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we are looking for a Lead Detection Engineer .This is an individual contributor role with full technical ownership. You'll set the direction for detection engineering: the standards, the tooling, the coverage strategy, and the automation that operationalizes it all. You'll work closely with SOC analysts and Platform Engineering to make detection a first-class engineering discipline.

Youre welcome to work in our offices in Tel Aviv, Israel

Your responsibilities will include:

Detection coverage strategy across endpoint, identity, cloud, and infrastructure - how it's measured, prioritized, and continuously improved.
Detection-as-Code pipeline: version control, testing, peer review, CI/CD, and deployment practices for all detection logic.
Architecture connecting detections to enrichment, triage, and automated response workflows.
Technical standards for how detections are designed, tested, documented, deployed, and retired.
Detection quality: fidelity metrics, false positive reduction, coverage measurement, and continuous validation loops.
Design and build high-fidelity behavioral detections across SIEM and EDR platforms.
Research emerging attacker techniques and translate threat intelligence into scalable, evasion-resistant detections.
Validate detections through threat simulations and continuous detection testing.
Partner with SOC analysts to close the feedback loop between detections and real investigations.
Define and track detection engineering metrics; communicate coverage posture and effectiveness to security leadership.
Make architectural decisions that scale as the team and organization grow.

We are seeking a detail-oriented and experienced Regional Asset Manager to oversee the management of our Data Center IT infrastructure assets. You will play a crucial role in ensuring efficient utilization, tracking, and management of IT equipment to support operational excellence in IT department.

Key Responsibilities:
Be responsible for an inventory database for all IT assets, including servers, storage systems, networking equipment including data center IT components like GPUs, transceivers and many more.

Conduct regular audits of physical and virtual assets to ensure accuracy and compliance with company policies.

Manage the entire lifecycle of IT assets from procurement through deployment, maintenance, and eventual disposal.

Manage RMA process for GPUs, Motherboard, Power supplies, and many more data centre components.

Generate regular reports on asset utilization, performance metrics, and financial analysis related to the IT infrastructure.

Analyze trends and provide recommendations for optimizing asset performance and reducing costs.

Establish and enforce policies regarding asset management practices, including security, compliance, and risk management.

Ensure adherence to industry standards and regulations concerning IT asset management.

Work closely with IT departments, project managers, and other stakeholders to support projects and initiatives requiring asset allocation.

Communicate asset status and potential issues to senior management and relevant teams effectively.

Identify opportunities for process improvements in asset tracking, reporting, and life cycle management.

This role focuses on designing and implementing secure architectures across corporate networks and cloud environments. You will play a key role in defining secure solutions, reviewing system designs, and ensuring security is embedded across enterprise infrastructure.

The ideal candidate brings strong hands-on expertise in network and cloud security, along with the ability to work closely with IT, Infrastructure, DevOps, and Engineering teams to drive secure and scalable implementations.

Youre welcome to work in our offices in Amsterdam.

Your responsibilities will include:

Design and implement secure architectures across corporate networks, cloud platforms, and hybrid environments.
Define and maintain security standards, guidelines, and reference architectures aligned with organizational requirements.
Review and approve architecture and design of new systems, infrastructure, and network changes.
Design and support secure enterprise network architectures, including segmentation, Zero Trust, and remote access solutions.
Define and implement controls for firewalls, ZTNA, proxies, and network access control (NAC).
Design secure cloud architectures including IAM, networking, and workload protection.
Ensure proper implementation of cloud security controls such as segmentation, encryption, and monitoring.
Define and support identity and access management controls, including SSO, MFA, and privileged access.
Contribute to endpoint security architecture, including EDR/XDR and device hardening standards.
Identify security risks and architectural gaps and recommend mitigation strategies.
Participate in architecture reviews, risk assessments, and security design discussions.
Collaborate with SOC, Vulnerability Management, IT, and Engineering teams to improve overall security posture.
Support implementation of security architecture initiatives and improvements across the organization.

We are looking for a skilled Security Automation Engineer to join our SOC Automation team and play a key role in building and scaling automation across Security Operations. This is a hands-on role - you will design, develop, and integrate automation solutions across SIEM, EDR, and other security platforms, contributing to our SOAR capabilities from the ground up.

You will work in a technologically rich environment, integrating with a wide range of security and infrastructure systems across the network - a unique opportunity to build automation at scale in a greenfield setting, with real influence over the architecture and tooling decisions.

We are especially interested in candidates who are curious about leveraging AI and intelligent agents to help evolve next-generation automation and response workflows - and who want to be a driving voice in how we apply those technologies.

Your responsibilities will include:

Automation development

Design and develop automation workflows for incident response and SOC operations
Identify and eliminate manual processes through scalable automation
Build reusable components and maintainable automation patterns
Engineering & integration

Develop integrations using REST APIs, webhooks, and event-driven architectures
Write high-quality, maintainable Python for automation and orchestration
Implement data parsing, enrichment, and transformation across multiple systems
SOAR & platform buildout

Lead or actively contribute to the evaluation, selection, and implementation of SOAR/automation platforms
Design the automation architecture and integration strategy for the team
Build automation capabilities in a greenfield environment - your decisions will shape the foundation
SOC collaboration

Work closely with SOC analysts and incident responders to translate operational needs into automation solutions
Improve end-to-end detection and response workflows through close partnership with the team
AI & innovation

Actively build and evaluate AI/LLM and agent-based workflows applied to security automation
Prototype AI-assisted enrichment, triage, and response solutions and drive them toward production

Were looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
Youre welcome to work from our office in Prague, Berlin, London or in Amsterdam, hybrid or remotely. 

In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We are currently looking for senior- and staff-level ML engineers to work on research in areas such as:

Guided search and reinforcement learning for agentic systems
Reinforcement learning for reasoning models
Web-scale problem collection for training agents
Efficient model distillation
Some examples of what your responsibilities might include are:

Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments
Exploring methods of guided generation and search in the trajectory space
Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training
Conducting experiments with different reinforcement learning configurations in verifiable domains
Exploring methods to train AI agents on tasks with non-verifiable reward signals