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.

In this role, you will be responsible for the architecture, technology, and the overseeing of implementation of the migration solutions to production. You will lead the technological side of all the solutions that are developed in multiple engineering teams around the world. You will understand customers migration and modernization issues working with customers and the field team and translate these into a viable technical solution leveraging our own first-party solutions as well as third-party/partners solutions. You will be working closely with the various stakeholders, customers, partners, sales, delivery, product and engineering teams.

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.

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 Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

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.

We are excited about both fundamental research and identifying and solving creative, new problems with potential to have big impact. Our team has a strong track record of publishing at vision and graphics venues, and transferring cutting edge research into products that reach users.

The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software productsfrom apps to TVs, from laptops to phonesthat have an impact on peoples lives across the world.

Responsibilities:
Develop cutting-edge visual media technologies, including diffusion models and transformers.

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
Lead the architecting, designing, developing, testing new features, as well as maintaining and improving the product.
Lead and develop features based on GenAI technology.
Contribute to the research, coding and testing efforts.
Help set the agenda for the product roadmap and technical direction.
Collaborate with teammates and across job functions (e.g., Product Managers, UX) as well as working with different teams developing other Migration Center components and services.

Be part of a 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.
In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the CPU, SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU 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
Design, develop, test, deploy, maintain, and improve CPU software modeling and other software tools.
Manage individual project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.

Microsoft Defender for Cloud (MDC), that is disrupting #CloudSecurity by building a solution for protecting multi-cloud workloads, including cloud security posture management (CSPM) that finds weak spots across cloud configuration, helps strengthen the overall security posture and identify risk, and Threat protection which identifies real time attacks and helps the SOC respond and mitigate.

And a major and disruptive, newly formed project, that aims to revolutionize Secure Posture Management and take -

cyber protection effectiveness to a new level, making a substantial difference across the Microsoft Defender Suite, through offering a Unified, complete and context rich, autonomous posture. As a member of our team, you'll get to work on an innovative product that's shaking up the cyber security market. This exciting security solution utilizes cutting-edge technology, big data, and machine learning to revolutionize the way security teams operate. 

Were a fast-moving, hands-on, resilient teams of software engineering, site reliability engineering (SRE), program management, security research, and data science working together to deliver products that offer protection, detection, and response to evolving cybersecurity threats across the globe!

We use state of the art cloud technologies and big data solutions at hyper scale and modern UX platform to deliver the highest value for our customers.
Responsibilities
As a Senior Software Engineer, you will have the incredible opportunity to work on business-critical initiatives that directly contribute to the future of Microsoft Security business. You must be deeply technical and be able to ramp up in new areas quickly since your responsibilities will span many areas of Microsoft Security products as well as all layers of the cloud technology stack. Excellent design and architecture skills, ability to grow top notch individual contributor dev talent along with proven capabilities in planning, designing and executing high quality feature work on schedule are all key expectations of the role.

We at Microsoft Defender for Cloud Apps (formerly MCAS) are developing the next generation of SaaS security tools for data that is outside your network, and firewalls and perimeters don't work. Our technology allows organizations to protect their data in SaaS apps from any location, device, or network.

Defender for Cloud Apps is the most used service for protecting SaaS apps used by enterprises worldwide. And it's all being developed here, in Israel.

Are you an excellent teammate, looking to work in a lively, dynamic environment, where you can contribute, learn, and influence? Are you passionate about developing state-of-the-art engineering systems? Join our team of engineers to develop cutting edge detection and remediation systems. Be a part of defining and shaping the next big leap in the product's journey and all that - in our Tel Aviv office!

Our team values diversity of all types in candidates for our roles and we strive to hire people with different experiences and perspectives into our team. To that end, we know that no candidate has every desired skill and experience, but all of us together makes our team strong
Responsibilities
As an engineer on our team, you will be working on cutting edge technologies to deliver exciting new features that impact and protect millions of users, with cross-team and cross-discipline collaboration. You will work closely with other engineers and be part of a fast-moving development team - and will have a role in mentoring your peers and helping them succeed, with your proven expertise in the platform/infra development domain. You will be expected to apply a critical view of our infrastructure, technologies and development process, proactively pushing to improve the product and engineering excellence. You will be part of a feature team that is onboarding to owning the infra side of things and will act as a subject matter expert within the team.

SuperSonic by Unity is seeking a highly skilled Senior Machine Learning Engineer to join our dynamic Data Department. In this role, you'll work with petabyte-scale data to design, develop, and deploy state-of-the-art machine learning pipelines and systems. You'll build robust ML infrastructure using AWS services and orchestrate processes with Apache Airflow. If you're a passionate problem solver with a commitment to excellence and thrive in a collaborative environment, SuperSonic by Unity offers a unique opportunity to make a significant impact. Here, your expertise will drive innovation and help shape the future of machine learning, all while working on groundbreaking projects at a massive scale.

What you'll be doing
End-to-End Project Ownership: Take charge of feature design from concept through to deployment, ensuring robust, scalable solutions in a complex and dynamic environment.
Pipeline & Infrastructure Development: Architect and implement advanced machine learning pipelines that efficiently manage and process massive data volumes.
Collaboration & Teamwork: Embrace a team-first mindset"there is no I in team"actively supporting your peers while continuously learning and striving for excellence.
Problem Solving: Utilize your analytical skills to navigate technical challenges and deliver high-quality results on schedule, all while taking full ownership of your projects.

Why Join Us?
Join our AI & Innovation group as an AI Engineer and play a key role in shaping the future of AI-driven security solutions. You'll work with a team of open-minded, ambitious individuals who thrive on collaboration, continuous learning, and delivering real-world impact.

Our group is building an ambitious, AI-powered product at the heart of Check Points strategic vision combining cutting-edge AI technologies with world-class cybersecurity expertise. This role offers a unique blend of deep technical challenges, hands-on development, and meaningful product impact. Youll have access to some of the best cybersecurity data sources available, working in a fast-paced, innovation-driven environment that combines the agility of a startup with the stability of a global leader.

If you're passionate about building state-of-the-art systems, solving complex engineering problems, and working with a great team to deliver real impact wed love to hear from you.

Key Responsibilities
Design, architect, and implement a complex AI-powered security product
Develop and optimize scalable, reliable, and high-performance data pipelines, APIs, and cloud services
Integrate AI models and in-house agents into a robust production systems
Collaborate closely with cross-functional teams, including data scientists, software engineers, and product teams, to drive innovation from concept to deployment

ironSource from Unity, a cutting-edge large-scale ad network, is seeking a highly skilled and experienced Senior Software Engineer to join our backend team. The ideal candidate will have a strong background in distributed systems, data engineering and software engineering, and will be responsible for leading the design, development, and deployment of top quality data pipelines, data lake and an ML feature platform.
What you'll be doing
System Design and Architecture: Develop and maintain robust, scalable, and efficient distributed systems and data pipelines to help build the new generation of ironSource's ML feature platform.
Research and Innovation: Stay current with the latest advancements in machine learning data pipelines, feature stores, and apply innovative techniques to improve data aggregations, monitoring, cleaning & filtering and preparing for ML training.
Cross-Functional Collaboration: Work closely with data scientists, software engineers and product managers to build the data lakes and data pipelines.