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We are looking for a Full-Stack Engineer who loves building complete, real-world products, someone who is comfortable moving between backend services, modern frontend applications, and cloud infrastructure. This role is perfect for an engineer who enjoys ownership, wants to influence architecture decisions.
What youll be building:
End-to-end product features - implementing rich frontend interfaces in React/Next.js.
Scalable backend services integrate with Python (FastAPI) or Node.js, with a strong emphasis on performance, resilience, and clean code.
Multi-cloud components across AWS, GCP, and Azure, deploying containerized workloads using Docker, Cloud Run, Fargate, Azure Functions, etc.
Identity and access flows integrating OAuth2, OIDC, and SAML for enterprise-grade SSO.
Data models and storage layers, including relational and NoSQL databases, indexing strategies, and efficient querying patterns.
Secure-by-design features, integrating best practices from OWASP/CWE.
Customer-facing integrations, including onboarding identity providers and supporting security and architecture reviews.

We are seeking an experienced Generative AI Engineer to join our AI squad at our company. This is a unique opportunity to wear multiple hats - serving as both a developer of cutting-edge GenAI solutions and an advisory expert helping organizations transform their AI capabilities. You'll build end-to-end GenAI projects from conception to production while staying at the forefront of this rapidly evolving field.
Key Responsibilities
GenAI Development & Implementation
End-to-End Development: Build GenAI solutions from POC through production deployment, handling all backend development responsibilities
Client Engagement: Participate in technical discussions with clients, gather requirements, and help translate business visions into feasible technical solutions through presentations and consultations
Backend Development: Design and implement production-grade microservices architectures for GenAI applications using Python
Cloud Implementation: Deploy and manage GenAI solutions across GCP, Azure, and AWS platforms, leveraging cloud-native AI services
Cross-functional Collaboration: Work closely with project managers, full-stack developers, and Power Automate teams to deliver complete solutions
System Evaluation: Assess and optimize production-grade GenAI systems for performance, scalability, and reliability
Continuous Learning & Innovation
Technology Scouting: Continuously explore and evaluate new GenAI models, frameworks, and techniques as they emerge
Best Practices Development: Establish and refine methodologies for GenAI solution development and deployment.

We're seeking a Senior Full Stack Engineer to build core features for our cybersecurity platform. You'll work with a small engineering team, to deliver features that directly impact user security and experience.



Key Responsibilities

What You'll Do

Lead end-to-end feature development
Architect scalable solutions for our React/NestJS platform
Collaborate with Product, Design, and Security teams on user-facing features
Optimize application performance and security for enterprise customers
Build scalable systems to onboard and serve a growing customer base

We are looking for a Senior Full-Stack Software Engineer who is passionate about building high-quality software, enjoys solving complex problems, and wants to work on modern, cloud-native applications.

In this role, you will design and build new platform capabilities end-to-end using React, Node.js, and TypeScript, while collaborating with product managers, architects, and security researchers.

Key Responsibilities
Develop and own full-stack features from design to production (React frontend + Node.js/TypeScript backend).
Build modern, responsive, and high-performance UI components and dashboards.
Implement secure, scalable backend services, REST/GraphQL APIs, and integrations with GenAI systems.
Participate in architecture discussions and contribute to improving system design.
Write clean, maintainable, well-tested code and take ownership of feature delivery.
Collaborate closely with product, design, backend, and security teams.
Troubleshoot production issues and continuously improve performance, security, and reliability.
Contribute to our engineering culture, coding standards, and best practices.

If you're passionate about building robust, scalable infrastructure, solving complex DevOps challenges, and working with a great team to drive real impact, we'd love to hear from you!

Key Responsibilities
You'll be responsible for building and maintaining the cloud infrastructure and deployment pipelines that power our AI-driven security platform, while also contributing to backend development. This role combines infrastructure work, cloud-native technologies, and hands-on development in a fast-paced environment.

