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We are looking for an enthusiastic, collaborative, and highly motivated hands-on system Administrator with a DevOps mindset to join our infrastructure team and help build and maintain our customer-facing production environments, keeping them secure, monitored, and highly available. This is not only a maintenance role. Together with the team you will stand up complete cloud and on-prem environments, configure network security, automate recurring operational work, and document it so the rest of the team can repeat it. We are looking for someone who takes ownership, wants to understand the full picture, is naturally curious and self-learning, and works independently and methodically, driving production issues to root cause rather than to a workaround. Job description:
* As part of the infrastructure team, build new customer environments from scratch and maintain them ongoing, in cloud (AWS / Azure) and on-prem: compute, networking, Storage, load balancers, DNS, certificates, Active Directory, and application deployment
* Own network security on Fortinet (FortiGate): security policies, NAT, routing, IPSec/SSL VPN tunnels, HA pairs, and FortiAuthenticator / FortiClient EMS
* Manage Active Directory across all customer environments: user accounts, security groups, group policies, permissions, and access control
* Maintain on-prem infrastructure: VMware / ESXi virtualization, backup and recovery, Storage systems, and ongoing server maintenance, including Windows Server updates, patching, reboots, and health checks
* Build and maintain monitoring and alerting, and handle the full lifecycle of SSL/TLS certificates across environments
* Configure and maintain load balancers (HAProxy, Azure Application Gateway, Fortinet), DNS records, and firewall rules for proper access control and security compliance
* Automate recurring operational work using scripting (PowerShell / Bash) and CI/CD tooling (Git, Jenkins)
* Take part in periodic DR and site failover testing together with the team
* Standardize IT processes, improve operational consistency across regions, and document recurring tasks and create runbooks so processes are repeatable and auditable

We believe in giving back to help those in need in the communities where we live and work. And are equally committed to creating a healthier environment and planet through our sustainability efforts.

Job Summary
In this hybrid role (3 days in the office/2 days remote), you will be leading Engineering activities, such as engineering projects and processes, NPI projects, Leading HS&E activities and more.

Coordinate multiple projects simultaneously within Engineering. Formulate, plan, and execute completion of projects in conjunction with technical leads to targeted timelines in a manner compliant to applicable governance policies and procedures. Responsible for compiling reporting status and critical issues to management and customers. Provides analysis for project plans and schedules to identify critical path(s), optimize plans, facilitate discussions between team members. In addition, perform validation of manufacturing equipment, issue documentation such as: validation reports/ protocols, SOPs and Technical docs, on site production support inc. machine repair, failure investigation and more.

Essential Duties and Responsibilities
Lead and manage High volume cross functional and cross organizational engineering projects.
Plan, track, and manage program schedules in DevOps and Microsoft Project.
Drives transparency of program workloads, financial, commitments, and expectations. Analyze, Forecast and Report the program budget.
Monitor resource needs and issues, work closely with resource managers to develop action plans to ensure program commitments remain on track. Compliments team deficiencies and drives financial accountability
Support the development of business cases on assigned programs and track ROI for business initiatives including cost, benefits, and risk.
Knowledge transfer and updating from R&D to Production Floor, for new products, new manufacturing process, new equipment, machines.

A leading and innovative company in the field of cyber threat intelligence is looking for a Full Stack Team Lead to join our growing engineering group and lead one of our full stack teams. As a Full Stack Team Lead, you will play a key role in shaping and developing our products end to end, from system design and architecture to implementation of microservices and modern web interfaces. You will combine people leadership with hands-on technical leadership, working closely with product to deliver reliable, scalable solutions that directly support the companys growth and business goals.
What Youll Be Doing:
Lead and grow a full stack engineering team, creating a culture of ownership, quality, and continuous improvement.
Own the design, development, and delivery of full stack services, APIs and microservices-based environment.
Work closely with Product to translate business and intelligence needs into scalable technical solutions.
Drive technical and architectural decisions within your domain, balancing performance, reliability, and cost.
Maintain high engineering standards through code reviews, testing, and CI/CD best practices.
Be hands-on in the code (around 50-60%), leading by example.
Take full ownership of your teams roadmap, delivery, and technical health.
Technology stack includes: TypeScript (NestJS / Node.js / Angular), MongoDB, PostgreSQL, Elasticsearch, MySQL, RabbitMQ, Kafka, Docker, Kubernetes, AWS, IaC, and more.

