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Required Senior Platform Architect
Job Description:
The Customer Success Senior Platform Architect is an advisory role, responsible for helping our customers establish a technical foundation in the Platform and design solutions that deliver outcomes. The Senior Platform Architect ensures customers use leading practices around instance strategy, technical governance, core data, integrations and the health of the platform. This is a consultative role focused on guiding us, partner and customer employees on the engagement team to provide a solution on an architecture designed for long-term success.
You will work with the customer across executive, platform owner, enterprise architects, and development teams during the selling, structuring, and implementation of solutions.
Be an architectural advisor across multiple engagements to guide customers, partners, and internal team members to provide successful customer solutions.
Provide a variety of architectural knowledge across multiple workflows.
Develop relationships with CoEI and business leaders at the customer site to understand our role in their digital transformation vision.
Translate goals to outcomes into a customer roadmap.
Translate business information and technical requirements into an architectural blueprint to achieve complex goals.
Engage with the customer's Enterprise Architects to position us as the digital transformation platform standard, integrated with the customer's core applications.
Manage technical governance, and a delivery operating model and governance.
Ensure instance health by working with the engagement team to reduce technical debt and align to our leading practices.
Support the sales effort by scoping and estimating the engagement and change orders.
Be an active contributor of leading practices and expertise related to the platform. 

Required Staff Data Scientist
Job Description
As a Staff Data Scientist, youll play a highly embedded and influential role within our Data Science organisation, partnering closely with Development and Product teams across multiple products within ITOM. Rather than simply responding to predefined requirements, youll bring your own creativity, domain expertise, and ideas to identify opportunities, challenge assumptions, and solve complex problems using real customer data.
What you get to do in this role:
Lead the development and evolution of advanced data science and machine learning capabilities, including noise reduction, anomaly detection, root cause analysis, and new AI-powered product features.
Own complex data science problems end-to-end, from problem definition and ideation through experimentation, model development, evaluation, productionization, and deployment.
Develop advanced algorithms and models using techniques such as machine learning, deep learning, NLP, anomaly detection, and statistical modeling.
Partner closely with Product, Engineering, Quality, and Architects to translate product requirements into scalable, reliable ML solutions.
Drive technical direction and mentor other data scientists, contributing to best practices in modeling, experimentation, evaluation, and ML engineering.
Stay current with advances in AI/ML and identify opportunities to apply emerging technologies to our products.

Required Principal AI Security Engineer
Job Description
Role
This is a hands-on architecture role: deep research, secure systems design, and prototyping, applied across product lines with minimal direction and broad latitude to set the technical agenda. You will set platform-wide direction for securing the AI development lifecycle, define the security architecture, agents, and models operating within it, and represent our AI security point of view externally. You'll be a technical authority other engineers and other teams look to on emerging AI-specific threats, working in close partnership with the AI security research team - drawing on their findings and feeding real-world attack surfaces back into their agenda.
What you'll do:
Own the security strategy and architecture for our Agentic AI ecosystem, LLMs, and models across product lines
Lead threat modeling for the most complex and novel GenAI/agentic surfaces: cross-agent autonomy, multi-agent tool orchestration, and emerging attack classes not yet standardised in the industry
Set the architectural standard for securing model/RAG/data pipelines platform-wide, including access-control and data-boundary models that other teams are expected to build against
Define what "secure-by-design" means for agentic systems, and drive adoption across engineering orgs
Represent our AI security posture externally (standards bodies, industry publications, conferences) and internally to executive stakeholders
Mentor and technically guide engineers on AI-specific security work

