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Required CI and Automation Engineer
About the position
As a CI and Automation Engineer leading our Release efforts, you will bridge the gap between pure DevOps/Automation and the final delivery of our AI software stack. You wont just be building pipelines; you will be the technical owner of the release cycle, architecting the automation and branching strategies that ensure our firmware and software are production-ready.
You will act as the Technical Gatekeeper, using your deep-dive coding skills in Python and Bash to build the infrastructure of trust that powers our releases. This role is for a hands-on engineer who wants the strategic responsibility of making the Go/No-Go call based on the very automation they have built. If you are passionate about CI/CD excellence and want to see your code directly impact the delivery of world-class AI hardware, this is the role for you.
Responsibilities:
Release Ownership: Lead the technical execution of release cycles, acting as the primary authority and Gatekeeper for software and firmware delivery.
CI/CD Engineering: Design, implement, and maintain robust CI pipelines (e.g., Jenkins, Bitbucket) tailored for release stability and automated validation.
Hands-on Automation: Develop and maintain tools and scripts (Python, Bash) to automate the entire release flow-from versioning and branching to automated reporting.
Technical Triage: Deep-dive into build failures and integration issues. Analyze logs and code changes to make data-driven Go/No-Go decisions.
Branching Strategy: Define and manage complex Git strategies to ensure smooth integration across multiple versions and hardware targets.
Visibility & Reporting: Provide real-time visibility into release health and quality metrics through dashboards and automated status reports.

Required Backend Engineer
The pioneer in AI-powered sports content technology, empowers their clients world-wide to connect with their fans through AI-tailored sports content experiences. Our platform automates the creation, management and distribution of content, enabling sports rights holders to expand reach, grow fan bases, and unlock revenue opportunities across digital platforms.
Why us
innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). You have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and thats just the beginning of what we have to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.
Youll be an integral part of building and scaling our cloud-native OTT streaming platform - powering live sports broadcasting, VOD transcoding, channel monetization, and subscription billing for customers worldwide.
What youll do:
Lead the development and delivery of backend services and APIs using Node.js, TypeScript, and NestJS, deployed on AWS ECS and Lambda.
Architect and maintain scalable microservices that handle live streaming workflows (AWS MediaLive, MediaConnect, MediaConvert), real-time event processing, and high-throughput API delivery.
Own and evolve the platforms monetization layer - Stripe billing integration, subscription management, payment webhooks, ad-serving pipelines (Google IMA), and paywall logic across channels.
Set high coding standards and ensure best practices are followed across the backend team.
Collaborate closely with frontend developers, DevOps, QA, designers, and product managers to deliver seamless end-to-end experiences.

Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work. Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system. With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected. Job description Appdome is looking for a talented, passionate Offensive Researcher to join our innovative research team. If you’re eager to explore cutting-edge mobile security techniques and help safeguard the mobile app ecosystem, this is the role for you! As a key player in our security team, you'll design and execute sophisticated attack simulations on the Appdome platform. Your work will touch on diverse attack vectors, including file systems, networks, jailbreaks, memory injections, and more.

