The eBPF APM team builds Datadogs zero-instrumentation observability platform, enabling automatic service discovery, Layer 7 protocol classification, traffic decoding, and high-fidelity RED (requests, errors, duration) metrics from both plaintext and TLS-encrypted traffic-without requiring customer code changes.

This work spans kernel-space eBPF, user-space Go services, and large-scale distributed systems, operating reliably across diverse Linux kernels, distributions, runtimes, and real-world production environments. The team tackles challenges in protocol evolution, TLS detection across languages and frameworks, and performance-critical data collection at scale.

We are looking for a Staff Engineer who will act as a technical owner and multiplier-driving architecture, influencing the roadmap, and ensuring our APM platform remains robust, scalable, and easy to adopt us and our customers grow.

What Youll Do:
Own major technical areas of the zero-instrumentation APM system, from design through long-term evolution and operational maturity.
Define and drive architecture for kernel-level traffic capture, L7 protocol decoding, and metric extraction using eBPF and Go.
Lead high-impact initiatives addressing protocol parsing, TLS visibility, kernel compatibility, and performance at scale.
Set technical direction and standards for reliability, performance, and maintainability across the team.
Partner cross-functionally with Agent, Tracing, Security, Runtime, and Product teams to align on system design and roadmap priorities.

We are looking for a talented software engineer with experience in the linux security domain. People that can explore new technologies, design and develop from scratch innovative ideas and drive new detection capabilities and infrastructure at scale to our products.
What will you do?
The role includes end-to-end responsibility for new detection capabilities, starting from researching the landscape of new Linux/Containers related security technologies through designing detection strategies and algorithms and delivering them at scale. You will work on low-level Kernel hooks to complicated detection engines and pure system engineering challenges. Your deliveries will enhance the security of different Linux and cloud workloads platforms protected by our product, that serves thousands of users (from enterprise & public sector clients across the globe, incl. some of the largest companies globally).
What your role will look like:
Software Development (70-80% of time)
Conduct low level research and Design of new features
Peer code reviews; Participate in teams design reviews
Teamwork
Learn new technologies in the Linux and Cloud workloads security domains
Architect end-to-end security solutions for complex features with loose problem definition
Modeling and POC of solutions for complex problems
Support customers with issues and requests within the teams domain

our company Cloud Security is seeking a Senior Security Researcher - AI Security to join our highly technical product research team working at the core of our cloud security platform. This is a rare opportunity to define a new discipline. AI security is an emerging field with few established playbooks, and you will help write them. In this role, you will own the research direction for AI security across our company's platform, uncovering novel risks in AI-native systems and translating that knowledge into product capabilities and industry-leading research. You'll be surrounded by experienced researchers and engineers who live and breathe security, with the space and backing to do original work in a domain that is rapidly evolving.
We're looking for an exceptional security researcher who can navigate ambiguity, think like an attacker, and bring clarity to a space that lacks it. You're curious, technically deep, and energized by the challenge of defining risk in systems that are still being understood.
Your Role:
Be at the forefront of an emerging discipline. Conduct technical analysis of AI frameworks, services, and architectures to discover novel risks, vulnerabilities, and attack vectors before they become industry-wide problems .
Define AI security risk by analyzing how exposure is created and exploited in AI systems. Collaborate with engineering and product teams to translate AI research into product findings.
Evaluate the risk of pre-trained models, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to define how shadow AI creates organizational exposure.
Author blogs, whitepapers, and technical advisories that set the industry narrative. Present original research at leading conferences and serve as our company's external voice on AI risk topics.
Analyze AI systems from an attacker's perspective to define trust boundaries, map attack techniques, and identify exploitable paths. Translate findings into product features and outbound research.
Investigate and analyze AI infrastructures and services to find 0-day vulnerabilities, security holes, weaknesses, and design flaws.

