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We are looking for a Security Engineer to join us. In this role, you will take part in securing our companys production environments across network, data, and AI domains. You will work closely with SRE, DevOps, platform, and internal security teams to design, operate, and continuously improve security controls, reduce risk, and strengthen our detection and response capabilities in a fast-growing, cloud-native environment.
Responsibilities
Support, maintain, and operate network, data, and AI security controls across our companys production environments, and continuously improve protection, detection, and response capabilities.
Design, implement, and troubleshoot network security mechanisms, including segmentation, access controls, and traffic inspection, to reduce attack surface and lateral movement.
Secure sensitive data and databases by enforcing encryption, permissions, and access governance, auditing, and monitoring to prevent data leakage and misuse.
Identify security risks related to AI systems, data pipelines, and inference services, and help define controls to protect models, training data, and AI-driven workflows.
Collaborate with engineering, SOC, and platform teams to identify high-risk assets, abuse scenarios, and attack paths, and translate them into actionable security controls and detections.
Support incident response activities by serving as an escalation point for complex network, data, and AI-related security incidents.
Contribute to improving security visibility, detection logic, and response processes, including documentation and knowledge sharing across the Cyber Defense Group.

We are looking for an AI & Automation Engineer to design, build, and enable enterprise AI infrastructure and automation solutions.
This role focuses on AI architecture, workflow automation across IT and business applications, and monitoring, governance, and cost management of AI tools and agents.
You will work at the intersection of AI platforms, IT operations, and business automation, enabling scalable, secure, and cost-effective AI adoption across the organization.
Responsibilities:
Select and integrate AI tools, frameworks, and platforms aligned with enterprise IT standards.
Ensure scalability, security, reliability, and compliance of AI infrastructure.
Enable AI solutions from concept to production, including:
AI-powered IT tools
AI agents and copilots
AI services integrated into business applications
Collaborate with IT, DevOps, Security, and Business teams to deploy AI solutions smoothly.
Build reusable AI enablement patterns, templates, and best practices.
Automation of Workflows
Design and implement automation of IT and business workflows using AI and orchestration tools.
Integrate AI agents into:
IT operations (ITSM, monitoring, incident response)
Business applications and internal systems
Improve efficiency, reliability, and user experience through intelligent automation.
AI Monitoring, Usage & Financial Governance
Define and implement monitoring for AI systems, including:
Usage tracking
Performance and reliability
Model and agent behavior
Track and analyze financial usage and cost of AI tools, APIs, and platforms.
Establish governance frameworks for responsible and controlled AI usage.

You will participate in implementing a new strategic platform offering Generative AI (Gen AI) capabilities such as inference, fine-tuning, data curation, data labeling, and more.

We are seeking a highly skilled Gen AI software engineer to design, develop, and deploy state-of-the-art, scalable, efficient Gen AI solutions. You will be part of a high-performing engineering team that values collaboration, innovation, and teamwork. This role is perfect for someone who thrives in an environment where ideas are shared, challenges are met together, and success is a collective achievement.

Responsibilities:
Designed and implemented Gen AI platform components using Python and modern microservices.
Drive engineering and operational excellence and best practices.
Collaborate with tech, product, program, and business peers to deliver customer value and drive product vision.
Drive the end-to-end development of AI systems, from research and experimentation to deployment and scaling.
Mentor and support engineers, fostering a culture of collaboration, knowledge-sharing, and continuous learning.
Analyze complex problems and identify and define the requirements to solve them.
Apply DevOps principles to maintain high-performance and scalable AI systems.
Design and implement secure APIs, ensuring data protection and safe interaction with AI models.
Stay updated on the latest Gen AI trends and technologies, bringing fresh ideas to the team.

