Elastic

Elastic is seeking an AI Engineer to build autonomous, enterprise-grounded agents that complete complex business tasks using the Elastic Stack, RAG, and LLM integrations. The role involves designing agentic workflows, integrating LLMs with APIs and tools, managing the agent lifecycle, and ensuring scalability and security.

Lead GenAI Cloud Developer responsible for evolving ElasticGPT from a conversational assistant to a proactive, task-oriented agentic ecosystem. This involves designing and building agentic workflows, production RAG systems, deploying scalable APIs, and implementing optimization and observability pipelines for enterprise-wide productivity.

This role focuses on the end-to-end technical delivery and development of AI solutions, specifically AI agentic deployments and LLM-based intelligent agents using the Elastic Agent Builder platform. It involves designing, implementing, and orchestrating these systems, with a strong emphasis on custom agent engineering and data integration within enterprise environments.

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.

Principal Software Engineer to own the backend architecture for Elastic's Agent Builder conversational platform, focusing on streaming APIs, secure tool execution, session persistence, and evaluation telemetry. The role involves leading design, building event-driven pipelines, championing reliability, and mentoring engineers, with exposure to LLM tooling and open-source AI communities.

Principal Software Engineer II to join the Elasticsearch - Machine Learning team, focusing on building and maintaining ML platform components and optimizing model performance within the Elastic Search AI Platform. This role involves core Java development for ML support in Elasticsearch and C++ for performance optimizations, integrating advanced analytics and ML into the distributed Elastic platform.

Principal Software Engineer focused on enhancing vector similarity search functionality within Elasticsearch, contributing to a leading vector database offering.

Principal Software Engineer role focused on enhancing vector similarity search functionality within Elasticsearch, contributing to a leading vector database offering. This involves designing and implementing new features, improving existing ones, and potentially inventing new algorithms or data structures. The role requires deep expertise in Java and vector similarity techniques.

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.

Principal Software Engineer II to join the Elasticsearch - Machine Learning team to build and maintain platform components for machine learning in Elasticsearch. This involves maintaining and extending ML support in Java and working on model performance optimizations in C++. The role focuses on building the infrastructure that integrates advanced analytics and ML components into the distributed Elastic platform.

Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering. The role involves contributing to core Elasticsearch features, potentially inventing new algorithms or data structures, and working with a globally distributed 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.

Principal Technical Writer for Elastic's Core Docs, focusing on sophisticated platform features. The role involves leading documentation strategy, establishing content patterns, and championing AI-augmented documentation practices. The writer will collaborate with engineering and product teams to make complex technology understandable for users and developers, with a strong emphasis on practical AI tool fluency and documenting AI/ML concepts.

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 focuses on enhancing the security posture of Kibana by building AI-powered tools for vulnerability detection, alert triage, and threat analysis, while also managing third-party dependencies and implementing security controls. The engineer will write secure code for client and server-side components.

Senior Software Engineer role focused on building core capabilities for Elastic's security platform, specifically designing and implementing features related to AI-powered inboxes, value reports, and guided onboarding for security products. The role involves API development, building scalable systems, and ensuring reliability and observability within the Elastic ecosystem.

Senior Go Engineer for the Observability team at Elastic, focusing on building and maintaining backend intake service components for cloud-managed and on-prem deployments. The role involves designing and implementing new features, improving existing code, building a strong backend for OpenTelemetry data flow, optimizing data formats for Elasticsearch, and ensuring operational stability through monitoring and SLOs. Experience with Go, observability, high throughput/low latency services, stream processing, and cloud platforms is required.

Principal Site Reliability Engineer for Elastic's Observability Solution, focusing on building next-generation infrastructure observability experiences using the Elastic Search AI Platform and coding agents. The role involves collaborating across teams, delivering and evolving experiences, and operating large-scale production services with observability tools.

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.

Senior Analytics Engineer to join Platform Analytics team, focusing on designing and evolving core analytical data models using BigQuery and dbt. The role involves refactoring existing models, partnering with solution teams, defining and enforcing modeling standards, and centralizing business logic. The role will also explore and apply AI-assisted approaches to improve analytics workflows.

This Principal Software Engineer II role on the Elasticsearch - Machine Learning team focuses on building and maintaining the platform and components for machine learning within Elasticsearch. The role involves both Java for ML support and C++ for model performance optimizations, integrating advanced analytics and ML into the distributed Elastic platform for search, observability, and security solutions.

Data Engineer II on the Platform Analytics team, responsible for building and maintaining scalable data pipelines and analytics solutions using BigQuery and dbt, supporting business, product, and technical use cases. The role involves designing data models, partnering with cross-functional teams, and monitoring data quality.

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 Site Reliability Engineer on the Platform Infrastructure team at Elastic, a company that leverages AI in its search platform. The engineer will design and develop tooling for building, testing, and shipping the Elastic Stack, and build/operate production services. They will need strong software development and SRE experience, proficiency in Linux systems administration, and experience with infrastructure-as-code tools.

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 Site Reliability Engineer on the Platform Infrastructure team at Elastic. The team designs and develops tooling for building, testing, and shipping the Elastic Stack, and operates production services critical to the business. The role requires a strong software development background, SRE experience, Linux administration skills, and proficiency in infrastructure-as-code tools.

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.

Principal Software Engineer role focused on building and improving the multi-cloud network platform at Elastic, utilizing Kubernetes and Go/Scala. The role involves automating network engineering, scaling infrastructure, and ensuring reliability and security for Elastic Cloud and Serverless offerings.

This role is for a Principal Software Developer on the Traffic team within Elastic's Platform Engineering department. The team is responsible for building and improving the multi-cloud platform at scale for Elastic Cloud and Serverless, focusing on distributed network services, Kubernetes, Go/Scala, and custom orchestration architectures. The role involves coding, technical design, solution crafting, improving resilience, and prioritizing security and bug fixes. Key responsibilities include leading technical initiatives for automating network engineering, growing global platform infrastructure, and preventing customer impact from major incidents.

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 Salesforce Automation QA Analyst responsible for ensuring the quality of Salesforce and coordinated systems through robust QA automation and functional testing. The position involves building, maintaining, and implementing automated and manual tests, collaborating with Agile teams, and improving test reliability and efficiency.

Principal Software Engineer II to lead the architecture and implementation of Elasticsearch's core authentication, authorization and tenant-isolation primitives. You will partner with leaders across Elastic to deliver end-to-end security guarantees, ensuring our distributed data stores provide best-in-class security and identity management features at scale.