לוח משרות דרושים, לחיפוש זה נמצאו 34,417 משרות

Were looking for a Devops Engineer to join our core team and build the engine behind AI-native security. We aren't just building another dashboard, we are architecting a system that processes massive data streams and pushes AI models to their absolute limits to outthink modern attackers. If you are a builder at heart who thrives on high-scale challenges, ownership, and the fast pace of an early-stage startup, youll fit right in.
What You'll Do
Build and maintain our cloud infrastructure across multiple environments
Design CI/CD pipelines that let the team ship fast without breaking things
Implement security best practices at every layer of our stack
Create monitoring, alerting, and observability systems
Automate everything that can be automated.

Were looking for a Senior Frontend Engineer who is obsessed with turning complex data into seamless, high-end user experiences. At our company, the frontend is where our AI engine meets the human element-meaning youll be responsible for building intuitive, polished, and performant interfaces that make sophisticated security insights accessible. If you want to define the visual identity of a category-leading product and set the engineering standards for our frontend from day one, we want to talk.
What You'll Do:
Build the user experience for our platform from the ground up.
Create intuitive interfaces that surface critical insights from complex security data.
Work closely with product and design to define and refine the user experience.
Optimize applications for performance, scalability, and accessibility.
Shape our frontend architecture, standards, and engineering practices.

As a Trainer, you own how enterprise security teams learn the platform. You'll take analysts from their first query to advanced detection engineering and threat hunting, and you'll build the training content that makes that journey repeatable. You're equally comfortable leading a live workshop for a room full of cyber defense engineers, running a recorded Zoom session across time zones, and fielding the hard, specific questions that experienced practitioners ask.

This is a customer-facing, deeply technical role. You'll represent us in front of our most important customers, and what you hear in the classroom - the confusion, the "aha" moments, the recurring questions - flows back to our product and content teams to make the platform and its training better.


WHAT YOU WILL DO
Train enterprise security teams on the company`s platform, from onboarding sessions to advanced deep-dives.
Create custom training content - courses, hands-on labs, exercises, and reference material - tailored to customer environments and use cases.
Teach advanced usage to security teams: query language mastery, detection engineering, threat hunting, and investigation workflows.
Demonstrate complex attack techniques to security teams and explain how to detect and react to them.
Answer complex, real-world questions from customers during and after sessions, and know when to dig in yourself versus pull in the right expert.
Deliver sessions across formats: on-site workshops, live virtual sessions, and recorded content.
Share content publicly via our various platforms, including technical write-ups, recorded content, and online self paced training.
Help security teams understand how to build & integrate AI workflows into their security operations.
Interact with our community: Publish curated content, organize online events, build CTFs, engage with users and answer complex questions.

We are looking for a Software Engineer to join our Core Team. This team owns and evolves our core query and indexing infrastructure, working directly on our query engine, query optimizations, indexing engines and pipeline. Youll solve deep technical problems and help shape the architecture of high-performance, complex systems.

WHAT YOU WILL DO
Design, develop, and maintain connectors to Databases and SIEMs.
Add new indexing capabilities to our indexing pipeline.
Own technical decisions end-to-end from design to production rollout.
Collaborate closely with product, infra, and data teams to align on technical direction and integration.

We're looking for a Software Engineer to join our R&D team. In this role, you'll design and build scalable, high-performance systems that bring together rich backend capabilities and intuitive frontend experiences. You'll be part of a mission-driven team, building innovative technologies that enable security teams to detect, analyze, and respond to threats faster than ever before.


WHAT YOU WILL DO
Develop and own end-to-end features across the entire stack, from backend services to frontend interfaces.
Design and implement distributed backend systems that handle massive volumes of security data in real-time.
Build modern, responsive, and accessible user interfaces using React, TypeScript, Remix, Tailwind, and Shadcn.
Architect and maintain robust APIs and data contracts between the frontend and backend.
Collaborate with product, design, and security experts to deliver impactful user facing features.
Ensure high code quality by writing comprehensive unit, integration, and E2E tests using tools like Vitest, Playwright, and React Testing Library, as well as backend testing tools
Optimize system performance, reliability, and scalability on both ends of the stack.
Take part in critical architectural discussions and influence the technical direction of the platform.

We're looking for a Security Researcher to join our team at the intersection of security research, AI, and product. This isn't a traditional research role - you'll be deeply embedded in how the platform is built, working side by side with R&D, Product, and AI teams to make sure security expertise is baked into every layer of what we ship. You'll own detection and analytics research across cloud, identity, endpoint, and beyond, while actively shaping how AI capabilities are applied to solve real security problems at scale.

WHAT YOU WILL DO
Research and develop sophisticated detections and behavioral analytics across multiple security landscapes - cloud, identity, endpoint, network, and application - with a focus on coverage that scales across customer environments.
Work closely with R&D, Product, and AI teams as the security authority - reviewing features, shaping designs, and ensuring security logic is sound, practical, and impactful.
Apply an AI-native approach to detection and analytics challenges - leveraging LLMs, ML signals, and AI-assisted workflows to do things that rule-based approaches can't.
Identify gaps in detection coverage and analytical capabilities, and drive those findings directly into the product roadmap.
Analyze real-world attacker techniques and translate them into detection logic, hunting content, and analytical frameworks that ship as part of the platform.
Evaluate detection quality rigorously - measuring fidelity, coverage, and performance against real attacker behavior and production telemetry.
Stay sharp on the evolving threat landscape and rapidly incorporate new techniques, campaigns, and attacker tooling into our detection library.
Contribute to external research output - blog posts, talks, open-source tooling - that reflects our depth and point of view in the security community.

We're looking for a Data Scientist to join our team. As a Data Scientist, youll be a key member of our AI team, designing, building, and deploying cutting-edge AI systems that leverage large language models (LLMs), unstructured data, and advanced ML techniques. Youll be instrumental in bringing AI from research to real-world production, delivering high-impact features that drive our security platform.

In this role, you'll have a unique opportunity to solve complex problems, work with large scale data and be part of the core team that shapes the future of AI in the company.


WHAT YOU WILL DO
Design and develop end-to-end AI solutions, from data ingestion and modeling to deployment and observability.
Build and fine-tune LLM-based applications to tackle complex cybersecurity challenges.
Own the full ML lifecycle - from ideation and experimentation to production readiness.
Collaborate with product, engineering, and security teams to turn AI research into user-facing features.
Work with large-scale unstructured data (e.g., logs, threat intel, alerts) to extract meaningful insights.
Evaluate and optimize AI system performance, scalability, and reliability.
Contribute to core architectural decisions related to AI and ML infrastructure.