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We are looking for one architect to own both layers. Your foundation is deep platform and DevOps architecture: reliability, scalability, security, and cost efficiency of the cloud platform every R&D team builds on. Your growth edge is the AI layer: designing how agents are orchestrated, how they access tools and data safely, how we evaluate whether they work, and how we govern their cost and behavior in production.

We know agentic AI is a young discipline. We are not looking for a decade of AI experience that does not exist. We are looking for a proven platform architect who has spent the last one to two years genuinely building LLM-based and agentic systems in production, and who wants to own where this field goes inside a company that takes it seriously.

What Youll Do:
Platform & DevOps
Cloud Architecture: Own the architecture of our cloud platform, including GKE fleet design, VPC networking, IAM/Workload Identity, and multi-environment strategies across GCP (and AWS where relevant).
IaC & GitOps: Lead Infrastructure-as-Code (Pulumi, Terraform) standards, ArgoCD deployment patterns, and secure CI/CD paved paths (GitHub Actions, GitLab CI) adopted by all R&D teams.
Reliability & Observability: Own reliability architecture, including Disaster Recovery (DR) strategy and drills, P1 incident reduction, MTTR improvement, and observability platform architecture (Datadog, Prometheus, Grafana, OpenTelemetry) including usage and cost optimization.
FinOps: Drive FinOps as an architectural discipline-rightsizing, idle-resource elimination, unallocated-spend attribution, and cost-aware design reviews using tools like Kubecost or GCP Cost Management.
Agentic AI

Agent Architecture: Design our agentic AI ecosystem, focusing on agent orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen), tool/MCP (Model Context Protocol) interfaces, vector databases/memory strategies (e.g., Pinecone, Qdrant, pgvector), and production AI deployment patterns.
Evaluation & Guardrails: Build the evaluation and guardrail layer for AI in production using frameworks like Ragas, TruLens, or LangSmith. Define permission models, human-in-the-loop checkpoints, audit logging, and policy-as-code for AI usage.
AI FinOps & Monitoring: Own AI cost observability, token spend monitoring, model routing strategies (optimizing for cost/quality/latency trade-offs), and real-time alerting on runaway model usage.
Reference Architectures & Standards: Define reference architectures for teams building AI features, RAG patterns, prompt versioning/management, and model API standards (OpenAI API, Anthropic, open-source models via vLLM/Ollama), driving high-leverage AI automation across R&D.

we are looking for an experienced DevOps Engineer to join our growing team. As a DevOps Engineer, you will play a critical role in optimizing and automating our infrastructure and deployment processes. You will work closely with the development and operations teams to ensure the reliability, scalability, and security of our platform while continuously improving our CI/CD pipelines. The ideal candidate is passionate about automation, loves working with cutting-edge technologies, and thrives in a collaborative environment.
What you will do:

Design, implement, and manage scalable, highly available infrastructure in our AWS-based cloud environment

Develop and maintain continuous integration and delivery pipelines to allow developers to push bug fixes and enhancements in a quick and safe manner.

Build our monitoring, logging, and alerting systems to ensure high availability, performance, and reliability. Rapidly identify and resolve production issues.

Work closely with developers and product teams to ensure seamless deployments and improve system performance.

Ensure the infrastructure and deployment processes adhere to best practices in security and compliance.

Develop specific infrastructure solutions to customers in order to allow us to provide our services to customers in highly-regulated industries.

Join a team of senior engineers operating in a large-scale, multi-cloud production environment supporting tens of thousands of enterprise customers worldwide. This is not a typical SRE role - youll work at the core of a complex, high-impact system alongside experienced DevOps professionals in a fast-paced, cybersecurity-focused organization.
Your Impact:
Own and operate large-scale, global production environments across multiple cloud providers (GCP, AWS, Azure)
Actively monitor, investigate, and resolve incidents triggered by automated alerting systems (PagerDuty / Incident Response)
Drive end-to-end troubleshooting across complex, distributed systems with high context switching
Design, deploy, and improve monitoring and observability systems (e.g., Prometheus, Grafana) - not just react to alerts
Collaborate closely with internal teams (CX, CS, Engineering) to ensure system reliability and performance
Work hands-on with modern DevOps and infrastructure tools including Kubernetes, Terraform, CI/CD pipelines, and GitOps workflows
Develop and maintain automation and tooling (primarily in Python)
Gain deep understanding of system architecture and interconnected services
Contribute to a culture of operational excellence in a high-scale, high-availability environment
On call responsibilities:
Daytime hours (12:00-20:00)
Occasional weekends and holidays (rotation-based).