Were looking for a Senior QA Automation Engineer to join our growing R&D team to design, build, and own our automated testing framework and quality processes from the ground up. This role is highly hands-on and strategic, with a strong influence on how quality is embedded across the entire development lifecycle.
You will work closely with engineering, product, and DevOps teams to ensure high-quality, reliable releases through scalable test automation and well-defined QA practices.
Your Arena
Design and implement a QA automation framework from scratch using Node.js, TypeScript, Playwright, and Cucumber.
Define and establish QA processes, standards, and best practices across teams.
Build and maintain end-to-end, integration, and regression test suites.
Integrate automated tests into CI/CD pipelines and release workflows.
Collaborate with developers and product managers to define test strategies and acceptance criteria.
Drive a shift-left testing approach, embedding quality early in the development process.
Own test environments, test data strategy, and execution stability.
Analyze test results, track quality metrics, and proactively identify risk areas.
Mentor developers and other QA engineers on automation and quality practices.

Were looking for a hands-on Product Marketing Manager to join our Product Marketing Team. This role sits at the intersection of technical product depth and clear storytelling: translating complex capabilities into clear, compelling value for prospects and customers.

You will work closely with Product, Marketing, Sales, and Customer Success to bring new features to market, sharpen messaging, and produce high-quality product content that drives demand and supports adoption. This is an execution-heavy role for someone who moves fast, stays organized, and sweats the details.

What youll do:
Product messaging: Drive and maintain core messaging and value propositions across key features and use cases. Partner with Product and Marketing to ensure consistent narratives across channels.

Manage product launches: Execute go-to-market plans for new feature releases, working directly within the Product organization to align marketing motions with development cycles.

Content Development: Create technical marketing assets and blogs, white papers, and solutions content that educate practitioners and explain complex features clearly.

Website & Digital Presence: continuously update and optimize the website messaging to reflect new product capabilities and ensure clear communication of value to inbound visitors.

Market and competitive research: Monitor the market and competitors, identify differentiation, and translate insights into messaging and practical materials (e.g., comparisons, lightweight battlecards).

Measure Performance: Report on the effectiveness of product content and messaging, tracking top-of-funnel metrics and engagement with product materials.

Cross-functional execution: Coordinate timelines and stakeholders across Product, Design, Growth/Demand Gen, Sales/RevOps, and CS to deliver high-quality outputs on time.

Responsibilities
Design, implement, and maintain robust data pipelines and ETL/ELT processes on GCP (BigQuery, Dataflow, Pub/Sub, etc.).
Build, orchestrate, and monitor workflows using Apache Airflow / Cloud Composer.
Develop scalable data models to support analytics, reporting, and operational workloads.
Apply software engineering best practices to data engineering: modular design, code reuse, testing, and version control.
Manage GCP resources (BigQuery reservations, Cloud Composer/Airflow DAGs, Cloud Storage, Dataplex, IAM).
Optimize data storage, query performance, and cost through partitioning, clustering, caching, and monitoring.
Collaborate with DevOps/DataOps to ensure data infrastructure is secure, reliable, and compliant.
Partner with analysts and data scientists to understand requirements and translate them into efficient data solutions.
Mentor junior engineers, provide code reviews, and promote engineering best practices.
Act as a subject matter expert for GCP data engineering tools and services.
Define and enforce standards for metadata, cataloging, and data documentation.
Implement monitoring and alerting for pipeline health, data freshness, and data quality.

We're looking for a Security Engineer - Product to spread the power. The ideal candidate will have experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. Youll get to collaborate with our software development and DevOps teams to secure our products, CI/CD infrastructure, and production infrastructure. Youll also have the opportunity to influence our product roadmap by utilizing us to assess, monitor, and harden our environments.
WHAT YOULL DO
Lead threat modeling and security review exercises across our production and CI/CD environments - identifying and mitigating risks in our products and the cloud services that support them
Drive vulnerability management and remediation efforts - prioritizing issues, implementing mitigations, and designing strategic preventative controls
Extend our detection and response capabilities - building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents
Collaborate with our Federal team - extending our DevSecOps and Product Security practices to our FedRAMP environment and ensure it meets key security requirements
Build deep functional partnerships with our engineering and operations teams - helping them deliver secure-by-design solutions.

