דרושים » בוגרי יחידות טכנולוגיות/אקדמיה » מנתח.ת מערכות + COBOL

Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google'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 CAD Front- End Engineer, you will plan and execute work in an innovative and fast-paced environment, with a focus on infrastructure that enables Design and Verification teams to produce the chips that power Google's computing needs. You will be part of the Chip Infrastructure team responsible for compute, storage, common chip design components, and front-end tool flows.

In this role, you will work with architects, logic designers, and verification engineers to develop flows to build and verify SoC chip designs. You will also work closely with software, physical design, silicon bring-up and validation teams to enable a successful software integration, implementation, silicon bringup and deliver quality silicon.
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
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.

Why Join Us?
We are looking for a Data Engineer. This role is ideal for an experienced and proactive Data Engineer with experience in data pipelines who is passionate about building high-quality software, in a micro-service architecture, and can handle high-scale usage.

This job is located in Tel Aviv (Hybrid).

About Us
Check Point is a key player in the network security field, striving to provide the leading SASE platform in the market.

Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the cloud and remote work era.

Key Responsibilities
End-to-end development of new features which include different components/services (research, design, development, testing, rollout, monitoring).
Own the products data pipelines - maintenance, improvements, cost, and schema.
Full ownership of the data architecture, lifecycle, and pipelines from our producers, throughout the warehouse, to our web application.
Collaborate with Designers, Product Managers, and Software Engineers to deliver the best product to our customer.

We are looking for a talented Data Engineer to join our development team in the big data platform group.

You will support our data scientists on data initiatives, expand our data, and optimize our data pipeline architecture. You must be self-directed and comfortable supporting the data needs of multiple systems and products. The right candidate is excited by the prospect of building the data architecture for the next generation of products and data initiatives.

This is a unique opportunity for you to be a member of a team full of outstanding people making a big impact on Check Point. We work on multiple products in many domains to deliver truly innovative solutions in the Cyber Security and Big Data realm.

Key Responsibilities
Maintain and develop Enterprise grade Data Lake and Data Warehouse environments
Create data infrastructure for various R&D groups across the organization that will assist them in building and optimizing our products into an innovative industry leader.
Work with Data Experts to assist with data-related technical issues and support their data infrastructure needs.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources on top of Azure cloud.
Create and maintain optimal data pipeline architecture

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
Manage customer problem through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Cloud Platform products, specifically Networking on Google Cloud Platform (GCP).
Act as a consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
Work as part of a team of engineers/consultants that globally ensure 24 hour customer support. Work non-standard work hours or shifts as needed.
Understand customer issues and advocate for their needs with cross-functional teams, including product and engineering teams to find ways to improve the product, and drive high-quality production.
Develop an understanding of Google's product technology and underlying architectures by troubleshooting and reproducing.