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For one of our customers Quality group is looking for an Automation Tests Analyst . The Automation Tests Analyst will be responsible for running automation tests on a daily basis, analyzing a massive number of automated tests results, and providing a clear status of the results.
This role requires high analysis skills and deep familiarity with the product main flows and the automation tests (written with Python).
In this role, the Automation Tests Analyst will work closely with several interfaces in the R & D groups such as the dev teams, Manual QA teams, Automation Infra, etc.
Our product is advanced endpoint security software - identifying an attacker's techniques before any malicious activity could successfully run, which enables us to prevent many types of cyber-attacks, including zero-day attacks.
Responsibilities
As a QA Automation Analyst , you will play a crucial role in ensuring the quality and reliability of our products before they reach our clients. Your responsibilities will include:
Conducting functional regression testing of a large number of tests, requiring a deep understanding of the product and its expected behavior, as well as a comprehensive understanding of the automation tests to effectively manage and interpret the extensive test suite
Deep analysis and bug reporting while working closely with dev teams
Running and maintaining automated tests on a daily basis
Analyzing a massive number of automated test results across various platforms, including Mac, Linux, Windows, and different cloud vendors
Conducting new cross-product and infrastructure projects
Providing tools and innovative ideas to enhance reporting and analysis capabilities using cutting-edge technologies such as BigQuery and in-house developed systems
Taking responsibility for production releases, serving as the final checkpoint before products are released to clients

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a CPU Workload Analysis Researcher within our company Cloud's MSCA organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the company Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

seeking a promising and talented DevOps Cloud 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 DevOps Engineer within a highly skilled team, responsible for large-scale operations from development to production.
Design, develop, and maintain Avanans CI/CD solutions, including operating systems, containers, cloud orchestration, and full end-to-end automation.
Implement tools and procedures for monitoring, deployment, and alerting across our SaaS multi-tenant product family.
Participate in the large-scale migration of a highly complex system into a secured, regulation-compliant environment.
Continuously improve our cloud infrastructure to ensure fault tolerance, scalability, and security.
Plan capacity, stabilize, and enhance the performance of application infrastructure with cost efficiency and scaling in mind.
Design and shape our monitoring and logging solutions.
Execute all tasks with top-notch cloud infrastructure security as a guiding principle.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Utilize performance and power models from the architecture team, as well as lab measurements, to validate and tune performance against established goals.
Design and build tests to verify that the SoC design meets those targets.
Develop and implement advanced technologies for running benchmark representations on pre-silicon environments.
Analyze problems, identify core design weaknesses, and drive the resolution of performance issues in both pre and post-silicon environments.
Develop performance measurement frameworks, including key performance indicators (KPIs), to produce regular reports and dashboards that support stakeholder decision-making.

This role combines a VP Engineering scope with founding engineer energy. You'll lead a commando team of exceptional engineers while staying hands-on with code.

Key Responsibilities
What You'll Do

Build and lead a team of 15 engineers across backend, blockchain, and AI/ML development
Drive technical strategy and product roadmap from concept to production
Partner with research teams to transform threat intelligence into prevention capabilities
Establish engineering excellence: architecture, code quality, deployment practices

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a CPU Design Verification Engineer, you will work as part of a Research and Development team building verification components, constrained-random testing, system testing, and verification closure. As part of our server chip design team, you will verify complex digital designs. You will collaborate with design and verification engineers in active projects and perform verification. You will be responsible for the full lifecycle of verification which can range from verification planning, test execution, or collecting and closing coverage.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of our companyplatforms, we make our company's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog or formally verify designs with SystemVerilog Assertions (SVA) and industry leading formal tools.
Identify and write all types of coverage measures for stimulus and corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Apply close coverage measures to identify verification holes and to show progress towards tape-out.

Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability. The AI and Infrastructure team is redefining whats possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Design, develop, and maintain CAD tools and scripts to automate and streamline design tasks, verification processes, and data analysis.
Administer and optimize the front-end compute environment, ensuring reliability, performance, and scalability.
Provide technical support and training to Design and Verification teams on the use of CAD tools, scripts, and the compute environment.
Identify opportunities to enhance front-end development workflows, implement improvements, and document best practices.
Work closely with design, verification, and CAD teams to understand their needs, gather requirements, and deliver effective solutions.

