לוח משרות דרושים הייטק, לחיפוש זה נמצאו 4,374 משרות

You'll own and evolve the infrastructure and reliability of our production platform - a distributed, data-heavy system running on AWS and Kubernetes. You'll work closely with engineering to keep our services fast, reliable, and observable as we scale, while continuously improving our automation, deployment, and operational processes.
This role is a fit for someone responsible and hands-on, who wants to contribute to the team effort, take ownership, and keep learning and expanding their capabilities.
What You'll Do
Design, build, and operate scalable, resilient infrastructure on AWS and Kubernetes.
Own reliability: define SLOs/SLIs, improve observability, and drive down toil through automation.
Manage and tune our core data and workflow systems - ClickHouse, PostgreSQL, Kafka, and Temporal - for performance and reliability at scale.
Build and maintain CI/CD and GitOps workflows using ArgoCD and GitHub.
Manage infrastructure as code with Terraform.
Lead incident response, run postmortems, and drive systemic improvements.
Establish and improve engineering and operational processes suited to a company operating at scale.
Partner with development teams to make the right reliability, cost, and scalability tradeoffs.

We are looking for a Senior Software Engineer to solve complex technical problems and build dependable backend and platform systems that enable our product to scale. You will own work from design through production, balance near-term delivery with long-term maintainability, and help teammates grow.

What youll do
Design, implement, and operate scalable backend services, APIs, and platform capabilities.
Build robust systems and services in Go and Python.
Own technical design, delivery, reliability, security, and operational quality for your domains.
Work with Product, Design, Data, and other engineers to deliver customer value quickly and safely.
Improve engineering foundations, including test coverage, observability, CI/CD, performance, and developer experience.
Apply AI-assisted engineering tools responsibly while maintaining strong technical judgment.
Evaluate and build production AI capabilities where they are relevant to the product.
Review code, mentor engineers, and contribute to architecture and technical standards.

We're looking for a Backend Engineer to join our core team and help build the foundation of our company's AI-powered, CVE-free container security platform.
Responsibilities:
Take responsibility for our company's platform and infrastructure, building the core backend systems and services that power our revolutionary container security solution
Take ownership of the backend architecture, tech stack, and development processes, driving technical decisions across our factory's core components
Work closely with cross-functional teams to deliver high-quality software and implement best practices in backend development, API design, and system architecture
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery.

We're looking for DevOps Engineer to join our core team and establish the foundational infrastructure and practices that will scale our company's revolutionary container security platform.
Responsibilities:
Design, implement, and manage scalable cloud infrastructure on AWS to support our security platform, using Terraform and other infrastructure automation tools
Lead the deployment and management of containerized environments and microservices using Docker and Kubernetes
Design and build robust CI/CD pipelines using modern tools and methodologies to support rapid, secure deployments
Establish comprehensive monitoring, logging, and alerting systems to ensure platform reliability and performance
Work closely with engineering, product, and security teams to ensure seamless integration between development and operations.

We are seeking a Software Engineer to join our core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security.

Responsibilities
Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services).

Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms.

Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch).

Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls.

Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence.

Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic.

Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services.

Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices.

We are seeking an AI Security Researcher to join Dashs core research team. Youll investigate how AI agents - spanning coding agents, SaaS AI platforms, cloud, and endpoints - can be abused, and design detections that stop threats before they cause impact. Each platform is different, yet they share common risk patterns across prompts, tools, MCP servers, skills, hooks, identity, and data movement. Your mission is to master both: uncovering unique attack surfaces while building universal, session- and intent-aware defenses. This role combines deep platform research, responsible security testing, and close collaboration with engineering to translate findings into production runtime protection. You will help define the field of Agentic Security.

Responsibilities

Research agentic threats: Prompt injection, tool/plugin/MCP abuse, skill and hook misuse, rogue autonomy, identity misuse, data leakage, adversarial AI, and protocol exploitation across coding agents and enterprise AI platforms.

Develop runtime detections: Design detections for multiple environments (coding agents, SaaS AI, cloud, endpoints), leveraging platform hooks, APIs, telemetry, and native guardrails where available.

Analyze platform complexities: Deep-dive into architectures, permissions, workflows, and agent capabilities (MCP servers, Skills, plugins, extensions) while extracting cross-platform risk patterns.

Build scalable detection logic: Prototype and refine heuristics, signatures, and intent-aware detectors that hold up at enterprise scale with low friction for builders.

Investigate monitoring and enforcement boundaries: Push what platforms allow for visibility and control - hooks, plugins, configuration surfaces, inventory signals, and policy enforcement points.

Prototype PoCs: Validate attack paths end to end, then turn findings into production-ready signatures, heuristics, detectors, and runtime policies.

Collaborate with engineering: Embed research into Dashs detection pipelines, session-aware runtime protection, and policy/governance modules.

Stay ahead of the field: Track adversarial AI and agent security research, continuously evolving Dashs detection and enforcement coverage.

