
ElasticSearch Engineer
Há 3 dias
Location: Remote in Latam
Type: Full-Time About the Role
We are seeking an experienced Elasticsearch Engineer to design, build, and maintain a scalable search and analytics infrastructure. You will be responsible for developing robust indexing pipelines, optimizing query performance, and supporting advanced use cases such as log aggregation, observability, and full-text search. This is a key role in ensuring that our data is fast, searchable, and actionable across multiple business domains.
Key Responsibilities- Design and implement high-performance search solutions using Elasticsearch and the ELK Stack (Elasticsearch, Logstash, Kibana).
- Build scalable and resilient indexing pipelines for real-time and batch data ingestion.
- Optimize search performance, relevance tuning, query design, and index lifecycle management.
- Monitor, troubleshoot, and maintain search clusters, ensuring high availability and low latency.
- Work with product, engineering, and data teams to support full-text search, analytics, and monitoring use cases.
- Implement security, access control, and data retention policies in Elasticsearch.
- Create dashboards and visualizations in Kibana to enable observability and business insights.
- Stay up to date with the latest in Elasticsearch and observability tools to advise on best practices.
- 5 years of experience working with Elasticsearch in production environments.
- Strong knowledge of index design, query DSL, and performance tuning.
- Experience with Logstash, Beats, or custom ingestion pipelines.
- Proficiency in Python, Java, or for backend/search integration.
- Experience with Kibana for dashboards and visualizations.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and Elasticsearch-as-a-Service offerings.
- Understanding of data security, RBAC, and Elasticsearch Shield/X-Pack features.
- Experience with OpenSearch, vector search, or semantic search.
- Background in observability, monitoring systems, or DevOps workflows.
- Familiarity with Docker, Kubernetes, or infrastructure as code tools (e.g., Terraform).
- Knowledge of Machine Learning for anomaly detection or relevance ranking in Elasticsearch.
What We Offer
- Competitive Salary: Earn a USD salary that matches your skills and experience.
- Full-Time Remote
- Paid Time Off: We value work-life balance, offering PTO so you can recharge.
- Private Health Insurance. Your health matters, and we help with a subsidy to cover your care.
- Salary Reviews every year
- Paid Training and Certification
Want to learn more about us?
LinkedIn: PuzzleInstagram: @puzzle.tech_
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