We seek a senior staff-level product security engineer to serve as a senior technical authority within the Product Security Incident Response Team (PSIRT). PSIRT is our awareness, response, and investigation capability for post-release vulnerabilities in our-developed products and service offerings.
This role is for a recognised expert who can operate independently and as part of a team on the most significant security issues facing the platform-vulnerabilities that require evaluating intangibles. You will lead deep-dive investigations, coordinate resolution across engineering, product, and release teams, and demonstrate calm, decisive leadership during significant security events.
This is a role for someone who already understands product development cycles and the engineering and product relationships that drive them-and will use that fluency to lead fixes to completion under incident pressure. You will help shape how we respond to product security vulnerabilities at scale and the technical rigour of the entire response capability.
The coverage provided by this role is:
Sunday: 10:00 - 18:00 UTC.
Monday: 08:00 - 16:00 UTC.
Tuesday: 08:00 - 16:00 UTC.
Wednesday: 08:00 - 16:00 UTC.
Thursday: 08:00 - 16:00 UTC.
Due to the nature of incident response and the needs of the business, coverage may change. Additional coverage outside of stated hours may be required in response to significant incidents.
Key Responsibilities:
Lead Through Significant Security Events:
Demonstrate technical and organisational leadership during these events-bringing structure and clear decision-making under pressure.
Partner with incident commanders, business information security leadership, engineering, and customer-facing teams to maintain clear ownership, workstream prioritization, and hand-offs during these events.
Reduce Exposure Window:
Drive coordinated response across affected releases, balancing risk and remediation feasibility.
Leverage an understanding of product development cycles and engineering/product partnerships to move fixes through the release pipeline without stalling on organisational boundaries.
Verify fix completeness and guard against incomplete mitigations before release.
Drive the CVE & Coordinated Disclosure Process:
Collaborate with external security partners, vendors, and researchers on coordinated disclosures, aligning timelines and messaging across parties.
Conduct technical accuracy reviews of external advisories, researcher write-ups, and joint disclosure content to ensure correctness before publication.
Represent PSIRT's technical position in multi-party coordinated disclosures and researcher engagements.

We seek a Staff Application Security Engineer to serve as the technical core of our bug bounty program within the Product Security Incident Response Team (PSIRT). This is the senior engineer who owns bug bounty reports from intake through resolution: reproducing and validating the vulnerability, assessing its severity, and seeing it through to a verified fix.
The work is deeply technical. Reproducing a vulnerability is only the starting point. From there you read the underlying code, identify root cause, and either propose the fix or design it alongside engineering before confirming it holds. You are also the person researchers deal with directly, which makes clear, credible communication as central to the role as the technical analysis itself.
As one of the most senior engineers on the team, you will set the standard for how triage is done and mentor earlier-career engineers. Beyond the bug bounty queue, you will conduct variant hunts, perform original platform security research, lead major product security incidents, and run forensic postmortems when a significant issue reaches production.
Key Responsibilities:
Triage and Resolve Bug Bounty Reports:
Own incoming reports end-to-end: intake, reproduction, severity scoring, root cause analysis, fix verification, and final disposition.
Reproduce and validate reported vulnerabilities, building out incomplete proof-of-concept code where needed.
Serve as the technical escalation point for the most complex and highest-severity reports, including multi-step exploit chains and cross-system issues.
Perform code review and root cause analysis to identify the underlying defect rather than the reported symptom.
Propose remediations, or design them with engineering, and verify the fix resolves the issue.
Assign and defend severity ratings using the program's severity framework.
Route issues to owning teams, file and track defects, and keep vulnerability records accurate through closure.
Own Researcher and Stakeholder Communication:
Act as our primary technical point of contact for bug bounty researchers across the full lifecycle of a report.
Handle severity and validity disputes directly, keeping every exchange clear, timely, respectful, and technically credible.
Translate technical findings for internal stakeholders and keep engineering and leadership current on status and risk.
Mentor the Team and Raise Triage Standards:
Provide technical mentorship to earlier-career PSIRT engineers, developing depth in reproduction, code analysis, severity judgment, and communication.
Set and maintain the bar for triage quality and strengthen program practices over time.
Lead Advanced Security Work Beyond Triage:
Conduct variant hunts to find related instances of reported vulnerabilities before they are discovered externally.
Perform original platform security research to surface issues ahead of external researchers.

Required Staff Software Engineer - Product Security
Job Description
Our Product Security organisation is building a dedicated Security R&D function - a software engineering team that builds security capabilities with the same engineering rigour as our product organisation. We are looking for a Staff Security Engineer to be a core contributor on this team.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with our AI Security Research team. You will help shape the teams engineering practices and technical foundation from day one.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do:
Build Security Capabilities:
Design and develop security tooling, automation, and platform services that operate at our enterprise scale.
Contribute code directly into our product engineering codebases, embedding security capabilities where they have the highest impact.
Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
Leverage our platform - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to create security capabilities that external vendors cannot match.
Collaborate Across Teams:
Work closely with the AI Security Research team on tooling for AI agent security, translating research insights into production-grade engineering.
Partner with product engineering teams during open contribution engagements, earning trust through code quality, reliability, and delivery.
Participate in design reviews, code reviews, and architecture discussions, contributing to the teams technical standards and engineering culture.
Grow with the Team:
Help define engineering best practices as a founding member of the Security R&D team.
Contribute to hiring and onboarding as the team scales, helping maintain the engineering bar.
Stay current on emerging AI/ML technologies and security threats, bringing new ideas into the teams roadmap.
What Makes This Role Unique
Builder-led culture: Security R&D is defined by engineering output, not advisory reviews. We build production security capabilities with the same discipline as product engineering.
Dual operating model: The team both contributes directly to product engineering and develops its own security products and services.
Platform advantage: we own the entire stack - runtime, ACLs, data layer, workflow engine. You will build security capabilities that no external vendor can replicate.
Founding team: This is a new team being built from scratch. You will shape its engineering culture, technical standards, and identity from day one.
AI intersection: The role sits alongside the AI Security Research team, placing you at the frontier of securing AI systems at enterprise scale.