We're looking for an experienced Full Stack Engineer, focused on the frontend side to join our core team and help build the foundation of our company's security platform.
Responsibilities:
Take responsibility for our company's platform and infrastructure, building the frontend and backend experiences that make our revolutionary container security solution
Take ownership of the product, tech stack, and development processes, driving technical decisions across the frontend and backend
Work closely with cross-functional teams to deliver high-quality software and implement best practices in both frontend and backend development
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery.

We're looking for an experienced Low Level Engineer to join our core team and help build the foundation of our company's AI-powered, CVE-free container security platform.
Responsibilities:
Design and implement robust infrastructure for supporting secured assets, including our revolutionary CVE-free container images.
Build and maintain support systems for multiple Linux distributions, ensuring seamless integration with existing development workflows.
Work closely with our AI engineers, security researchers, and platform engineers to integrate low-level infrastructure with higher-level services.
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery.

We are looking for an experienced Project Manager to lead and drive a strategic core business system, managing end-to-end projects, business requirements, system modernization initiatives, and collaboration with vendors and internal stakeholders.
What you'll do:
* Lead and manage a mission-critical Billing system used across the organization.
* Own and drive the migration of the system to Oracle APEX.
* Analyze current-state processes, identify gaps, risks, and dependencies, and define project roadmaps.
* Manage project execution with software vendors, development teams, and business stakeholders.
* Lead business requirements gathering, process analysis, and solution design activities.
* Oversee development, testing, training, implementation, and production deployments.
* Lead system Testing, Integration Testing, and User Acceptance Testing (UAT).
* Manage integrations between core business systems and external platforms.
* Coordinate change management, release management, version control, and issue resolution processes.
* Prepare executive presentations, status reports, and project updates for senior management.
* Lead steering committees, project governance meetings, and cross-functional discussions.

We're looking for an experienced Security Researcher to join our core team and deep dive into CVEs, conducting cutting-edge vulnerability research that directly powers our company's revolutionary approach to eliminating container vulnerabilities at the source.
Responsibilities:
Conduct deep-dive research into CVEs and vulnerabilities, analyzing root causes and attack vectors to inform our AI-powered prevention platform
Perform reverse engineering analysis using tools like IDA Pro, Ghidra, or similar platforms to understand complex security vulnerabilities and exploitation techniques
Research and analyze complex low-level system mechanisms including kernel vulnerabilities, network security issues, and operating system weaknesses
Think outside the box, challenge existing assumptions, and create innovative approaches to vulnerability research and prevention
Work in a unique environment where your research insights are rapidly implemented into our product, creating direct real-world impact from your vulnerability research
Contribute to our company's technical knowledge base and help establish new methodologies for proactive vulnerability identification and mitigation.

We're looking for a Software Engineer to join our team and take ownership of building, maintaining, and shipping our company's CVE-free container images, libraries, and Helm charts at scale.
Responsibilities:
Build and maintain vulnerability-free container images, libraries, and Helm charts, working at the intersection of Linux systems, package management, and security,
Own the full artifact lifecycle - sourcing, patching, validating, and releasing new versions across images, libraries, and Helm charts
Clean CVEs end-to-end: scan, triage, patch, and validate fixes across our artifact pipelines
Ramp up on AI-assisted workflows and our current tooling to work efficiently at scale.

We are seeking a Head of Research to build and lead our research group reporting to the Co-founder and CTO. You'll set the research agenda for how AI agents, spanning coding agents, SaaS AI platforms, cloud, and endpoints, can be abused, and you'll turn that research into the detections and runtime protections that define our product. You'll build the team, the threat intelligence function, and the processes that keep us ahead of a threat landscape that changes weekly. This is a hands-on leadership role. You'll still go deep on platforms and attack paths while scaling research into a core differentiator of the company. You will help define the field of Agentic Security and be one of its leading voices.

Responsibilities

Lead and grow the research team: Hire, mentor, and manage AI security researchers. Build a culture of rigor, speed, and ownership.

Own the research direction: Proactively identify emerging agentic threats and platforms, prioritize research projects, and set a roadmap aligned with product and customer needs.

Build threat intelligence processes: Establish how we collects, triages, and operationalizes threat intelligence on agentic attacks. This includes in-the-wild abuse, malicious MCP servers, skills and extensions, and new techniques from the research community.

Drive research into product: Partner closely with engineering and product so findings become production detections, runtime policies, and governance capabilities. Own the coverage and quality of our detection logic.

Define detection strategy: Set standards for detection logic across environments, including coverage models, efficacy measurement, and false positive and false negative management at enterprise scale.

Stay hands-on: Lead deep dives into platform architectures, monitoring and enforcement boundaries, and end-to-end PoCs for the most critical attack paths.

Represent us externally: Publish research, advisories, and vulnerability disclosures. Speak at leading security conferences and build our reputation as the authority on agentic security.

Support customers and the field: Provide research expertise for customer engagements, incident investigations, and strategic accounts.

In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate our companys AI neural network processor implementation.
In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various companys processors architectures.
The project is using C/C++ OOP as main development language as well as python for AI neural network.
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing our company customers to run most advanced AI networks efficiently on our company NPU software simulation.