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We are looking for a Java Backend Engineer, Platform Team. Our Data Platform team builds large-scale, cloud-native systems that process cybersecurity data in real time.
We design for scale, reliability, and performance, transforming billions of events into actionable insights that protect customers worldwide.
Beyond backend excellence, we also develop dashboards and intuitive web interfaces that allow customers to visualize, explore, and act on their security data.
If youre passionate about distributed systems, data engineering, and building meaningful products, youll feel right at home here.
Our Tech Stack:
Backend: Java, Spring Boot, Kafka, AWS, Docker, Kubernetes
Frontend: React (data visualization, dashboards, admin interfaces)
DevOps: CI/CD pipelines, distributed systems, monitoring, and observability.
Key Responsibilities:
Design, build, and scale our next-generation data platform for processing security events and logs.
Develop high-performance microservices and streaming pipelines using Java, Spring Boot, Kafka, and AWS.
Architect and implement event-driven, real-time analytics solutions.
Collaborate on frontend dashboards and visualization tools that help customers understand their data and make faster, data-driven decisions.
Work across the stack when needed - contributing to CI/CD, infrastructure automation, and frontend components to deliver complete, production-ready solutions.
Participate in architecture discussions, code reviews, and technical decision-making.
Take ownership, mentor others, and help shape a culture of technical excellence, empathy, and teamwork.

We are looking for a Product Support Engineer for our End User Customers, you will play an integral part in building our Imperva Global Support Team, working alongside our exceptional team of professionals in Product Support, Engineering, QA, and
Sales Security Engineering (SE). The successful applicant will gain a deep understanding of the Imperva product line technology while diagnosing and solving complex technical issues and creating a viable and timely solution to customers.
Key Responsibilities:
Become a focal point for technical issues for our clients and make sound decisions quickly.
Have a strong customer focus a must, paired with demonstrable Troubleshooting and Networking competency.
Understanding and documenting the customers requirements, managing expectations, and providing excellent customer service.
Analyzing customer feature requests and forwarding them for higher-level escalations.

We are looking for an enthusiastic and passionate Senior DevOps Engineer to join our DevOps division (Core Team), where he/she will build and automate our private and public cloud infrastructure, improve R&D and operations productivity, reduce delivery time and work with cutting edge tools and technologies.
Key Responsibilities:
Work directly with the R&D department and be part of their day-to-day work.
Design and implement CI/CD solutions for the teams.
Handle code deployments in all environments.
Create monitoring dashboards for the teams and thrive to improve.
Provide technical guidance and educate team members and coworkers on development and operations.
Brainstorm for new ideas and ways to improve development delivery.
Maintain day-to-day management and administration of projects.
Document and design various processes; update existing processes.
Improve infrastructure development and application development.
Follow all best practices and procedures as established by the company.

Were looking for a Senior Program Manager to join our PMO team.
Key Responsibility:
You will be part of the PMO Team, responsible for development projects across the companys portfolio.
You will work alongside our exceptional team of professionals in Product Management, Development, Operations, Marketing, IT, Customer Support and more.
You will be responsible for the planning, execution and monitoring of software development projects.
You will own, orchestrate, and communicate release and post-release management activities.
Your responsibility will cover the projects lifecycle from end to end, from concept, through definition, development, testing, release, and post release activities, till product end of life.

Were looking for an experienced and passionate Software Engineering Team Leader to join our Elastic WAF group - the group behind Impervas most strategic and modern next-generation WAF product lines within the AppSec organization.
The Foundation team builds the core infrastructure that powers these products. The team is responsible for developing the foundations of new Cloud-Native and SaaS WAF solutions, designed for simple, fast, and DevOps-friendly onboarding and installation. These products deliver best-of-breed security through a modern, scalable architecture and seamless operational experience.
If youre passionate about leading talented engineers, designing scalable systems, and shaping the architecture of cutting-edge security products, wed love to meet you.
Key Responsibility:
Lead a team of 4 skilled developers focused on building and maintaining core components, shared services, and developer tooling.
Lead distributed system design decisions and continuously improve system performance, maintainability, and technical standards.
Design and evolve scalable, multi-tenant SaaS architecture and cloud-native platform services (microservices, APIs, event-driven systems).
Be hands-on with architecture and development in Java, Go, and Kubernetes.
Drive cross-team initiatives that improve development efficiency, reliability, and scalability.
Act as a mentor and coach to help team members grow professionally and technically.
Collaborate with engineering leads and product stakeholders to set technical direction and priorities.
Champion innovation, transparency, and a strong engineering culture.
Ensure reliability and operational excellence, implementing observability (metrics/logs/tracing) and strong incident response practices.

