Enterprise · Search
Currently tracking 16 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $192k–$593k (avg $307k).
Elastic has 28 active AI-related job listings, with a significant focus on roles related to agents, which constitute 86% of their openings. The majority of these positions are within Engineering. The company is hiring across the United States, United Kingdom, and Canada. Recurring technical tags include vector_db, RAG, and model_serving, suggesting a focus on building and deploying AI applications that leverage external knowledge.
Elastic currently has 30 active AI-related roles in our index. The most common open titles are: Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch (6), Principal Software Engineer - Vector Search - Elasticsearch (5), Senior Software Engineer - SSC (4), Principal AI Ecosystem Architect - OpenAI/Anthropic (2), Principal Product Manager Agents and Context - Elasticsearch (2). Most positions are in Engineering and Research.
Elastic's active AI hiring is concentrated in: agents (87%), application (10%), serving infrastructure (3%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Elastic is hiring AI talent in: United States (16 roles), United Kingdom (7 roles), Spain (4 roles), Canada (3 roles).
Job postings at Elastic most frequently mention: Observability, Data Governance, Content Generation, Cloud Security, Cloud Infrastructure.
In the past 30 days, Elastic has posted 23 new AI-related roles. That is a +44% change versus the prior 30 days (16 → 23).
| Title | Stage | AI score |
|---|---|---|
| Principal Security ML Research Engineer Principal Security ML Research Engineer at Elastic, focusing on developing advanced AI/ML solutions for threat detection and response. The role involves designing ML architectures, prototyping AI agent workflows, developing anomaly detection models, creating evaluation frameworks, implementing guardrails, and integrating LLM APIs into production. Emphasis on research, community involvement, and mentoring. | AgentEval Gate | 9 |
| Agentic AI Engineer Engineer to build autonomous, enterprise-grounded agents that complete complex business tasks using the Elastic Stack, RAG, and LLM integration. | Agent |
| 9 |
| Principal AI Ecosystem Architect - OpenAI/Anthropic This role focuses on building technical integrations and driving co-build strategies with major AI providers like OpenAI and Anthropic. The individual will act as a technical liaison, influence product roadmaps, and create reference architectures and prototypes to position Elasticsearch as a retrieval layer for agentic AI systems. The goal is to help customers leverage frontier AI with their unstructured data. | Agent | 8 |
| Principal AI Ecosystem Architect - OpenAI/Anthropic This role focuses on building technical integrations and driving strategy with major AI providers (OpenAI, Anthropic) to position Elastic's search and data platform as a retrieval layer for AI agents. The individual will own technical relationships, build prototypes, influence product roadmaps, and create go-to-market content. | Agent | 8 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering. | AgentServe | 7 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on building new features, improving existing ones, and resolving bugs for an industry-leading vector database offering. The role involves deep technical contributions to Lucene and Elasticsearch, potentially inventing new algorithms or data structures, and collaborating with a global team and the open-source community. | AgentServe | 7 |
| Principal Search Consulting Architect This Principal Search Consulting Architect role focuses on designing and scaling complex Elasticsearch cluster topologies for large enterprise customers, with a strong emphasis on AI-powered semantic search, vector databases, and RAG pipelines. The role involves deep technical expertise in Elasticsearch internals, performance tuning, and cloud-native infrastructure, bridging business strategy with distributed systems engineering. | AgentServe | 7 |
| Principal Search Consulting Architect Principal Search Architect role focused on designing and scaling complex Elasticsearch clusters for enterprise customers, with a strong emphasis on AI-powered semantic search, vector databases, and RAG pipelines. The role involves deep technical expertise in Elasticsearch internals, distributed systems, and cloud-native infrastructure, collaborating with engineering and product teams to influence the roadmap. | AgentServe | 7 |
| Sr. Director, Field Technology and AI Sr. Director, Field Technology and AI to lead the GTM Technology organization, focusing on accelerating and applying AI across Elastic's Go-to-Market motion. This role involves owning the strategy, roadmap, and execution for Engineering, Data Science, Customer Data Strategy, and Application Administration teams to drive AI-driven GTM transformation. Responsibilities include setting the AI vision for GTM, leading multi-disciplinary teams, driving AI adoption, measuring impact, and operationalizing applied AI use cases like agentic workflows and seller copilots. | Agent | 7 |
| Principal Software Engineer - Vector Search - Elasticsearch 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. | AgentServe | 7 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering. | AgentServe | 7 |
| Senior Software Engineer - SSC This role is for a Senior Software Engineer on the self-service cloud growth team at Elastic, focusing on human user onboarding and agent onboarding. The engineer will work as a full-stack developer, implementing scalable features and APIs, with a specific emphasis on agentic interfaces for the onboarding and trial experience. The goal is to directly influence the successful growth of Elastic Cloud by improving the customer journey. | Agent | 5 |
