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Google Israel

    דרושים Google Israel

    המשרות שלנו (34)
    תחום עיסוק
    חומרה / תוכנה
    כמות עובדים
    מעל 100
    שנת הקמה
    1998

    עוד עלינו

    משרות Google Israel

    הצעות עבודה
    מתוך 4
    נמצאו 34 משרות
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    מודים לך שלקחת חלק בשיפור התוכן שלנו :)
    Location: Haifa and Merkaz
    Job Type: Full Time
    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.
    The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

    Responsibilities
    Develop and execute comprehensive validation plans for Google's custom silicon, covering functional, performance, power, and reliability aspects.
    Design and build scalable validation test infrastructure, including hardware setups, software frameworks, and automation tools on Emulation and/or FPGA platforms.
    Lead the debugging and resolution of complex silicon issues, collaborating with cross-functional teams such as design, architecture, software, and firmware.
    Analyze validation data to identify trends, root causes, and opportunities for improvement in silicon quality and reliability.
    Build and mentor a high-performing team of silicon validation engineers, fostering a culture of collaboration, innovation, and technical excellence.
    Requirements:
    Minimum qualifications:
    Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
    8 years of experience in silicon validation or a related field.
    Experience in leading technical teams and build cross-functional relationships.
    Experience in silicon validation methodologies, tools, and techniques, including hardware setups, and automation tools on Emulation or FPGA platforms.

    Preferred qualifications:
    Experience with Field-Programmable Gate Array (FPGA) prototyping, Hardware Emulation (ZeBu Server, Palladium, Veloce), or simulation platforms.
    Knowledge of cloud computing technologies and architectures, including data centers, networking, and storage.
    Familiarity with hardware description languages (e.g., Verilog, VHDL) and hardware verification methodologies (e.g., UVM, SystemVerilog).
    Excellent communication skills, with the ability to convey technical concepts to audiences.
    .המשרה מיועדת לנשים ולגברים כאחד
     
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    הגשת מועמדות
    עדכון קורות החיים לפני שליחה
    107778
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    דיווח על תוכן לא הולם או מפלה
    מה השם שלך?
    תיאור
    שליחה
    תודה על שיתוף הפעולה
    מודים לך שלקחת חלק בשיפור התוכן שלנו :)
    Location: Merkaz
    Job Type: Full Time
    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
    Write 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.
    Requirements:
    Minimum qualifications:
    Bachelors degree or equivalent practical experience.
    Candidates will typically have 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
    Typically 2 years of experience with data structures or algorithms in either an academic or industry setting.
    Typically 2 years of experience with front-end frameworks, full-stack development, or API development.

    Preferred qualifications:
    Master's degree or PhD in Computer Science or related technical field.
    Experience developing accessible technologies.
    .המשרה מיועדת לנשים ולגברים כאחד
     
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    עדכון קורות החיים לפני שליחה
    107798
    שירות זה פתוח ללקוחות VIP בלבד
    דיווח על תוכן לא הולם או מפלה
    מה השם שלך?
    תיאור
    שליחה
    תודה על שיתוף הפעולה
    מודים לך שלקחת חלק בשיפור התוכן שלנו :)
    Location: Haifa and Merkaz
    Job Type: Full Time
    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.
    As a CPU Frontend Design Engineer, you will take part in central processing unit (CPU) development, a complex and critical blocks of Googles sever System on a Chip (SoC). You will be responsible for microarchitecture and RTL design and implementation of core technology as part of Googles data center SoC products. You'll collaborate closely with architecture, verification, and physical design engineers, creating micro-architectural definitions with RTL coding and running block level simulations.

    The ML, Systems & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

    Responsibilities
    Define architecture and micro-architecture features, write specifications, and understand implementation tradeoffs (e.g., performance, power, frequency, etc.).
    Define the CPU block level design document (e.g., interface protocol, block diagrams, transaction level flow, control registers, pipelines, etc.).
    Perform RTL development process (e.g., coding and debug in Verilog, SystemVerilog, or VHDL), function/performance simulation debug, and Lint/CDC/FeV/PowerIntent checks.
    Contribute to the SoC level integration, and participate in synthesis, timing/power closure, and silicon bring-up.
    Participate in test plan and coverage analysis of the block and SoC-level verification.
    Requirements:
    Minimum qualifications:
    Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.
    Experience in full VLSI design cycle.
    Experience in RTL implementation of low power designs.
    Experience in VLSI development with Verilog, SystemVerilog, System Verilog Assertions (SVA), or VHDL, and with design verification, synthesis, timing/power analysis, and DFT.