What Youll Do

Design, implement, and maintain CI/CD pipelines and cloud infrastructure using Infrastructure as Code
Deploy and manage containerized applications using Kubernetes in production environments
Develop backend services and automation tools to improve system reliability and developer productivity
Implement monitoring, logging, and observability solutions across the stack
Collaborate with cross-functional teams to ensure scalable, secure deployment of AI-powered features

A problem isnt truly solved until its solved for all. Thats why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, youll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. Youll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
As a Technical Program Manager for Silicon engineering, you will use your technical and management experience to justify, plan, coordinate, and deliver custom silicon products. You will plan programs and manage their execution from early concepts through development to tapeout and production. You will collaborate closely with architecture, design, verification, physical implementation and manufacturing teams throughout the SoC execution life-cycle. This includes making technical decisions for the chip designs and methodology, driving project schedules, identifying risks and communicating them to all stakeholders, and managing partner teams.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Justify, plan, and coordinate the delivery of custom silicon products, ensuring they meet technical specifications and business objectives.
Drive alignment and collaboration across the internal silicon ecosystem from design and verification to supply chain and quality to ensure seamless execution and operational readiness.
Lead the development of credible schedules and milestones, proactively identifying technical or timeline risks and negotiating trade offs between what is needed and what is possible.
Guide the selection, qualification, and management of external partners serving as the primary technical and program interface.
Negotiate agreements and Statement of Works (SOWs) while managing vendor performance, quality, and costs to protect the supply chain against disruptions and capacity constraints.

We are looking for a Senior DevOps Engineer who will own our cloud infrastructure, CI/CD systems, deployments, observability stack, and DevSecOps initiatives. You will work closely with backend, full-stack, and security teams to build a highly available, reliable, and secure production environment.

Key Responsibilities
Own and manage our DevOps, Cloud, and Monitoring environments end-to-end.
Design and develop the companys SaaS infrastructure, operational engine, and deployment strategies.
Build, maintain, and optimize CI/CD pipelines supporting multiple services and environments.
Introduce and implement DevSecOps shift-left practices across CI and CD pipelines.
Develop automation frameworks for provisioning, scaling, observability, and incident response.
Lead adoption of new technologies to improve engineering velocity, reliability, and security.
Work closely with architects and engineering leadership on cloud cost optimization, availability, and performance.
Ensure production readiness: monitoring, alerts, dashboards, SLOs/SLIs, and reliability processes.

We are seeking an Experienced Senior DevOps Engineer to join our high-performing SaaS Security team.

Born from a successful cybersecurity startup acquisition, we operate as a dynamic team within a larger organization, driven by innovation and a passion for building cutting-edge security solutions.

As our lead DevOps engineer, you will build and maintain our large-scale, automated, SaaS infrastructure.

Our technology stack includes GCP, K8s, Prometheus, Terraform, PostgreSQL, Kafka, Temporal and Hasura. Youll work collaboratively with software engineering teams and tech leads, help automate and streamline our operations and processes and troubleshoot issues in our development, test and production environments.

Key Responsibilities
Design and develop our SaaS infrastructure, CI/CD pipelines, permissions model and deployment strategy.
Improve overall security posture, manage permissions and improve work processes.
Assist in introducing new technologies into group infrastructure.
Be a focal point for the stability of our infrastructure.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a SoC Physical Design Engineer, you will collaborate with functional design, Design for Testing (DFT), architecture, and packaging engineers. In this role, you will solve technical problems with innovative micro-architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Use problem-solving and simulation techniques to ensure performance, power, and area (PPA) are within defined requirements.
Collaborate with cross-functional teams to debug failures or performance shortfalls and meet program goals in lab or simulation.
Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route, and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area.
Develop, validate, and improve Electronic Design Automation (EDA) methodology for a specialized sign off or implementation domain to enable cross-functional teams to build and deliver blocks that are correct by construction and ease convergence efforts.

We are looking for a talented Senior Backend Developer to join our Infrastructure Team, supporting the server-side foundation of our mobile security product. Our team builds and maintains the core microservices and backend infrastructure that power protection, monitoring, and real-time decision-making for millions of mobile devices worldwide.

You will work in a hybrid environment, collaborating closely with highly skilled engineers within an agile, sprint-based process. This role is central to ensuring the performance, reliability, and scalability of our backend ecosystem, enabling seamless integration with mobile clients and supporting global, multi-region deployments.

Key Responsibilities
Design, develop, and maintain high-quality backend microservices and internal infrastructure components for our large-scale platform.
Own features end-to-end in an agile CI/CD environment-architecture, implementation, testing, deployment, and ongoing improvement.
Ensure the scalability, reliability, and resilience of infrastructure services supporting a rapidly growing global user base.
Work extensively with distributed systems, including technologies such as PostgreSQL, Redis, RabbitMQ, and Elasticsearch, optimizing performance and resource usage.
Implement and uphold observability best practices (metrics, logs, tracing) using tools like Prometheus and Grafana to maintain system health and diagnose issues quickly.
Collaborate closely with product managers, client-side developers, and DevOps teams to deliver robust, secure, and efficient infrastructure capabilities.
Drive continuous improvement by evaluating and adopting new tools, frameworks, and architectural patterns that contribute to operational excellence.
Mentor and guide other engineers, contributing to a culture of technical leadership, ownership, and knowledge sharing.