| Senior Software Engineer - SSC This role is for a Senior Software Engineer on the self-service cloud growth team at Elastic, focusing on human user onboarding and agent onboarding to drive customer success and trial user engagement. The engineer will work full-stack on backend and frontend features, design and implement scalable APIs, and integrate agentic interfaces into the onboarding and trial experience. Experience with React, Node.js, RESTful APIs, and production deployment is required, with bonus points for Elasticsearch, Kibana, and Kubernetes. | Agent | 5 |
| Senior Software Engineer - SSC This role is for a Senior Software Engineer on the self-service cloud growth team, focusing on human user onboarding and agent onboarding to influence the growth of Elastic Cloud. The engineer will work as a full stack engineer, contributing to both backend and frontend features, designing and implementing scalable APIs, and specifically implementing agentic interfaces for the onboarding and trial experience. | Agent | 5 |
| Senior Software Engineer - SSC Senior Software Engineer role at Elastic, focusing on the self-service cloud growth team. The role involves full-stack development for product onboarding and trial experiences, with a specific emphasis on implementing agentic interfaces to improve customer success and drive growth. The engineer will design and implement scalable features and APIs, collaborate with product managers and designers, and integrate with Elastic solution teams. | Agent | 5 |
| Principal Threat Hunting and Emulation Engineer - InfoSec This Principal Threat Hunting and Emulation Engineer role at Elastic focuses on proactively defending the company's products and services by leading structured, hypothesis-driven threat hunts and adversary emulation exercises. The role involves partnering with various security teams, leveraging AI/ML for analysis, and translating findings into durable detections and hardened defenses. The engineer will also contribute to the security community through knowledge sharing. | Agent | 5 |
| Principal Consulting Architect, Security Principal Consulting Architect for Elastic's Security solutions, focusing on developing and managing services offerings, supporting sales and delivery, and integrating with product/engineering teams. The role involves driving strategic direction and operational excellence for Elastic Security, with a focus on customer needs and market demand. While not directly building AI models, the role is within an AI-focused company and requires understanding AI system architecture for security applications. | — | 5 |
| Principal Software Engineer - Relevance in ES|QL - Elasticsearch Principal Software Engineer role at Elastic focused on search relevance and vector search capabilities within Elasticsearch. The role involves leading initiatives, building new search features, and improving search performance. While AI is mentioned as a tool for development acceleration, the core function is enhancing the search engine. | — | 5 |
| Principal Software Engineer - Relevance in ES|QL - Elasticsearch Principal Software Engineer role at Elastic focused on enhancing the Elasticsearch search engine, particularly its relevance and vector search capabilities. The role involves leading initiatives, designing and implementing new search features, and working with a globally distributed team. Requires strong Java skills and experience with search and vector databases at scale. | — | 5 |
| Principal Software Engineer - Relevance in ES|QL - Elasticsearch Principal Software Engineer role focused on Relevance in Elasticsearch, involving search engine development, vector search capabilities, and AI integration for accelerating development and optimizing code. The role requires expertise in Java, search algorithms, and experience with AI for development tasks. | AgentServe | 5 |
| Principal Software Engineer - Relevance in ES|QL - Elasticsearch Principal Software Engineer focused on Relevance within Elasticsearch, contributing to search engine capabilities, including vector search, and potentially inventing new algorithms or data structures. The role involves leading initiatives, working with a distributed team, and collaborating on open-source projects. | AgentServe | 5 |
| Senior Information Security Engineer - Security Architecture - InfoSec This role focuses on building and maintaining the ingestion pipelines for security telemetry into Elasticsearch, ensuring the health and performance of Elastic clusters. It involves integrating with various APIs, managing cloud infrastructure with Terraform and Kubernetes, and utilizing AI automation to reduce operational toil and improve workflows. | — | 5 |
| Software Engineer II - Full Stack - Web Engineering Full-stack Software Engineer II on the Web Engineering team at Elastic, responsible for building and maintaining elastic.co. This role involves owning features across the full stack, instrumenting performance, partnering with cross-functional teams, writing clean code, triaging security vulnerabilities, and participating in an on-call rotation. The ideal candidate has 3+ years of full-stack experience with TypeScript, React, and backend services, and experience with CI/CD pipelines. A proven track record of using AI to accelerate development is also required. | — | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer focused on search relevance and vector search capabilities within Elasticsearch. The role involves contributing to the core search engine, developing new features, and leveraging AI to enhance development processes. | Agent | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer role focused on search relevance within Elasticsearch, involving contributions to core search engine features, vector search capabilities, and leveraging AI for development acceleration. The role requires expertise in Java, search/vector databases, and autonomous project leadership. | AgentServe | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer for Elastic's Search Relevance team, focusing on improving search engine speed and relevance, including