Senior Java Engineer (Security, Elasticsearch)
- Madrid, Spain
- Senior Level
- Posted
Skills
Required
- Cryptographic
- Java internals
- JVM
- memory management
- concurrency models
- distributed systems
- node-to-node mutual trust
- zero-trust transport
- partition tolerance
- cluster state propagation
- building authorization systems
- designing access models
- AI
Preferred
- mapping engine-level technical controls
- FedRAMP
- FIPS
- SOC 2
Join the Elasticsearch Security team as a Senior Java Engineer. In this role, you will contribute to the architecture and design of Elasticsearch's main features, including authentication, authorization, and tenant isolation. You will work with engineering and product leaders at Elastic, focusing on delivering high-performance security at all levels. Your responsibilities will include developing foundational security models, optimizing security performance, applying cryptographic solutions, and collaborating with peers across the company.
Contribuer à l'architecture et à la conception des principales fonctionnalités d'Elasticsearch, y compris l'authentification, l'autorisation et l'isolation des locataires.
Responsibilities
- Participer à la mise en œuvre de nouvelles fonctionnalités critiques en matière de sécurité, de l'architecture à la production, en se concentrant sur la livraison.
- Collaborer avec les pairs de l'entreprise pour intégrer la sécurité dans les nouvelles fonctionnalités pour les clients dès le départ.
Requirements
- You have deep knowledge of Java internals and JVM memory management. You understand how concurrency models work. You can write code that is high-performance, thread-safe, and lock-free. This experience includes working with large open-source and enterprise codebases
- You have a solid comprehension of distributed systems security, including node-to-node mutual trust, zero-trust transport, partition tolerance and cluster state propagation
- You have experience building authorization systems that are scalable and performant under high concurrency and large permission sets, including designing access models, validating credentials/tokens at scale, and keeping authorization decisions consistent across a distributed system
- You can work autonomously, supporting decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication
- You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still collaborating on the final outcomes
- You have a deep knowledge of edge identity protocols (OAuth 2.0, SAML)
- You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
- Experience working on the internals of a data store or search engine
- Familiarity with the implications of Post-Quantum Cryptography (PQC) and readiness to support the migration of services to quantum-resistant cryptographic algorithms
- Cryptographic methods considering memory usage and delays
- Knowledge of cipher suites, TLS handshakes, and PKI/certificate lifecycle management
Preferred
- Hands-on experience mapping engine-level technical controls to FedRAMP (Moderate/High), FIPS 140, and SOC 2 requirements
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