Elastic Search
PythonTo 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:
• 8+ 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Albert Invent
About
Albert Invent is a cutting-edge R&D software company that’s built by scientists, for scientists. Their cloud-based platform unifies lab data, digitises workflows and uses AI/ML to help materials and chemical R&D teams invent faster and smarter. With thousands of researchers in 30+ countries already using the platform, Albert Invent is helping transform how chemistry-led companies go from idea to product.
What sets them apart: built specifically for chemistry and materials science (not generic SaaS), with deep integrations (ELN, LIMS, AI/ML) and enterprise-grade security and compliance.
Tech stack
NodeJS (Node.js)
Javascript
Flutter
Amazon Web Services (AWS)Candid answers by the company
Their platform brings together electronic lab notebook (ELN) functionality, laboratory information management systems (LIMS), inventory tracking, AI/ML for molecular and formulation predictions, and process automation — all in one end-to-end solution.
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Job Description
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon