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As a Staff Engineer in the Data & AI Platform group, you will be a senior technical leader responsible for driving the design, implementation, and delivery of complex, high-impact features across our companys data and AI ecosystem.
You will set engineering standards, lead cross-team initiatives, and provide hands-on technical guidance to developers working on large-scale, cloud-native distributed systems.
This role combines deep technical expertise with leadership: shaping the platforms architecture, mentoring senior engineers, and ensuring technical excellence and execution.
In this role you will
Lead end-to-end development of high-priority, cross-team features and initiatives in the Data & AI platform.
Design and implement scalable, resilient, and secure distributed systems in a modern cloud environment.
Drive technical decision-making, influence architecture directions, and collaborate closely with product, data engineering, and AI teams.
Mentor developers, support their growth, and elevate engineering practices across the group.
Promote engineering excellence through code reviews, design reviews, and continuous improvement initiatives.
Evaluate new technologies and guide their adoption where appropriate.
Collaborate with engineers and managers across our company to align standards, share knowledge, and lead technical deep dives.

We are looking for a highly skilled AI Engineer with a strong engineering mindset to bridge the gap between research and production.

In this role, you will be responsible for validating AI models developed by our Data Science team against real-world production systems, and then leading their optimization, deployment, and ongoing maintenance.

You will be part of the R&D team, working closely with engineers, data scientists, and product managers to ensure our AI solutions are scalable, reliable, and deliver long-term value.

If you enjoy working at the intersection of AI and engineering bringing models to life in production, optimizing for performance, and building reliable systems this role is for you!

Responsibilities
Lead the transition of AI models from proof-of-concept to full-scale production, ensuring they meet architectural, scalability, and performance standards.
Build observability and troubleshooting tools for AI services in production, including logging, performance tracking, and failure analysis pipelines.
Optimize inference performance, including latency, resource usage, and throughput, while maintaining model quality.
Manage model versioning and deployment readiness, including handoff processes, rollback plans, and configuration management.
Partner with the Data Science team to assess model readiness for production, validate input and output compatibility, and ensure assumptions align with real-world system behavior.
Collaborate cross-functionally with DevOps, backend engineers and data scientists to ensure scalable, secure, and cost-effective deployment of ML models

As a Senior Backend Engineer, you will play a key role in leading the design, development, and delivery of high-quality backend solutions. Youll work across squads, mentor developers, and take an active role in shaping scalable infrastructure and intelligent data-driven services.

You will work with technologies such as Kotlin, Python, Kafka, Kinesis, and Kubernetes, while collaborating closely with product, DevOps, and machine learning teams. Youll help guide the evolution of backend systems through infrastructure leadership, architectural decision-making, and strategic adoption of productivity tools like Copilot and Cursor.

Were looking for someone who leads by example, thrives in cross-functional environments, and is passionate about scalable, intelligent systems.

Key Responsibilities

Take a proactive role in a business-driven Squad and own your domain
Design, implement, test, deploy, and monitor backend infrastructure and business features
Maintain high-quality standards and write readable, testable, modular, and maintainable code
Build tools and processes to improve and accelerate our development lifecycle and take our road safety solutions to the next level
Collaborate while sharing your knowledge with other team members throughout the R&D
Guide and mentor engineers across teams, fostering collaboration and elevating technical standards
Take ownership of backend infrastructure initiatives, from design to implementation, with a focus on scalability, maintainability, and system performance
Contribute to the adoption and integration of Generative AI tools and practices to enhance developer productivity and code quality
Shape core infrastructure decisions and lead backend architecture at scale
Act as a multiplier for engineering excellence through strong cross-functional collaboration

We are seeking an experienced and hands-on Head of Support to lead our global Support organization. This role oversees Technical Support Engineering (TSE) functions, escalations, incident leadership, customer experience, and global operational excellence. The ideal candidate brings strong technical depth, proven leadership in SaaS/B2B support, and the ability to build a high-performing, customer-focused support culture.