vector search capabilities. The role involves leading initiatives, contributing to Elasticsearch core, and working with community members. Requires strong Java skills and experience with search or vector databases. | AgentServe | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer role focused on Search Relevance within Elasticsearch, contributing to the core search engine, vector search capabilities, and leveraging AI for development acceleration. The role involves leading initiatives, designing and implementing new search features, and working with a globally distributed team. | AgentServe | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer focused on search relevance and vector search capabilities within Elasticsearch. The role involves contributing to the core search engine, developing new features, and improving performance, with an emphasis on AI to accelerate development. | ServeAgent | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer focused on Search Relevance within Elasticsearch, contributing to the AI Platform's search capabilities, including vector search, and driving technical direction for search features and enhancements. | AgentServe | 5 |
| Principal Software Engineer - Security - Elasticsearch Principal Software Engineer for Elasticsearch Security, focusing on architecture and design of authentication, authorization, and tenant isolation. The role involves leading core security initiatives, developing foundational security models, optimizing performance, applying cryptographic solutions, ensuring data isolation, and staying updated on security advancements. It also includes driving vulnerability management, leveraging AI-driven tools for security workflows, and mentoring engineers. Requires deep Java/JVM knowledge, experience with scalable authorization systems, distributed systems security, and edge identity protocols. Experience with AI for development acceleration is a plus. | — | 5 |
| Principal Software Developer - Security - Elasticsearch Principal Software Developer for Elasticsearch Security team, focusing on architecture and design of core security features like authentication, authorization, and tenant isolation. The role involves leading technical design, developing foundational security models, optimizing performance, applying cryptographic solutions, ensuring data isolation, and collaborating across teams. It also emphasizes leveraging AI-driven tools for security workflows and mentoring engineers. | — | 5 |
| Senior Software Developer - Security - Elasticsearch Senior Software Developer for Elasticsearch Security team, focusing on architecture, design, and implementation of security features like authentication, authorization, and tenant isolation. The role involves optimizing security performance in distributed systems, applying cryptographic solutions, and ensuring data isolation. A key aspect is leveraging AI-driven tools to enhance security workflows, vulnerability management, and development processes. | — | 5 |
| Senior Software Engineer - Security - Elasticsearch Senior Software Engineer for Elasticsearch Security team, focusing on architecture and design of core security features like authentication, authorization, and tenant isolation. The role involves developing foundational security models, optimizing performance in distributed systems, applying cryptographic solutions, ensuring data isolation, and staying updated on security best practices. It also includes driving vulnerability management and leveraging AI-driven tools for security workflows. | — | 5 |
| Software Engineer II - Full Stack - Web Engineering Software Engineer II on the Web Engineering team at Elastic, responsible for building and maintaining features, systems, and infrastructure for elastic.co. This is a full-stack role requiring expertise in React, backend services, CI/CD, and production operations. While the company is an 'Elastic Search AI Company' and mentions using AI to accelerate development, the core craft of this role is web engineering, not AI/ML model development. | — | 5 |
| Software Engineer II - Full Stack - Web Engineering Full-stack Software Engineer II on the Web Engineering team at Elastic, responsible for building and maintaining elastic.co. This role involves owning features across the full stack, instrumenting performance, partnering with cross-functional teams, writing clean code, triaging security vulnerabilities, and participating in an on-call rotation. The ideal candidate has strong TypeScript and React experience, backend development skills with Node.js, Python, or Go, and experience with CI/CD pipelines. A proven track record of using AI to accelerate development is also required. | — | 5 |
| Software Engineer II - Full Stack - Web Engineering Software Engineer II on the Web Engineering team at Elastic, responsible for building and maintaining the elastic.co website. This role involves full-stack development, feature ownership, performance instrumentation, security triage, and production issue resolution. The candidate should have experience with TypeScript, React, backend services, and CI/CD pipelines, and is expected to leverage AI tools to aid in development. | — | 5 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team. This role is responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine, with a strong focus on storage, indexing, query execution, and performance optimization. The ideal candidate has experience building high-performance, scalable database, search, or distributed systems. | — | 5 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team. This role is responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine, with a strong focus on storage, indexing, query execution, and performance optimization. Experience building high-performance, scalable database, search, or distributed systems is ideal. The role involves leading architectural evolution, driving cross-organizational initiatives for observability