Required Director of Analyst Relations
As the director in our analyst relations program, youll own telling our platform and AI/ machine learning story, effectively managing relationships and be accountable for key outcomes with select industry analysts. By enabling analysts and their audiences about how our products and solutions are changing the world, youll be in a strategic position to drive the business forward - and have a lot of fun doing it! Analyst relations is intentionally integrated with our communications, product GTM plans, and campaigns. A passion for detail and an eye for innovative quality, along with the ability to grasp and translate technical capabilities into clear values for our industry analysts is crucial. In your role, you will be a mouthpiece and advocate that balances our analysts priorities, strengths, research emphasis and more, with creating compelling programs that generate real results for us.
As a Director of Analyst Relations you will...
Build, drive and manage the growth of our analyst relations program at global scale - specifically in our machine learning and AI solutions area.
Drive creation of written and visual materials for usage in briefings, inquiries, updates, events and more for industry analysts.
Plan, organize, and execute analyst programs across channels, such as in-person/virtual events, annual conferences and more.
Source and manage all industry analyst interactions across channels.
Track, measure, and iterate on the strategic impact of analyst activities whenever possible, including performance in key reports, message tests, written opinion materials and more.
Cultivate strong relationships with industry analysts across large and small firms, with an emphasis on enterprise software, DevOps and DevSecOps analysts.
Conduct briefings independently - youre confident and knowledgeable.
Collaborate with the global marketing team on GTM plans, including confidential roadmap planning, product releases and key corporate milestones.
Prioritize, facilitate and manage key analyst activities and requests both internally and externally.
Own and drive internal alignment with your programs to maximize the impact of your efforts.
Establish metrics and KPIs that drive our position as a market leader.
Much more!

We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team.
Youll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep our data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers - while collaborating closely with product, DevOps and analytics stakeholders.
About the Platform group
The Platform Group accelerates our productivity by providing developers with tools, frameworks, and infrastructure services. We design, build, and maintain critical production systems, ensuring our platform can scale reliably. We also introduce new engineering capabilities to enhance our development process. As part of this group, youll help shape the technical foundation that supports our entire engineering team.
Job responsibilities:
Code & ship production-grade services, pipelines and data models that meet performance, reliability and security goals
Lead design and delivery of team-level projects - from RFC through rollout and operational hand-off
Improve system observability, testing and incident response processes for the data stack
Partner with Staff Engineers and Tech Leads on architecture reviews and platform-wide standards
Mentor junior and mid-level engineers, fostering a culture of quality, ownership and continuous improvement
Stay current with evolving data-engineering tools and bring pragmatic innovations into the team.

We are looking for a Full-Stack Software Engineer with a strong backend orientation to join our Search team. Youll help design and build the next generation of our AI-powered search engine-a complex, high-scale SaaS product that processes millions of queries to deliver personalized results in milliseconds.
In this role, youll work at the intersection of information retrieval, machine learning, and scalable web technologies. You will collaborate closely with Product, Data Science, and DevOps to build a product that directly impacts the revenue of the worlds leading brands. Its the best of both worlds: the fast-paced, high-impact "startup vibe" of a dedicated product team, backed by the stability and reach of a global leader.
As a Software Development Engineer on the Search Team, you will:
Plan and execute high-quality developments end-to-end, ensuring our search infrastructure is scalable, performant, and reliable.
Build and optimize core search components, including real-time indexing pipelines, advanced ranking algorithms, and API layers.
Develop advanced UI components that empower merchandisers to manage search results, ensuring a seamless and intuitive SaaS experience.
Architect and maintain cloud-native microservices using Kubernetes (k8s) to support massive traffic spikes and global deployments.
Work in a fast-paced, agile environment where we ship code frequently and focus on business-oriented delivery.
Collaborate across teams to collect requirements, identify technical bottlenecks, and provide accurate estimates for complex features.
Own your code from design to production, including self-study, debugging, and modernizing existing components to the latest standards.