our company develops and manufactures advanced autonomous drone systems that combine hardware, software, airborne systems, and ground systems.
We are looking for a capable Prototyping & Flight Test Specialist to join our Early Development Team.
This team is responsible for rapidly developing proof of concept solutions and first generation prototypes for new technologies, products, and operational capabilities. The role combines hands-on assembly, system integration, platform configuration, flight testing, and troubleshooting in a fast paced development environment.
Responsibilities
Perform mechanical and electronic assembly, including soldering, wiring, and component installation.
Configure, calibrate, and prepare platforms and system components for testing.
Conduct ground and flight tests for prototype systems.
Identify and resolve issues encountered throughout assembly, integration, and testing phases.

We are building the core infrastructure and operating system for autonomous platforms.
Our platform enables real-world autonomous operations by coordinating drones, docking stations, edge systems, operators, and external systems in real time. It serves as the operational backbone for mission execution, command and control, communication, telemetry, orchestration, and fleet coordination across distributed autonomous environments.
This is not a typical backend role.
You will work at the intersection of distributed systems, Command & Control (C2), autonomous platforms, and real-world operations.
We are looking for engineers who are comfortable entering complex and unfamiliar systems, quickly understanding how they work, and turning operational concepts into clean software models and architectures.
You should enjoy reasoning about entities, relationships, state, events, commands, missions, resources, and system boundaries - and designing software that represents and coordinates them reliably.
The platform includes:
Command & Control capabilities for autonomous systems
Fleet orchestration and mission lifecycle management
Real-time communication between distributed autonomous components
Modeling and management of operational entities, states, and relationships
Telemetry, video, and operational data processing
Device interoperability across heterogeneous autonomous platforms
SDKs and APIs for platform integration and extensibility
AI agents and intelligent automation interacting with operational systems
As a Senior Engineer, you will help shape the technical foundation and domain architecture of the platform while solving complex problems across distributed systems, autonomous operations, and Command & Control.
Responsibilities
Design and build software systems for autonomous platform operations and Command & Control
Translate complex operational requirements and domain concepts into robust software architectures
Model operational entities, relationships, state transitions, commands, events, and workflows
Lead architecture and system design decisions across services, communication layers, and domain boundaries
Build scalable, low-latency, resilient production services
Design reliable communication and messaging flows between distributed system components
Solve complex challenges involving concurrency, scalability, latency, synchronization, and fault tolerance
Build abstraction layers for integrating heterogeneous autonomous devices, platforms, and external systems
Develop internal SDKs, APIs, and reusable infrastructure components
Design systems that can be consumed and operated by humans, autonomous components, and AI agents
Improve observability, debugging capabilities, and operational reliability
Drive engineering best practices, clean architecture, and code quality standards
Explore new technologies and approaches when existing solutions are not sufficient

we are a leading company specializing in the development and manufacturing of autonomous drone systems. Its solutions combine hardware, software, and AI-driven technologies to support complex, large-scale operations. our company works primarily with defense industries, such as military and law enforcement agencies worldwide. The company is part of Ondas Holdings and operates as a wholly owned subsidiary.
We are looking for a System QA & Test Engineer to join our QA team and work on advanced, multi-disciplinary systems.
This is a hands-on role combining system testing, software and hardware integration, troubleshooting, and field activities. We are looking for people who enjoy working with complex systems, investigating problems, and spending time both in the lab and in the field.
Responsibilities
Plan and execute system and functional tests.
Perform integration and end-to-end testing across software, hardware, and system components.
Take part in field tests, trials, and system integration activities.
Work with simulators and different system interfaces.
Perform basic API testing using tools such as Postman.
Work in Linux environments for testing and troubleshooting.
Analyze logs, test results, and system behavior to identify issues.
Troubleshoot problems during lab and field testing.
Report and track defects using Jira.
Work closely with Software, System, Hardware, Integration, and Operations teams.