Global Support Leadership:
Lead and coach global Technical Support Engineering teams.
Ensure high-quality support with improvements in CSAT, response/resolution times, backlog, and KPIs.
Maintain clear global processes and standards.
Align with regional leads for coverage across time zones.

Technical Expertise & Escalations:
Act as the senior escalation point for complex issues.
Guide engineers in root cause analysis, distributed systems, and observability.
Oversee incident management with strong communication and collaboration.
Maintain hands-on knowledge of our architecture and tooling.

Operational Excellence:
Drive continuous improvement to streamline workflows and reduce escalations.
Enhance productivity through better tools, processes, and automation.
Own KPI frameworks, dashboards, and data-driven reviews.
Partner with Product and Engineering to bring customer insights into product enhancements.

Customer Experience:
Promote a customer-first culture in Support.
Represent Support in critical situations and executive escalations.
Ensure consistent, clear communication with customers.
Strengthen collaboration with Sales and Product.

Training & Team Development:
Own onboarding and ongoing training for Support engineers.
Ensure the team stays current on product capabilities.
Foster collaboration, accountability, and ongoing learning.

We are looking for a motivated Automation and QA Manager to join our Cortex Data Security group in our Tel Aviv R&D center.
The team is responsible for the quality of Cortex Data Security products and development of E2E test automation framework, and tools. In this role you will build, lead, train and motivate our automation team and be responsible for planning and execution of automated and manual tests. All of this in a fast pace process of development, test and release.
More information about Cortex products can be found here.
Your Impact
Build and lead a team of automation and QA engineers as an organic automation team within a development group.
Own your team's technical roadmap of automation, strategy, implementation, execution, tracking and reporting
Responsible for the quality of our company products and specifically the Data Security group.
Be a technical lead, including responsibility for code reviews, recruiting, personal development, training and mentoring the automation engineers.
Partner with software development managers, functional, system & performance QA leaders to devise test automation strategies to drive the automation and to come up with extensive automation coverage of testing.
Collaborate with the DevOps team to ensure test framework and methodologies are integrated with the continuous integration.
Implement infrastructure & automatic tests (be hands-on to some extent).

You will be responsible for:
* Systems Administration of the core systems and tools related to customer journey
* Configure databases, automations and UI/UX.
* Ensure data integrity, user management, and governance across the stack.
* Build and maintain cross-system integrations using iPaaS solutions to ensure seamless data flow between tools.
* Being a main stakeholder in the AI builders group to integrate wisely cutting edge technologies together with the well-stabled primitive systems.
* Partner with the cross-business operations team, mainly with RevOps, DevOps and FinanceOps teams.
* Identify manual processes and design scalable automation solutions.
* Support dashboards, KPIs, and analytics initiatives with well-structured data pipelines.
* Support new tool evaluations, and implementation projects.
* Provide training, documentation, and best-practice enablement for end-users.


About ActiveFence:
ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

Hybrid:
Yes

We are seeking an experienced and highly skilled Senior Python Backend Developer to join our dynamic team.
You will be at the heart of our engineering efforts, responsible for designing, developing, and maintaining the high-performance, scalable, and secure cloud-based solutions that power our Fintech Compliance and Risk management products.
Working with cutting-edge technologies like Python, Node.js, and AWS, you will build innovative, low-latency, and highly available systems that form the core of our business. In this role, you will be instrumental in shaping our technical architecture and driving excellence in a fast-paced, evolving environment.
Key Responsibilities:
Architecture & Development: Lead the design and development of robust, scalable, and secure backend systems and APIs, primarily using Python.
Cloud Infrastructure: Architect, build, and maintain high-scale solutions on modern cloud platforms (specifically AWS) to ensure reliability, scalability, and performance.
System Performance: Design and implement services optimized for low-latency processing, high availability, and fault tolerance for mission-critical financial applications.
Technical Leadership: Provide technical leadership and mentorship to junior and mid-level developers, fostering best practices in code quality, testing, and maintainability.
Product Focus: Develop and enhance Compliance and Risk management products for the Fintech sector, ensuring they meet strict regulatory requirements and industry standards.
Optimization & Reliability: Take ownership of system performance, scalability, and reliability. Proactively identify and resolve bottlenecks in code and architecture.
Collaboration: Work closely with cross-functional teams, including frontend developers, DevOps engineers, and product managers, to deliver seamless end-to-end solutions.
Innovation: Stay current with emerging technologies and industry trends, driving the adoption of new tools and frameworks to solve complex challenges effectively.

