting, and incident management.
• Collaborate with cross-functional teams (data engineering, DevOps, SREs) to integrate, test, and improve platform reliability and performance.
• Mentor and guide engineers across the organization.