As a Senior Backend Engineer on the Exchange Engine team at our company, you will be a driving force behind the core systems of our massive mobile advertising platform. You will tackle complex architectural challenges where every millisecond counts, building real-time, highly concurrent systems that process millions of requests per minute. In this position, your impact extends beyond feature implementation; you will take charge of major initiatives, architect core systems, and raise the bar for engineering excellence across the entire team.
Key Responsibilities
Architectural Design & Execution: Lead the end-to-end design, development, and delivery of complex, scalable, and highly available backend services for our real-time ad exchange. Architect systems with a focus on long-term maintainability, ensuring that large-scale changes and migrations are predictable and low-risk.
Performance Optimization: Profile, tune, and optimize system performance to ensure ultra-low latency and high throughput under massive concurrent loads.
Technical Mentorship: Act as a technical multiplier by mentoring junior and mid-level engineers, conducting rigorous code reviews, shaping technical standards, and promoting software engineering best practices.
Cross-Functional Leadership: Collaborate directly with Product Managers, Data Scientists, and other engineering squads to translate complex business requirements into robust technical solutions and to understand the revenue journey, ensuring technical decisions directly support market competitiveness and platform growth.
Production Excellence: Own the lifecycle of your services in production. Implement advanced monitoring, alerting, and observability to troubleshoot and resolve deep-system production incidents.
Infrastructure Collaboration: Work closely with DevOps to optimize our deployment pipelines and cloud infrastructure (Kubernetes, GCP).
AI-Driven Engineering: Leverage modern AI coding assistants and agentic tools to accelerate development velocity, automate routine tasks, and free up cognitive load for complex architectural challenges.

we are looking for a Senior Software Engineer with strong Python expertise and a passion for solving complex algorithmic problems. You'll work at the intersection of production software, algorithms, and quantum computing, collaborating closely with researchers to turn complex ideas and prototypes into robust, scalable production systems.
What You'll Do
Bridge research and production environments, turning research prototypes and algorithmic concepts into production-quality software.
Own software components end-to-end, from design and architecture through implementation, testing, performance optimization, and productionization.
Implement and integrate complex algorithms in close collaboration with research teams.
Develop and maintain company code across two key areas: research support systems that enhance our researchers' capabilities, and core product development code.
Design software that is robust, scalable, maintainable, and correct across performance-sensitive and edge-case-heavy scenarios.
Why is This Role Unique?
Core software engineering - The role is centered on software architecture, implementation quality, algorithms, performance, scalability, robustness, and maintainability. UI, database-heavy work, and DevOps are minimal to non-existent.
Algorithmic depth - Solve complex computational and mathematically intensive engineering problems, not just standard backend challenges.
Quantum computing focus - Work on emerging quantum computing technology. Prior quantum experience is an advantage, but is not required.
Research-to-production collaboration - Work directly with quantum physicists and researchers and turn research ideas into reliable production software.

We are looking for a Full-Stack Engineer who brings strong ownership, clear communication, and a practical, can-do mindset. You will join the Commerce squad and build high-impact capabilities across our core commerce and internal platforms, including Admin experiences that power pricing, promotions, product data, and order lifecycle flows, as well as Operations and Customer Support. You will operate in a fast-paced environment with high standards, partnering closely with Product, Design, DevOps, and cross-functional stakeholders to deliver meaningful business outcomes. This is an opportunity to influence technical decisions, own features end-to-end, and build scalable systems that support critical commerce experiences used across the business.
Roles and Responsibilities:
Design and implement scalable microservices with strong API contracts and maintainable architecture
Own features end-to-end: clarify requirements, propose technical designs, break down delivery, coordinate dependencies, ship, monitor, and iterate based on real usage and business impact
Contribute to event-driven commerce architecture: publish and consume events, design resilient workflows, handle retries and idempotency, and ensure data consistency across services
Work within a Scala-based monolith, adapting quickly to unfamiliar technologies and applying pragmatic refactoring practices
Work with MongoDB and other data stores as needed, designing schemas and access patterns that support scale, performance, and long-term maintainability
Work with AWS cloud infrastructure and production systems, including observability, deployments, and operational readiness.

We are looking for a Full-Stack Engineer who brings strong ownership, clear communication, and a practical, can-do mindset. You will join the Commerce squad and build high-impact capabilities across our core commerce and internal platforms, including Admin experiences that power pricing, promotions, product data, and order lifecycle flows, as well as Operations and Customer Support. You will operate in a fast-paced environment with high standards, partnering closely with Product, Design, DevOps, and cross-functional stakeholders to deliver meaningful business outcomes. This is an opportunity to influence technical decisions, own features end-to-end, and build scalable systems that support critical commerce experiences used across the business.
Roles and Responsibilities:
Design and implement scalable microservices with strong API contracts and maintainable architecture
Own features end-to-end: clarify requirements, propose technical designs, break down delivery, coordinate dependencies, ship, monitor, and iterate based on real usage and business impact
Contribute to event-driven commerce architecture: publish and consume events, design resilient workflows, handle retries and idempotency, and ensure data consistency across services
Work within a Scala-based monolith, adapting quickly to unfamiliar technologies and applying pragmatic refactoring practices
Work with MongoDB and other data stores as needed, designing schemas and access patterns that support scale, performance, and long-term maintainability
Work with AWS cloud infrastructure and production systems, including observability, deployments, and operational readiness.