Join our company and help shape the future of AI security in a fast-paced, high-impact environment.
we are building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle. Our team works at the intersection of AI, security, and cloud, shaping a new category in a rapidly evolving market. At our company, youll have the opportunity to make a meaningful impact while working with exceptional people on technology that truly matters.
Were looking for a Solution Architect to bridge the gap between complex AI security challenges and real-world enterprise implementations. In this role, you will work closely with customers, Product, R&D, and Sales to design scalable, secure, and high-impact AI security solutions.
This is a strategic, customer-facing, and hands-on role where you will own the technical design of enterprise deployments and play a key part in shaping how our platform delivers value in production environments.
What Youll Do:
Own Customer Solution Design
Lead technical discovery sessions with enterprise customers to deeply understand their AI usage, architecture, and security requirements.
Design end-to-end solution architectures tailored to customer environments (cloud, hybrid, on-prem).
Translate security and governance needs into scalable technical implementations.
Be the Technical Bridge
Work closely with Sales during pre-sale processes to support technical validation and proof-of-value engagements.
Partner with Product and R&D to communicate field feedback and influence roadmap priorities.
Ensure smooth handover from pre-sale to post-sale implementation and ongoing optimization.
Drive AI Security Implementations
Architect integrations across AI systems, LLM applications, data pipelines, model layers, and runtime environments.
Define best practices for secure AI adoption, governance workflows, and observability frameworks.
Guide customers through architecture decisions, trade-offs, and scalability considerations.
Lead Technical Authority
Act as a trusted advisor to CISOs, security teams, and AI leaders.
Support complex technical escalations and architectural challenges.
Continuously stay ahead of trends in AI security, cloud architecture, and enterprise security frameworks.

We are looking for a Cloud Platform Engineer to join a team of passionate engineers who build premium solutions at scale.
Every day, we tackle ambiguous and stimulating challenges.
Join a team of passionate people who build quality and responsible advertising, at scale!
Our Infrastructure Team
Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.
What will you do?
As part of the Runtime Platform team, youll be at the heart of our distributed systems, architecting the backbone of our container orchestration and real-time data streaming. Youll focus on hardening our Kubernetes clusters and Kafka infrastructure to ensure our microservices dance in harmony. Your mission is to abstract away the complexity of the underlying infrastructure, providing a seamless paved road for developers to deploy and scale their applications with confidence. Youll obsess over low latency, high throughput, and rock-solid resilience. If you enjoy fine-tuning resource limits or optimizing message durability while sharing your expertise with the wider engineering community, youll fit right in.

We are looking for a Cloud Platform Engineer to join a team of passionate engineers who build premium solutions at scale.
Every day, we tackle ambiguous and stimulating challenges.
Join a team of passionate people who build quality and responsible advertising, at scale!
Our Infrastructure Team
Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.
What will you do?
As part of the Cloud Foundation team, youll be architect of our core infrastructure, with a primary focus on global networking and automated provisioning.
Youll bridge the gap between our public clouds (AWS, Azure) and on-premise data centers by building the high-performance connectivity and Infrastructure as Code pipelines that tie them together. Your work will ensure that our network is not only secure and resilient but also invisible to the feature teams who rely on your automated workflows to spin up environments at scale. Youll thrive on solving complex routing challenges and streamlining the lifecycle of our resources, always striving for maximum efficiency and speed. Through constant collaboration and knowledge sharing, youll help us evolve a rock-solid foundation that scales as fast as our ambitions.

We are looking for an experienced data Engineering team leader In this role, you will lead and strengthen our data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

We are seeking a highly skilled Senior Backend Engineer to join our team.
Youll tackle complex challenges at the intersection of backend development, scale and data - building and optimizing algorithms that power our marketplace.
What will you do?
Design, develop, and optimize backend solutions that implement scalable, efficient algorithmic solutions.
Solve complex performance and low-latency challenges for data-heavy, high-throughput distributed systems.
Collaborate with data scientists, product, and other backend engineers to research, develop, and deploy end-to-end solutions that drive global business KPIs.
Ensure that all backend systems are tested, optimized, and continuously monitored
Develop a strong understanding of the business to provide high-impact solutions to our stakeholders.

Required Backend Engineer
Our Main Engineering Challenges
As a Backend Engineer, you won't just be writing code; you will be solving complex technical puzzles at a massive scale. We operate in a very high-traffic environment.
You will tackle challenges involving big data, predictive AI, and high-performance architecture. within a systems that handle 2.2 billion users per month and process 100 billion events per day.
What will you do?
As a Backend Engineer your mission will be to:
Collaborate with software engineers and data scientists to research, develop, and deploy experiments, features and enhancements with a high impact on our global revenue.
Create, design, develop, test, and monitor your code in production autonomously and reliably.
Work with the Engineering Manager, Product Manager and other teams to frame projects and be accountable for their execution.
Obtain a good understanding of the business to provide relevant solutions to clients.
Be a work facilitator and help communication inside and outside.
Stay up-to-date on new technologies and architectures. If they can solve a problem we have, propose ways to implement them into our current software engineering process.