solutions, and working with a globally distributed team. Requires strong core Java skills and experience with data storage technologies. | — | 5 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team, focusing on core storage and query technologies for observability workloads. Responsibilities include designing, implementing, and optimizing Elasticsearch's storage and query engine, improving storage efficiency, advancing ES|QL query processing, and optimizing data layouts. Requires strong Java skills and experience with high-performance, scalable database/search/distributed systems. | — | 5 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team. This role is responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine, focusing on storage efficiency, query processing, and data layouts for observability workloads. Requires experience building high-performance, scalable database, search, or distributed systems, with a strong focus on storage, indexing, query execution, and performance optimization. Must have strong core Java skills and experience with data storage technologies. | — | 5 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer for Elasticsearch's Storage Engine team, focusing on core storage and query technologies for observability workloads. Responsibilities include architectural evolution, performance optimization, and developing high-performance, scalable database/search/distributed systems. The role emphasizes Java development, distributed systems, and leveraging AI tools for development acceleration and debugging. | — | 5 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team. This role is responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine, focusing on storage efficiency, query processing, and data layouts. The ideal candidate has experience building high-performance, scalable database, search, or distributed systems. | — | 5 |
| Senior Software Developer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team. This role is responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine, focusing on storage efficiency, query processing, and data layouts. The ideal candidate has experience building high-performance, scalable database, search, or distributed systems. | — | 5 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team, responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine. Focus on high-performance, scalable database, search, or distributed systems, with a strong emphasis on storage, indexing, query execution, and performance optimization for observability workloads. Requires strong Java skills and experience with data storage technologies. | — | 5 |
| Principal Software Developer - Storage Engine - Elasticsearch Principal Software Developer for Elasticsearch's Storage Engine team, focusing on core storage and query technologies for observability workloads. Responsibilities include driving technical vision, architecture, and design, optimizing storage efficiency, advancing ES|QL query processing, and optimizing data layouts. Requires strong Java skills and experience with data storage technologies. The role will leverage AI tools for development acceleration and debugging. | — | 5 |
| Principal Software Engineer - Storage Engine - Elasticsearch Principal Software Engineer for the Elasticsearch Storage Engine team, focusing on core storage and query technologies for observability workloads. Responsibilities include driving technical vision, architecture, and design, improving storage efficiency, optimizing data layouts, and advancing query processing. The role requires strong Java skills and experience with data storage technologies. | — | 5 |
| Senior Java Engineer - Core/Infra - Elasticsearch Senior Software Engineer to join the Elasticsearch team, focusing on core infrastructure, shared platform functionalities, and enabling developers. The role involves contributing to large projects, designing scalable features, solving complex issues, and improving observability. While the company is an AI company and the role mentions integrating agentic apps and using AI to accelerate development, the core craft of this role is building and maintaining the foundational infrastructure of Elasticsearch, not directly shipping AI models or agents as the primary deliverable. The role touches on AI tools for development acceleration but doesn't build AI models themselves. | — | 5 |
| Senior Solutions Architect - Federal Civilian This role is a Senior Solutions Architect for Elastic, focusing on the Federal Civilian sector. The primary responsibility is to act as a technical authority and trusted advisor to sales teams, customers, and partners, understanding customer business issues and demonstrating how Elastic's Search AI Platform can address their needs. The role involves engaging with the Elastic community, enabling sales through partners, and communicating customer needs back to engineering and leadership. While the company is an AI company and the platform uses AI, the Solutions Architect role itself is not directly building or shipping AI models but rather enabling the sales and adoption of AI-powered products. | — | 5 |
| Tech Lead, Agent Framework - Observability Tech Lead for Elastic's Agent Framework team, responsible for the architecture and technical direction of the agent layer within the Streams program. The role involves designing scalable systems for observability data collection, providing technical guidance, and leading multi-team initiatives. Experience with distributed systems, observability data, and Go is required. | — | 5 |
| Tech Lead, Agent Framework - Observability Tech Lead for Elastic's Agent Framework team, responsible for the architecture and technical direction of the agent layer within the Streams program. The role involves designing scalable systems for data collection (metrics, logs, traces) and providing technical guidance to the team, with a focus on Go development and distributed systems management. | — | 5 |