Senior Software Engineer – Vector Search, Elasticsearch

🔥 19 hours ago

🇳🇴 Norway – Remote

💵 kr791.3k - kr1.3M / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

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Elastic

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Lead initiatives within Elasticsearch to produce an industry-leading search engine offering with speed and relevance • Build new search features and fix bugs while improving code understandability • Invent or implement algorithms and data structures and work close to the operating system and hardware when needed • Collaborate with a globally distributed team focused on Elasticsearch vector-search capabilities • Drive improvements in Elasticsearch search relevance • Work with global community members on issues and pull requests, including triage, handoffs, and resolution • Write idiomatic modern Java

🎯 Requirements

• 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 search or vector databases • Experience using HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale • Solid skills in core Java, including standard-library data structures, concurrency constructs, and lambdas • Ability to take projects from beginning to end, including technical design and development of needed components • Experience collaborating on code, approaches, and APIs, including internet-based or asynchronous collaboration • Experience with data-storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra • 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 • Ability to work autonomously and drive decisions and results in a distributed team • Experience with Elasticsearch, open-source projects, source-control workflows, continuous integration, data-storage technology, or cross-functional initiatives is a bonus

🏖️ Benefits

• 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 • Minimum of 16 weeks of parental leave

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