We are looking for a talented Full Stack Engineer to join our growing web application engineering team.
This is a unique opportunity to join a high-performing, tech-driven environment where you will influence architecture, shape new features, and contribute to building a robust, scalable platform.
In this role, you will work across the stack - designing and developing end-to-end features, improving system performance, and helping build an engineering culture that emphasizes quality, reliability, and clean code.
You will collaborate closely with our Product, Data, and AI teams to build innovative, AI-driven capabilities that power the next generation of creative intelligence.
As part of a fast-moving startup and an industry leader, your contributions will directly impact our product evolution and customer experience.
Key responsibilities:
Design, develop, and own fullstack features end-to-end, from planning to deployment and monitoring.
Contribute to architectural decisions and help build scalable, maintainable systems.
Write clean, testable, and well-documented code while upholding high standards across the team.
Diagnose, debug, and resolve complex issues while continuously improving platform reliability.
Collaborate closely with cross-functional teams (Product, Data, AI) to deliver high-impact solutions.
Participate in code reviews, knowledge sharing, and ongoing improvements to development workflows.
Stay up to date with modern technologies and bring fresh ideas to improve efficiency, tools, and developer experience.

We're looking for a Security Engineer - our company Product to spread the power of our company. 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 companys products, CI/CD infrastructure, and production infrastructure. Youll also have the opportunity to influence our product roadmap by utilizing our company-for-our company to assess, monitor, and harden our environments.
WHAT YOULL DO
Lead threat modeling and security review exercises across our companys 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 company Federal team extending our DevSecOps and Product Security practices to our companys FedRAMP environment and ensure it meets key security requirements
Build deep functional partnerships with our companys engineering and operations teams helping them deliver secure-by-design solutions.

The Engineering team is looking for a Senior Integration Engineer to join our Edge Infrastructure Group.
In this role, you will be part of a team responsible for designing and implementing the container platform for enterprises and telecommunication companies and contributing to industry-leading technologies in the Kubernetes ecosystem.
As a part of a geographically distributed team, you will collaborate with multiple engineering teams and open source communities around the globe. To be successful in this role, you'll need to have motivation, curiosity, passion for problem-solving, and experience with Linux technologies and open source.
What You Will Do:
Play an active role applying Kubernetes and OpenShift to customer use cases
Develop and integrate changes in multiple projects using open source methodologies to provide end-to-end solutions
Troubleshoot, analyze bug root causes, and provide resolutions
Review design, enhancement proposal, and patches from other team members and other collaborators
Work with various engineering team to ensure products are developed and tested correctl
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

We are looking for an experienced MCP (Model Context Protocol) Software Engineer to design, develop, and optimize Model Context Protocol implementations.

You'll work on building robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.

Key Responsibilities:

MCP Development & Implementation:
Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services)
Build and maintain MCP client integrations for AI applications and platforms
Implement secure authentication and authorization mechanisms for MCP connections
Develop custom MCP tools and resources to extend AI capabilities

Architecture & Design:
Architect scalable MCP solutions that handle high-volume data access patterns.
Design efficient protocol implementations that minimize latency and maximize throughput.
Create reusable MCP components and libraries for internal and external use.
Establish best practices for MCP server development and deployment.

Integration & Collaboration:
Integrate to our identity platform.
Work with DevOps teams to deploy and monitor MCP services in production environments.
Partner with security teams to ensure MCP implementations meet. compliance and security requirements.
Integrate MCP solutions with existing infrastructure and third-party services.