We are looking for an Automation Infrastructure Engineer to join our Automation Infra team and take a key role in designing, scaling, and maintaining the infrastructure that enables all automated testing across our company R&D.
In this role, you will own significant parts of our CI/CD ecosystem, lab environments (Cloud and On-Prem), and automation tooling. You will architect and implement infrastructure solutions that support complex end-to-end testing of a distributed networking and security platform.
Our test environments span multi-layer networking topologies, cloud deployments, ESX-based virtualization, dynamic traffic flows, and advanced security rule engines.
This position requires strong technical depth, broad domain proficiency, and the ability to work across multiple infrastructure areas simultaneously.
Key Responsibilities
Design and architect automation infrastructure, including CI/CD pipelines, integration layers, execution frameworks, and lab-side services.
Build and maintain scalable, reproducible test environments across AWS, Azure, and ESX, including networking, compute, storage, and automation layers.
Develop advanced tooling (Ansible, Terraform, Python, Java) to automate provisioning, orchestration, and lifecycle management of test environments.
Improve reliability and performance of CI/CD workflows, execution pipelines, and environment creation processes.
Collaborate with automation engineers and developers to define infrastructure requirements and deliver solutions that accelerate product validation.
Troubleshoot complex systemic issues across cloud, networking, virtualization, automation frameworks, CI/CD, and distributed services.
Drive best practices for infrastructure automation, observability, scalability, and operational excellence.

Job description Appdome is looking for a talented, passionate Offensive Researcher to join our innovative research team. If you’re eager to explore cutting-edge mobile security techniques and help safeguard the mobile app ecosystem, this is the role for you! As a key player in our security team, you'll design and execute sophisticated attack simulations on the Appdome platform. Your work will touch on diverse attack vectors, including file systems, networks, jailbreaks, memory injections, and more.

We are looking for a Senior QA Automation Engineer for our Raanana office (hybrid set up). The QA Automation Engineer role provides you with a unique opportunity to work on an impressive technology landscape, involving many of the most popular tools and cloud platforms of today. You will get a chance to utilize your expertise and imagination, while we work together to power our market-leading product platform with next-generation technologies.

The role will challenge you every day, to think harder and innovate, giving you an excellent chance to grow your skills and knowledge. You will be responsible for the quality assurance of our Quality Intelligence platform. You will define, design and implement innovative ways to push our products to the edge and ensure that it can provide the reliability, scalability and availability our customers expect from our products.

Responsibilities:

Plan and execute effective test scenarios as per the acceptance criteria in user stories

Design and implement robust and scalable automated testing sets to ensure high code coverage.

Monitor production systems to identify patterns of failures and potential bottlenecks, and bring the most common scenarios under test coverage

Bring new ideas to emulate complex scenarios while testing applications

Were looking for a sharp and experienced Senior QA Engineer to ensure the reliability, accuracy, and performance of our most critical system - COS.
In this role, youll be embedded in a fast-paced product team, designing and executing manual and automated test plans that cover everything from backend APIs to customer-facing applications. Youll take ownership of quality from day one - helping build a scalable testing culture, mentoring junior engineers, and working closely with developers and product managers to catch issues before they hit production. If you're passionate about high standards and building quality into every stage of the SDLC, this ones for you.
Who You Are:
Obsessed with quality and passionate about preventing bugs, not just finding them
A team player who thrives in cross-functional environments
Analytical and curious - you ask the right questions and dig deep
Detail-oriented but also see the bigger picture
Proactive, resourceful, and always looking to improve how things are done
What Youll Actually Be Doing
Own QA strategy and execution for your squad - both manual and automated testing
Design comprehensive test plans and maintain detailed, reproducible test cases
Develop and expand automated test suites for APIs, web apps, and backend systems
Work closely with Developers, Product, and DevOps to shift-left and integrate testing early
Track, triage, and follow through on bugs with clarity and urgency
Help build a culture of quality through documentation, metrics, and knowledge sharing
Why Youll Love Working Here:
Flexible hybrid model: 3 days a week in the office - A must
1,000 net monthly wellness benefit - from therapy to Pilates to your kids art class
Full Keren Hishtalmut, private health & dental insurance
Donation matching, volunteering days, team outings, and mentorship programs
A mission-driven culture that values ownership, trust, and meaningful impact.

