דרושים » פיתוח תוכנה » Database Architect

Check Point is looking for a promising and brilliant Hands-on Cloud Development Team Leader for Avanan!

As a cloud development team leader, You will develop hands-on and be in-charge of developing software serving large-scale high velocity systems.
Affecting thousands of organizations, and millions of end-users, analysing billions of messages.
The domain you will tackle will involve cutting-edge cybersecurity cloud solutions, like phishing, impersonation, anomaly detection, and more.
Alongside with large-scale multi-threaded processing in a rich AWS microservices mesh multi-region architecture.
All solutions are implemented with the latest AWS tools and managed services such as Aurora RDS, Athena, Kinesis, Kafka, SQS, Elastic Search, ElasticCache, DynamoDB, Neptune and many more.

You will be responsible for designing, implementing, and managing robust and cost-effective email security solutions, protecting from email threats, data breaches, and phishing attacks.
You will collaborate closely with cross-functional teams, including IT security, cost and financing, Dev-ops, and various development teams within the group and within Check Point to ensure the highest level of email security and integrity.
You will manage recruit and mentor developers from all levels, either on site or remote contractors.

Key Responsibilities
Review and develop online mass scale cloud security processing and security infrastructure.
Architect, design, configure and maintain infrastructure, including secure email gateways, mail servers, email filters, authentication mechanisms and encryption.
Ensure the seamless integration of email security solutions with existing systems and applications.
Manage cost, cost monitoring and cost reduction efforts on AWS cloud implementation, and newly created services and tools.
Manage internal and external Security, Threat Assessment and Vulnerability Management: Continuously monitor and react to new vulnerabilities as reported.
Assure Collaboration, Mentoring and Training: Collaborate with cross-functional teams, such as IT, legal, and compliance, to ensure requirements are met.
Recruit and Provide technical training and mentoring to educate employees on security, development and cloud systems implementation best practices.
Follow industry Trends and updates: Stay tuned for emerging security changes and technologies, industry trends, and best practices.
Alongside changes Microsoft and Google introduce to collaboration SaaS services ensuring all systems remain compliant and relevant.

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

In this role, you will work with internal system teams and the System-on-Chip (SoC) Architecture team to develop an understanding of the SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model SoC performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.

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 Google platforms, we make Google'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
Develop simulators and architectural models of general-compute SoCs.
Collaborate with system architects, SoC and IP architects/designers, and software and application experts to understand current and future requirements.
Participate in architectural and design evaluation of SoC designs.
Perform pre-silicon performance simulation and correlate with post-silicon measurements.
Communicate analysis results qualitatively and quantitatively.

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

In this role, you will take part in CPU development, leading the CPU architecture and microarchitecture definitions. You will collaborate with software and hardware architects, design, verification, and physical implementation teams. You will influence the building of processor performance analysis infrastructure with modeling, emulation, and silicon measurement and drive power and performance optimizations for our specific customers workloads.
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 Google platforms, we make Google'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
Lead architectural definition of CPU core designs, facilitate and make final decisions.
Participate in and influence the building of processor performance analysis infrastructure.
Influence the development of architectural models with varying configurations across product categories.
Perform Performance, Power, Area (PPA) trade-off analysis for architecture and microarchitecture features, communicate analysis results in both qualitative and quantitative fashion to support decisions.

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

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 Google platforms, we make Google'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
Develop and implement physics-based statistical Quality and Reliability models (ELF, TDDB, NBTI, HCI, Time zero failures, etc.) to predict silicon device failure mechanisms, degradation patterns, and lifetime behaviors.
Collaborate with cross-functional teams to develop product Design-for-Reliability resilience based on product mission profile, technology node guidelines, modeling and analysis findings (e.g., SER, EMIR, PERC, HVDRC, Aging, etc.).
Extract, manipulate, and analyze large volumes of data from Silicon and Package qualification programs (e.g., HTOL, ELFR, ESD, LU, UHAST, TCT, etc.), High Volume MFG, and field returns to identify failure mechanisms, reliability trends, and opportunities for yield and quality and reliability improvement.

