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Tech Stack
Tools & technologiesApacheAWSAzureCloudElasticSearchGoHadoopJavaKubernetesPythonSpark
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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
ATS Keywords
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Hard Skills & Tools
OpenSearchElasticsearchJavaGoPythonKubernetesHelmAWSAzureHadoop