Principal MTS– Distributed Data Platform

Requirements

• ~15 years of experience building large-scale distributed systems, infrastructure, or data platforms
• Experience operating at Staff+ or Principal level, leading complex, cross-team technical initiatives
• Strong fundamentals in distributed systems (scalability, fault tolerance, data consistency, performance)
• Experience with high-scale streaming systems, event-driven architectures, or real-time data processing
• Hands-on experience building platform services that support both real-time and offline workloads
• Proficiency in systems programming (e.g., Java, Python, Go) with the ability to go deep when needed
• Experience running production systems with a strong focus on reliability, observability, and operational excellence
• Familiarity with automation or AI-assisted systems (e.g., agentic workflows, intelligent tooling) and sound judgment on where they add value
• Strong communication and ability to influence across a broad engineering organization

What You'll Be Doing

• Define and drive architecture for a distributed data platform supporting real-time, streaming, and batch workloads
• Lead design of core platform capabilities such as data lifecycle management, metadata systems, orchestration, and developer-facing APIs
• Build systems that improve data reliability, consistency, discoverability, and ease of use across diverse internal consumers
• Drive platform scalability, performance, and cost efficiency across high-throughput, low-latency systems
• Introduce automation and AI-assisted workflows to reduce operational overhead and improve system resilience
• Establish strong operational foundations: observability, SLOs, failure handling, and production excellence
• Partner with engineering teams across the company to influence adoption, standardization, and platform evolution
• Mentor senior engineers and contribute to raising engineering and architectural standards

Nice to Haves

• Experience in automation or AI-assisted systems (e.g., agentic workflows, intelligent tooling)