Elasticsearch - Senior Java Engineer

Elasticsearch

Grove City, OH

Full Time

Senior

about 1 month ago

Job Description

About the Role

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. The company is distributed by intention, hiring the best engineers worldwide, collaborating across continents, and fostering a culture of fast, scalable, high-quality software development through empowerment, code review, consensus decision-making, and continuous improvement.

Key Responsibilities

Build scalable new features, fix bugs, and increase testing coverage in Elasticsearch, making the code easier to understand.
Invent new algorithms or data structures, or find and implement existing ones.
Address performance or concurrency issues and propose solutions.
Collaborate openly with the Elasticsearch team, Elastic Stack users, and other open source projects.
Work with community members on issues and pull requests, triaging or handling them as needed.
Partner with support engineers on complex problems.
Write idiomatic modern Java, as Elasticsearch is 99.8% Java.

Requirements

6+ years of Software Engineering experience, highly proficient in Java and familiar with data structures and concurrency constructs.
2+ years of experience in vector search, search engine development, query language implementation, or developing storage-efficient solutions.
Solid foundations in software engineering and deep technical proficiency in algorithms.
Experience troubleshooting complex issues.
High level of autonomy, owning projects from start to finish.
Experience with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.