We are looking for a Network engineer to join our IT Network team. We are looking for an all-around player who will join our network team performing a variety of tasks including WAN/LAN infrastructure Cloud networks and High-performance networks support and maintenance and Developing/Automating the IT infrastructure.
Responsibilities:
Maintaining the network's integrity including implementing new systems, troubleshooting and repairing network issues, as well as developing, applying and enforcing best practices and policies
Defining, installing and maintaining new network solutions
Monitoring the network performance over time
Managing multi-vendor environment (Juniper, Cisco, Arista, Dell, Fortinet)
NETOPS attitude (network as a code, network automation, auto provision)
Tier 3 and tier 4 troubleshoot and support
Supporting various development Departments.

We are looking for an experienced Data Center Operations Engineer to join our IT department. In this role, you will maintain and support a large-scale global server and GPU infrastructure, monitor and troubleshoot hardware failures, and collaborate with senior system specialists to resolve complex issues across production and research environments.
We offer a dynamic, innovative production and research environment and expect a strong commitment to maintaining high service availability, performance, and reliability.
Responsibilities:
Deploy (rack and cable) new servers, GPUs, and infrastructure hardware.
Monitor and troubleshoot IT infrastructure hardware issues across all company data centers.
Coordinate vendor engineers site visits.
Perform hardware break/fix activities including replacement of drives, RAM, CPUs, GPUs, power supplies, and other server components.
Maintain firmware versions up to date.
Manage company data center inventory.
Monitor and manage DC environment parameters including power usage, airflow, cooling, and rack capacity.
Support and keep hardware in an high-performance compute environments used for compute-intensive workloads and research activities.

Were a team of hungry, high-character professionals from all backgrounds who came together to reinvent work for the modern enterprise.

What you will do:

Improve RnD velocity by finding ways to improve CI stability and performance.
Build and maintain CI pipelines that will deliver a high-quality standard of code to our customers.
Create monitoring tools and metrics to understand R&D pain points, identify production issues, and ensure the product always works.
Allow developers to write E2E tests for any feature needed while supporting all platforms.
Create tools for developers to work locally and on the developer stage, allowing them to troubleshoot and test the code more easily before merging.

In this role, you will have the opportunity to work with a small, but highly skilled and talented team. You will have the freedom to self-promote and take on additional responsibilities as you see fit. This is a great opportunity for someone who is looking to make a big impact in a dynamic and fast-paced environment.



Some key responsibilities for this position include:

Design, implement and maintain our production infrastructure, including our multi-cloud-based systems and servers
Develop and maintain our CI/CD pipelines to ensure smooth and efficient releases
Utilizing cloud technologies such as AWS and Kubernetes to deploy and scale Islands product
Building and maintaining monitoring tools to ensure the stability and security of our product
Collaborating with the team to identify and troubleshoot issues in the production environment

Come join us in building something that's already changing how the world works Were a team of hungry, high-character professionals from all backgrounds who came together to reinvent work for the modern enterprise. And were always looking for world-class human beings to join us.



Responsibilities

Develop and execute project plans to ensure technical alignment and compliance with relevant regulations and standards.
Work closely with cross-functional teams to ensure execution and achieve common goals.
Process Improvement: Identifying and addressing bottlenecks or inefficiencies to improve productivity and quality. This involves analyzing existing workflows, implementing processes, and recommending automation or technology enhancements.

As a Security Operations Engineer , you will be a core member of the SecOps team, owning incident detection, triage, and response across infrastructure and enterprise browser platform. You will work closely with the SecOps Lead to mature our IR capabilities, build the automation and tooling that power our operational workflows, and help keep and its customers ahead of real-world threats.