We are always looking for exceptional talent to join us on the journey!
Your Mission:
As an MLOps Engineer, your mission is to design, build, and operate the platforms that power our machine learning and generative AI products spanning real-time use cases such as large-scale fraud scoring, MCP & agentic workflows support. Youll create reliable CI/CD for models and Agents, robust data/feature pipelines, secure model serving, and comprehensive observability. You will also support our agentic AI ecosystem and Model Context Protocol (MCP) services so that models can safely use tools, data, and actions across.
You will partner closely with Data Scientists, Data/Platform Engineers, Product, and SRE to ensure every model from classic ML to LLM/RAG agents moves from prototype to production with strong reliability, governance, cost efficiency, and measurable business impact.
Responsibilities:
Operate & Develop ML/LLM platforms on Kubernetes + cloud (Azure; AWS/GCP ok) with Docker, Terraform, and other relevant tools
Manage object storage, GPUs, and autoscaling for training & low-latency model serving
Manage cloud environment, networking, service mesh, secrets, and policies to meet PCI-DSS and data-residency requirements
Build end-to-end CI/CD for models/agents/MCP tooling (versioning, tests, approvals)
Deliver real-time fraud/risk scoring & agent signals under strict latency SLOs.
Maintain MCP servers/clients: tool/resource definitions, versioning, quotas, isolation, access controls
Integrate agents with microservices, event streams, and rule engines; provide SLAs, tracing, and on-call runbooks
Measure operational metrics of ML/LLM (latency, throughput, cost, tokens, tool success, safety events)
Enforce governance: RBAC/ABAC, row-level security, encryption, PII/secrets management, audit trails.
Partner with DS on packaging (wheels/conda/containers), feature contracts, and reproducible experiments.
lead incident response and post-mortems.
Drive FinOps: right-sizing, GPU utilization, batching/caching, budget alerts.

In the Hybrid Cloud, Zerto drives the innovation agenda and technology roadmap for cutting-edge solutions in data lifecycle management, cyber resilience, replication, ransomware recovery, and seamless migrations. Our mission is to empower businesses with advanced hybrid cloud technologies that ensure data resilience, business continuity, and operational efficiency. With a focus on delivering state-of-the-art solutions, Zerto helps organizations protect, manage, and optimize their data across its entire lifecycle while maintaining robust defenses against evolving cyber threats. By working with customers, we help them reimagine their disaster recovery and data protection strategies, ensuring they achieve their business goals with confidence. Join us to redefine whats next in the hybrid cloud, data protection, and cyber resilience-and for yourself.

Roles and Responsibilities

Design, develop, and enhance I/O subsystems, virtualization, kernel programming, and memory management for cutting-edge system software products.
Drive performance optimization, and efficient memory management.
Perform in-depth debugging, triaging, and resolution of user and kernel-level, performance profiling, and memory-related issues.
Develop innovative solutions, addressing challenges in virtualization, multithreading, and hardware-software interaction.
Explore and implement new methodologies fostering continuous improvement and innovation.
Proactively identify bottlenecks in system design, and recommend and implement robust, scalable solutions.
Stay updated on evolving trends in kernel development, design, and virtualization technologies to bring innovative practices to the team.
Troubleshoot and optimize complex I/O and kernel features to enhance performance, scalability, and reliability.
Collaborate with cross-functional teams to align on design goals and ensure seamless integration with the system architecture.
Exhibit flexibility in taking on new or related tasks, showcasing adaptability and a proactive, problem-solving mindset.
Provide technical leadership in architecture design, problem-solving, and decision-making across complex technical domains.
Lead technical discussions, design reviews, and decisions on critical system challenges, driving the adoption of innovative solutions and best practices.

we are looking for a Senior Machine Learning Engineer I.
As Senior Machine Learning Engineer, youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
20031

our company is looking for a BDR Team Lead to build, coach, and scale our sales development team. Youll own both inbound and outbound pipeline creation, lead a team of BDRs, and play a key role in driving new business opportunities.
This is a hands-on leadership role with real impact, working closely with Sales and Marketing. If you enjoy developing people, building strong team culture, and creating a high-performing pipeline engine - this role is for you.
*This position is based in Israel and requires alignment with U.S. business hours.
Sunday: 10:00-18:00, Monday-Thursday: 12:00-22:00
Your Ownership Will Include
Lead & Grow the BDR Team
Manage and coach a team BDRs with weekly 1:1s, call reviews, and clear goals.
Build a positive, accountable team culture focused on curiosity, ownership, and excellence.
Develop BDRs into future sales talent who can confidently engage technical decision-makers.
Own Inbound & Outbound Pipeline
Lead pipeline creation for mid-market and enterprise marketing teams in North America and Europe.
Run an account-based outbound strategy using intent signals and tight targeting.
Build and optimize multi-channel cadences (email, phone, LinkedIn).
Coach reps to run sharp discovery conversations and deliver high-quality handoffs.
Build the BDR Engine
Create and improve playbooks for targeting, messaging, sequencing, and qualification.
Work with RevOps on territories, routing, processes, and reporting workflows.
Ensure strong CRM hygiene and accurate reporting across Salesforce, Outreach, and supporting tools.
Track funnel performance and drive improvements that focus on pipeline quality - not just volume.
Work Cross-Functionally
Partner with Marketing on messaging, campaigns, ABM, and feedback loops.
Align with Sales leaders and AEs on target accounts, handoff standards, and pipeline expectations.
Collaborate with RevOps to enhance tools, data, and operational processes.

