Elastic

The Cloud/GenAI Engineer will be responsible for architecting, implementing, and scaling cloud-native infrastructure while driving generative AI capabilities. This role combines advanced DevOps engineering with cutting-edge AI infrastructure management, focusing on building resilient, scalable cloud platforms to support internal systems and GenAI applications.

Principal Software Engineer role focused on enhancing vector similarity search functionality within Elasticsearch, aiming to create an industry-leading vector database offering. This involves designing and implementing new features, improving existing ones, and resolving bugs, with a strong emphasis on performance and relevance.

Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering.

Senior Software Engineer focused on enhancing vector and keyword search functionality within Elasticsearch, including designing and implementing new search features, improving existing functionality, and resolving bugs. The role involves contributing to search relevance, working with vector databases and algorithms like HNSW/IVF at scale, and writing modern Java.

This role leads the enterprise-wide AI strategy and technology deployment, focusing on designing and scaling AI-driven solutions to improve business processes, increase productivity, and reduce operational overhead. The candidate will conduct business process analyses, prioritize AI integration opportunities, and manage a cross-functional team.

Senior Software Engineer to join the Docs Engineering Team, focusing on building, maintaining, and supporting the documentation platform, tooling, and pipelines. The role involves working with AI-assisted coding tools to improve engineering efficiency and automation, translating business needs into scalable deployment patterns, and ensuring a world-class developer experience for documentation.

The Principal Analytics Engineer will lead the design and build of an AI-powered intelligence system for the marketing organization, creating a semantic blueprint for business data interaction. This role involves architecting BigQuery and dbt infrastructure, developing a semantic layer for AI agents, and integrating disparate data signals into a unified customer journey model.

This role is for a Principal Analytics Engineer to lead the design and build of an AI-powered intelligence system for the Marketing organization. The focus is on creating a semantic blueprint for business data, transforming raw signals into high-fidelity, agent-ready data products, and enabling AI agents to interact with this data. The role involves architecting BigQuery and dbt infrastructure, mapping the customer journey, and partnering with various teams.

This role is for a Sr. Solutions Architect at Elastic, a company focused on Search AI. The architect will act as a technical advisor to sales teams, customers, and partners, helping them understand and implement Elastic's solutions to solve business problems. The role involves building customer relationships, demonstrating product value, and communicating customer needs back to engineering teams. While the company is AI-focused, the role itself is not directly building AI models but rather architecting solutions that leverage AI capabilities.

This role is a Senior Solutions Architect for Elastic, a "Search AI Company". The role focuses on being a technical authority and trusted advisor to sales teams, customers, and partners, understanding customer needs and articulating how Elastic's offerings (Search AI Platform, solutions for search, security, and observability) address them. Responsibilities include technical pre-sales, customer relationship building, product demonstration, partner enablement, and communicating customer feedback to engineering. While the company is an "AI Company" and its platform uses AI, the Solutions Architect role itself is not directly building or shipping AI models, but rather selling and implementing solutions that leverage AI.

This role is a Senior Solutions Architect for Elastic, a "Search AI Company". The role focuses on being a technical authority and trusted advisor to sales teams, customers, and partners, understanding customer needs and articulating how Elastic's offerings (Search AI Platform, solutions for search, security, and observability) address them. Responsibilities include technical pre-sales, customer relationship building, product demonstration, partner enablement, and communicating customer feedback to engineering. While the company is an "AI Company" and its platform uses AI, the Solutions Architect role itself is not directly building or shipping AI models, but rather selling and implementing solutions that leverage AI.

This Principal Solutions Architect role focuses on applying Elastic's Search AI Platform, particularly in security use cases (SIEM, Analytics), to enterprise customers. The role involves technical presales, advising sales teams, enabling partners, and understanding customer business issues to demonstrate how Elastic's offerings address their needs. While AI is mentioned as part of the platform, the core craft of the role is applying existing solutions and deep security knowledge, not building AI models.

This role is for a Senior Developer Advocate focused on content creation, specifically technical videos about Elastic's Search AI Platform. The role involves publishing videos, building demos, and contributing to Elastic's content channels, with a focus on educating users about search, AI/ML, and Elasticsearch integrations. While AI is a key topic, the core function is content creation and advocacy, not direct AI/ML model development or deployment.

Senior Software Engineer focused on enhancing vector and keyword search functionality within Elasticsearch, including new feature design, implementation, and bug resolution. The role involves contributing to search relevance, potentially inventing new algorithms or data structures, and working with community members.

This role is for a Senior Solutions Architect at Elastic, a company focused on Search AI. The architect will act as a technical advisor to sales teams, customers, and partners, helping them understand and utilize Elastic's offerings to solve business problems. The role involves deep customer engagement, technical demonstrations, and providing feedback to engineering teams. While the company is AI-focused, the role itself is not directly building AI models but rather enabling customers to use AI-powered products.

