Senior Java Engineer - Security - Elasticsearch
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Summary
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.
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 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 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 a deep knowledge of edge identity protocols (OAuth 2.0, SAML).
- 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 possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
- You can work autonomously, supporting decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication
- Knowledge of cipher suites, TLS handshakes, and PKI/certificate lifecycle management. (advantage)
- Cryptographic methods considering memory usage and delays. (advantage)
- Familiarity with the implications of Post-Quantum Cryptography (PQC) and readiness to support the migration of services to quantum-resistant cryptographic algorithms. (advantage)
- Hands-on expe (advantage)