We are seeking an experienced Senior Data Platform Engineer to design and scale the robust, cost-efficient infrastructure powering our groundbreaking fraud prevention solution. In this role, you will architect distributed systems and cloud-native technologies to safeguard our clients' revenue while driving technical initiatives that align with business objectives and operational efficiency.
Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.
Your Arena
Infrastructure & FinOps: Design scalable, robust backend services while owning cloud cost management to ensure maximum resource efficiency.
High-Performance Engineering: Architect distributed systems and real-time pipelines capable of processing millions of daily transactions.
Operational Excellence: Champion Infrastructure-as-Code (IaC), security, and observability best practices across the R&D organization.
Leadership: Lead technical initiatives, mentor engineers, and drive cross-functional collaboration to solve complex infrastructure challenges.

Were looking for a Senior Data Architect to help shape how high-growth startups build and scale on AWS. In this role, youll design and deliver end-to-end data and analytics solutions - from architecture and pipelines to visualization and insights - guiding customers from concept through production. Youll work closely with startup founders, technical leaders, and account executives to create scalable, cost-efficient architectures that drive real business impact.
📍 Work location - hybrid from Tel Aviv
If you are interested in this opportunity, please submit your CV in English.
Responsibilities:
Design, develop, and implement data & analytics solutions to meet business requirements and create cost-efficient, highly available, and scalable customer solutions, including Well-Architected reviews and SoW.
Research and analyze current solutions and initiate improvement plans.
Collaborate with other engineers and stakeholders to ensure solutions are designed and developed according to best practices.
Lead workshops, POCs, and architecture reviews with startup customers, conferences, webinars, and more.
Stay up to date on Data Engineering and Analytics trends and contribute to internal enablement.
Frequent travels - locally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter).

Were looking for an Sr Solutions Architect responsible for advising on Generative AI, core services and also to provide technical pre-sales guidance to strategic customers while building long-term relationships, identifying pain points, and addressing them.
📍 Work location - hybrid from Tel-Aviv
Responsibilities:
Strategic Advisory: Act as a technical and strategic advisor in the field to provide architectural guidance in the GenAI space and recommendations necessary to promote & help customers overcome technical challenges and scale securely on AWS.
Pre-Sales Architecture: Serve as a pre-sales Solutions Architect to guide customers on best practices and ensure cost optimization.
Relationship Management: Build strong connections with internal and external stakeholders, from technical teams to senior executives.
Business Growth: Collaborate with Account Executives to drive service adoption and ensure success in the long term.
Travels: locally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter).

The Engineering team is looking for a Senior Software Engineer to join us in Ra'anana, Israel. In this role, you will contribute to the engineering of features related to the deployment and life cycle management of Kubernetes and OpenShift. You'll play a specific part in defining the architecture for Kubernetes deployment infrastructure and in developing our offerings from inception, through upstream development, to delivery.
What you will do:
Play an active role in container and virtualization-related projects and communities like Kubernetes, OpenShift, and KubeVirt
Create and guide new feature development; contribute to open source projects in Golang, Python.
Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats
Work with our Global Customer Support team and partner support teams on resolving customer issues
Work with the Quality Engineering (QE) team to ensure that projects are tested correctly
Publicize the team's work through blogs, web postings, or conference talks
Stay up-to-date on the latest advancements in AI frameworks, and leverage those in your day to day work
Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.