Senior Software Engineer Cloudera Context Search Team

About the role

The Data Platform Pillar is the bedrock of Cloudera's technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance. As a Senior Engineer on the Cloudera Context Search Team, you will be a key architect and contributor to the search heartbeat of the Cloudera Data Platform.

Responsibilities

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

Requirements

• Bachelor's degree in Computer Science or equivalent and 5-6 years of related experience; OR Master's degree and 3-5 years of related experience; OR PhD and 0-3 years of related experience
• Search Expertise: 5+ years of experience working with OpenSearch or Elasticsearch in a production environment at scale.
• Distributed Systems: Strong understanding of distributed system concepts (Consensus algorithms, CAP theorem, replication, and sharding).
• Programming: Proficiency in Java (core OpenSearch development) and/or Go/Python for automation and tooling.
• Infrastructure: Extensive experience with Kubernetes (K8s) and container orchestration.
• Cloud Providers: Hands-on experience deploying search workloads on AWS (EKS/AOSS), Azure (AKS), or Google Cloud (GKE).
• Big Data Ecosystem: Familiarity with the Hadoop ecosystem or modern equivalents like Spark, Flink, and Hive is a major plus.

Qualifications

• Experience with Lucene internals (segment merging, bitsets, and codecs).
• Knowledge of Vector Database capabilities within OpenSearch for Generative AI (RAG) use cases.
• History of contributing to open-source projects (Apache Software Foundation or OpenSearch Project).

Skills

• OpenSearch or Elasticsearch
• Kubernetes
• Java
• Go
• Python
• AWS (EKS/AOSS)
• Azure (AKS)
• Google Cloud (GKE)
• Hadoop ecosystem
• Lucene internals
• Vector Database capabilities

Benefits

• Flexible work schedule
• Competitive compensation package
• Professional development opportunities
• Work-life balance initiatives

Pay

$120,000 - $150,000 annually

Schedule

Full-time, remote position