To lead the design, development, and optimization of high-scale search and discovery systems

leveraging deep expertise in OpenSearch. The Search Staff Engineer will enhance search

relevance, query performance, and indexing efficiency by utilizing OpenSearch’s full-text, vector

search, and analytics capabilities. This role focuses on building real-time search pipelines,

implementing advanced ranking models, and architecting distributed indexing solutions to

deliver a high-performance, scalable, and intelligent search experience.

Responsibilities

• Architect, develop, and maintain a scalable OpenSearch-based search infrastructure for high-traffic applications.
• Optimize indexing strategies, sharding, replication, and query execution to improve search performance and reliability.
• Implement cross-cluster search, multi-tenant search solutions, and real-time search capabilities.
• Ensure efficient log storage, retention policies, and lifecycle management in OpenSearch.
• Monitor and troubleshoot performance bottlenecks, ensuring high availability and resilience.
• Design and implement real-time and batch indexing pipelines for structured and unstructured data.
• Optimize schema design, field mappings, and tokenization strategies for improved search performance.
• Manage custom analyzers, synonyms, stopwords, and stemming filters for multilingual search.
• Ensure search infrastructure adheres to security best practices, including encryption,
  
  

access control, and audit logging.

• Optimize search for low latency, high throughput, and cost efficiency.
• Collaborate cross-functionally with engineering, product, and operations teams to ensure seamless platform delivery.
• Define and communicate a strategic roadmap for Search initiatives aligned with business goals.
• Work closely with stakeholders to understand database requirements and provide technical solutions.
  
  

Requirements

• 9+ years of experience in search engineering, with at least 3+ years of deep experience in OpenSearch.
• Strong expertise in search indexing, relevance tuning, ranking algorithms, and query parsing.
• Hands-on experience with OpenSearch configurations, APIs, shards, replicas, and cluster scaling.
• Strong programming skills in Node.js and Python and experience with OpenSearch SDKs.
• Proficiency in REST APIs, OpenSearch DSL queries, and aggregation frameworks.
• Knowledge of observability, logging, and monitoring tools (Prometheus, OpenTelemetry, Grafana).
• Experience managing OpenSearch clusters on AWS OpenSearch, Containers, or self- hosted environments.
• Strong understanding of security best practices, role-based access control (RBAC), encryption, and IAM.
• Familiarity with multi-region, distributed search architectures.
• Strong analytical and debugging skills, with a proactive approach to identifying and mitigating risks.
• Exceptional communication skills, with the ability to influence and drive consensus among stakeholders.
  
  

Skills:- Search Engine Optimization (SEO), Elastic Search, Python, NodeJS (Node.js), Java and Go Programming (Golang)