we are looking for a QA automation engineer.
Job Details
QA automation engineer for Radwares web-based cloud and management services. A team member participating in defining, designing, writing, executing and monitoring various test scenarios for various products.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As the Design for Test (DFT) Engineer Lead, you will play a crucial role in DFT Architecture and DFT design, and support devices to production. You will be responsible for providing technical leadership in DFT, developing flows, automation, and methodology, planning DFT activities, tracking the DFT quality throughout the project life-cycle, and providing sign-off DFT to tapeout.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Lead and execute DFT activities in the design, implementation, and verification solutions for Application-Specific Integrated Circuits (ASIC).
Develop DFT strategy and architecture, including hierarchical DFT, Memory Built-In Self Test (MBIST), and Automatic Test Pattern Generation (ATPG).
Work with other Engineering teams (e.g., Design, Verification, Physical Design) to ensure that DFT requirements are met and mutual dependencies are managed.
Manage a DFT team planning, deliverables, and provide technical mentoring and guidance.
Lead DFT execution of a silicon project, planning, execution, tracking, quality, and signoff.

As a Data Analytics Sales Specialist, you will help us grow our Data Analytics business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver true business value, pitch and demonstrate product functionality and provide a comprehensive overview of key business use cases. You will lead day-to-day relationships with cross-functional team members, serving as a solution lead within the sales organization. You will lead go-to-market strategies and sales plays, manage campaigns, and provide feedback to Product and Global Solutions Teams to inform our product solutions roadmap. You will shape customers' cloud and data analytics strategy and enable digital transformation. You will lead with empathy, while identifying innovative ways to multiply your impact and the impact of the team as a whole to drive the overall value for our company Cloud.our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Cultivate relationships with customers as a subject matter expert and trusted advisor, managing business cycles, identifying solution use cases, and influencing long-term direction of accounts.
Achieve or exceed quota and business and growth goals while forecasting and reporting your territorys business.
Collaborate with our company accounts and cross-functional teams (e.g. customer engineering, marketing, customer success, product, engineering, channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience.
Execute account plans, including a broader enterprise plan across key industries, focus on building accounts.
Manage multiple customers and opportunities simultaneously, understanding each customers technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies.

we are looking for a Manager, Engineering - Cloud Security.
Your Role:
Be the full tech owner of your teams products - lead code reviews, and help maintain a high level of code: Writing clean, high-quality, high-performance, maintainable code.
End-to-end professional responsibility over your teams Agile development life-cycle
Growing and mentoring your team members
Serve as a force multiplier for your team by identifying and implementing process improvements.
Hands-on approach - designing, coding, and delivering features to production
Writing clean, high-quality, high-performance, maintainable code
Collaborate in an environment involving various stakeholders within the company by planning, brainstorming, and sharing feedback.
Coordinate cross-functionally to ensure the project meets business objectives and compliance standards
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on the production

Deal Desk team is looking for a new member to join its staff. The team reviews large, complex, or discounted quotes to provide guidance and recommendations on deal pricing, discount structure, and contract terms, driving profitability in-line with strategic objectives.

Key Responsibilities
Review business cases in the NSP (Non-Standard Pricing) cycle and provide recommendations to decision makers
Act as a sales advocate and collaborate with internal teams to understand the specifics of each deal, support smarter decision-making, and suggest upsell opportunities when appropriate
Work cross-functionally with all departments that may have a direct impact on quoting requirements (Sales Operations, Finance, Order Management, etc.) to ensure audit and business guidelines are understood and followed and that all requirements are met
Encourage and challenge sales representatives to structure deals that maximize value and profitability for
Initiate ideas of improvements, educate the field and provide added value to business
Assist in streamlining key operational workflows to support efficient and sustainable growth
Flexibility in daily shifts, and extended shifts at the end of the quarter

our product team is looking for a product manager to help us build a cloud-native security product with state-of-the-art architecture and cutting-edge technology.
Your Opportunity:
Own product end to end through the entire software development life cycle
Prioritize critical aspects of our products (Cloud and on-prem) as required
Partner with sales, marketing, and other cross-functional stakeholders to identify, prioritize, develop, and deliver world-class cyber-exposure offerings
Quantify success metrics for the team and establish attainable goals
Communicate to executive leadership and provide visibility to team contributions
Partner horizontally and vertically across the company to ensure alignment on strategy, deliverables, execution, and messaging
Be an active participant in the execution of go-to-market, launch activities, and conferences
Responsible for driving the product strategy through influence,motivation, and relationships across the organization
May perform other duties and responsibilities that management may deem necessary from time to time