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we are looking for an experienced Data Scientist to join us and take a key role in turning large-scale, real-world data into smarter product and business decisions.With millions of users interacting with mobility services, our data reflects complex customer behavior, business models, and real-life mobility patterns.We're looking for someone who can go beyond building models - someone who knows how to identify the right problems, challenge assumptions, uncover opportunities in the data, and translate them into real business impact.
You'll have significant professional ownership, from taking an ambiguous business question and framing it as a statistical or Machine Learning problem, through choosing the right methodology, building and evaluating the solution, and bringing it to production.Just as importantly, we expect you to proactively identify questions that should be answered with data - even when nobody has asked them yet.
Responsibilities:
Own Data Science problems end-to-end - from business question and hypothesis to modeling, evaluation, and production.
Partner closely with Product, Business, Data, and Engineering teams to translate complex business challenges into data-driven solutions.
Proactively identify opportunities where statistical analysis, Machine Learning, and AI can improve our products, customer experience, and business performance.
Build, train, evaluate, and improve Machine Learning models used in production, across both real-time and batch use cases.
Select the right statistical or ML approach based on the problem and the data - including recognizing when a simple analytical solution is better than a complex model.
Define meaningful evaluation methodologies and connect model performance to real business impact.
Communicate complex statistical findings clearly to both technical and non-technical stakeholders.

we are looking for an Engineering Team Lead to join our Growth Team and lead the development of some of our most impactful customer-facing platforms, serving millions of users across Israel. The team owns strategic key business domains, including subscriptions, benefits, and loyalty programs, driving products that directly impact customer engagement and company growth.
Join us to lead large-scale engineering challenges, shape the future of platform, and make a real impact on products used by millions of customers every day.
Responsibilities
Lead, mentor, and grow a talented team of software engineers, both local and offshore, while building a strong, high-performing engineering culture.
Own the teams execution, delivery, and technical direction, turning ambitious growth opportunities into scalable, high-impact solutions.
Serve as a hands-on technical leader who actively contributes to the codebase, conducts code reviews, and leads development end-to-end - from architecture and design through production.
Play a key role in shaping growth by developing new products, features, and technological capabilities that directly impact millions of users.
Lead cross-functional initiatives and work closely with Product, Data, and Business stakeholders to translate business goals into effective technical solutions.
Design, build, and operate scalable, highly available production systems that support rapid business growth and an evolving product ecosystem.
Foster a culture of ownership, collaboration, innovation, and engineering excellence.
Lead the teams AI development cycle, identifying opportunities to embed AI into products and engineering processes while promoting modern development practices.

we are seeking for an Senior AI software engineer. This role requires As part of the role, you will be responsible for developing end-to-end AI/GenAI systems based on LLMs, building and maintaining robust data, model, and inference pipelines, including the design of scalable embedding systems and RAG architectures. The role also includes designing cloud-native architectures with auto-scaling capabilities, supporting both dedicated AI applications and shared internal development platforms. You will be responsible for seamlessly integrating corporate governance, compliance controls, and information security solutions into the AI ecosystem, while ensuring that all systems meet strict banking industry standards and requirements. Full-time position, Sunday-Thursday, based in Lod, Israel.

We are looking for a Platform and DevOps Team Lead. The team owns AWS organization and production environment. You will guide the next stage of our platform by expanding developer self-service, growing the AI Portal, and delivering valuable AI capabilities across .
***The role is open to experienced Team Leads and accomplished Tech Leads ready to move into people leadership. The balance between leadership and hands-on contribution will reflect the role's priorities and your experience.
Responsibilities:
Lead, coach, and develop the Platform and DevOps team.
Own AWS organization and drive its architecture, reliability, security, governance, and operational excellence.
Build a focused roadmap for cloud infrastructure, CI/CD, observability, automation, and developer self-service.
Grow the AI Portal and advance AI-enabled capabilities across engineering and the wider organization.
Partner with multiple R&D teams and lead delivery with our external engineering and cloud partner.

