Lead and contribute to highly available distributed platforms and pipelines for global data
Drive engineering best practices, code reviews, and cross-team collaboration to improve reliability
Partner with product managers, data science teams, and business units to deliver end-to-end data
Own or co-own reliability, observability, SLOs, capacity planning, and durable remediation goals.

🎯 Requirements

12+ years of software development experience in distributed systems, data warehouse or data
Deep experience building resilient large-scale services in AWS, Azure, or GCP.
Strong fundamentals in distributed systems architecture and database concepts.
Excellent technical communication and collaborative problem-solving skills.
Bonus: familiarity with data or ML orchestration systems.
BS, MS, or PhD in Computer Science or related field (or equivalent practical experience).

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