Principal – Staff Software Engineers

🕒 il y a 10 jours

🏄 California, Texas, +1 états de plus – Distant

🏄 California – Remote 🤠 Texas – Remote ☕ Washington – Remote

⏰ Temps Plein

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🧑‍💻 Développeur Full-Stack

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Unstructured

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2022

🤖 Intelligence artificielle

☁️ SaaS

🏢 Entreprise

💰 €40 000 000 Series B - Unstructured Technologies en 2024-03

Artificial Intelligence • SaaS • Enterprise

Unstructured est une plateforme SaaS qui transforme les données non structurées complexes et désordonnées (documents, factures, newsletters, bases de données, etc. ) en données propres et structurées optimisées pour l'IA et l'analytique. La société offre des capacités de parsing, de segmentation, d'intégration, d'enrichissement et de pré-traitement, avec une sécurité intégrée, un accès basé sur les rôles et une maintenance continue des pipelines. Unstructured propose une interface utilisateur et des pipelines appelables par machine (MCP) et s'intègre avec les grands modèles de langage (OpenAI, Anthropic) et de nombreuses destinations de données via des connecteurs et des pipelines, ciblant les clients d'entreprise, y compris une large partie du Fortune 1000.

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.

🎯 Exigences

• Have 10+ 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.

🏖️ Avantages

• Medical, dental, and vision coverage effective the 1st of the month following your start date • Life and disability insurance • Unlimited PTO • Flexible parental leave • 401(k) with company match • Equity • $500 work from home stipend • $70/month internet reimbursement • Team/company offsites throughout the year