This is a hands-on, build-and-operate role - ideal for someone who is equally comfortable writing a detection rule, investigating a live incident, and shipping a Torq workflow before end of day.

Key Responsibilities

Incident Response: Lead and participate in the full incident lifecycle - detection, triage, investigation, containment, and post-mortem. Own runbooks and ensure they reflect current threat landscape and tooling.
Detection Engineering: Develop, tune, and maintain detection rules across SIEM, EDR, and security audits. Minimize false positives; maximize signal value.
Security Automation: Build and improve automated response workflows using platforms like Torq; reduce manual toil on alert triage, enrichment, and escalation paths.
Threat Monitoring & Hunting: Continuously monitor the environment for anomalies and indicators of compromise; proactively hunt for threats aligned to our threat model.
Cloud Security Operations: Investigate and triage findings from cloud-native security tooling (Wiz, AWS CloudTrail); collaborate with engineering teams on remediation of infrastructure-level issues.
Tooling & Integrations: Contribute to the ongoing development of the SecOps toolchain - integrating alert sources, building dashboards, and improving the Jira-based alert center.IR Documentation: Maintain incident.io flows, response playbooks, and post-incident reports; contribute to the team's runbook hub.

We are seeking a Senior/Principal Linux Security Researcher for our Tel Aviv R&D center to advance our Cortex-XDR Agent for the Linux platform, which provides runtime protection to servers and cloud workloads. In this role, you will be a key member of a team responsible for researching, developing, and improving our Anti-Exploit and Anti-Malware capabilities. Your work will involve deep exploration of OS internals, exploits, malware, delving into cloud security, and finding ways to mitigate new attack vectors.
Key Responsibilities
Research, develop, and improve state-of-the-art endpoint security solutions focused on comprehensive prevention. This includes broad defense against attack classes like malware and exploits, spanning from low-level mitigations to application-level security
Research Linux OS internals, kernel, application codebases, vulnerabilities, malware and exploits
Respond to security events coming from customers, in the context of malware and exploitation prevention.

We are looking for a Linux Internals Software Engineer for our Tel Aviv R&D center. You will be part of a team that designs and develops the Linux internals components of our revolutionary endpoint security product for the Linux platform
More information about Cortex XDR product can be found here.
Key Responsibilities
Design and implement innovative capabilities for a market-leading product, deployed on a range of platforms from bare-metal to the cloud.
Develop critical components in the Linux internals parts of the product, including user and kernel-mode OS-related infrastructures in both C and C++.
Utilize cutting-edge Linux technologies for real-time event collection, anti-malware, anti-exploitation, and network filtering.
Lead features by collaborating and coordinating with other development and QA teams to ensure alignment on shared objectives.
Uphold and contribute to a team culture that values software development best practices and high standards for quality.

As a Senior SRE Engineer, you will be a key player in ensuring the reliability, scalability, and performance of our critical IT infrastructure. You will leverage SRE principles and an automation-first mindset to build and maintain resilient hybrid cloud environments. This role is ideal for a candidate who thrives in a fast-paced, innovative setting and is passionate about solving complex challenges with cutting-edge technology.
Key Responsibilities
Provision, configure, and support resilient hybrid cloud deployment architectures using an Infrastructure-as-Code framework.
Proactively collaborate with development teams to ensure new applications are production-ready, scalable, and reliable from inception.
Develop and maintain tools and frameworks to automate operational tasks, including deployment, monitoring, and recovery.
Conduct thorough root cause analysis of production issues and implement preventative measures to improve system resilience, demonstrating strong problem-solving skills.
Manage CI/CD platforms, Linux infrastructure, and contribute to capacity planning and operational runbooks.
Design and implement proactive service monitoring, alerting, and trend analysis to maintain service availability and performance SLAs.
Participate in an on-call rotation to support critical applications and services, responding to and resolving incidents efficiently.
Contribute to comprehensive documentation related to infrastructure design, deployment, and operational procedures.