As a Cloud Solution Architect aligned to the Azure AI platform for Microsoft's Customer Experience & Success (CE&S) organization, you will enable customers to achieve their outcomes based on their investments in Microsoft technology. Leveraging your Microsoft Azure Artificial Intelligence (AI) and Machine Learning (ML) technical subject matter expertise, you will lead technical conversations with customers and Microsoft colleagues, driving value to their organization. This is a hands-on role that includes accelerating customer adoption by building Generative AI solutions and identifying resolutions to unblock customer success projects. You will also drive product influence with Engineering through technical feedback and increase technical intensity with the Field teams. This opportunity will allow you to accelerate your career growth, honing your technical and collaboration skills, and deepening your cloud expertise.

The Microsoft Customer Experience & Success (CE&S) organization is responsible for the strategy, design, and implementation of Microsofts end-to-end customer experience. Come join CE&S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide differentiated and connected customer experience.

Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond
Accelerate new customer opportunities from Proof of Concept (PoC) to Production for Azure AI workloads such as Azure OpenAI, Azure Cognitive Search, and Azure Machine Learning
Provide customers with Generative AI expertise and advisory through architecture designs, proof of concepts, production reviews, and post-sales support.
Expand and grow Azure AI adoption for existing customer base.
Lead and provide guidance in technical escalations to unblock AI customers in collaboration with Microsoft stakeholders.
Provide expert perspective to key stakeholders to increase platform adoption through customer insights & feedback on a regular basis.
Drive product improvement and influence roadmap with Engineering through deep technical insights.
Increase AI technical intensity in the field through upskilling, sharing best practices, and scaling repeatable IP

Our team is looking for a high performance Solutions Architect with an entrepreneurial mindset. As a Solutions Architect, you will lead the advertising industry by enabling clients to realize the full potential of Meta's marketing solutions and even defining new solutions. You will work with marketing executives at top-tier companies on their industry-leading advertising initiatives, translating their business goals into an execution plan using Metas suite of cutting-edge advertising platform. This role will allow you to apply your passion for problem solving to achieving real-world marketing results at Meta scale.
Solutions Architect Responsibilities
Act as a technical consultant and subject matter expert on Meta's marketing technology solutions for the marketing organizations at some of the most innovative companies in the world
Guide our clients to the most optimal implementations by walking them through the technical details Meta's advertising platform and products
Work closely with sales teams to unlock and develop new opportunities by developing a deep understanding on business goals and industry trends
Influence the marketing industry through technology by participating in industry conferences and presenting to executive-level audience
Understand and apply knowledge of products, technologies and business to build solutions to solve for problems at scale
Independently break down coding projects into tasks and partner with all applicable teams and partners to meet pre-established goals
Build relationships with team members and cross functional partners
document and share project updates and insights
influence decision-making through presentation of data-centric business topics
Participate in interviewing and on-boarding of new team members
Willingness to travel 25% of the time

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.

Were looking for a Data Architect to help our Data Engineering and Data Science teams become more productive, define and lead POCs of data processing, ML and LLM technologies, improve our Data Lake and optimize our data serving platform.

This role will report to VP R&D.

Why is this role so important at Similarweb?

Our R&D team transforms petabytes of data into digital insights for our customers, on a daily basis. This means that we are always on the lookout for new ways to make those processes more efficient, reliable, and scalable.

We are looking for a Data Architect to define the optimal way of processing data, developing new algorithms, and sharing data between different R&D departments and with our customers.

You will impact the work of hundreds of engineers and data scientists in Similarweb, by defining and implementing most suitable ways of data processing and influence our customers by providing top notch infrastructure for a flawless data delivery.

So, what will you be doing all day?

Your role as Data Architect means your daily responsibilities may include:

Define and implement standards and best practices for data engineering teams
Lead improvements to our data processing infrastructure
Research, POC and implement new data technologies
Improve our Data Lake
Mentor data processing and data delivery teams

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities
Provide technical leadership on high-impact projects.
Influence and coach a distributed team of engineers.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
Manage project priorities, deadlines, and deliverables.
Design, develop, test, deploy, maintain, and enhance large-scale software solutions.