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we are seeking a seasoned Senior CI/CD DevOps Engineer to join our CloudOps team. In this pivotal role, you will be the architect of our delivery ecosystems, designing and scaling high-performance CI/CD engines and Kubernetes-based infrastructure across multi-cloud environments.
You will bridge the gap between code and production, leveraging GitOps principles and advanced automation to accelerate our SaaS and On-Prem release cycles. If you thrive on building "Infrastructure as Code," mastering complex Jenkins pipelines, and securing cloud-native systems at scale, this is your next challenge.
Key Responsibilities:
Architect CI/CD Ecosystems: Design, implement, and maintain enterprise-grade CI/CD pipelines using Jenkins and Shared Libraries (Groovy) to standardize delivery across R&D.
Infrastructure as Code (IaC): Drive the automation of global cloud footprints (AWS) using Terraform, ensuring modularity, reusability, and state management.
Kubernetes Orchestration: Manage and optimize large-scale EKS clusters, focusing on high availability, auto-scaling, and cost-optimization.
GitOps Advocacy: Implement and champion GitOps workflows to ensure the "source of truth" always resides in Git, automating deployments and drift detection.
Advanced Scripting: Develop sophisticated tooling and automation logic using Python and Bash to eliminate manual toil.
Hybrid Cloud Delivery: Support complex release automation for both high-velocity SaaS environments and secure On-Prem deployments.
System Reliability: Troubleshoot complex production bottlenecks, optimize container performance, and mentor junior engineers on best practices.

Were looking for an exceptional Lead Security Researcher to join our world-class Security Research organization. This is a hands-on technical leadership role for a senior researcher who wants to drive research direction, depth, and real-world impact.
This role sits at the intersection of deep offensive research and strategic defensive thinking - influencing how modern cloud-native attacks are detected, understood, and stopped at scale.
What Youll Do:
Provide technical leadership and mentorship to security researchers, setting a high bar for research quality, depth, and execution.
Research and analyze advanced attack techniques targeting Linux-based cloud-native environments (containers, Kubernetes, serverless).
Reverse engineer Linux malware to uncover behavior patterns, execution flows, and persistence mechanisms.
Study real-world threat actor techniques and translate insights into actionable detection, prevention, and hardening strategies.
Design and prototype advanced detection and observability mechanisms, including kernel- and runtime-level approaches (e.g., eBPF).
Turn cutting-edge research into scalable security capabilities that protect large-scale production systems.
Collaborate closely with engineering and product teams to ensure research outcomes are practical, impactful, and production-ready.
Influence Aquas long-term security strategy through research-driven insights.

We are hiring an Electronics Engineer for its R&D department
Job Category: Engineering
Job Type: Full Time
Job Location: Yavne
Role Responsibilities:
Development and production of electronic systems for the defense sector
Integration into a development team of approximately 10 engineers
Leading tasks from the design phase through transfer to production
Project management as part of ongoing work.

We are hiring a Geographic Asset Surveyor to join our team and support real estate and asset consulting projects.
Key Responsibilities:
Collecting data and information from various geographic information databases.
Analyzing permit plans, area calculations, and financial data.
Conducting field surveys for geographic data collection.
Producing and regularly updating reports.
No prior experience required - full training provided by the company!

A publicly traded defense-tech company specializing in the development of advanced software systems for the intelligence and border protection domains,
is hiring Backend Developer for a newly formed team
focused on modernizing classified intelligence systems.
Job Description:
End-to-end development of complex systems using cutting-edge technologies.
Backend development in Python, utilizing PostgreSQL.
Working in a Microservices environment, including some client-side development.
Close collaboration with system, integration, and product teams.

Were looking for a Senior Full Stack Frontend-oriented Engineer to join our core R&D team in TLV - to lead frontend architecture, build highly responsive real-time experiences, and make a real impact on a high-performance, high-availability production environment.

Stuff youll be doing:

Own and evolve core frontend applications in a mission-critical, large-scale SaaS platform that powers global enterprise operations.
Design and build complex, real-time user interfaces that visualize and control large volumes of operational data.
Develop high-quality, production-grade code using modern React, TypeScript, and state management patterns.
Lead frontend architecture decisions in a monorepo environment, focusing on scalability, performance, and maintainability.
Collaborate closely with backend engineers, product managers, designers, and data teams to deliver end-to-end solutions
Define and drive front-end best practices - testing strategies, performance optimization, code quality, and developer experience.
Explore and adopt new technologies, tools, and patterns that improve frontend performance, reliability, and development velocity.

