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We are looking for a talented and motivated Software Engineer to join our newly formed team developing orchestration tools and platforms for AI datacenters.
The main goal of this team is to create customer-focused orchestration solutions that simplify the deployment, management, and optimization of large-scale AI workloads across a full datacenter stack.
You will work on the design and development of orchestration systems that bridge compute, networking, and AI acceleration domains, primarily using Python and modern full-stack technologies.

We are looking for a Full-Stack Tech Lead to play a key role in building this new Cybersecurity unit from the ground up.
This is a highly impactful role for an engineer who can lead end-to-end development, own architecture, and turn advanced ideas into production-ready systems. The role combines hands-on full-stack development, technical leadership, and deep integration of LLM-based AI capabilities into cyber products.
Responsibilities
Lead design and development of full-stack cyber security products, from frontend to backend.
Own system architecture with focus on scale, performance, security, and reliability.
Design and implement AI-powered capabilities using LLMs.
Drive technical decisions and engineering best practices.
Mentor and guide engineers through design and code reviews.
Work closely with product and business stakeholders in a fast-growing unit.

We are seeking We are seeking an experienced Senior Generative AI Engineer (LLMs & Agents) to join our AI squad at KPMG. This role blends deep hands-on engineering with architectural responsibility and client-facing advisory work.
You will design, build, and operate production-grade LLM and multi-agent systems, working on both greenfield initiatives and the evolution of existing GenAI platforms.
You will play a key role in shaping technical direction, best practices, and delivery standards across the GenAI practice.
Key Responsibilities:
GenAI Development & Implementation
Build end-to-end GenAI solutions from POC through production deployment
Design and implement backend microservices architectures for GenAI applications using Pytho
Design, implement, and maintain production-grade Python services with a focus on code quality, performance, and reliability
Architect and develop multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs across complex systems
Evaluate and improve system performance, scalability, reliability, and cost efficiency
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures
Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders
Provide strategic technical guidance on GenAI adoption and system design
Cloud & Platform Ownership
Deploy and manage GenAI systems across GCP, Azure, and AWS
Leverage cloud-native AI services (Vertex AI, Azure OpenAI, SageMaker, etc.)
Own production environments, monitoring, and operational excellence
Continuous Learning & Practice Development
Evaluate emerging GenAI models, frameworks, and techniques
Define and refine best practices for GenAI system development and deployment
Contribute to internal accelerators, methodologies, and knowledge sharing

We are seeking an experienced technical leader to head our collective communication library development team. This role involves leading a team of engineers in developing high-performance collective communication implementations for multi-NPU and multi-node AI workloads.
Key Responsibilities
Lead the design and development of collective communication primitives (All-Reduce, All-to-All, Gather/Scatter and etc)
Architect scalable communication protocols for multi-NPU and multi-node systems
Optimize communication performance for NPU architectures
Provide technical leadership to the team members in NPU programming, distributed systems, and communication protocols
Work with a success-driven worldwide international team (Network, NPU, QA, AI, DL/ML Framework)
Define project milestones, deliverables, and technical roadmaps
Ensure compatibility with major AI frameworks (PyTorch, TensorFlow, JAX).

We are seeking a skilled software engineer to join our NPU software stack development team. This role involves developing high-performance GPU programming frameworks, runtime systems, and libraries for AI/ML workloads. You will be responsible for implementing, optimizing, and maintaining GPU software stack components to support distributed AI training and inference.
Key Responsibilities
Identify bottlenecks, analysis and optimize in distributed NPU eco-system
Design and develop NPU memory management system
Design and develop optimized NPU development framework, execution path and debugging
Develop compatibility with AI frameworks (Triton, PyTorch, JAX)
Write high-quality, well-tested code with comprehensive documentation
Collaborate with other teams (Hardware, Network, QA, AI Framework Integration)
Participate in code reviews and technical design discussions.

