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required Infrastructure Lead
Responsibilities
Act as a feature owner, driving the design, development, and delivery of key components in RADCOMs high-performance monitoring system.
Take technical ownership of major projects, ensuring high-quality architecture, performance, and scalability.
Design and implement efficient algorithms and data structures to optimize system functionality.
Identify system bottlenecks and implement optimizations for high-speed performance in a multi-threaded, real-time environment.
Oversee the full software development lifecycle, from architecture and design to deployment and production support.
Work closely with cross-functional teams (Product, DevOps, QA, R&D) to define technical requirements and align on project goals.
Conduct code reviews, enforce best practices, and drive technical improvements across the codebase.
Stay up-to-date with emerging technologies, evaluating their potential impact on system performance and scalability.

We are looking for a Field Application Team Leader for our Application Engineering group. In this pivotal role, you will lead a high-performing technical team based in both Israel and North America. You will be the technical authority bridging the gap between our cutting-edge LiDAR technology and our global customers in the automotive, robotaxi, and smart infrastructure sectors.
As a Team Leader, you will ensure your team successfully performs demos and integrates our products into customer platforms, unblocks technical bottlenecks, and provides the feedback loop necessary for our R&D teams in Israel to maintain our market leadership.
What you'll do:
Team Leadership: Manage and mentor a global team of Application Engineers (IL & US). Define KPIs, oversee professional growth, and ensure seamless collaboration across time zones
Technical Strategy: Define the best practices for product demonstrations, field testing, and customer integration workflows
Bridge to R&D: Act as the primary technical interface between the field (North America) and HQ (Israel) product, engineering, and validation teams
Customer Excellence: Oversee high-stakes technical engagements with automotive OEMs and robotaxi providers, ensuring top-tier support and rapid issue resolution
Resource Management: Prioritize team tasks to support both existing customer maintenance and new business opportunities (Sales support)
Hands-on Oversight: Jump into complex technical "firefighting" when necessary, providing expert guidance on HW/SW troubleshooting and system integration

We are looking for a Big Data Software Engineer to join our growing team. In this role, you will be responsible to design and development of our big data processing engine.
Responsibilities
Design and development of high-quality big data processing engineer
Identify and proactively address potential product risks and challenges and ensuring success
Work closely with stakeholders to transform requirements into technical specifications
Ensure that the code is consistent with industry coding standards and best practices
Take a deep dive into the technical details and provide expert advice and solutions

we are looking for a Help Desk Team Leader.
As the IT Support Team Leader, you will lead a small team of IT support professionals while remaining fully hands-on.
You will take ownership of global end-user support, set priorities, and drive a strong customer service approach. This role requires strong technical expertise and active hands-on involvement.
What you'll do:
Team Leadership & Development - Lead, mentor, and grow a high performing IT support team with a strong focus on service quality and user experience
Global IT Support - Deliver consistent, high quality IT support for employees worldwide, including remote users
Hardware, Software & Vendor Management - Manage IT assets, licensing, procurement, and vendor relationships
Knowledge Management & Training - Build and maintain documentation, training materials, and self-service tools
Automation & Service Optimization - Drive automation and process improvements to increase efficiency and reduce manual effort
Cross‑Functional Collaboration - Partner with infrastructure, security, and IS teams to align support with organizational goals
KPIs, SLAs & Insights - Monitor service performance using KPIs and SLAs to continuously improve delivery
Tech Lead - Serve as a hands‑on technical leader, promoting modern tools and best practices across the team

We are looking for an experienced and talented Technical Project Manager with high technical capabilities to join the team.
What you'll do:
Lead the HW development stream of Innovizs products.
Act as a technical project manager and work in a matrix style with all RnD professional disciplines.
Work with multiple teams and disciplines in the RnD and Operations departments and responsible for being the connecting link between the different groups, Opto-mechanics, HW, System architecture, SW, and more.
You will have an end-to-end project management responsibility for the HW deliveries during the project.
As part of the HW deliveries, the technical project manager is responsible for the full design cycle of the HW, from the product and system requirements closure, HW design of the full system (optomechanical and electrical) and releasing all parts to production to full HW integration and bring up. HW deliveries are followed by a full validation phase including HW failure analysis and all according to customers' schedules and delivery plans.
Be responsible for following the design for manufacturing (DFM) practices and working tightly with NPI and production teams.
Be the point of contact (POC) in front of the customer on all HW-related topics, managing and monitoring the day-to-day activities according to the delivery and project plan and according to the companys targets.

we are a global pioneer in active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are growing and seeking a talented DevOps Student to join our team!
Position Includes: Help manage the companys DevOps infrastructure. Build, manage & maintain CI/CD pipelines for code builds and automation testing, enabling fast and reliable SW release. Monitor system performance & availability. Manage security roles & code analysis. Configuration management - Cross platform. Work closely with development teams. Maintain and improve existing processes and infrastructure. Review analysis results, generate reports, clear documentation (processes, systems, code pipelines, infrastructure, troubleshooting, logging).

As a DevOps Experience Manager at Fiverr, you will lead our DevEx team with a specific focus on optimizing the end-to-end journey of our software engineers. Your mission is to build and maintain a scalable, secure, and intuitive internal developer platform that minimizes friction and maximizes productivity. You will drive the adoption of modern DevEx practices, ensuring a seamless alignment between engineering workflows, developer satisfaction, and operational excellence. This leadership role requires a balance of hands-on technical expertise and strategic vision, empowering your team to deliver high-quality platform solutions in a fast-paced environment. You will shape Fiverr’s developer productivity strategy - optimizing the "inner loop," enhancing system reliability, and implementing innovative technologies, including Generative AI-driven automation , to provide developers with better self-service capabilities and insights.

What am I going to do?:
Lead and mentor a team of engineers dedicated to developer productivity, fostering a culture of ownership and continuous improvement. Design and implement scalable, secure, and cost-efficient developer platforms and architectures that simplify the path to production. Evaluate and adopt emerging tools and best practices to enhance the developer experience and overall product quality. Drive standards of Infrastructure as Code, comprehensive observability, and automated testing to create a "paved road" for development teams. Monitor productivity metrics and infrastructure reliability, providing data-driven insights to leadership on how to improve engineering velocity. Guide the team in applying GenAI-native tools to automate documentation, provide self-service support for developers, and optimize performance. Partner with cross-functional leaders to influence architecture and development workflows, ensuring the platform meets the needs of all engineering teams. Hire and continue to build the team Report to the VP of Cloud Engineering , contributing to Fiverr's long-term technology roadmap for developer empowerment.

Equal opportunities:
At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is 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, Fiverr will provide accommodation to individuals with disabilities or a special need.

We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.

In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.

If youre passionate about AI, machine learning, and writing high-quality code-and are eager to contribute to innovative, impactful do good projects in the digital health space-wed love to hear from you!

What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.