We are looking for an experienced Senior Backend Engineer to join our Browse Management Core team.

As part of our core team, youll design and implement high-impact backend services, collaborate with frontend, DevOps, and product teams, and play a key role in shaping the next generation of Browse Management architecture.

Youll help build and evolve the backend infrastructure that powers our cloud-native security platform, delivering advanced protection, observability, and scalability at global scale.

If youre passionate about solving complex backend challenges, scaling distributed systems, and driving innovation in cybersecurity, this is the place for you.

Key Responsibilities
Design, develop, and maintain cloud-native backend services supporting a large-scale SaaS security platform.
Build scalable, secure, and resilient architectures using modern AWS services (EKS, ECS, EC2, RDS, SQS, CloudFront, IAM).
Develop and optimize RESTful and event-driven APIs, backend integrations, and data flows.
Work in a microservices-based environment, ensuring high availability, observability, and performance.
Collaborate closely with frontend, DevOps, and product teams to deliver end-to-end solutions.
Implement monitoring, alerting, and reliability best practices for production environments.
Write clean, maintainable, and testable code, contributing to best practices and design standards.
Participate in architecture and design reviews, influencing the technical direction of the platform.

As an AI Architect, you will own the end-to-end design of our AI-driven protection stack, from agent telemetry to inference and enforcement. You will set the standards for secure and scalable AI architecture, influence product direction, and mentor senior engineers. If you want to lead the intersection of AI, security, and system design, this is where you want to be.

Key Responsibilities


Define the end-to-end AI architecture, from agent telemetry to inference and protection enforcement.
Design APIs and interfaces connecting agents, management, and GenAI services.
Partner with threat research and product teams to turn protection intent into ML-driven capabilities.
Establish best practices for AI safety, privacy, and secure design.
Review designs across all product teams (Windows, Mac, Backend, GenAI).
Mentor senior engineers and lead design reviews for high-impact systems.

We are looking for an experienced and visionary R&D Group Manager to lead the development of cutting-edge web applications and cloud-native services. This role is ideal for a leader with strong technical expertise in modern front-end and back-end technologies, and a deep understanding of AWS cloud architecture. You will be responsible for guiding multiple teams in delivering scalable, secure, and high-performing applications.

This job is located in Tel Aviv (hybrid).

Key Responsibilities
Lead and manage several engineering teams focused on full-stack web application development and cloud-native services.
Oversee the design, development, and deployment of applications built with React, Node.js, TypeScript, and JavaScript.
Architect and implement scalable solutions using AWS services such as Lambda, API Gateway, DynamoDB, S3 and more.
Collaborate with UX/UI designers, product managers, and other stakeholders to deliver user-centric solutions.
Promote engineering best practices including code quality, testing, CI/CD, and agile methodologies.
Drive technical innovation and continuous improvement across the group.
Manage hiring, performance reviews, and career development for team members

We are looking for a detail-oriented, research-driven Recovery Optimization Analyst with deep curiosity about payment networks, regulations, and chargeback management. You will become our company's expert on card network rules, PSP requirements, and industry best practices, directly impacting our ability to recover disputed transactions for merchants. As part of the Product Analytics team, you will immerse yourself in the complex world of payment disputes—learning the intricacies of different card schemes, analyzing PSP-specific requirements, monitoring regulatory updates, and translating this knowledge into actionable product improvements. This role is ideal for someone who loves diving deep into regulations, enjoys solving complex puzzles, and wants to become a recognized expert in a specialized domain. Responsibilities:
* Maintain comprehensive, up-to-date knowledge of card network rules (Visa, Mastercard, Amex, Discover) and monitor regulatory changes that impact chargeback disputes.
* Create and optimize dispute response content, evidence frameworks, and industry-specific playbooks based on network requirements and best practices
* Research and document PSP-specific requirements, evidence formats, and submission guidelines across different payment processors
* Analyze patterns in dispute outcomes using SQL to identify opportunities to improve cross-segment recovery rates.
* Translate regulatory requirements and industry insights into product feature requirements and optimization strategies.
* Partner with Customer Success, Product, and Engineering teams to implement improvements and enable new business opportunities (industries, payment methods, territories)
* Build and maintain an internal knowledge base to scale domain expertise across the organization.