Staff Software Engineer – Cloudera Context Search

🕒 il y a 22 jours

🗣️🇺🇸🇬🇧 Anglais requis

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Cloudera

1001 - 5000 employés

Fondée en 2008

🏢 Entreprise

☁️ SaaS

🤖 Intelligence artificielle

💰 €4 099 999 Venture Round en 2013-01

Enterprise • SaaS • Artificial Intelligence

Cloudera est une entreprise de cloud de données d'entreprise de premier plan qui permet aux entreprises de gérer et d'analyser des données dans n'importe quel environnement. Offrant une plateforme de données hybride, Cloudera facilite les architectures de données modernes avec des solutions telles que le data lakehouse ouvert, le data mesh évolutif et le tissu de données unifié, conçues pour l'intelligence artificielle, l'ingénierie des données et l'apprentissage automatique. Les principales industries servies incluent les services financiers, les télécommunications, la santé, et plus encore, où la plateforme de Cloudera permet une gestion des données sécurisée, évolutive et efficace. En exploitant l'IA et des analyses avancées à grande échelle, Cloudera aide les organisations à transformer leurs données en informations exploitables.

Description

• Drive the multi-quarter technical roadmap and design large-scale OpenSearch clusters • Deeply integrate OpenSearch with CDP components to provide a unified search experience • Lead efforts to optimize JVM settings, shard allocation strategies, and query DSL • Oversee the development of Kubernetes Operators and Helm charts for automated deployment, scaling, and self-healing of search services • Define and champion best practices for security, observability, and enterprise-grade reliability • Mentor senior and junior engineers on complex technical designs • Act as a primary liaison and influencer within the upstream OpenSearch community

🎯 Exigences

• Bachelor’s degree in Computer Science or equivalent, and 6+ years of experience; OR Master’s degree and 4-6 years of experience; OR PhD and 2-4 years of experience • 6+ years of experience working with OpenSearch or Elasticsearch in production environments at scale. • Deep understanding of consensus algorithms, CAP theorem, replication, and sharding. • Mastery of Java (for core development) and proficiency in Go or Python for automation and tooling. • Extensive experience with Kubernetes (K8s) and container orchestration. • Hands-on experience deploying search workloads on AWS (EKS/AOSS), Azure (AKS), or Google Cloud (GKE).

🏖️ Avantages

• Generous PTO Policy • Support work life balance with Unplugged Days • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Comprehensive Benefits and Competitive Packages • Paid Volunteer Time • Employee Resource Groups

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