    Preferred qualifications:
    Experience in four or more SoC cycles.
    Knowledge of modern high-performance CPU architecture and micro-architecture.
    .המשרה מיועדת לנשים ולגברים כאחד
     
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    הגשת מועמדות
    עדכון קורות החיים לפני שליחה
    107775
    שירות זה פתוח ללקוחות VIP בלבד
    דיווח על תוכן לא הולם או מפלה
    מה השם שלך?
    תיאור
    שליחה
    תודה על שיתוף הפעולה
    מודים לך שלקחת חלק בשיפור התוכן שלנו :)
    Location: Haifa and Merkaz
    Job Type: Full Time
    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.
    As a System on a Chip (SoC) Power Engineer in Google Cloud, you will be part of the server chip design team. You will work on Power related flows across the chip development end to end. You will have the opportunity to impact the Google Cloud Infrastructure, combine the latest innovations in algorithms and integrate circuits to create CPU SoC solutions for Google Cloud. You will partner with hardware, software, and data center controls teams to provide silicon and technology roadmaps.

    The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
    Responsibilities
    Develop methodology of SoC roll up of power reduction, projection, configuration, test plan and tools.
    Work intact with Architecture, Frontend and Backend teams driving power reduction features (both logic and circuit).
    Manage power delivery and packaging teams with simulations and scenario definitions.
    Work intact with Architecture and DV to define power scenarios and tests, debug, and integrate into the flow.
    Track whether power goals are met throughout execution.
    Requirements:
    Minimum qualifications:
    Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
    8 years of experience with power modeling, power delivery, and power distribution network/design.
    Experience in power estimation and optimization flows and tools.
    Experience with Vector based Physical Design Power Tools (e.g. PTPX Prime power).

    Preferred qualifications:
    Experience with power optimization techniques (multi Vth/power/voltage domain design, clock gating, power gating, DVFS/AVS, etc.) and power management.
    Experience with scripting languages (i.e., Python, Perl, TCL or Bash).
    Knowledge of the impact of software and architectural design decisions on power and thermal behavior of the system (thermal mitigation and scheduling, cross-layer policy design).
    Knowledge of system software components (i.e., Linux, drivers, runtime performance analysis, etc.).
    .המשרה מיועדת לנשים ולגברים כאחד
     
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    עדכון קורות החיים לפני שליחה
    107781
    שירות זה פתוח ללקוחות VIP בלבד
    דיווח על תוכן לא הולם או מפלה
    מה השם שלך?
    תיאור
    שליחה
    תודה על שיתוף הפעולה
    מודים לך שלקחת חלק בשיפור התוכן שלנו :)
    Location: Merkaz
    Job Type: Full Time
    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.

    The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

    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.
    Requirements:
    Minimum qualifications:
    Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
    5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
    4 years of experience with performance, systems data analysis, visualization tools, or debugging.
    Experience in performance modeling, performance analysis, and workload characterization.

    Preferred qualifications:
    Masters degree or PhD in Engineering, Computer Science, or a related technical field.
    Experience in modern, high-performance CPU/ML architecture and micro-architecture.
    Ability and interest to learn other coding languages as needed.
    Excellent object-oriented, database design, and SQL skills.
    .המשרה מיועדת לנשים ולגברים כאחד
     
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    הגשת מועמדות
    עדכון קורות החיים לפני שליחה
    107807
    שירות זה פתוח ללקוחות VIP בלבד
    דיווח על תוכן לא הולם או מפלה
    מה השם שלך?
    תיאור
    שליחה
    תודה על שיתוף הפעולה
    מודים לך שלקחת חלק בשיפור התוכן שלנו :)
    Location: Merkaz
    Job Type: Full Time and Entry Level Academic Jobs
    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 work with system teams and the Central Processing Unit (CPU) Architecture team to develop an understanding of the CPU, System on a Chip (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. You will correlate performance projections with measured post-silicon data.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
    Responsibilities
    Write product or system development code.
    Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
    Manage project priorities, deadlines, and deliverables.
    Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.
    Requirements:
    Minimum qualifications:
    Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
    1 year of experience with software development in C++ programming language.
    1 year of experience with data structures or algorithms.

    Preferred qualifications:
    Master's degree or PhD in Computer Science or a related technical field.
    Experience in modern CPU/ML architecture and micro-architecture.
    Ability to learn coding languages as needed.
    Excellent object-oriented, database design, and SQL skills.
    .המשרה מיועדת לנשים ולגברים כאחד
     
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    הגשת מועמדות
    עדכון קורות החיים לפני שליחה
    107824
    שירות זה פתוח ללקוחות VIP בלבד
    דיווח על תוכן לא הולם או מפלה
    מה השם שלך?
    תיאור
    שליחה
    תודה על שיתוף הפעולה
    מודים לך שלקחת חלק בשיפור התוכן שלנו :)
    Location: Haifa and Merkaz
    Job Type: Full Time
    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.