We are looking for an SDR to join our Expansion team in Tel Aviv. The role includes identifying potential businesses, creating initial contact, opening doors, and scheduling high-quality meetings for the sales team. This is a dynamic role that combines phone outreach and business research. It is a great fit for someone who loves sales, knows how to create good conversations, is not afraid of targets, and wants to grow in the world of Business Development and Sales.

What Will You Do
Identify and map relevant businesses in Tel Aviv by area, category, and business type.
Reach out to restaurants, markets, cafés, and local businesses.
Understand the business needs of potential partners and present our initial value proposition.
Schedule high-quality meetings for the sales team.
Manage and track leads in the CRM system.
Work closely with the sales team.
Update lead status, business potential, and future opportunities on an ongoing basis.
Meet weekly and monthly targets for calls, scheduled meetings, and qualified leads.

we are seeking a motivated and results-driven Sales Development Representative (SDR) to join our dynamic team in the USA. In this role, you will be instrumental in driving growth by identifying and developing new business opportunities, qualifying leads, and setting appointments for our sales team. As an SDR, you will utilize your excellent communication and interpersonal skills to build relationships with potential clients and contribute to the overall success of innovative solutions.
Responsibilities:
Identify and research potential leads through various channels, including social media, online platforms, and networking events.
Qualify leads by conducting initial outreach via phone calls, emails, and social media to assess their needs and interests.
Schedule meetings for the sales team with qualified leads to drive the sales process forward.
Maintain accurate records of lead interactions and sales activities in the CRM system.
Collaborate with the sales and marketing teams to develop effective outreach strategies.
Meet and exceed monthly and quarterly lead generation targets.
Provide feedback to improve the sales process and lead generation strategies.

Required Algorithm Engineer (RTB)
As an Algorithm Engineer on the Algorithms team in our Tel Aviv office, youll play a vital role in building machine learning models that power real-time bidding and optimize billions of daily auctions. Youll design and evolve large-scale ML solutions that drive bid optimization, price prediction, win-rate prediction, and auction strategy. Working at the intersection of machine learning, data, and engineering, youll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.
How youll make an impact:
Design, train, and deploy machine learning models for bid optimization, price prediction, win-rate prediction, CTR/CVR estimation, calibration, and auction optimization.
Own the full machine learning lifecycle, from research and prototyping through production deployment, A/B testing, monitoring, and optimization.
Build and evolve large-scale ML models serving low-latency, high-throughput production traffic.
Analyze auction and marketplace data to identify modeling opportunities and translate insights into measurable business impact.
Partner with Product, Engineering, and Business teams to translate marketplace goals into scalable machine learning solutions.
Mentor junior engineers and contribute to technical design reviews, code reviews, and deep technical investigations.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. As the leader of the Remote Support organization, you will be responsible for driving operational excellence across the teams, ensuring best practice procedures and highest standard of technical disciplines. You will collaborate effectively with other functions across the Development, Level 3 (L3) Support, Customer Support, Mechanical Engineering, and Account Technical Advisers. You will balance short-term execution and escalation management with long-term organizational development, process optimization, and continuous improvement initiatives.

Responsibilities:
- Lead and develop multiple global technical teams through their GEO Team Leads/Manager.
- Drive operational excellence, technical disciplines, process improvements, and global alignment.
- Partner with R&D, Product, Mechanical Engineering, and Customer-facing teams to improve customer outcomes.
- Collaborate with a variety of teams and interests (Senior Support Team, Technical Advisers, Global Operations)
- Ensure high levels of customer satisfaction and service delivery.
- Provide leadership, coaching, and strategic direction to Managers/Team Leads and senior technical contributors.
- Prioritize resources and initiatives to maximize business impact
- Contribute to maintaining and improving internal knowledge base and procedures
- Engage with L3 to solve field issues, known best practices and procedure updates
- Actively participate in projects as assigned, in order to achieve department and Company goals
- Travel domestically or internationally as required