Developer Advocate role focused on the Elastic Stack, which includes search and AI capabilities. The role involves community engagement, content creation (blogs, demos, videos), speaking at events, and contributing code. While the company is an "AI Company" and the role touches on AI, the core function is developer advocacy and community building, not direct AI/ML model development or deployment.

This role is for a Principal Software Engineer on the Traffic team within Platform Engineering, focusing on building and improving a multi-cloud network platform at scale for Elastic Cloud and Serverless. The responsibilities include coding, technical design, improving resilience, security, and bug fixes, with a focus on automating network engineering efforts for global infrastructure reliability and scaling.

Software Engineer II on the Web Engineering team responsible for building and maintaining the front-end stack for elastic.co, including features, systems, and infrastructure. The role involves instrumenting client-side performance, partnering with cross-functional teams, writing clean code, participating in code reviews, and diagnosing production issues. Requires experience with TypeScript, React, Node.js/Python/Go, and CI/CD pipelines, with a focus on high availability, security, and scalability.

This role is for a Sr. Recruiter to support the Field APJ organization. The recruiter will manage the full cycle recruiting process, build pipelines, and act as a talent advisor to leadership. Requires 8+ years of sales recruiting experience, preferably in software/startups, and bilingual proficiency in English and Japanese.

This role is for an Elastic Consultant focused on the Public Sector in the UK. The primary responsibilities involve customer advocacy, relationship building, strategic roadmap ownership, and solution design/development using Elastic products. While the company is described as 'The Search AI Company' and mentions AI capabilities, the core of this role is consulting, delivery, and integration of Elastic's platform, not direct AI/ML model development or research. The role requires strong consulting skills, experience with Elasticsearch/Lucene, and UK security clearance.

This role is for a Senior Software Engineer focused on the distributed systems aspects of Elasticsearch, specifically concerning node communication, data indexing, allocation, and replication. The engineer will work on improving concurrent and consistent indexing, maintaining cluster coordination, and pushing the limits of Elasticsearch's scalability.

Senior Software Engineer for the Elasticsearch Distributed Systems team, focusing on scale, performance, and resilience of cluster communication, data indexing, allocation, and replication. The role involves improving concurrent indexing, maintaining cluster coordination, and handling large-scale distributed systems.

Senior Java Developer for Elasticsearch Distributed Systems team, focusing on cluster communication, data indexing, allocation, and replication. The role involves improving concurrency, maintaining cluster coordination, scaling to petabytes, and resolving complex distributed systems issues.

Principal Software Engineer role focused on building a new workflow automation engine within Kibana, part of Elastic's Search AI Platform. The role involves significant frontend development using React and TypeScript, creating a graph-based visual editor for workflow creation, and integrating it across the Elastic ecosystem. While the company is an 'AI Company' and the product is part of their AI platform, this specific role is primarily focused on the UI/UX and engineering of the workflow engine itself, not direct AI/ML model development or research.

This role is for a Principal Software Engineer on the Traffic team within Elastic's Platform Engineering department. The team focuses on building and improving the multi-cloud platform at scale for Elastic Cloud and Serverless, utilizing Kubernetes, Go/Scala, and custom orchestration architectures. The engineer will lead technical initiatives for automating network engineering, grow global platform infrastructure, and prevent customer impact from incidents.

This role is for a Support Engineer at Elastic, a company focused on Search AI. The engineer will provide expert-level technical support to EMEA customers, ensuring issues are resolved within SLA and documented. The role requires a technical background, customer-first mindset, and experience with software support, databases, distributed systems, Linux, and APIs.

This role is for a Consulting Architect in the Public Sector in the Netherlands, focusing on delivering solutions and leading stakeholder relationships with government entities. The role involves designing, developing, and integrating Elastic products, platform architecture, and capacity planning in mission-critical environments. It requires strong customer advocacy, communication skills, and the ability to pivot between delivery and strategic engagements. The role also involves data modeling, query optimization, and cluster tuning, working closely with engineering and product teams to identify feature enhancements and engaging with sales to scope opportunities.

Principal Software Engineer for the Elasticsearch Search Scaling team, focusing on core search infrastructure, indexing, retrieval, and relevance. The role involves defining and building the next generation of Elasticsearch capabilities, researching advances in search infrastructure, and shaping the technical vision for search at Elastic.

This is a general talent community posting for engineering roles at Elastic, a company that positions itself as a 'Search AI Company'. The posting aims to collect resumes from interested engineering candidates for future opportunities, rather than advertising a specific role. It emphasizes Elastic's use of AI in its search platform but does not describe a role that directly builds or researches AI/ML models.