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If you enjoy solving problems where security, scale, distributed systems, and adversarial thinking collide - this is your kind of challenge.
What Youll Do:
Youll collaborate with backend engineers, infrastructure teams and security and cryptography researchers to ship production-grade highly secure digital signing systems, balancing cryptographic rigor, performance constraints, and distributed reliability in a domain where small mistakes have massive consequences. This includes:
Architecting, designing and implementing distributed backend services responsible for key generation, storage and lifecycle management
Developing high-assurance signing protocols and signing flows (utilizing MPC or external signing devices)
Building easy to use, secure backup and disaster recovery mechanisms for cryptographic material
Hardening systems against adversarial conditions and real-world attack vectors
Optimizing performance-critical components that execute complex operations
Providing visible value to customers by constant product optimisation
Winning new customers with industry leading flexible deployments

we are looking for a Senior DevOps Engineer.
Responsibilities:
Build state of the art solutions for our production platform
Work with other R&D teams on mutual projects
Solve diverse complex problems of high scale
Support multi-region environments & provide support to worldwide-based teams
Everything as a code approach: Run our infrastructure with Ansible, Terraform, and Kubernetes
Build and maintain tools for automation, deployment, monitoring, and operations
Troubleshoot and resolve issues in our dev, test, and production environment
Conduct periodic on-call duties and emergency response
Good communication skills

we are looking for a Senior Full-Stack Engineer.
What Youll Do:
Design, implement, and maintain robust microservices supporting high-throughput and low-latency operations.
Build and optimize backend systems that enable developer-facing products such as SDKs, APIs, and webhooks.
Work with both relational and NoSQL databases to ensure data consistency, scalability, and performance.
Collaborate with cross-functional teams to design systems that meet operational and business requirements.
Research and implement cloud-native architectures to support growth and scalability.
Contribute to the creation of developer tools and standards that improve the usability of our APIs and SDKs.

Join a global data team focused on delivering impactful insights and driving strategic initiatives across Fireblocks. As a Senior Product Analyst, youll play a key role in shaping data-informed decisions by applying your expertise in data modeling, analysis, and effective communication. This is an opportunity to contribute meaningfully in a high-growth, fast-paced environment, where youll manage multiple initiatives and collaborate closely with analysts, product teams, and business stakeholders while working with advanced technologies, including AI-driven tools and systems.
What youll do:
Partner with stakeholders to define clear KPIs that reflect both product health and performance as well as company goals.
Translate business needs into actionable analytical solutions through close collaboration with cross-functional teams.
Work with Data Engineers and AI specialists to build scalable, consistent data models that enable deeper insights, including applications such as ranking systems, customer segmentation, and agent-driven automation.
Perform thorough data analysis to uncover trends, inform strategy, and deliver recommendations that enhance growth, customer experience, and operational efficiency.
Present insights in a clear and professional manner to support decision-making across the organization.

Were looking for a Senior Product Manager to lead our Intelligence layer - a foundational system that transforms how matching works across the platform. This role owns the development of our Knowledge Graph and data systems, connecting buyer intent, project scope, seller capabilities, and real delivery outcomes into a unified intelligence layer. You will lead the effort to transform our unstructured marketplace data into structured, outcome-linked signals, forming the foundation for systems that can understand context, reason about fit, and improve matching decisions across the platform. This intelligence layer will power a wide range of capabilities - including retrieval, ranking, personalization, and future AI-native experiences.



What am I going to do?:

* Own our Marketplace Intelligence layer, defining the vision, strategy, and roadmap for context-aware, outcome-driven systems
* Lead cross-functional execution of complex systems, partnering with engineering, data science, and product teams to build scalable, reliable, and explainable solutions
* Lead the evolution of our Knowledge Graph and signal ecosystem, connecting marketplace data to real outcomes
* Drive the use of structured signals to improve matching, personalization, and discovery across the platform
* Navigate ambiguity and define structure across a problem space spanning data, modeling, and product experience
* Drive adoption of these capabilities across key surfaces such as Job Post, Search, and CRM
* Continuously identify gaps in data, signals, and marketplace understanding
* Manage technical complexity while connecting infrastructure efforts to clear business impact

Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

Israels Technology Consulting practice builds enterprise-scale digital platforms that operate in complex, mission-critical environments.
We are looking for a Senior frontend Engineer with deep expertise in modern web application architecture to lead the development of large-scale React -based applications used within hybrid mobile environments. This role focuses on frontend architecture, state management, performance optimization, and scalable UI systems.
What Youll Be Building
* Large-scale React applications written in TypeScript
* Component-driven UI systems and reusable frontend architecture
* Complex state-driven user interfaces interacting with backend APIs
* Performance-optimized frontend layers Embedded in hybrid mobile platforms
* Production-grade frontend systems deployed in enterprise environments

Required Senior Software Engineer - NVIDIA DRIVE Platform
Description
We are building next-generation Level 4 autonomous driving vehicles. We are looking for an experienced software engineer with hands-on experience with NVIDIA DRIVE platforms to help bring up and optimize our software system on NVIDIA DRIVE Thor.
In this role, you will work with NVIDIA DRIVEWORKS, focusing on system bring-up, resource and memory management, and designing software architectures that efficiently leverage NVIDIA hardware acceleration (GPU, DLA, and other compute resources). You will collaborate with algorithm, hardware, and verification teams to ensure reliable, high-performance software running on real autonomous vehicles
Responsibilities
Bring up and integrate software systems on NVIDIA DRIVE platforms (Xavier / Orin / Thor).
Develop and maintain platform-level software and infrastructure components.
Work with NVIDIA DRIVEWORKS SDK to support perception and system pipelines.
Manage system resources, memory, and compute utilization to ensure optimal performance.
Design software architectures that leverage GPU, DLA, and heterogeneous compute resources.
Debug, profile, and optimize system-level software for performance and reliability.
Integrate software with sensors, hardware components, and other platform modules.
Collaborate with cross-functional teams including algorithms, hardware, and verification.
Support testing, validation, and debugging on development platforms and vehicles.

Required Senior Autonomous Driving Software Engineer
Description
We are building next-generation Level 4 autonomous driving vehicles. As a Senior Software Engineer, you will design, develop, and integrate core infrastructure components that power our perception and planning pipelines. Your work will ensure seamless collaboration between hardware, algorithms, and platform modules - delivering production-grade software that runs in real autonomous vehicles.
Responsibilities
Design and develop infrastructure components to be used across multiple application groups.
Develop and maintain production-grade code for deployment on real vehicles.
Profile, debug, and optimize platform infrastructure modules for performance and reliability.
Integrate software components with hardware and other software modules to ensure seamless system operation.
Work closely with cross-functional teams (hardware, algorithms, and verification) to ensure system-level functionality.
Create and maintain clear technical documentation, including design specifications and system integration details.
Support thorough testing and validation in collaboration with verification engineers.

We are seeking a hands-on Director of Tech Ops to own and evolve our backend platforms, data infrastructure, DevOps, security, and internal IT operations.
This role is foundational to our ability to securely build, train, validate, and operate state-of-the-art autonomous driving systems at scale. The ideal candidate brings deep experience in operating secure, production-grade infrastructure in a data-intensive AI environment, while also leading and growing high-performing teams.
Responsibilities
Own backend infrastructure, DevOps, security, and internal IT operations end-to-end
Design, build, and operate scalable cloud and on-prem infrastructure supporting large-scale AI training, validation, and data pipelines
Lead the architecture and operation of systems handling massive volumes of visual and multimodal data
Establish and continuously improve DevOps practices, including CI/CD, monitoring, alerting, reliability, security, and cost optimization
Define, implement, and enforce infrastructure and data security standards, policies, and controls
Lead security compliance efforts, including implementation and successful audits of frameworks such as ISO 27001 and similar standards
Manage corporate IT systems, access control, networking, endpoints, and external vendors
Partner closely with AI, algorithm, and R&D teams to support ML workflows and evolving compute and data needs
Drive selection, adoption, and integration of cloud platforms, databases, DevOps tools, and third-party services
Define best practices for scalability, availability, resilience, and security across the organization
Lead, mentor, and scale backend, DevOps, security, and IT teams.