We are looking for a Senior Product Manager to join our Product & Engineering group. In this strategic role, you will redefine the standard for Developer Experience (DX) by shifting the mindset from "writing features" to "managing a product." You will be responsible for transforming our documentation into a dynamic, AI-optimized asset that drives both user success and revenue growth.
As a Senior Product Manager you will
Own the Documentation Product: Define and execute the roadmap for the Help Center, treating content and UX as a core product offering with its own lifecycle, backlog, and KPIs.
Architect Cross-Platform User Journeys: Break down content silos by restructuring documentation around solution-based "Golden Paths" and end-to-end integration guides that simplify complex, multi-product scenarios.
Lead AI & Content Modernization: Redefine our information architecture to be "AI-first," ensuring content is optimized for LLMs, MCPs, and RAG (Retrieval-Augmented Generation) to serve as the authoritative source for both humans and AI agents.
Elevate Docs as a Growth Asset: Collaborate with Marketing and Design to overhaul the documentation portals UX/UI, turning it into a funnel accelerator that builds technical confidence and drives product adoption.
Implement Data-Driven Iteration: Establish robust feedback loops and leverage analytics (e.g., Google Analytics, Pendo) to identify customer friction points and iterate on content based on real user behavior.
Drive DX Excellence: Evangelize a "Docs-as-Code" culture across the engineering organization, ensuring high-quality, scalable, and machine-readable documentation is delivered alongside every release.

looking for an outstanding Software manager to join our interconnect product engineering team. in this role, you will play a key role in crafting the future of networking manufacturing solutions for optical transceivers and next-generation networking solutions. as a leading engineering and TEST solutions group, we develop and deliver brand-new manufacturing TEST solutions, frameworks, tools, and infrastructure. we ensure the highest quality for every nvidia networking system delivered to our customers. we believe that collaboration is essential to innovation. by partnering closely with engineers, hardware and software architects, r&d teams, and external partners, including manufacturing lines, we will drive excellence in software development methodologies. your leadership will not only improve software quality within the group but will also improve the technical skills of the team. at nvidia, we have assembled a team of outstanding individuals dedicated to pushing technological boundaries and defining the platforms of the future. join us in promoting innovation at the forefront of networking solutions!
what you'll be doing:
guide, mentor, and expand your engineering team, ensuring effective planning and execution of projects while maintaining high standards of quality and performance.
coordinate efforts alongside product and program management, engineering and production line teams, and hr to achieve business objectives, improve user experiences, and develop user-friendly production TEST content.
coordinate the complete product lifecycle, including composing, development, build, and improvement of networking systems TEST software.
define product features and roadmaps, understand Product Strategy and market positioning, and drive products to successful completion and deployment.
review architectural builds (electrical, mechanical, process, software) of tested units to identify potential build issues and ensure robust and efficient production, resulting in high-quality products for customers.
identify and mitigate risks, resolve issues affecting project scope, schedule, and quality, and continuously improve processes and procedures within the team to streamline operations.

