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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.

We are looking for a hands-on QA & Automation Team Lead who embodies ambition and positivity.
Someone who can passionately take ownership of quality across our high-level software, lead by example, and collaborate effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Responsibilities:
- Own the quality and test automation strategy across QM's high-level software, including our SDKs, APIs, user-facing tools, and the services around them.
- Lead a team of QA and automation engineers - setting technical direction, mentoring, and growing the team's capabilities while staying hands-on.
- Design, build, and maintain robust automation frameworks and the test suites that run within our CI flows, validating functionality, performance, and stability.
- Define test plans, coverage goals, and quality gates in close partnership with R&D, architecture, and product teams.
- Partner with DevOps to integrate test suites into the CI/CD pipelines they own, ensuring quality gates are well-defined and effective.
- Own Tier 2 customer support for software issues - investigating escalations, reproducing and diagnosing problems, driving them to resolution, and feeding insights back into test coverage and product quality.
- Drive root-cause analysis and continuous improvement of test reliability, flakiness, and release confidence.
- Establish metrics and reporting that give the organization clear, actionable visibility into product quality and release readiness.

As a Staff Engineer, youll play a leading technical role across our Data & AI domains - agent workflows, close management, and data & network. Youll design and build the foundational systems that power these products, working on high-impact, mission-critical services and helping set the technical bar for the team.
What youll do:
Own features end-to-end - Take ideas from early concept through production across agent workflows, close management, and data & network. You wont just write code - youll ship real systems, iterate quickly, and see the impact of your work in production.
Think beyond the task - Take initiative, understand the broader system and business context, and help drive both product and technical decisions. This is not a ticket-driven role.
Leverage AI-accelerated development practices - Use modern AI coding tools to improve development velocity, code quality, and testing efficiency while building robust, secure, and scalable infrastructure.
Backend-focused, full-stack mindset - Your core focus will be backend systems across agent workflows, close management, and data & network, but youre comfortable operating across APIs, data, infrastructure, and DevOps when needed.
Mentor and guide the team - Support and mentor engineers, and guide architectural decisions to raise the technical bar across the team.
Partner across stakeholders - Work closely with Product and Engineering Management to ensure alignment on mission, prioritization, and team focus. Be a focal point for engineering questions, bringing a business mindset and a clear understanding of our goals.
Design for scale - Build backend services that are reliable, maintainable, and architected to scale with the platform.

We are looking for an experienced Software Engineer (4+ years) to join the team as an AI Integration Engineer, supporting one of our enterprise clients as part of their AI-Native Development program.
In this role, you will act as an AI Champion and Technical Mentor within the clients R&D organization. Your mission is to help development teams effectively integrate AI tools, agentic coding workflows, and best practices into their daily software development lifecycle (SDLC). You will help guide teams through AI adoption, help overcome resistance, and ensure AI delivers real value.
This is not a feature-delivery or coding-focused role, especially in the early stages, the position is centered on enablement, training, and integration, working closely with teams to embed AI development tools into real workflows and support the organizations AI transformation.
This is a high-impact role focused on technical enablement, AI expertise, and effective collaboration with development teams, and intended for experienced engineers who actively use AI in their day-to-day development work and are looking to influence how teams work, rather than for junior profiles or engineers seeking a purely coding-focused position
What Youll Do:
Help drive adoption and optimization of Claude Code and/or similar Agentic coding tools
Support software and QA engineers, answer technical questions and help unblock teams
Stay on the cutting edge of AI releases and best practices, turn your learnings into shareable assets (custom rules, agents, skills, demos, playbooks, etc.)
Measure impact, identify gaps and improvement opportunities across the SDLC
Help defuse resistance to change with patience and empathy
Partner with DevOps, architects and management to track and optimize AI utilization.

