Staff Software Engineer – Cloudera Context Search

🕒 May 15

🏄 California, Texas, +2 more states – Remote

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

💵 $184k - $230k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

Enterprise • SaaS • Artificial Intelligence

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 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

🎯 Requirements

• 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).

🏖️ Benefits

• 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