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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'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'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.

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.

In this role, you will design, optimize and develop features in the simulator.
Simulators are used daily by our architecture, algorithms, system, VLSI and QA teams - and by our company customers running the most advanced AI networks on our processors.
The development language is C/C++ (OOP) on Linux and Windows platforms.
Responsibilities:
Design and develop simulation software for our companys NPU and DSP platforms within an agile, top-notch software organization.
Perform in-depth analysis and optimization of simulator performance and accuracy across multiple our company processor architectures.
Dive into a large existing codebase to debug and deliver clever solutions to complex software challenges.
Interact and engage with architecture, algorithms, system, VLSI and QA teams, including remote design centers.

You will be a key contributor to our companys AI Graph Compiler software stack for NPUs, designing system-level execution flows for advanced neural networks, including LLMs.
The role focuses on L1/L2 memory management, data movement, and performance optimization, working closely with compiler and hardware architects.
What will you do:
Design and own key components of our companys AI Graph Compiler.
Develop and optimize neural network execution flows and memory management.
Enable complex AI workloads, including LLMs, and implement new NPU features.
Analyze performance bottlenecks and drive system-level optimizations.
Collaborate with compiler and hardware teams on HW-SW solutions.

In this role, you will have a direct impact on our product quality. As a team member in our SW team, you will be responsible for the development and operating of different SW and HW blocks in our system, analyze, optimize and debug your work and test the results and explore issues on your developed modules and other modules you will integrate with.
You will solve complicated failures and bugs and will dive into the code and the HW to understand why the failure occurs. You will be responsible for managing your developed products, including full test plan that will drive our system to zero bugs on the customer side
You will use the newest AI tools to speed up your development and debugging
Responsibilities:
Design, implement, maintain, optimize, and run various SW parts that are needed for the 5G Modem, including HW blocks drivers programming and operation.
Analyze and debug test results and explore results and issues.
Verify functionality and code performance of your developed code.
Track problematic code parts and work on improving them, WRT code cycle performance and code size performance.

Required Software Engineer III, Database Migration, Cloud
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

We are seeking a DevOps Engineer, at the mid or senior level, to join our infrastructure team, reporting directly to our DevOps Team Leader. Depending on experience, this role will either contribute to or help drive advanced infrastructure initiatives - from system design through production hardening - as we raise the bar for operational excellence across the company.
The immediate challenge: Vetric operates a high-volume, multi-account AWS environment. You will help solve complex delivery, scaling, and operational problems along the way. Scope and ownership will be calibrated to your experience level.
Responsibilities:
Contribute to Cloud & Migration Strategy: Work alongside our DevOps Team Leader to help plan and execute our migration from ECS Fargate to Kubernetes (EKS) without downtime, while maintaining our existing cloud estate.
Advance Infrastructure as Code: Design and implement modern, modular IaC frameworks utilizing Terraform and OpenTofu to ensure consistent, multi-environment deployments.
Improve Enterprise CI/CD: Evolve our delivery pipelines (GitHub Actions, OIDC federation) at scale, reducing developer friction and elevating deployment safety across dozens of services.
Support Data-Intensive Infrastructure: Help maintain the performance, capacity, and resilience of our high-volume data layer (ClickHouse, ScyllaDB, DynamoDB, RDS, Redis) and event-driven messaging pipelines.
Strengthen Reliability & Observability: Help maintain organization-wide reliability standards using open, modern telemetry stacks (OpenTelemetry, Coralogix, Grafana), ensuring on-call operations are driven by signal, not noise.
Balance Growth & Governance: Participate in technical tradeoff decisions that balance velocity, least-privilege security, zero-trust access (Tailscale), and FinOps cost efficiency.

Required Hardware/Silicon Engineering PhD Intern, 2027
Please complete your application before 23rd October 2026.
About the job
The Cloud and AI Infrastructure team in Israel focuses on building our next-generation systems. The teams work is grounded in creating custom hardware, and as an Intern you'll get to collaborate with engineers from various parts of the organisation to influence the future of Cloud and the AI infrastructure by working on the foundational technology that makes it all possible. This is the hardware that powers everything from Cloud, to our most advanced models like Gemini.
As an intern, you will work on fundamental problems at the intersection of hardware, software, and algorithms. You will collaborate with exceptional engineers and researchers on projects that directly impact our custom silicon portfolio, including general-purpose CPUs, highly specialized AI accelerators like our Tensor Processing Units (TPUs), and complex Systems-on-a-Chip (SoCs). Your responsibilities and projects will be tailored to your expertise and could focus on any part of the system stack. This may include:
Algorithmic Innovation: Developing and analyzing new algorithms that are deeply co-designed with our custom hardware.
Software and Compilers: Building the software stack, compilers, and performance analysis tools that unlock the potential of our unique architectures.
System Architectureand and Modeling: Architecting and modeling future CPUs, TPUs, and SoCs to guide critical design decisions.
Hardware Design and Verification: Contributing to all aspects of silicon creation, from logic design and verification to VLSI physical implementation.
Responsibilities
Responsibilities and detailed projects will be determined based on your educational background, interest, and skills.

Required Software Engineer III, Infrastructure, Filestore
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Responsibilities
Be responsible for Filestore data-plane layers. Starting from the entry point, networking/protocol termination, through a proprietary in-house distributed performant highly available file-system that is the core of Filestore cloud service.
Develop many new customer-facing features critical for meeting product business roadmap, as well as enhancing existing infrastructures for better reliability and new requirements.
Drive the development of new features, infrastructure, and performance improvements in a complex distributed and performance sensitive system.
Work with peers from other aspects of the product development lifecycle, including all filesystem engineering teams, product management, program management, CP, SRE, UX/UI.

As a senior compiler engineer, you will own the design and development of our companys open source based toolchain and graph compiler. You will drive technical solutions end-to-end, deliver compiler capabilities across all our company hardware targets, and help mentor engineers. Our team embraces an AI-agentic development flow, leveraging AI coding agents to accelerate engineering productivity, and we are looking for engineers who champion this approach.
Responsibilities:
Design and develop our companys open source based toolchain targeting custom DSP and NPU architectures.
Drive design and delivery of graph compilation flows: transformations, operator mapping, and code generation.
Champion AI-agentic development practices - integrating AI coding agents into day-to-day engineering workflows.
Own complex components end-to-end, from architecture and design through implementation and delivery.
Provide technical guidance and mentorship to engineers; conduct code reviews.
Collaborate with hardware architecture, algorithms, and software teams globally.
Analyze and optimize toolchain output for performance and correctness across our company processor families.

We are seeking a passionate and skilled Full Stack Team Lead with a strong background in Frontend technologies and knowledge of backend development as well. This role offers a unique opportunity to significantly contribute to one of the company's major growth drivers.
Responsibilities:
Full Development Lifecycle: Lead end-to-end development of products and features, from architecture and design to production.
Responsive Web Interfaces: Create responsive web interfaces using Vue.js and Node.js, ensuring optimal user experience across various devices.
Feature Ownership: Develop and own complex features and projects, with a strong emphasis on Frontend development.
Project Leadership: Lead projects independently with a proactive and self-sufficient approach. Solid understanding of architectural patterns for high-scale web applications, including well-designed APIs, optimized database schemas, efficient algorithms, and query patterns. Hands-on experience with Cloud Computing platforms, Microservices, Kubernetes, and a deep understanding of scaling and reliability issues.
Modular Components: Build modular, reusable components and libraries to contribute to a robust front-end architecture.
A proactive, self-driven approach to getting things done.