Senior Software Engineer – Opensearch

🕒 5 days ago

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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

• Design and implement large-scale OpenSearch clusters capable of handling petabytes of data with low-latency indexing and query performance. • Deeply integrate OpenSearch with CDP components (e.g., Apache Iceberg, SDX, and Ozone) to provide a unified search experience across the data lakehouse. • Optimize JVM settings, shard allocation strategies, and query DSL to ensure maximum throughput and stability. • Implement enterprise-grade security including RBAC, TLS, and audit logging, ensuring compliance with Cloudera’s Shared Data Experience (SDX) standards. • Develop and maintain Kubernetes Operators and Helm charts for automated deployment, scaling, and self-healing of search services. • Act as a liaison to the upstream OpenSearch community, contributing bug fixes, features, and performance improvements.

🎯 Requirements

• 5+ years of experience working with OpenSearch or Elasticsearch in a production environment at scale. • Strong understanding of distributed system concepts (Consensus algorithms, CAP theorem, replication, and sharding). • Proficiency in Java (core OpenSearch development) and/or Go/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). • Familiarity with the Hadoop ecosystem or modern equivalents like Spark, Flink, and Hive is a major plus.

🏖️ 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