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Distinguished Engineer
Job Description: • Define and evolve the end-to-end architecture for Unstructured’s data transformation and retrieval platform. • Build and scale distributed systems that process massive volumes of unstructured data across diverse formats and sources. • Serve as the company-wide authority on Kubernetes orchestration, cluster design, performance tuning, and reliability. • Lead Python architecture and best practices—ensuring performance, modularity, and maintainability across services. • Design and optimize Postgres schemas, queries, and indexing strategies to support large-scale metadata and retrieval pipelines. • Mentor senior engineers through design reviews and code guidance, raising the bar for technical excellence across the org. • Partner with the infrastructure and product teams to translate research prototypes into production-grade systems. • Evaluate emerging technologies and open-source tools in LLM infrastructure, retrieval, and orchestration—deciding where and how to integrate them. Requirements: • Have 15+ years of software engineering experience with a focus on distributed systems, infrastructure, or data architecture. • Are a Python expert—capable of building frameworks and performance-critical services from scratch. • Have deep Kubernetes expertise; you can design, deploy, and debug at scale and could teach others how to productionize it securely. • Are fluent in Postgres—you understand query planning, partitioning, and tuning for high-throughput environments. • Are obsessed with clean, scalable architecture and can lead design reviews that shape how entire systems evolve. • Have experience in high-performance data or AI/ML systems—especially those involving retrieval pipelines, embeddings, or hybrid workloads. • Thrive in fast-moving, ambiguous environments where technical depth and judgment matter more than process. Benefits: • Competitive salary + equity + full benefits package Apply tot his job