Israels Technology Consulting practice delivers complex, large-scale digital platforms for enterprise and public-sector organizations. We design and build production-grade systems that operate in regulated, high-availability environments and serve large user bases.
We are looking for a Senior frontend Engineer with strong native mobile experience to lead the mobile runtime and hybrid integration layer of modern cross-platform applications. This role focuses on bridging web-based UI layers with native Android and IOS capabilities, ensuring performance, security, and production readiness. What Youll Be Building
* Hybrid mobile applications combining web technologies with native mobile capabilities
* Native mobile layers responsible for device features, lifecycle management, and secure runtime integration
* Web-to-native bridges and communication layers
* Production-grade Android and IOS builds distributed through official app stores
* Performance-sensitive mobile user experiences operating in enterprise environments

We are seeking a deeply technical leader to own the architecture, strategy, and hands-on execution of our cloud infrastructure. This role will drive advanced initiatives end-to-end - from foundational system design through production hardening - setting the technical bar for infrastructure excellence across the company.
The Principal Cloud Infrastructure Architect will operate in a fast-paced environment, making high-stakes architectural decisions, balancing innovation with production rigor, and fostering a culture of engineering ownership and operational excellence.
Responsibilities:
Own and drive the end-to-end technical strategy for cloud infrastructure across AWS and multi-cloud environments, from conceptual architecture to production readiness.
Design and implement advanced automation frameworks, internal developer platforms, and tooling utilizing Python, Bash, and modern infrastructure-as-code technologies (e.g., Terraform, CDKTF).
Architect and continuously evolve CI/CD systems and delivery pipelines at scale, reducing friction and elevating developer productivity and deployment safety standards.
Define and enforce organization-wide observability, reliability, and performance standards, establishing best practices for monitoring, alerting, incident response, and system health.
Partner closely with engineering leadership and cross-functional teams to shape infrastructure roadmaps, enable scalable deployments, and ensure resilient production systems.
Make and own high-impact technical tradeoff decisions that judiciously balance velocity, cost efficiency, security, and reliability in a dynamic, growth-oriented environment.
Serve as a technical mentor and force multiplier, elevating the infrastructure capabilities of the broader engineering organization and championing a DevOps-first culture.

We are seeking a highly skilled Senior Product Manager to drive platform integration strategy. This key role requires leading the integration of our platform with all major AI, generative AI, cloud, network, identity, and endpoint platforms. The successful candidate must have a deep technical background, be hands-on, and will be responsible for developing and owning the comprehensive integration roadmap essential for product portfolio. This includes close collaboration with other Product Managers, partners, and customers to execute the company's platform integration strategy.
product management is viewed as an engineering discipline. It involves developing a deep understanding of the true nature of customer pain points, considering their ability to act based on process, people, and technology. Simultaneously, it requires an awareness of the company's current capabilities and a vision for where the company and product need to be to truly empower the market to protect AI Agents. This is an excellent opportunity to take ownership of the product life cycle in a fast-paced startup environment.
Lead the integration of the platform with key AI and generative AI technologies, in addition to the Enterprise ecosystem.
Report directly to the Director of Product Management, offering you the opportunity to lead a strategic part of the broader platform and create clarity that enables our customers to integrate business development within the platform.
Define features and own their backlog, working closely with engineering, research, and product marketing teams to align on trade-offs and drive successful delivery.
Communicate clearly about projects, risks, and accomplishments on behalf of the team.

Were seeking a Senior Security Researcher to drive end-to-end research initiatives that strengthen detection capabilities. In this role, youll investigate emerging attack surfaces, craft and implement innovative detection logic, and test your findings in real-world environments. Its a hands-on position ideal for someone eager to transform research insights into effective, production-grade security defenses.
Responsibilities:
Research AI Agent and LLM-related risks, such as prompt injection and jailbreaking and implement sophisticated detection strategies.
Conduct research on cloud, web, and API security to uncover new threats and attack vectors.
Develop, refine, and design world-class detection logic and rules to enhance runtime protection.
Perform threat-hunting activities across large data sources to identify emerging attack patterns
Drive full-cycle research: from hypothesis and experimentation to production validation.
Collaborate with engineering and product teams to deliver actionable insights.

Required Customer-Facing Data Scientist - Demand Forecasting
HQ in Tel Aviv with a growing sales and marketing organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, Mars, and SciPlay.
Demand Forecasting Team:
The Demand Forecasting team is at a pivotal, high-growth stage. We have successfully built our core pipeline and are now aggressively onboarding new, diverse customers. This role is highly dynamic, requiring a blend of technical depth, proactive research, and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities:
As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:
Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of our Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.