We are looking for a driven Technology Implementation Specialist (Microsoft 365 & Copilot) to support the successful adoption of Microsoft 365 and AI-based productivity tools for enterprise clients. The role involves leading workshops, onboarding sessions, and user trainings as part of end-to-end implementation projects, alongside hands-on work within customer environments.
Key Responsibilities:
Lead implementation projects for Microsoft 365 and AI-based productivity tools with global clients.
Conduct discovery and needs assessment sessions to define adoption strategies and technical solutions.
Design and deliver training programs tailored to various user groups.
Deliver professional trainings, workshops, and onboarding sessions (in-person and remote) for end users, managers, and IT teams.
Create clear and user-friendly documentation, playbooks, and learning aterials.
Support clients post-implementation, helping ensure successful and sustained adoption.
Collaborate with cross-functional teams and adapt solutions to meet both technical and business needs.
Utilize low-code/no-code tools (e.g., Power Platform) to build simple agents, bots, or workflows where relevant.
Stay updated on trends and new features within the Microsoft ecosystem and modern work technologies.

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, intelligent automation, and scalable AI platforms.
If youre an innovator at heart, passionate about applying AI to solve complex engineering problems, and thrive in an environment that values experimentation, ownership, and entrepreneurship-this role is for you.
Responsibilities
Develop and integrate AI-powered solutions that enhance engineering productivity, automate workflows, and improve developer efficiency across the organization.
Evaluate, prototype, and implement state-of-the-art AI platforms using latest models and frameworks (e.g., ChatGPT, Claude, Gemini, LangGraph, Librechat, AWS Agentcore Bedrock) to address engineering and operational challenges.
Design, build, and maintain AI-driven internal platforms, including knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Collaborate closely with engineering, DevOps, and product teams to embed AI capabilities into everyday development workflows.
Lead Proof-of-Concept (PoC) initiatives, experimenting with LLMs, generative AI, and automation frameworks to deliver tangible business impact.
Research emerging AI trends, tools, and models, and translate them into practical, production-ready solutions.
Build and operate scalable AI infrastructure that integrates with cloud environments and existing engineering toolchains.
Promote a culture of innovation by empowering teams to adopt AI-driven solutions and sharing knowledge and outcomes across the organization.

We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

We are looking for a Senior AI Engineer to join our Cybersecurity team in Tel Aviv. You will design, build, and productionize LLM-powered applications, multi-agent systems, and MLOps infrastructure that power our company's next-generation cybersecurity capabilities. This is a high-impact, hands-on role at the intersection of applied AI, agentic systems, and network securit
What You'll Do
Design and develop LLM-powered security features and internal AI tools, including RAG pipelines, multi-agent workflows, and prompt-engineered systems tailored for cybersecurity use cases
Architect and operate multi-agent systems in production - including agent orchestration, inter-agent communication, task delegation, and failure handling at scale
Build robust agent monitoring and observability pipelines: tracing agent execution, detecting drift or failure, alerting on anomalous behavior, and maintaining agent reliability SLAs
Build and maintain scalable MLOps infrastructure: model serving, evaluation frameworks, experiment tracking, and CI/CD for ML models
Work with internal datasets (network telemetry, security logs, threat intelligence) to fine-tune and adapt foundation models for domain-specific detection and response tasks
Partner with the Cybersecurity, R&D, and infrastructure teams to define AI-driven security features and deliver them end-to-end
Establish best practices for model observability, safety, and responsible AI deployment within the organization
Stay current with the fast-moving LLM/GenAI and agentic AI ecosystem and evaluate emerging frameworks, models, and tools for adoption.

We are establishing a new backend group that will take full ownership of a core application area.
We are looking for a Senior Backend Developer who will lead the backend effort end-to-end - from initial architecture and technology choices, through implementation and scaling, and into long-term ownership and evolution.
This is a hands-on technical leadership role. You will design, build, and own production systems, work closely with multiple teams, influence product direction, and set the technical bar for the group.
We embrace an agile mindset - you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements.
Responsibilities
Take full ownership of the backend architecture for a major application area
Design and implement scalable, reliable, and maintainable backend systems
Lead technical design and decision-making, including technology and architecture choices
Work closely with product, frontend, platform, and other backend teams
Participate in product vision discussions, brainstorming, and planning sessions
Translate product requirements into robust technical solutions
Write high-quality, production-grade code
Drive debugging and root-cause analysis of complex production issues
Ensure best practices in performance, reliability, security, and observability
Mentor and technically guide other backend engineers as the group grows.