Required Experienced Full Stack Engineer
As a Fullstack Engineer on the Demand R&D team in our Tel Aviv office, youll play a vital role in building our flagship recommendation products, from the backend services that decide which recommendations to serve to the ad formats and widgets that render them on publisher pages for billions of users.
Youll build features end-to-end across the stack, develop innovative ad formats and high-scale backend services, and use big data and performance metrics to make engineering decisions that impact users, publishers, advertisers, and business performance.
How youll make an impact:
Build features end-to-end: design and develop backend services alongside the client-side code that consumes them, and own them through testing, deployment, monitoring and maintenance
Work on our recommendations ad formats serving and user experience - the backbone of the companys products, standing at the intersection of end-users, publishers and advertisers
Develop and maintain a variety of new & innovative ad formats that reach billions of users and are used by thousands of advertisers (carousel, app install, video ads and many more)
Develop high-scale backend services that serve billions of requests a day, with real emphasis on performance, resilience and observability
Make professional decisions based on big data and performance metrics of billions of users, while putting emphasis on business & page performance KPIs
Build AI agents, skills and workflows that multiply the teams capabilities - automated code reviews, data analysis, production anomaly investigation, feature validation and debugging
Collaborate with the Product, Data and UX teams throughout the company to iterate on the design and implementation of our product
Our tech stack
AI: Claude Code, Codex, Cursor
Backend: Java, Spring, Kafka, MySQL, Cassandra, BigQuery, Kubernetes, Docker, Grafana
Frontend: JavaScript, TypeScript, React, HTML, CSS, Jest, Playwright.

Key Responsibilities
We are looking for a passionate Software Developer to join our WAF SaaS Platform team, where we build, evolve, and operate our companys cloud-native WAF SaaS product.
In this role, you will develop new SaaS product capabilities while also building and operating the cloud infrastructure that powers the platform. You will work across backend services, Kubernetes environments, automation, CI/CD, monitoring, and, when needed, frontend components.
We are looking for a strong team player with a high sense of ownership, a get-things-done mindset, and the willingness to contribute across all areas of development - from UI and backend to DevOps and cloud infrastructure.
Major Responsibilities
Develop new features and capabilities for our companys WAF SaaS product, with a focus on backend services, cloud infrastructure, and DevOps-oriented development
Design, build, and maintain cloud-native infrastructure that supports customer environments, production workloads, and global SaaS deployments
Take part in creating and operating new POPs, improving customer environment provisioning, and evolving the platforms scalability and availability
Develop SaaS product capabilities such as certificate management, CDN-related flows, DDoS-related capabilities, onboarding flows, and other customer-facing platform features
Work with cloud services, CI/CD pipelines, monitoring, logging, and automation tools
Take end-to-end ownership of features and infrastructure components, from design and implementation through deployment, observability, support, and production operation
Build and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisions
Collaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholders
Support production environments, investigate customer issues, and understand the real-world impact of features, bugs, and infrastructure changes.

We're hiring an experienced DevOps Engineer to join our engineering team. This role suits someone who has already spent real time operating cloud-native infrastructure at scale - not someone looking to break into the field. You'll bring a GitOps mindset, hands-on Kubernetes depth, and the independence to research and learn new tools quickly in a fast-moving, large-scale environment.
Design, operate, and troubleshoot Kubernetes clusters (EKS/AKS) at scale
Manage application delivery and infrastructure using GitOps tools (ArgoCD/Flux)
Build and maintain Helm charts and Kustomize overlays for multi-environment deployments
Provision and manage cloud infrastructure using Crossplane
Own and optimize CI/CD pipelines (GitHub Actions, GitLab CI) for build, test, and deployment workflows
Maintain and extend observability stacks, including Prometheus, Grafana, alerting rules, and dashboards
Write automation scripts and tooling in Python, Go, or Bash to streamline operations
Develop internal developer portals, AI agents, and other engineering productivity tools
Support AWS infrastructure across multiple accounts and regions, including networking, IAM, compute, and storage services
Participate in on-call rotations, troubleshoot production incidents, and drive root-cause analysis
Collaborate with Platform, Security, and Application Engineering teams on infrastructure design and reliability improvements.