Required Senior Backend Engineer (Node.js)
Role summary -
As a Backend Engineer in the Pricing & Packaging R&D crew, youll help build our monetization platform from the ground up: pricing and packaging engines that power a global payments platform. Youll work end-to-end on features - from discovery and design through implementation, testing, deployment, and monitoring - using modern AWS-based technologies and leveraging modern AI tools, while maintaining best engineering practices and high quality. This is a chance to join early, influence how things are built, and grow with the team.
Location: Petach Tikva
Hybrid
Full-time
What youll do -
Collaborate closely with Product, Design/UX, DevOps, and other R&D teams to understand business needs and translate them into technical solutions, covering full development lifecycle: discovery, design, implementation, code reviews, testing, deployment, and monitoring.
Design, build, and maintain backend services and APIs for pricing, packaging, and monetization flows, in Node.js and C# over relational and document-based databases (SQL, MongoDB), running on AWS, using containers and Kubernetes.
Write clean, maintainable, and testable code, following engineering best practices.
Integrate with message brokers (e.g., Kafka, SQS, RabbitMQ) to build robust, event-driven services.
Contribute to improving our CI/CD pipelines, observability, and production readiness (logs, metrics, alerts, dashboards).
Continuously learn and share knowledge with the team, contributing to a culture of excellence, ownership and continuous improvement while building each other up.

his is an outstanding opportunity for a technically skilled and analytically driven individual to bridge product strategy and technical execution. You will work closely with cross-functional teams to analyze, model, and define software systems that scale and perform under the demands of our global aggregation platform. Join us in crafting the future of the iGaming industry by contributing to the logical architecture, data flow, and integration build that power world-class gaming experiences!

What You'll Do
Collaborate with Product Managers, Architects, and developers to break down requirements into actionable, high-fidelity system specifications.

Define and detail high-level system design and interactions across client applications, services, and integrations.

Build and maintain logical component models, module interaction diagrams, and data flow diagrams (DFDs), including process flow or UML diagrams.

Build and manage logical data models (ER diagrams) and data dictionaries to describe entities, relationships, and data flow between modules.

Define UI screen flows and navigation logic at a logical level, including optional mockups or wireframes to aid clarity.

Invent and document security layers including authentication and authorization flows, and access control models.

Lead the logical integration build for internal modules and external systems-documenting APIs, data contracts, and integration touchpoints.

Maintain a clear traceability matrix between business requirements, system behavior, and functional specifications.

Lead grooming and system analysis workshops with development teams, ensuring alignment with architecture and solution vision.

Evaluate system impact for feature improvements, changes, or third-party integrations, and document interdependencies and trade-offs.

Support QA teams and UAT processes by clarifying system behavior and data expectations.

seeking a highly motivated and hardworking software engineer with hands-on capability technical experience, to verify the design and implementation of the next generation data processing unit software, with wide range of features related to Cyber security and Embedded systems. this position offers the opportunity to have real impact in a dynamic, technology-focused company impacting data centers across the world. at nvidia, we're united in our quest to transform the way smart adapters are used.
what you'll be doing:
collaboration & communication: work closely with software, architecture, product and DevOps teams to define TEST requirements, coordinate releases, and ensure high-quality product delivery.
end-to-end feature ownership: deep dive into feature sets, taking responsibility from TEST plan development to final implementation and full automation
develop and automate testing: design, implement, and maintain automated TEST scripts and frameworks (primarily in Python ) to verify the correct functionality of our software products
system & integration validation: validate software functionality and performance through system -level and integration testing, utilizing Linux -based environments and virtualization tools.
defect analysis: analyze TEST results, open bugs and track issues to closure, ensuring robust and scalable solutions.
continuous improvement: drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.
TEST environment management: set up, maintain, and optimize TEST environments using Linux, docker, virtual machines, and other modern tools.
regression monitoring: operate, monitor, and analyze failures in the nightly regression system, providing methodical root-cause analysis across hardware, os, and software layers.