We are currently looking for a talented and highly motivated Controller to join our Group Finance team.
A global fintech group that was founded in 2008 and is listed on the London Stock Exchange with a market cap of approx. USD 3.5 Billion and included within the FTSE250 index. At the heart of our business is our fully-owned and proprietary technology, which powers our trading platforms on OTC, share dealing, and Futures trading. The Group operates in more than 60 countries and retains operating licenses in the United Kingdom, Australia, Cyprus, Israel, New Zealand, South Africa, Singapore, Seychelles, the United States, Estonia, Japan, the United Arab Emirates, and Canada.
The successful candidate will oversee the aspects of financial reporting, local tax submissions, and regulations. On-going cooperation, monitoring budget VS. actual results, as well as the development of internal control policies and procedures. Responsibilities will also include managing and monitoring the financial activity with local management, external advisors, including external accounting firms, and periodic financial reporting. In addition, the role will require support in the implementation of new operations and regulations and the initiation of processes.
Responsibilities:
Ensuring the timely and accurate preparation of the monthly, quarterly and annual closing process.
In charge of the external audit work, including of Financial Statements.
Ensuring that appropriate systems and internal controls are implemented and maintained throughout the Accounting & Finance processes.
Headquarter ad hoc tasks on deep accounting, taxes, and projects
Work closely with subsidiaries, and provide support and guidelines to the local finance teams
Responsible for oversight and managing the accounting systems entries.
Manage and support day-to-day finance operations activities, including accounts payable, cash flow and banking transactions.
Managing the Companys Taxation affairs via the calculation, provision and payment of all applicable taxes in a timely and efficient manner.
VAT Reconciliation, review of all vatable entries, preparation of VAT reporting package.
Monitoring the subsidiaries bank accounts and Daily bank account payments.
Preparation of Budgeted Vs. Actual spreadsheets.
Manage the financial reporting packages to the HQ by the subsidiaries and inter-company calculations.
Review of the Subsidiaries Capital Adequacy ratios.
Responsible for ensuring proper signatory rights are being implemented and followed on a Group level.
Work closely and become a business partner of other units in the organization which affect financial reporting
Review and analyze financial statements in accordance with International Financial Reporting Standards (IFRS).

We are looking for a Senior Frontend Developer to join our group, where we build scalable, high-performance systems that manage complex network infrastructures at massive scale.
In this role, you will take end-to-end ownership of a core domain within our application - an area defined by complex user workflows, intricate application logic, and high-scale data interactions. You will be responsible for shaping its technical direction, ensuring architectural soundness, and building the foundation that enables the domain to evolve alongside a broad and ambitious roadmap.
This is a high-impact position that requires strong technical judgment, long-term thinking, and a commitment to engineering excellence in a fast-paced, collaborative environment.
Responsibilities
Design and implement complex UI workflows with advanced client-side logic.
Architect scalable frontend solutions to support high-volume data and real-time interactions.
Build and maintain domain-specific infrastructure, abstractions, and reusable components.
Lead major technical decisions and guide implementation strategies.
Integrate real-time data streams into responsive, reliable interfaces.
Develop advanced visualization components (e.g., graph-based UIs).
Write comprehensive unit and E2E tests to ensure stability and maintainability.
Optimize performance, accessibility, and overall user experience.
Collaborate closely with backend engineers, product managers, and UX designers.

We are seeking a Senior Network Engineer to join our AI datacenter development team. This role involves testing, validating, and scaling advanced network infrastructure across multi-vendor environments. You will be responsible for replicating real-world AI datacenter topologies, validating performance under stress, and ensuring network solutions deliver uncompromising reliability, scalability, and performance.
Key Responsibilities
Define and execute regression, functional, performance, and scale test suites for network infrastructure
Investigate complex performance and scaling bottlenecks in AI datacenters
Design and build customer-scale testbeds emulating diverse network architectures
Write and debug automation scripts (Python, Bash) to drive traffic generators and manipulate test environments
Analyze large-scale test data to identify root causes of hardware/software issues across multi-vendor platforms
Collaborate with R&D and architecture teams to validate ASIC and micro-architectural behaviors
Support POC efforts, innovation initiatives, and customer use-case reproductions
Generate comprehensive test reports highlighting results, insights, and recommendations
Validate network protocols and hardware-software interactions in AI workloads.