Tech Stack
Responsibilities
- Translate business and functional requirements into highly resilient, scalable search architectures built natively on distributed Elasticsearch environments
- Lead technical execution and node blueprinting for enterprise customer engagements including capacity planning, custom mappings, shard strategy, and ILM
- Deploy and operationalize semantic search implementations utilizing Elasticsearch's native vector capabilities and hybrid retrieval pipelines
- Profile, benchmark, and tune distributed search and indexing performance to meet demanding SLAs
- Serve as the lead technical consultant during client engagements, leading technical kickoff meetings and architectural reviews
Benefits
- 401k
- Health Insurance
- Learning Budget
- Parental Leave
Culture
Flat HierarchyWork-Life BalanceFlexible HoursInclusive Hiring
Requirements
Required: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical industry experience
Regions: Us
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About Elastic
Industry: saas
Size: large
Elastic, the Search AI Company, delivers cloud-based search, security, and observability solutions used by more than 50% of the Fortune 500.
View company profile →Compensation
Base salary: $133,100 USD
Equity: Eligible to participate in Elastic's stock program
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