3 months ago
Base Salary
$160k - $253k/yr
Responsibilities
- Lead Elasticsearch initiatives to deliver a high-performance and relevant vector database offering.
- Design and implement new vector search features, improve existing functionality, and resolve bugs in Elasticsearch.
- Invent or implement algorithms and data structures and work close to operating system and hardware layers when needed.
- Develop idiomatic modern Java and improve the clarity and maintainability of the codebase.
- Build expertise in Elasticsearch vector similarity and support search relevance decisions and questions.
- Collaborate with globally distributed engineers and open-source community members on issues and pull requests.
- Triage community issues, route them to appropriate experts, and handle issues directly when appropriate.
- Guide projects from technical design through implementation and collaborate across teams and codebases.
Requirements
- Professional experience with vector similarity, vector databases, and search platforms at scale using HNSW, IVF, or comparable algorithms and libraries.
- Strong core Java skills, including standard-library data structures, concurrency constructs, and lambdas.
- Ability to work autonomously and lead projects from beginning to end.
- Experience collaborating on code, APIs, technical approaches, and distributed or asynchronous teams.
- Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
- Excellent verbal and written communication skills and the ability to collaborate across functions and teams.
- Demonstrated use of AI to accelerate development, debug complex systems, and optimize code while retaining ownership of outcomes.
- Preferred experience building with Elasticsearch, contributing to open-source projects, and working with source-control workflows and continuous integration.
- Preferred experience designing, leading, and owning cross-functional initiatives.
Benefits
- Base salary with no variable compensation component.
- Eligibility to participate in Elastic’s stock program.
- Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings.
- Health coverage for employees and families in many locations.
- Distributed work model with flexible locations and schedules for many roles.
- Generous vacation days and up to 40 hours annually for volunteer projects.
- Matching of financial donations up to $2,000 or local-currency equivalent.
- At least 16 weeks of parental leave.
Tech Stack
Categories
About Elastic
Elastic builds the Elasticsearch-based platform for enterprise search, observability (logging, metrics, APM), and security (SIEM/endpoint). It sells subscriptions and Elastic Cloud managed services with usage-based pricing, combining open source and proprietary features through Elasticsearch and Kibana. Founded in 2012 and headquartered in San Francisco, Elastic is publicly traded on the NYSE and is used by more than half of the Fortune 500.