Security Analyst Experience - Senior Software Engineer, Generative Ai

Elasticsearch B.V.; Madrid; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading technology company is seeking a Software Engineer to develop high-quality TypeScript code and collaborate within a diverse, remote team. The role focuses on integrating AI functionality into security solutions and requires extensive software development experience. Ideal candidates will be skilled in TypeScript, React, and have a strong understanding of machine learning and generative AI. This position offers the chance to impact security analytics and engage with an open-source community.

Formación

• Extensive experience developing complex software and maintaining it in production.
• Proven track record of writing robust unit, integration, and E2E tests.
• Deep familiarity with machine learning concepts and generative AI models.

Responsabilidades

• Write, test, and maintain high-quality TypeScript code.
• Collaborate with cross-functional teams to build new AI-powered workflows.
• Contribute to open-source projects and connect with the Elastic community.

Conocimientos

Software development

Typescript

React

Node.js

Problem-solving

Machine learning

Generative AI

Elasticsearch

Descripción del empleo

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.

Team Overview

The Security Generative AI team is revolutionizing traditional security operations workflows with innovative features built on top of the Elastic Stack and the Elastic Search AI platform. The Elastic stack is already very popular among the security analyst community, and the Security Generative AI team has the opportunity to significantly improve the user experience and workflows of security analysts. We are using the power of the Elastic Search AI platform along with machine learning and retrieval augmented generation (RAG) techniques to enhance operational efficiency and reduce the time to respond to security threats.

The team is diverse and distributed. You will be working remotely with team members from Germany, Spain, United States, United Kingdom, and more. We meet via Zoom, brainstorm in Google docs, discuss in GitHub issues, and chat on Slack.

Your future responsibilities :

1. Write, test, and maintain high-quality, client-side and server-side TypeScript code.
2. Collaborate with cross-functional teams to build new AI-powered workflows and integrate AI functionality into existing Security Solution features.
3. Work closely with the product and design teams to define requirements and craft intuitive user workflows powered by generative AI that address security analytics use cases.
4. Contribute to open-source projects, connect with the Elastic community via GitHub, Slack, and discussion forums.
5. Work with our support team to help customers answer questions and resolve issues.

Required skills :

1. Extensive experience developing complex, high-quality software over multiple years and maintaining it in production environments. Experience with large-scale systems is a plus.
2. Experience with Typescript, React, and Node.js.
3. Proven track record of writing robust unit, integration, and E2E tests.
4. Familiarity with developing LLM and Retrieval Augmented Generation (RAG) applications.
5. Ability to translate prompt engineering techniques into code.
6. Deep familiarity with the LangChain framework and its related concepts (i.e., chains, agents, and tools).
7. Familiarity with LLM application evaluation tools such as LangSmith.
8. Strong understanding of machine learning concepts and generative AI models (i.e., GPT, Gemini, Mistral, Claude, etc.).
9. Exceptional problem-solving skills and the ability to think creatively to solve challenging problems with AI technologies.
10. Experience with Elasticsearch is a plus.
11. Ability to work in a distributed team throughout the world.

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