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Elastic Search
2 weeks ago
Key Responsibilities:
Elasticsearch Cluster Management: Deploy, configure, and maintain Elasticsearch clusters in production environments, ensuring high availability, scalability, and performance.
Indexing and Query Optimization: Design and implement efficient indexing strategies to optimize search query performance. Work on improving Elasticsearch query performance and ensure low-latency response times.
Troubleshooting & Performance Tuning: Identify and resolve performance bottlenecks, analyze Elasticsearch logs, and provide solutions to maintain system reliability and performance at scale.
Security and Access Control: Implement security measures such as Azure AD role-based access control (RBAC), encryption, and other techniques to ensure that data is secure and compliant with industry standards.
Monitoring & Reporting: Set up monitoring tools (Elastic Stack Monitoring, Grafana) to track cluster health, resource usage, and query performance. Provide reports and insights on system health.
Collaboration & Documentation: Collaborate with developers, data scientists, and other stakeholders to understand use cases, ensure the search infrastructure supports their needs, and provide training and documentation.
Upgrades and Patches: Plan and execute Elasticsearch version upgrades and patch management to ensure that the system remains up-to-date and secure.
Scaling and Capacity Planning: Work on horizontal and vertical scaling strategies to handle an increase in data and query load. Optimize hardware and cloud infrastructure for Elasticsearch deployments.
**Requirements**:
At least 3 years of hands on experience with Elasticsearch in a production environment, and ideally, recent experience of Elastic Enterprise Search
Proficiency in Elasticsearch setup, configuration, and cluster management.
Strong understanding of Elasticsearch APIs, indexing, and query DSL.
Experience with data ingestion and ETL tools (e.g., Logstash, Beats, Kafka).
Familiarity with Kibana for visualizing Elasticsearch data.
Experience in performance tuning and troubleshooting Elasticsearch issues.
Experience implementing security features such as authentication, authorization, and encryption in Elasticsearch.
Experience with monitoring and alerting tools like Prometheus, Grafana, Elastic Stack Monitoring, etc.
Familiarity with Azure cloud platform
Proficiency in at least one programming language (e.g., Python, Java, C#)
Experience in CI/CD Tooling, Github, Azure DevOps
**About Virtusa**
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
