Related skills
java docker terraform aws elasticsearch📋 Description
- Translate complex business needs into scalable Elasticsearch architectures.
- Lead cluster design: node blueprinting, capacity planning, ILM, CCR/CCS.
- Architect vector search and AI pipelines using kNN/ANN/ELSER and RAG.
- Profile and tune distributed search for ultra-high-QPS with sub-second SLAs.
- Build robust ingestion strategies for petabyte-scale data.
- Mentor engineers and influence Elasticsearch roadmap with cross-functional teams.
🎯 Requirements
- Elasticsearch expertise: 8+ years at massive scale; internals mastery.
- AI-powered search: semantic search with vector fields and ML integrations.
- Cloud-native infra across AWS/Azure/GCP; Docker; Terraform.
- Polyglot coding: Java, Python, Go; ES client libraries; plugins.
- Strong communication and stakeholder alignment; global/cross-site collaboration.
- Bachelor/Master/PhD in CS/Engineering or equivalent.
🎁 Benefits
- Competitive pay; stock program eligibility; 401k with matching.
- Health coverage for you and family in many locations.
- Flexible locations and schedules for many roles.
- Generous vacation days; volunteer time and donation matching up to $2000.
- Parental leave (up to 16 weeks).
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!