
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 initiatives within Elasticsearch to produce an industry-leading vector database offering with speed and relevance in search • Contribute full time to Elasticsearch by building new search features, fixing bugs, improving code readability, and developing algorithms or data structures • Work with the globally distributed team focused on Elasticsearch vector-search capabilities • Serve as the expert on Elasticsearch vector-similarity implementation and improve search relevance • Work with worldwide community members on issues and pull requests, including triage, handoff, 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 review, 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 • Bonus: Experience with Elasticsearch, open-source projects, source-control workflows, continuous integration, data-storage technology, and cross-functional initiatives
• 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 • Elastic matches up to $2000 (or local currency equivalent) for financial donations and service • Up to 40 hours each year to use toward volunteer projects you love • Minimum of 16 weeks of parental leave
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🕒 May 18
Backend Engineer designing and building trading systems for decentralized derivatives at a high-growth company. Focused on performance and scalability in a high-frequency trading environment.