Required SecOps Expert
The Security & Information team is looking for someone who is passionate about technology and has a roll-up-their-sleeves mentality to join our global team. Youll play a crucial role in enhancing our security infrastructure, improving networking, ensuring scalability, and maintaining strong security as we continue to grow. If you want to be an industry leader, on a team experiencing hyper-growth, look no further!
What youll do:
As a SecOps Expert, youll be responsible for securing and protecting our infrastructure, including managing and administering various security-related technologies, platforms, and tools. Youll also provide security expertise and guidance to the team on various security-related matters. Youll build and own solutions to quickly identify breach attempts, contain and eradicate threats, streamline our security incident response processes, continuously test our controls, and help the business make informed decisions based on threat intelligence. This is a fast-paced environment, where youll have the opportunity to manage multiple projects at once.
This position requires shift work, including occasional night shifts approximately about once every three weeks. Additionally, there may be occasional Friday Morning shifts, which are compensated with a full day off. However, we prioritize our employees well-being by ensuring that there are no workday shifts immediately following a night shift. Our scheduling aims to maintain a healthy work-life balance for all team members.
Responsibilities
Investigate alerts, triage, deep dive, and come up with proper action items and remediation plans.
Perform host-based analysis, artifact analysis, and malware analysis in support of security investigations and incident response.
Coordinate investigation, containment, and other response activities with business stakeholders and groups.
Develop incident analysis and findings reports for management, including gap identification and recommendations for improvement.
Recommend or develop new detection logic and tune existing sensors/security controls.
Work with security solutions owners to assess existing security solutions ability to detect/mitigate the abovementioned TTPs.
Creating custom SIEM queries and dashboards to support the monitoring and detection of advanced TTPs against the company network.

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 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

Join our company, an innovative startup building a fully-managed LLM-inference platform, that enables data heavy enterprises to perform any AI task at any scale without limits.
We're looking for an Experienced Software engineer to join our founding team. Youll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for AI workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing our company as a leader in adaptive AI compute management.
Join us to tackle the magic that make AI tick under the hood and build the backbone powering the AI revolution.
What Youll Do
- Design and implement the control plane that orchestrates distributed inference across cloud GPU infrastructure.
- Own backend systems responsible for job scheduling, SLA tracking, usage metering, tenancy, auth, and data coordination.
- Build robust APIs that glue together infra automation, ML workloads, and user-facing dashboards.
- Work across multiple cloud providers and BYOC environments-build systems that expect chaos and still work.
- Collaborate with infra, ML, and product teams to abstract complex infra flows into clean interfaces.
- Help define system architecture and lay the groundwork for a platform that adapts to varied customer deployments.

We are looking for a CISO to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection.



As CISO, you will define and execute global security strategy across both internal and product environments, serving as the primary security authority in front of customers, regulators, and auditors.



If you combine strong security leadership and cloud-native technical expertise with deep understanding of enterprise sales cycles and regulatory standards, and if you are motivated by directly influencing customer trust and enabling the world's largest financial institutions to adopt cutting-edge AI-driven solutions with confidence, could be your next challenge.



Responsibilities:

Define and lead a comprehensive, business-aligned security program that supports growth while mitigating global risk.
Act as the primary interface with customer CISOs, auditors, and regulators, leading security discussions, due diligence processes, and enabling successful deal closures.
Partner with Engineering and DevOps to secure our cloud-native architecture across AWS, Azure, or GCP, including Kubernetes environments, ensuring enterprise-grade resilience.
Embed security-by-design across the development lifecycle, including AI and ML models and data pipelines.
Own and drive compliance with global standards including ISO 27001, SOC 2, NIST, GDPR, and DORA.
Oversee modern security tooling and practices across IAM, SIEM, DLP, CASB, CSPM, and emerging AI security domains.
Lead incident response, business continuity, and cyber resilience planning, including executive-level simulations and ransomware readiness.
Own vendor risk management and ensure end-to-end security resilience across the ecosystem.

We're looking for a talented IT Infrastructure & Cloud Engineer who will be responsible for our IT and Cloud corporate infrastructure.
You will be suggesting, implementing and deploying new solutions together with maintaining the existing infrastructure, assuring that all our systems are in optimal condition, providing the best service to our clients.
Responsibilities:
Be responsible for requests from the field, related to our global corporate on-premise and cloud infrastructure. This includes servers, storage appliances, active network equipment, firewalls, cloud services, cloud automations, CI/CD and other initiatives.
Design and oversee the integration of core services and platforms such as AWS, Google Cloud and Workspace, Okta, Cloud Backups, Zero Trust Network Access (ZTNA), Secure Web Gateway, Cloud-based EDR and other cutting-edge technologies.
Spearhead the strategy, implementation, and governance of GenAI tools and platforms across the company, focusing on process improvement, building internal AI agents, and driving organizational AI transformation.
Lead the architectural design and deployment of scalable, reliable, and secure corporate infrastructure, emphasizing Infrastructure as Code (IaC) principles to manage on-premise and cloud environments.
Define network policies and procedures, including design, planning network new communication systems and monitoring to allow high quality service for our global offices.
Collaborating with our security team to implement technology and security policies, safeguarding our systems and data from potential threats.

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 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 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 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.

What You'll Do:

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.

Where You'll Be: Tel Aviv | Full-time, hybrid.