Were looking for a Director of AI Engineering to join our organization and lead multiple engineering teams building the next generation of AI-powered products at Coralogix.

This is a hands-on engineering leadership role for someone who is a builder at heart, an experienced software engineering lead who loves to code, understands the full product and technical lifecycle, and knows how to scale both people and technology.

Youll work closely with the VP of AI and leaders across Product, Engineering, and other functions to turn ambitious ideas into high-quality products, while building and mentoring strong engineering teams.



What Youll Do

Lead and manage multiple engineering teams, including managing and mentoring Team Leads.
Set the technical direction and execution standards across the teams.
Stay close to the technology and remain hands-on when needed- this is not a purely managerial role.
Drive the full engineering lifecycle, from architecture and design through development, deployment, and production.
Build and scale SaaS products in a fast-moving environment.
Partner closely with Product and other departments to translate business needs into technical execution.
Make pragmatic tradeoffs between long-term architecture and short-term delivery.
Encourage a culture of ownership, speed, experimentation, and continuous improvement.
Motivate engineers by connecting their work to the broader product and business goals.
Collaborate closely with managers and stakeholders across the organization.
Resolve conflicts effectively and build strong, collaborative relationships across teams.
Help identify technical risks and long-term implications while maintaining a strong focus on delivering results now.

Build the future of endpoint security - protecting customers at global scale, and shaping its next generation.
As a Senior Product Manager on our company's Endpoint Security team, part of our Workspace Security platform, you'll own product areas end-to-end - from strategy through launch and adoption - partnering with R&D, UX, data, and go-to-market teams, and working directly with the customers who use our products every day.
Why this role?
Define the future of endpoint security across prevention, detection, and response
Shape a product used by tens of thousands of global customers
Move quickly, backed by the scale, data, and customer base of a global security vendor
Key Responsibilities
What youll do
Own product areas end-to-end across inbound and outbound: define vision, strategy, and roadmap, then drive positioning, messaging, customer engagement, and enablement to market.
Work directly with customers to understand their challenges and translate them into product direction.
Define new capabilities across endpoint protection, threat detection, and response.
Partner deeply with engineering to make thoughtful tradeoffs between detection efficacy, performance, scalability, and customer experience.
Use data and analytics to guide prioritization, validate direction, and measure impact.
Bring structure to ambiguous problems, and communicate strategy, risks, and progress clearly to stakeholders and leadership.

We are looking for a Senior backend engineer who is strong in Python and enjoys building reliable, data-intensive systems. You will help develop our next-generation platform, integrations with external data sources, and the services that collect, process, and expose data throughout our product.
This is primarily a backend engineering role - not a pure data engineering or DevOps position. However, you should be comfortable working with data pipelines and taking services through the full lifecycle, from design and implementation to production monitoring.
This is a hybrid position, including two work-from-home days per week, with flexibility .
Responsibilities
Design, build, and maintain backend services using Python and FastAPI.
Develop reliable integrations with external APIs, platforms, and data providers.
Build and improve data-collection and processing workflows, including scheduled, asynchronous, and long-running workloads.
Contribute to our new platform and capabilities such as algorithm execution and data collection orchestration.
Design efficient data models and queries for operational databases and analytical systems such as Amazon Redshift.
Handle real-world integration challenges including rate limits, retries, partial failures, idempotency, and changing external schemas.
Improve the performance, scalability, observability, and reliability of existing services.
Own features end to end: technical design, implementation, testing, deployment, monitoring, and ongoing improvement.
Collaborate with product and engineering colleagues to turn ambiguous requirements into pragmatic technical solutions.

we are looking for a seasoned and accomplished Software Engineer to join the Identity Security organization. Identity is the new perimeter, being the leading attack vector in modern breaches. You will be part of the Identities Team, a group of talented engineers dedicated to solving the complex problem of securing identities across hybrid and SaaS landscapes.
Key Responsibilities
Drive Strategic Vision: Contribute to and execute the long-term roadmap for our Identity solutions, ensuring our tech stack evolves alongside industry best practices and global business goals.
Lead Innovation: Research and develop cutting-edge technologies to solve the "Identity Perimeter" problem, turning complex security research into tangible product features.
Architect Scalable Solutions: Design and implement robust, secure architectures capable of managing identities across fragmented SaaS and on-premise ecosystems at enterprise scale.
Foster a Culture of Excellence: Engage in a high-caliber engineering environment through mentorship, collaborative code reviews, and a shared commitment to continuous technical growth.
Collaborate Cross-Functionally: Partner with Product, Platform, and DevOps teams to bridge the gap between complex security requirements and seamless user experiences.
Own Your Career Path: Take on high-impact initiatives and leadership opportunities tailored to your experience level, with access to the resources needed to become a subject matter expert in Identity Security.

