
1001 - 5000 employees
💼 Consulting
📦 Logistics
Consulting • Logistics • Cloud Security
Elastic is a skilled consulting partner specializing in cloud technologies, particularly with Amazon Web Services (AWS). They help businesses design, build, and secure public cloud migrations and environments, offering services in cloud migration, optimization, and security. With over a decade of experience and AWS-certified experts, Elastic aims to simplify the complexities of public cloud for their clients, ensuring smooth digital transformations.
🔥 1 minute ago
Where this job comes from
Posted on Elastic's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

1001 - 5000 employees
💼 Consulting
📦 Logistics
Consulting • Logistics • Cloud Security
Elastic is a skilled consulting partner specializing in cloud technologies, particularly with Amazon Web Services (AWS). They help businesses design, build, and secure public cloud migrations and environments, offering services in cloud migration, optimization, and security. With over a decade of experience and AWS-certified experts, Elastic aims to simplify the complexities of public cloud for their clients, ensuring smooth digital transformations.
• Lead Elasticsearch initiatives to produce an industry-leading vector database offering with speed and relevance in search • Build new Elasticsearch search features and fix bugs • Improve code clarity and, when needed, invent or implement algorithms and data structures • Work close to the operating system and hardware when required • Collaborate with a globally distributed team of experienced engineers focused on Elasticsearch vector search • Serve as an expert on vector similarity implementation and improve the area through investigation and feedback • Work with community members worldwide on issues and pull requests, including triage, delegation, and resolution • Write idiomatic modern Java
• Implemented novel techniques in vector similarity on a search platform with a large user base or progressed academic research in vector similarity information retrieval • Professional experience with vector similarity and vector databases • Experience using HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale • Strong skills in core Java, including standard-library data structures, concurrency constructs, and lambdas • Ability to work autonomously and guide projects from beginning to end, including technical design and collaboration with engineers • Comfortable with collaborative development, code reviews, feedback, APIs, and asynchronous internet collaboration • Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra • Excellent verbal and written communication skills • Proven track record of using AI to accelerate development, debug complex systems, and optimize code while owning final outcomes • Ability to collaborate across functions and teams and transition between projects, codebases, or teams based on business priorities • Ability to drive decisions and results in a distributed team through asynchronous, direct, and transparent communication • English-language posting; no explicit language requirement stated • Export license may be required for individuals located in or nationals of certain sanctioned countries or regions
• Competitive pay based on the work you do here and not your previous salary • Health coverage for you and your family in many locations • Ability to craft your calendar with flexible locations and schedules for many roles • Generous number of vacation days each year • Matching up to $2000 (or local currency equivalent) for financial donations and service • Up to 40 hours each year for volunteer projects • Minimum of 16 weeks of parental leave
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