We are looking for an experienced Machine Learning Engineer to build and scale production-grade ML solutions, primarily on large-scale tabular automotive data for quality and cybersecurity products. Youll help define the engineering standards that enable the Data Science team to deliver at scale, with opportunities to own selected ML features end-to-end.
Youll work with massive (often live-streaming) automotive datasets and real-world constraints around latency, CPU, memory, and I/O. This is a highly collaborative role, and youll partner closely with data science and data engineering teams. Youll be driving technical alignment through clear communication and mentoring others via design and code reviews.
This role is full-time and based in Herzliya, Israel.
Responsibilities
Act as the DS engineering axis: drive designs with focus on performance (I/O, CPU, memory, latency, cost).
Lead heavy ML engineering efforts when needed (optimization, scaling, reliability), while collaborating with other team members and supporting them in their ML-related projects.
Own selected ML features and projects end-to-end, including DS work (EDA, features, modeling, evaluation) plus production delivery, monitoring and iteration.
Build production tabular - ML components: training, batch/near-real-time scoring, inference services, and shared libraries.
Set standards and tooling for profiling and preventing performance regressions.
Partner with the data engineers on data / ML contracts (schemas, SLAs, formats/partitioning) between pipelines and ML components.
Raise the bar via mentoring, documentation, and a strong code/design review culture, in the Data Science team.

We are looking for an experienced Marketing Operations Manager to join our Marketing team and build strategies to fuel our qualified lead pipelines, engagement, and brand awareness for our solutions.
The ideal candidate will have a deep understanding and hands-on experience of the digital marketing and automation landscape and a proven track record in scaling startups. We are big Hubspot fans!
In this role you will be tasked with building strategies for email marketing and nurturing campaigns, build complex workflows for lead funnels and scoring, intent scoring, marketing programs tracking, advanced analytics and more. The goal is to ensure our marketing processes are visible, optimized and effective, and provide the best possible support for our global sales teams.
This role is full-time and is based in Herzliya, Israel.
Responsibilities
Develop and implement a detailed marketing automation strategy to increase qualified leads, as well as build effective scoring and intent indications across various marketing programs.
Drive the development and execution of targeted account-based marketing strategies, primarily via email marketing, encompassing account list development, targeted marketing tactics, and effective measurement of results.
Manage our company's website, including managing the website developers and designers, and continuously optimize to ensure optimal visibility and engagement.
Drive success by developing and creating advanced analytics capabilities and to monitor campaign performance, effectiveness, online engagement, awareness, and more.
Work closely with our BDR team and sales executives worldwide to collaborate on marketing and campaigns, analytics and reporting and ensure we meet our goals.
Collaborate with our internal security teams to ensure all our digital assets and content are secure.
Build a strong foundation across the entire team and foster a culture of collaboration, creativity, and continuous improvement.

Required Data Engineer
Description
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
This role is full-time and is Herzliya, Israel based.
Responsibilities
Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
Develop and manage orchestration tools, governance tools, data discovery tools, and more.
Work with other team members of the engineering group, including data architects, data analysts, and data scientists, to provide solutions using a use case-based approach that drives the construction of technical data flows.
End-to-end ownership mindset with a proactive, production-first approach.

We are looking for a talented, hands-on and experienced DevOps engineer to join the Engineering team and focus on supporting the companys core technology and engineering systems.
As a DevOps Engineer you will focus on operations in order to ensure scalability, service reliability, capacity, and performance.
You will design and develop for our innovative, highly scalable, and high-performance automotive security solution.
This role is full-time and is Israel based.
Responsibilities
Implement a high scale Software as a Service (SaaS) solution.
Implement cloud infrastructure in AWS/ Azure/ GCP.
Implement the company's engineering systems.
Rollout processes for new functionality introduced to the cloud infrastructure by the team.

Required Senior Data Engineer
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. Our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
This role is full-time and is Herzliya, Israel based.
Responsibilities
Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
Develop and manage orchestration tools, governance tools, data discovery tools, and more.
Work with other team members of the engineering group, including data scientists, data architects, and data analysts, to provide solutions using a use case-based approach that drives the construction of technical data flows.

We are looking for an experienced Senior Product Manager to join the Product Management team and focus on expanding our AI platform to develop new use cases and applications for automakers, smart mobility vendors, insurance companies and additional new markets.
As a Product Manager you will join a dynamic and fast-paced environment, reporting directly to our VP Product and work closely with a team of passionate employees.
This role is full-time and is based in Herzliya, Israel, in a hybrid model.
Responsibilities
Gain a deep understanding of customer and market needs
Translate product strategy into product roadmap, detailed requirements and prototypes
Scope and prioritize activities based on business and customer impact
Work closely with the research, data analytics, data engineering, and data science departments to develop core detection capabilities
Work closely with engineering teams to deliver with quick time-to-market and optimal resources
Drive product launches including working with Sales, CSMs, Marketing, R&D with prioritized features and corresponding justification
Drive market and competitive analysis for their product
Support developing the core positioning and messaging of the product
Lead sales enablement activities on product positioning, messaging and new releases and developing sales tools and collateral
Create a plan and engage with potential and existing customers to gather ongoing feedback and requirements.