Were looking for a Microsoft Dynamics 365 Senior Developer to take the lead in building seamless, scalable internal systems that power our operations. This role is critical to deliver world-class experiences for both our teams and end users by configuring and integrating Microsoft Dynamics 365 CRM and the full Power Platform suite. Youll have significant autonomy, working across Dataverse, Power Apps, Power Pages, Power Automate and the broader Microsoft ecosystem. Your work will directly support regulatory compliance, partner success, and internal workflows, reducing tech debt and improving user experience.
Youll collaborate with peers across time zones, including some US hours overlap, while growing your technical abilities.
Who You Are:
A proactive problem-solver who thrives in dynamic, collaborative environments
A strong communicator, fluent in both Hebrew and English (written and verbal)
Curious, tech-savvy, and driven to implement scalable, maintainable solutions
Motivated by impact and continuous improvement

We are looking for a Principal MLOps Engineer with a deep focus on ML Platforms and Infrastructure to join our Data & AI group at Cortex Research. Our team is responsible for designing, building, and scaling the foundational MLOps and LLMOps platforms that power both our Data Scientists and Security Researchers. You will architect the high-performance core infrastructure that enables these roles to build, train, and deploy advanced AI systems-ranging from optimized Small Language Models (SLMs) to complex agentic workflows and RAG systems. If you are passionate about building scalable compute platforms and automating the full ML lifecycle to solve complex data and security challenges, we want to hear from you.
Key Responsibilities
Scale Distributed Training: Design and optimize infrastructure for training and fine-tuning LLMs and SLMs, leveraging distributed GPU workloads, efficient clustering, and compute optimization.
Automate the ML Lifecycle: Architect robust, automated pipelines for continuous training (CT) and deployment (CD) of models, ensuring a seamless flow from raw data collection to production environments.
Build Model Infrastructure: Own the serving architecture for LLMs/SLMs, balancing latency, throughput, and GPU utilization under production traffic.
Implement Advanced Monitoring: Establish comprehensive observability systems to monitor live model performance, data drift, and computational metrics, feeding insights back into the automated training loops for continuous improvement.
Collaborative Architecture: Partner closely with data scientists and security researchers to productize complex model architectures and streamline their workflows, while collaborating with our DevOps team to integrate with core cloud infrastructure.

We are looking for a GenAI & Competitive Intelligence Engineer to join our Competitive Intelligence team. This role combines deep technical expertise with a builder's mindset to design, implement, and maintain advanced AI-powered systems for automating knowledge collection, generating competitive insights, and ensuring broad internal knowledge sharing across the organization. You will spearhead AI solution projects from initial concept through execution and widespread adoption.

As a GenAI & Competitive Intelligence Engineer , you will
Main role: Build, implement, and maintain the AI-powered intelligence stack, using LLMs, agentic capabilities, MCPs, Skills, and advanced RAG, to automate data collection, analysis and sharing
Make knowledge impossible to miss inside . Build the competitive intel teams interfaces that get the right competitive insight to the right stakeholder at the right time
Drive projects from concept to execution to delivery
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
Ensure the scalability and reliability of LLM-based system architectures
Engage with requirement gathering and product discussions with internal customers
Be the focal point for collaborating with IS, IT and data science teams
Have solid understanding of various aspects of the software development supply chain, including DevOps, DevSecOps and MLOps, and conduct in-depth technical research around them

We're looking for a Senior Marketing Operations & AI Manager to own the systems, processes, and data that power our marketing machine. This is a multidimensional role: you'll be the operational backbone of the marketing team, own performance analytics and funnel visibility, and actively drive AI adoption across marketing workflows, all in close collaboration with the Growth and GTM teams.

Own and optimize HubSpot end-to-end, with working knowledge of Salesforce for field mapping and lead flow alignment
Design, implement, and continuously improve email marketing and nurture campaign strategies to drive engagement, lead progression, and conversion
Maintain operational workflows, scoring models, and segmentation strategies that support personalized, scalable campaign execution
Build and own marketing analytics frameworks, including dashboards, attribution models, and funnel reporting, to give clear visibility into campaign ROI and pipeline contribution
Analyze campaign and channel performance and translate findings into actionable recommendations for the team
Partner with the GTM Operations team to ensure data integrity and unified reporting across marketing and sales
Identify, pilot, and scale AI-powered tools and workflows within the marketing team, from intelligent segmentation and lead scoring to content automation and campaign optimization
Assist with event operations: flows, routing, landing pages, and reporting
Work cross-functionally with content, demand generation, and SDR teams to support pipeline growth
Serve as the go-to operational and data resource for the marketing team