Required Senior Data Engineer - Core Data Platform Team
Our Core Data Platform team
We're a leading force in the ad tech industry, revolutionizing how brands connect with their audiences. Our platform processes billions of ad impressions daily, generating massive datasets that drive our core business. We thrive on innovation and seek a Senior Data Engineer to help us build and scale the data infrastructure that powers our insights and analytics. This is a unique opportunity to work with cutting-edge technologies and make a direct impact on our products.
What will you do?
As a Senior Data Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.
Your mission will be to:
Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.

we are transforming the delivery industry by turning drone delivery into a real-world, scalable solution. We are looking for a Technical writer to join the company technical documentation team and contribute to the development, documentation, and certification of advanced UAS platforms. This is an opportunity to join a fast-growing company, work alongside a multidisciplinary team, and be part of a dynamic environment in the heart of Tel Aviv. In this role, you will develop and manage technical documentation for advanced unmanned aircraft systems that integrate complex mechanical assemblies, electrical hardware, Embedded software, control systems, production processes, and operational workflows. Working at the intersection of engineering, manufacturing, maintenance, and regulatory compliance, you will translate highly technical information into clear, structured documentation that supports the certification, production, operation, and maintenance of our companys UAS platforms. You will work closely with mechanical, electrical, software, systems, and manufacturing engineers, as well as with production managers, mechanics, flight operations, and regulatory affairs teams, gaining deep exposure to the full product lifecycle. The role is ideal for someone who enjoys diving into complex multidisciplinary systems, understanding how they work in practice, and turning engineering knowledge into precise, usable documentation that supports safe and scalable real-world operations. Main Responsibilities
* Review and interpret technical standards and regulatory requirements.
* Work with aviation regulatory authorities to obtain approvals and authorizations supporting the companys activities.
* Create, edit, and manage technical manuals and documentation across the product lifecycle.
* Revise and refine technical documents in collaboration with engineering, product, manufacturing, and procurement teams.
* Develop a deep understanding of the design, performance, and functionality of hardware and software systems and components.
* Research and analyze technical information to produce clear, accurate, and comprehensive documentation.
* Establish policies and procedures supporting manufacturing, procurement, Quality Assurance, and related operational processes.

We are looking for an enthusiastic AI Solution Manager who is a builder at heart and a changemaker by nature. In this role, you will be the catalyst for innovation, bridging the gap between ambitious business goals and actual technical delivery.
You wont just manage tasks; you will own the solution from idea to impact. We are looking for someone with a relentless curiosity to learn new tools, a passion for automation, and the drive to revolutionize our workflows. You will partner with stakeholders to design, prioritize, and build agentic AI flows that change the way we work.
What will you do?
Design & Build (Hands-on): Actively design and configure AI agents and automated workflows using low-code/no-code platforms. You turn concepts into working prototypes.
Product Ownership: Take ownership of AI initiatives. Define the scope, manage the timeline, and prioritize tasks based on business value and potential ROI. Ensure we are building the right things.
Stakeholder Partnership: Collaborate with business leaders to identify pain points. act as a trusted advisor who understands their needs and translates them into technical reality.
Drive Innovation: Be the companys "AI Radar." Constantly explore new tools and models, bringing fresh ideas to the table and challenging the status quo to improve efficiency.
Optimization & Impact: Don't just launch and forget. Monitor the performance of your solutions, troubleshoot issues, and iterate to ensure they deliver continuous value.

We are seeking a Data Product Manager to join our Data Department within the Data Product Team. In this role, you will be at the core of our mission to transform data into a strategic asset, ensuring that our business teams can make smarter, faster, and more impactful decisions.
As a Data Product Manager, you will be responsible for defining and delivering the vision, strategy, and roadmap of data products that serve internal stakeholders across Sales, Operations, Finance, and Marketing. You will focus on Looker as the central BI platform, ensuring reliable, scalable, and user-friendly data products that democratize insights and maximize business value.
This role requires a strong mix of product management expertise, BI platform experience (Looker is mandatory), and cross-functional collaboration skills. You will partner closely with data engineers, BI developers, and business teams to translate requirements into actionable data solutions, while upholding governance, quality, and scalability.
If you are passionate about creating data products that directly impact the efficiency and success of global teams in a fast-paced, data-driven environment, this opportunity is for you.
What will you do?
As a Data Product Manager, you will shape, deliver, and scale data-driven products that empower our business functions to operate more efficiently and make smarter decisions. You will partner with engineers, analysts, and stakeholders across departments to translate business needs into data products that drive measurable impact.
Your responsibilities will include:
Roadmap & Strategy
Define and prioritize the data product roadmap in alignment with our global objectives.
Identify key data opportunities, define success metrics, and ensure products are aligned with business impact.
Ensure data governance, quality, and scalability in all delivered solutions.
Product Design & Delivery
Translate business requirements into clear, actionable data product specifications.
Ensure stakeholders are kept informed on milestones, changes, and impacts.
Product Roll-out & Continuous Improvements
Contribute to a culture of data democratization, enabling teams to self-serve insights.
Oversee the roll-out of new Looker products, ensuring adoption and training across internal teams.
Monitor product usage and performance, gather feedback, and iterate to drive continuous improvement.