Principal – Staff Software Engineers

🕒 3 dias atrás

🏄 California, Texas, +1 estados a mais – Remoto

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

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Unstructured

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2022

🤖 Inteligência Artificial

☁️ SaaS

🏢 Corporativo

💰 $40.000.000 Series B - Unstructured Technologies em 2024-03

Artificial Intelligence • SaaS • Enterprise

Unstructured é uma plataforma SaaS que transforma dados não estruturados complexos e desordenados (documentos, faturas, boletins, bancos de dados, etc. ) em dados limpos e estruturados, otimizados para IA e análises. A empresa oferece funcionalidades de análise, divisão, incorporação, enriquecimento e pré-processamento, com segurança integrada, acesso baseado em funções e manutenção contínua de pipeline. Unstructured fornece uma interface de usuário e pipelines acionáveis por máquinas (MCP) e se integra com principais LLMs (OpenAI, Anthropic) e vários destinos de dados por meio de conectores e pipelines, atendendo clientes corporativos, incluindo uma grande parte do Fortune 1000.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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