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we are looking for a Senior Security Researcher to join our research team. In this role, you will be at the bleeding edge of AI security, leading deep-dive research into AI products, LLM frameworks, and modern Agentic AI ecosystems.
You will combine hands-on defensive and offensive research techniques with cutting-edge platform to analyze modern AI products, dissect non-human identity architectures, and uncover privilege escalation paths in dynamic AI agent workflows. In this role, you will bridge deep security research, product engineering, and technical storytelling turning novel insights into real-world enforcement mechanisms, core platform capabilities, high-impact blogs, and talks at top global security conferences.
What We Do:
The Frontier of Identity and Agentic AI Security
we are pioneering the AI Agent & Non-Human Identity NHI) security space. Research-Driven Innovation
Our research directly powers our product capabilities uncovering complex identity attack vectors, analyzing enterprise AI products, and building security enforcement models for autonomous AI Agents.
Thought Leadership & PR We showcase our findings to the broader security community through technical publications, vulnerability disclosures, and global conference presentations. Innovation via Automation
We use AI Agents ourselves to accelerate research workflows, streamline environment analysis, and build smarter security checks. Direct Market & Product Impact
Our research bridges deep technical investigation and real-world defense, powering core platform enforcement 1 Senior Security Researcher capabilities, threat intelligence, and high-impact advisory for global enterprise customers.

is seeking a highly skilled Backend Engineer to join our dynamic team. The ideal candidate will have expertise in Backend technologies, with a strong focus on cloud infrastructures and event-driven architecture. This role will be central to developing and maintaining robust, scalable, and high-performance solutions that secure machine and non-human identities in cutting-edge ecosystems.
What Youll Do:
Design, develop, and maintain efficient and scalable cloud-native backend systems with a focus on securing token-based and machine identities.
Build and enhance API integrations with third-party applications to facilitate secure data collection and sharing.
Own the architecture of NHI agent services, ensuring scalability, networking efficiency, robust security, and data storage optimization.
Develop advanced monitoring and automation tools to maintain system stability and deliver performance benchmarks.
Design and implement big data solutions and pipelines for large-scale data processing and analytics using tools like Spark and Snowflake.
Take ownership of projects, driving them end-to-end from ideation and design to development, deployment, and maintenance.
Work collaboratively with cross-functional teams to define, design, and launch innovative features tailored to the NHI ecosystem.
Drive a customer-first mindset by understanding the users' needs and developing solutions that exceed expectations.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We’re looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of INFINIDAT NAS team. The selected candidate will be part of a professional team that develops in C++ over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.

Responsibilities:

* Design, develop, and maintain SW components for NAS, including file system management .
* Implement & optimize network file-sharing protocols (NFSv3/4, SMB/CIFS, S3).
* Troubleshoot and resolve complex issues related to performance, data integrity, and reliability through clustered env.
* Collaborate with QA, PM and other RnD groups (Core, UI/CLI, mgmt API, platform/HW).
* Write clean, well-tested, maintainable code and participate in code reviews.
* Improve code quality (python suites, code coverage, static analysis, memory leak detection).
* Contribute to system architecture decisions, especially around scalability, high availability, and fault tolerance.
* Monitor and improve system performance under high I/O and concurrent access conditions.
* Document technical designs, APIs, and operational procedures.