Senior Software Engineer - Security - Elasticsearch

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. They are seeking a Senior Software Engineer to join the Elasticsearch Security team, focusing on enhancing security features such as authentication and authorization while ensuring high-performance security at scale.

Responsibilities:

• Contributing to core security initiatives from architecture to production, focusing on the delivery of new critical features. Participating in the technical design, planning, and execution for major security components inside the Elasticsearch core engine
• Developing the foundational security models for features
• Optimizing security performance at scale in distributed systems environments
• Applying cryptographic solutions to address genuine customer use cases
• Ensuring robust data isolation within shared infrastructure supporting disparate customers
• Monitoring and applying the latest advancements and best practices in security. This includes authentication, identity management, cryptography, and data access management
• Collaborating with peers across the company to embed security into new customer features from the outset
• Drive vulnerability management efforts by collaborating closely with the InfoSec team to proactively identify, assess, and remediate security risks
• Leverage AI-driven tools to automate vulnerability triage, prioritization, and preliminary investigation, streamlining security workflows and reducing manual intervention

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
• 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
• Cryptographic methods considering memory usage and delays
• Familiarity with the implications of Post-Quantum Cryptography (PQC) and readiness to support the migration of services to quantum-resistant cryptographic algorithms
• Hands-on experience mapping engine-level technical controls to FedRAMP (Moderate/High), FIPS 140, and SOC 2 requirements
• Experience working on the internals of a data store or search engine