our company Cloud Security is seeking a Senior Security Researcher - AI Security to join our highly technical product research team working at the core of our cloud security platform. This is a rare opportunity to define a new discipline. AI security is an emerging field with few established playbooks, and you will help write them. In this role, you will own the research direction for AI security across our company's platform, uncovering novel risks in AI-native systems and translating that knowledge into product capabilities and industry-leading research. You'll be surrounded by experienced researchers and engineers who live and breathe security, with the space and backing to do original work in a domain that is rapidly evolving.
We're looking for an exceptional security researcher who can navigate ambiguity, think like an attacker, and bring clarity to a space that lacks it. You're curious, technically deep, and energized by the challenge of defining risk in systems that are still being understood.
Your Role:
Be at the forefront of an emerging discipline. Conduct technical analysis of AI frameworks, services, and architectures to discover novel risks, vulnerabilities, and attack vectors before they become industry-wide problems .
Define AI security risk by analyzing how exposure is created and exploited in AI systems. Collaborate with engineering and product teams to translate AI research into product findings.
Evaluate the risk of pre-trained models, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to define how shadow AI creates organizational exposure.
Author blogs, whitepapers, and technical advisories that set the industry narrative. Present original research at leading conferences and serve as our company's external voice on AI risk topics.
Analyze AI systems from an attacker's perspective to define trust boundaries, map attack techniques, and identify exploitable paths. Translate findings into product features and outbound research.
Investigate and analyze AI infrastructures and services to find 0-day vulnerabilities, security holes, weaknesses, and design flaws.

we are looking for an experienced Security Researcher to join our growing research team. The team's responsibility is vulnerability research for both PR purposes and research for our companys product. In this role, you will focus on vulnerability research of open-source projects and reverse engineering of low-level binaries. The team also focuses on AI security and low-level product security research.
A key part of your work will include analyzing internal code and identifying security risks to improve our companys overall security posture and support our PR efforts.
What you will do
Vulnerability Discovery: Research and discover vulnerabilities across AI applications, low-level products, and cloud environments, including the development of functional Proof-of-Concepts (PoCs).
Public Research & PR: Publish technical blogs and present your research at major security conferences.
Technical Product Research: Produce in-depth technical research and conduct reverse engineering of security products to directly support the development of our companys product and platform.
Stay up to date with newly discovered CVEs, attack techniques, and threat trends
Cross-Functional Collaboration: Partner with product and engineering teams to help improve our companys security.

Were looking for a senior engineer with strong systems-level thinking and a good understanding of Linux. You should be comfortable working close to the kernel, ideally with experience in eBPF, or with a strong desire to dive into it. Proficiency in C/C++/ Go is essential, and familiarity with networking protocols, TLS internals, or distributed tracing is a strong advantage.

Youll join a high-impact team tackling ambitious technical challenges-like decoding traffic across multiple protocols, and ensuring high-fidelity metrics in complex, real-world environments. Youll be expected to lead design and implementation efforts, contribute to roadmap planning, and collaborate across teams to ensure our solution remains robust, scalable, and frictionless for our users.

This role is a great fit for engineers who thrive on low-level, performance-sensitive problems, and want to shape the future of observability through cutting-edge kernel technology.

What Youll Do:
Design and build core components of our zero-instrumentation APM product using eBPF and Go.
Develop systems to auto-discover services, classify L7 protocols, and extract RED metrics from both plaintext and TLS traffic.
Solve complex challenges around protocol parsing, encryption handling, and performance at the kernel level.
Ensure broad compatibility across Linux kernel versions, distributions, and diverse customer environments.
Collaborate across teams to drive technical direction, improve reliability, and scale the system for production use.