Quality & Performance:
Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests.
Monitor and optimize MCP server performance and resource utilization.
Debug complex issues in distributed MCP environments.
Maintain detailed documentation for MCP servers and integration patterns.

Contribute to Open Source:
Engage with the open-source community, contributing to the development and improvement of MCP.

Were looking for an experienced and visionary VP of R&D to lead and scale engineering organization. This is a key leadership position, reporting directly to the CTO, responsible for driving technical strategy, execution, and delivery across multiple product lines.
You will lead our delivery teams, work closely with Product and Architecture, and ensure we build a secure, scalable, and innovative cloud-native platform.
As part of the management team, you will shape company strategy, influence culture, and take ownership of production environment and overall R&D success.
Responsibilities:
Lead R&D organization, including multiple engineering teams, architects, and managers.
Drive execution and delivery of core platform and new product initiatives.
Collaborate with Product to plan, prioritize, and deliver features from concept to production.
Oversee production stability, performance, and security, ensuring smooth operations at scale.
Guide technical direction and architecture decisions across the platform, addressing challenges in multi-tenancy, scaling, and cloud-native systems.
Mentor and develop managers and engineers, creating a culture of ownership, accountability, and excellence.
Recruit and structure the R&D organization for the next phase of growth, attracting top talent and building an elite team.
Champion innovation and experimentation, encouraging teams to push the boundaries of whats possible.
Partner closely with the executive team to align R&D with business strategy and deliver measurable impact.

We are looking for a motivated Automation Manager to join our Cortex Platform QA group in our Tel Aviv R&D center.
The team is responsible for the design and development of UI and E2E test automation framework and tools and implementing automated tests of the company Cortex platform and the solutions built on top of it Cortex XDR, Cortex XSIAM and more.
In this role you will lead, train and motivate our UI automation team and be responsible for planning, execution and reporting of automated testing. All of this in a fast pace process of development, test and release.
More information about Cortex products can be found here.
Your Impact
Lead a team of automation engineers (5 to 8 engineers) as an organic automation team within a UI Automation group, reporting to UI Automation group leader.
Own your team's technical roadmap of automation, strategy, implementation, execution, tracking and reporting.
Design test infrastructure and environments.
Be a technical lead, including responsibility for code reviews, recruiting, personal development, training and mentoring the automation engineers.
Partner with software development managers, functional, system & performance QA leaders to devise test automation strategies to drive the automation and to come up with extensive automation coverage of testing.
Collaborate with the DevOps team to ensure test framework and methodologies are integrated with the continuous integration.
Implement infrastructure & automatic tests (be hands-on to some extent).

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 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.

Were hiring a Senior Architect to shape our end-to-end architecture across domains, services, APIs, cloud infrastructure, and platform foundations while guiding how AI and automation integrate into our systems.
You will lead high-impact architectural initiatives that shape the future of our products and platforms. Youll tackle complex, company-wide challenges such as redefining service boundaries and domain models for scale, transitioning legacy flows into modern cloud-native and event-driven architectures, and establishing shared platform components that accelerate development across teams. You will also define secure, scalable patterns for AI-driven workflows and integrations, influencing the technical direction and enabling the next generation of product capabilities.
This is a high-impact role influencing how we build, scale, and deliver software across the entire company.
Responsibilities
Own the architecture across our platforms, services, and domains.
Define standards for microservices, APIs, integrations, domain boundaries, reliability, and data flows.
Lead high-level solution design across multiple business and technical areas.
Own AWS architecture: scalability, resilience, networking, security, observability, and cost optimization.
Drive architecture reviews and cross-company engineering decisions.
Guide our approach to AI integration (ADLC), defining patterns and architectural guardrails.
Evaluate and integrate emerging technologies with meaningful business impact.
Build and evolve the Engineering Platform (templates, paved roads, tooling, SDKs, inner-source foundations).
Collaborate across R&D, Product, DevOps, Security, BI, Marketing, and Sales.
Mentor senior engineers and promote best practices.