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A Senior AI/ML Engineer role on our Data team, sitting at the intersection of AI engineering, data science, and data platform. You'll build agentic, LLM-based systems that turn vast amounts of unstructured information into high-quality structured signals - powering our products and surfacing legal risk - owning each solution across the full lifecycle, from exploration to production. You'll work closely with data engineers, data scientists, product managers, and legal experts to turn ambiguous problems into scalable AI capabilities. This is a hands-on role for someone with strong engineering judgment, deep data/ML expertise, and a focus on reliability beyond the prototype stage.

What You'll Do

Design, build, deploy, and operate production AI systems: agentic, LLM-based extraction workflows and batch/online inference pipelines and owning them from exploration through deployment, monitoring, and iteration.
Define quality metrics and build evaluation datasets, testing processes, and feedback loops for ML and LLM systems; monitor accuracy, latency, cost, and data quality, and investigate and fix failures.
Explore large, complex datasets to surface useful features and patterns, and translate findings into production-grade implementations.
Partner with data engineers on ingestion, transformation, orchestration, and storage to deliver dependable data products.
Use AI-assisted coding tools (e.g., Claude) effectively while maintaining strong technical judgment and ownership of your systems.
Help shape engineering standards for production AI: testing, observability, reproducibility, data lineage, versioning, and safe deployment.

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.

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

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 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.

We are looking for a talented and motivated Software Engineer to join our SDK team, focusing on the development and enhancement of our SDKs web & mobile.

In this role, you will take part in designing, building, and maintaining a high-performance SDK that is integrated into customer applications, used by customers around the world.

You will work closely with other engineers, product managers, and solution teams to ensure high quality, maintainability, and performance of the SDK.

If you are passionate about web and mobile technologies and enjoy solving complex challenges, wed love to meet you.

What Youll Do:
Design and implement new features and improvements in our SDKs .
Ensure the SDK is robust, secure, and easy to integrate by third-party developers.
Collaborate with cross-functional teams, including data engineer, data scientist and backend engineers.
Maintain high code quality through code reviews, testing, and best practices.
Monitor and optimize SDK performance and resource usage.
Write clear technical documentation and integration guides.

About the Role
We are looking for an experienced, hands-on Software Team Leader to lead a team developing core components of our Network-as-a-Service platform.
Youll combine people leadership with deep technical involvement-shaping architecture, writing production code, developing engineers, and solving complex challenges across networking, cloud, performance, scale, and security.
This is an opportunity to take meaningful ownership within a fast-growing business, influence the technology at its foundation, and build systems used by millions of users and organizations worldwide.
What Youll Do
Lead, mentor, and develop a team of software engineers.
Drive the architecture and development of our core Network-as-a-Service components.
Stay hands-on through coding, technical design, and complex problem-solving.
Build high-performance, cloud-native networking services using technologies such as VPP, DPDK, and Kubernetes.
Promote engineering excellence while creating an environment where talented engineers can grow and do their best work.

we are seeking a promising and talented Senior DevFinOps Engineer to join our DevOps group. If you thrive in a fast-paced, dynamic environment, can handle multiple requests simultaneously, and enjoy working independently as part of a cutting-edge DevOps team, this is your opportunity to help make the world a safer place!
Key Responsibilities
Act as a DevFinOps Engineer within a highly skilled team, bridging engineering and finance to drive cloud cost efficiency across large-scale operations from development to production.
Design, develop, and maintain Avanan's cloud cost visibility, allocation, and optimization solutions - including tagging strategies, cost dashboards, budgets, and anomaly detection across accounts and services.
Implement tools and procedures for cost monitoring, forecasting, and alerting across our SaaS multi-tenant product family.
Embed FinOps practices into the CI/CD lifecycle - surfacing the cost impact of changes early, and enforcing cost guardrails as part of deployment automation.
build AI-based FinOps agents for cloud services at the infrastructure and application levels
Continuously identify and execute cost-optimization opportunities (right-sizing, reserved capacity/savings plans, spot usage, storage tiering, idle-resource cleanup) without compromising performance, reliability, or security.
Partner with engineering teams to drive cost accountability - providing unit-economics insight (cost per tenant/feature/service) and making cost a first-class engineering metric.
Plan capacity and model the financial impact of scaling decisions, balancing cost efficiency with fault tolerance and growth.
Design and shape our cost reporting, chargeback/showback, and budgeting solutions.
Execute all tasks with cloud infrastructure security and financial governance as guiding principles.

we are looking for a Senior AI Engineer (AI & Innovation).
In this role, you will:
Build Modular AI Capabilities: Design and implement self-contained "AI Skills" that connect to the Platforms core data layers.
Ship End-to-End Autonomous Agents: Build agents that don't just "think," but act. You will deploy agents that handle the heavy lifting of the security lifecycle.
Bridge the Gap to Non-Technical Users: Create the abstractions that allow our customer success teams and client stakeholders to trigger or chain these AI workflows.
Own the AI Infrastructure & Evaluation: Maintain and contribute to the environment where these agents are born, ensuring they are grounded in truth.

Key Responsibilities
We are looking for a QA Engineer to join our management group!
In this role, you will be responsible for conducting end-to-end testing of our company products within the teams scope.
Create complex virtual and physical environments to test our company products.
Run QA manual and automated test runs on varied environments and large scale setups.
Create test plans for new features; meet with R&D to learn the design, follow up on test requirements, and write tests to cover full feature functionality.
Provide reliable real-time status to your manager.

We are looking for a passionate and skilled QA Engineer to join our SD-WAN Team.
If you have a deep interest in Networking, cloud 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.
Key Responsibilities
Test design, test plan development, and step-by-step documentation for new and existing features.
Execute tests on both existing and in-development our company products and features.
High orientation to details and user experience.
Ability to plan and execute tests for complex features in a fast-paced environment.
Knowledge of tools, concepts, and methodologies of QA testing.
Self-learning capabilities of new products and technologies.
End-to-end ownership on bugs found, from documentation to fix validation.
Maintain a high level of quality according to the our company Quality Assurance standards.
Seek continuous education opportunities on new solutions, skills, and technologies to be incorporated in Q.A. testing.

We are looking for an Algorithms Developer to join the CTO Office and develop and evaluate new AI and algorithmic capabilities as part of early-stage R&D. The role combines hands-on algorithm development, rapid prototyping, and technical evaluation, from exploring new ideas and testing solutions to defining requirements for further development. Projects span areas such as image processing, computer vision, edge AI, LLM-based applications, and emerging technologies.
Responsibilities:

* Develop AI and algorithmic solutions for early-stage R&D projects.
* Translate project needs into algorithmic concepts, requirements, and technical solutions.
* Build and TEST prototypes to evaluate feasibility and performance.
* Define performance, interfaces, and computing requirements.
* Optimize solutions for compute, memory, power, and latency constraints.
* Evaluate relevant models, frameworks, hardware platforms, and emerging technologies.
* Translate R&D results into clear requirements and recommendations for development teams.
Advantages:

* Experience deploying AI or algorithms on edge or Embedded platforms.
* Experience with NVIDIA, CUDA, TensorRT, ONNX, or similar technologies.
* Experience optimizing algorithms for compute, memory, power, or latency.
* Experience with satellite imagery, remote sensing, geospatial applications, mapping, or photogrammetry.
* Experience with LLM-based applications and modern AI frameworks.
* Experience in R&D, advanced development, or deep-tech environments.