    As a Senior CPU Design Verification Engineer, you will work as part of a Research and Development team, and you will build verification components, constrained-random testing, system testing, and verification closure. As part of our server chip design team, you will verify digital designs. You will collaborate closely with design and verification engineers in projects and perform direct verification. You will build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full life-cycle of verification which can range from verification planning, test execution or collecting, and closing coverage.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
    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/UVM, or Specman.
    Identify and write all types of coverage measures for stimulus and corner-cases.
    Debug tests with design engineers to deliver functionally correct design blocks.
    Lead coverage measures to identify verification holes and to show progress towards tape-out.
    Requirements:
    Minimum qualifications:
    Bachelor's degree in Electrical Engineering or equivalent practical experience.
    8 years of experience verifying digital logic at RTL level using SystemVerilog or Specman/E for Field Programmable Gate Arrays (FPGAs) or ASICs.
    Experience verifying digital systems using standard IP components/interconnects (microprocessor cores, hierarchical memory subsystems).
    Experience creating and using verification components and environments in standard verification methodology.
    Experience with CPU implementation, assembly language, or compute System on a Chip (SOC).

    Preferred qualifications:
    Masters degree in Electrical Engineering or Computer Science.
    Experience with UVM, SystemVerilog, or other scripting languages (e.g., Python, Perl, Shell, Bash, etc.).
    .המשרה מיועדת לנשים ולגברים כאחד
     
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    הגשת מועמדות
    עדכון קורות החיים לפני שליחה
    107804
    שירות זה פתוח ללקוחות VIP בלבד
    דיווח על תוכן לא הולם או מפלה
    מה השם שלך?
    תיאור
    שליחה
    תודה על שיתוף הפעולה
    מודים לך שלקחת חלק בשיפור התוכן שלנו :)
    Location: Merkaz
    Job Type: Full Time
    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.

    The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

    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.
    Requirements:
    Minimum qualifications:
    Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
    5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
    4 years of experience with performance, systems data analysis, visualization tools, or debugging.
    Experience in performance modeling, performance analysis, and workload characterization.

    Preferred qualifications:
    Masters degree or PhD in Engineering, Computer Science, or a related technical field.
    Experience in modern, high-performance CPU/ML architecture and micro-architecture.
    Ability and interest to learn other coding languages as needed.
    Excellent object-oriented, database design, and SQL skills.
    .המשרה מיועדת לנשים ולגברים כאחד
     
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    הגשת מועמדות
    עדכון קורות החיים לפני שליחה
    107810
    שירות זה פתוח ללקוחות VIP בלבד
    דיווח על תוכן לא הולם או מפלה
    מה השם שלך?
    תיאור
    שליחה
    תודה על שיתוף הפעולה
    מודים לך שלקחת חלק בשיפור התוכן שלנו :)
    Location: Merkaz
    Job Type: Full Time
    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.

    The Core team builds the technical foundation behind Googles flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Googles products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

    Responsibilities
    Create helpful user-facing channels and cross-product experiences which drive ecosystem adoption, and add value to users, across iOS, Android and desktop.
    Explore new initiatives and improvements on how to get users more engaged with Google products and features.
    Scope or create new user facing Growth initiatives, related to users onboarding, education, and better connecting the Google Ecosystem.
    Increase robustness of the existing products, improving data analytics pipelines and analytics, ML capabilities, better experimentation capabilities, platformizations, alerting, and improving campaigns management.
    Improve and scale products by UX improvement, increase latency and products quality, content improvement and experimentation.
    Requirements:
    Minimum qualifications:
    Bachelors degree or equivalent practical experience.
    2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
    2 years of experience with data structures or algorithms.

    Preferred qualifications:
    Experience with Kotlin, Java, TypeScript or JavaScript.
    .המשרה מיועדת לנשים ולגברים כאחד
     
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    הגשת מועמדות
    עדכון קורות החיים לפני שליחה
    107793
    שירות זה פתוח ללקוחות VIP בלבד
    דיווח על תוכן לא הולם או מפלה
    מה השם שלך?
    תיאור
    שליחה
    תודה על שיתוף הפעולה
    מודים לך שלקחת חלק בשיפור התוכן שלנו :)
    Location: Merkaz
    Job Type: Full Time
    Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's servicesboth our internally critical and our externally-visible systemshave reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SREs will keep an ever-watchful eye on our systems capacity and performance.

    Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, youll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

    Responsibilities
    Improve the life-cycle of services from inception and design, through deployment, operation, and refinement.
    Manage support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
    Provide guidance to other team members on managing availability and performance of mission critical services, on building automation to prevent problem recurrence, and on building automated responses for non-exceptional service conditions.
    Maintain services once they are live by measuring and monitoring availability, latency, and overall system health, and lead sustainable incident response.
    Scale systems sustainably through mechanisms like automation and evolve systems by driving changes that improve reliability and velocity.
    Requirements:
    Minimum qualifications:
    Bachelors degree in Computer Science, a related field, or equivalent practical experience.
    2 years of experience working with one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
    2 years of experience working with administration (e.g., filesystems, inodes, system calls) or networking (e.g., TCP/IP, routing, network topologies and hardware, SDN).

    Preferred qualifications:
    Master's degree in Computer Science or Engineering, or a related field.
    Experience in managing and operating global-scale production systems in cloud environments.
    Experience in architecting, developing, and troubleshooting systems.
    Experience in designing, analyzing, and troubleshooting distributed systems.
    .המשרה מיועדת לנשים ולגברים כאחד
     
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