We are seeking a strategic and visionary Group Manager to lead the operetion group for a key product under our companys security platforms.
In this role, you will get the opportunity to manage deliveries and products to strategic customers and escort challanging technology projects from design stage to large scale deployment.
Key Responsibilities
Strategic Leadership
Manage the delivery process from design, through development, Early Availability to rollout in production
Define and drive the quality vision, strategy, and roadmap for the products including Automation, Quality Assurance and Customers' focus team, aligning with engineering and business goals.
Organizational Management
Manage a group of 20 people, focusing on talent growth, performance, and collaboration across teams.
Lead and mentor an engineering group consisting of 3-4 specialized teams
Cross-Organizational Impact
Leadership, Collaboration, and Project Management
Proven ability to lead and manage cross-functional teams, fostering collaboration across engineering, product, security, and support functions.
Ability to influence and align stakeholders across teams and drive consensus on technical and strategic decisions.

We are looking for a passionate and skilled QA Engineer to join our Scalable Platforms Core.
If you have a deep interest in Networking and Security and thrive on tackling high-end networking challenges with a proactive mindset, we invite you to be part of our innovative and collaborative team.
Major Responsibilities
High-end products testing
Lead a testing cycles end to end
Understand complex customer environments
Get experience with QA testing, and have a great opportunity to grow and create impact.
Adapt and take on more responsibilities and own your share of the product
Engage in Automation procedures.

We are looking for a proactive and skilled Software Infrastructure Developer with a strong Agentic AI focus to join our team. In this role, you will design and build the infrastructure, tooling, and AI-powered automation that keep our engineering systems reliable, scalable, and intelligent.

You will be responsible for embedding GenAI and agentic capabilities into our internal developer platforms and CI/CD workflows - creating frameworks, libraries, and multi-agent systems that accelerate automation, improve system stability, and unlock new levels of engineering productivity. This is a hands-on role for someone who thrives at the intersection of infrastructure engineering and applied AI.

The ideal candidate brings deep technical expertise in Python (FastAPI) and/or TypeScript, Kubernetes, CI/CD (Jenkins, GitHub Actions), containerization, and cloud infrastructure - combined with hands-on experience building LLM-powered applications, agents, MCP servers, and RAG pipelines.

What you'll be doing:
AI Platform Development: Design and build internal AI platforms, reusable SDKs, libraries, tools, and MCP servers for agentic applications.
Agentic Workflow Development: Develop single- and multi-agent workflows covering planning, tool selection, delegation, state and memory management, execution, retries, fallbacks, error recovery, and human-in-the-loop approval.
AI-Powered Infrastructure & CI/CD: Integrate AI capabilities into Kubernetes infrastructure and Jenkins/GitHub Actions pipelines to improve development, testing, deployment, and operational workflows.
AI Observability & Evaluation: Implement agent tracing, prompt and tool-call logging, latency and error monitoring, token and cost tracking, regression testing, and failure analysis.
AI Security & Governance: Apply guardrails, access controls, auditability, and governance practices to ensure agents operate safely and reliably.
End-to-End Platform Ownership: Own AI platform capabilities from architecture through production and build reusable solutions that accelerate adoption across engineering teams.
Cross-Functional Collaboration: Collaborate with engineering and business teams to identify high-impact AI opportunities and translate them into scalable technical solutions.
AI Research & Innovation: Evaluate emerging AI frameworks, models, and cloud technologies and promote their adoption where they provide measurable value.