
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.
🔥 5 hours ago
Where this job comes from
Posted on Elastic's careers page, not through a job board
First seen by Remote Rocketship 5 hours ago
Still open on Elastic's site. Checked 1 hour 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 • Contribute full time to Elasticsearch by building new search features and fixing bugs • Improve code readability and maintainability • Invent or implement algorithms and data structures • Work close to the operating system and hardware when needed • Collaborate with a globally distributed team of experienced engineers focused on vector search capabilities • Serve as an expert on Elasticsearch vector similarity implementation and improve search relevance • Work with community members worldwide 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 take on projects and guide them from beginning to end, covering technical design and collaboration with engineers • Experience collaborating collaboratively on code, approaches, and APIs • Experience with several 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 work autonomously and drive decisions and results in a distributed team through asynchronous, direct, and transparent communication
• Base salary compensation with no variable compensation component • Eligibility to participate in Elastic's stock program • Company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings • Health coverage for you and your family in many locations • 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 • Competitive pay based on the work you do here and not your previous salary
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