We are a leading hybrid-cloud security company revolutionizing the way organizations manage cyber risk. We provide cutting-edge exposure management solutions by simulating real-world attack paths across cloud and on-prem environments. Our technology identifies misconfigurations, vulnerabilities, and identity exposures, allowing organizations to remediate risks with minimal effort. We are looking for a brilliant and motivated Product Management Intern to join our product team. This is a unique opportunity to sit at the intersection of Cybersecurity Research and Software Development, to add AI capabilities to the product. You wont just be watching. You'll be working with the Product group to brainstorm and TEST new AI-powered features for our platform.
Responsibilities:
* AI-driven research: use LLMs and AI tools to find better ways to explain and fix complex security issues. Use Python to analyze datasets and benchmark prompt performance to ensure AI accuracy in security contexts. Rapid Prototyping: Build functional Proof of Concepts (POCs) for AI Agents that automate complex security workflows. This includes enhancement to server-side attack simulation logic using Node.js, MongoDB.
* Work with Python and Node.js to develop innovative security solutions.
* Translate new cloud attack techniques into logic that our AI can simulate and explain.
* Collaborate with the development team to maintain and improve existing AI infrastructure.

We are seeking a highly skilled and experienced Windows Internals Team Leader to lead a specialized attack team focused on developing offensive, production-ready attack capabilities. This is a research and development (R&D) role at the core of our offensive security efforts. You will be responsible for architecting and delivering advanced low-level attack components used in evasion techniques, red team tooling, and adversary simulations.

You will be hands-on in both leadership and development, guiding technical direction, mentoring engineers, and contributing code across kernel-mode and user-mode components.

The Impact You Will Have

Lead the design, development, and deployment of production-grade offensive capabilities targeting Windows systems
Develop low-level Windows components including kernel-mode code, user-mode loaders, and OS-level evasion mechanisms
Implement Python bindings to connect native low-level components with Python-based research tools and automation
Debug complex issues in both kernel and user space using tools such as WinDBG and KD
Research and develop bypass techniques for modern Windows security controls
Collaborate with the Research Team and other R&D stakeholders to implement and refine offensive concepts
Provide technical mentorship and drive engineering best practices within the team

our company Cloud Security is seeking a Senior Vulnerability Researcher. In this role, you will research various cloud assets, roles, relations, and configurations to uncover 0-day vulnerabilities in major cloud providers and technologies. You will lead innovation, solve complex problems, and develop strategies for both attacking and defending cloud environments.
Furthermore, you will be in charge of fostering and spreading our company Cloud Securitys technical expertise. You will present your novel work at conferences and author papers and blogs. You will also build open-source cloud security tools and solutions.
If youre a curious, creative, technical person with an attackers mindset, strong systemic thinking, and a passion for taking things apart and understanding how they work, we encourage you to apply.
Your Role:
Investigate and analyze the multi-cloud stack to find 0-day vulnerabilities, security holes, weaknesses, and design flaws
Follow emerging security threats, author blogs about novel research, publish content, and speak at conferences
Conduct technical research on cloud platforms to yield new insights, theories, analyses, TTPs
Serve as a technical leader and contributor for a research team exploring emerging cloud technologies and services.

our company Cloud Security is seeking a Senior Vulnerability Researcher. In this role, you will research various cloud assets, roles, relations, and configurations to uncover 0-day vulnerabilities in major cloud providers and technologies. You will lead innovation, solve complex problems, and develop strategies for both attacking and defending cloud environments.
Furthermore, you will be in charge of fostering and spreading our company Cloud Securitys technical expertise. You will present your novel work at conferences and author papers and blogs. You will also build open-source cloud security tools and solutions.
If youre a curious, creative, technical person with an attackers mindset, strong systemic thinking, and a passion for taking things apart and understanding how they work, we encourage you to apply.
Your Role:
Investigate and analyze the multi-cloud stack to find 0-day vulnerabilities, security holes, weaknesses, and design flaws
Follow emerging security threats, author blogs about novel research, publish content, and speak at conferences
Conduct technical research on cloud platforms to yield new insights, theories, analyses, TTPs
Serve as a technical leader and contributor for a research team exploring emerging cloud technologies and services.