USD per year
Principal Java Developer II - Security - Elasticsearch
What is The Role:
Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Principal Software Engineer II to lead the architecture and implementation of Elasticsearch’s core authentication, authorization and tenant-isolation primitives. You will partner with leaders across Elastic to deliver end-to-end security guarantees, ensuring our distributed data stores provide best-in-class security and identity management features at scale!
What You Will Be Doing:
Lead Critical Initiatives: Take ownership of and drive complex, multi-functional security initiatives from conception to delivery. You will be responsible for defining technical strategy, roadmaps, and execution for major security architectural components within Elasticsearch, such as:
- Developing the foundational security models for intricate features.
- Optimizing security performance at massive scale within distributed systems environments.
- Applying cryptographic solutions to address genuine customer use cases.
- Ensuring robust data isolation within shared infrastructure supporting disparate customers.
Technical Mentorship: Drive technical excellence and develop a culture of security awareness and high-performance engineering across the team, guiding senior engineers in development practices. Technical Leadership: Act as a principal voice in architectural and design discussions, guiding the security posture and development practices of Elasticsearch and the Elastic Stack, and driving long-term security strategy within the team and across the organization.
- Translate customer needs into a clear, relevant technical vision.
- Monitor and apply industry advancements and best practices in security areas, including authentication, identity management, cryptography, and data access management.
- Collaborate with peers across the company to embed security into new customer features from the outset.
What You Bring:
- Expert Core Java and Concurrency: Deep expertise in Java internals, JVM memory management, and writing high-performance, lock-free, and thread-safe code in large OSS codebases.
- Authorization at Scale: Proven experience building scalable AuthZ systems, including RBAC/ABAC models, token validation, permission compilation, and cache invalidation strategies in distributed databases.
- Distributed Systems Fundamentals: A strong understanding of distributed systems security, including node-to-node trust, secure transport, and partition tolerance.
- Vision & Roadmap: Collaborate with engineering and product leadership to define the technical vision and roadmap for authorization and data isolation features within the Elasticsearch security domain, translating high-level business goals into concrete,...
- IAM & Cloud Security: Deep knowledge of edge identity protocols (OAuth 2.0, SAML).
- Cross-Team Teamwork: Act as the primary technical point of contact for security features,...
Bonus Points:
- Applied Cryptography: Deep understanding of cipher suites,...
- Compliance Frameworks: Hands-on experience mapping technical controls to FedRAMP (Moderate/High), FIPS,...
- Data Store Internals: Experience working on internals of a data store or search engine.
Additional Information - We Take Care of Our People:
As a distributed company,... We strive to have parity of benefits across regions:... Elastic is an equal opportunity employer committed to an inclusive culture celebrating different perspectives. For accommodation requests during application or recruiting process: candidate_accessibility@elastic.co
Compensation:
Base salary range: $192500—$304500 CAD (typical starting range) Additional benefits include participation in Elastic's stock program... This is a posting for an existing vacancy actively seeking qualified candidates. Apply Now (R11103)
Elastic helps turn endless data possibilities into real results with the power of Search AI. They offer solutions in Search, Observability, Security, and Generative AI, enabling real-time insights, AI-driven security analytics, and unified app and infrastructure visibility. They emphasize open source, distributed work culture, and data security.
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