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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. 5 years of experience with cloud infrastructure. 5 years of experience in a technical role focused on AI infrastructure, GPU programming (e.g., CUDA, OpenCL) and optimization techniques. Experience building and operationalizing machine learning models. Preferred qualifications: Experience training and fine-tuning large models (e.g., image, language, segmentation, recommendation, genomics) with accelerators. Experience with performance profiling tools (e.g., TensorFlow profiler, PyTorch profiler, Tensorboard). Experience designing/architecting large-scale infrastructure farms for specialist Artificial Intelligence (AI) use cases. Experience with running Machine Learning (ML) Perf benchmarks, distributed training and optimizing performance versus costs. Experience with High Performance Computing (HPC) environments and contributions to open-source projects related to AI or infrastructure. Excellent communication, presentation, and teamwork skills. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Customer Engineer for AI Infrastructure, you will be the technical expert and trusted advisor for our customers, helping them design, deploy, and optimize AI solutions using cutting-edge hardware and software. Your focus will be on GPUs, accelerators (including FPGAs and ASICs), and Google TPUs. You will work closely with Sales, Product Management, and Engineering to ensure our customers achieve maximum value from their AI investments. You will be responsible for scaling and helping accelerate GCP AI Infrastructure business growth.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure. Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and bench-marking. Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. Travel to customer sites and events as needed. Be responsible for business growth and workload acceleration on AI infrastructure products and solutions for Google Cloud Platform (GCP). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 1 year of experience working with and testing multiple L2 and L3 networking protocols as well as troubleshooting automation. Experience with test methodologies, writing test plans and creating test cases. Experience in Network Test Automation, Programming, Coding (Python or Go). Preferred qualifications: Master's or PhD in in Computer Science, Electrical Engineering, or a related field or equivalent practical experience. 1 year of Experience with object-oriented programming languages, such as C++ or Python. Experience with testing or releasing networking products. Experience working with and testing multiple L2 and L3 networking protocols as well as troubleshooting automation. About the jobOur computational challenges are so big and unique we can't just buy our hardware, we've got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Networking Test Engineer you make sure that our massive and growing network is operating at its peak potential. You have hands-on experience with complex networking equipment, a deep understanding of networking protocols, test design and implementation chops and a background in IP network design. It's your job to make sure Google's cutting-edge technology can perform at scale. Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.Responsibilities Identify and report bugs, including escalating complex issues to senior engineers or managers. Develop and execute test plans, including contributing to the hardening of device hardware and software by developing automated scripts and running regression on existing Google platforms. Manage testing and releases of networking products, including managing timelines and project plans. Write and review test plans with teams, including identifying and gathering requirements to test networking features of a moderate to high-complexity project, participate in cross-functional reviews with related teams which cover test plans and test results. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software engineering, test automation, or network engineering. Experience managing and operating ethernet switches in an ISP environment. Experience developing software applications using C++ and Python. Experience leading and managing engineering teams. Experience with data center networking. Preferred qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field. 12 years of experience in software networking, specially data center networking domain. Understanding of networking concepts (e.g., TCP/IP, routing, switching). Excellent communication, collaboration, and leadership skills. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The Switch Infrastructure team designs, develops, tests, and deploys the switch hardware and software for the networks inside Google's massive data centers and the private backbone connecting them worldwide. Our work enables and supports all major Google services, including Search, YouTube, Gmail, Google Cloud Platform (GCP), and the rapidly growing AI/ML infrastructure like Gemini.Our mission is to build exceptional, industry-aligned switch software that advances Google's network infrastructure for scalability, agility, reliability, and innovation, with a strong focus on supporting AI/ML demands.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, mentor, and grow a team of engineers responsible for the testing and validation of Google's network switch stack and infrastructure. Define and drive the strategy, roadmap, and execution for network test engineering, automation, and infrastructure. Collaborate with cross-functional teams (e.g., Development, SRE, Product Management) to ensure high-quality network deployments. Oversee the design, development, and maintenance of test frameworks, tools, and testbeds. Ensure comprehensive test coverage, including functional, performance, scale, and integration testing. Manage project priorities, resource allocation, and timelines. Drive best practices in software development and test engineering within the team. Foster a culture of innovation, collaboration, and engineering excellence. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience in program management. Preferred qualifications: Experience with program management in the networking area with delivering infrastructure assets and vendor management. Knowledge of fiber optic systems/submarine cable ecosystem. Understanding of Asian and global carrier networks. Ability to exercise business and technical understanding to drive the long-term objectives of the organization. Ability to identify opportunities for optimization whilst possessing and problem-solving skills. Excellent financial skills and adopt a data-driven, problem-solving approach towards solving complex challenges. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. As a Technical Program Management, you will lead the planning, design, acquisition and long-term scaling of Google's Production networks in Asia. You will ensure our network can support the growth of all existing and new products and services in Asia cost efficiently and on-time. Your responsibility includes securing and building network infrastructure, from co-location space, metro fiber, long haul networks, to submarine capacity/cables and related infrastructure across many countries in Asia.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 Collaborate with internal business and cross-functional networking technical teams to identify and define tactical and strategic initiatives necessary to meet Google's network infrastructure needs for both expansion and cost optimization across Asia. Present network plans for approval by all internal stakeholders. Plan complexity will range from short-term metro augments to long-term region-wide strategies for Google network in Asia. Manage the approved network plan with internal contributors such as network negotiators or vendor delivery managers to ensure infrastructure is delivered on-time. Partner with cross-functional teams to define and improve business processes to enable automation, reduce lead time and manage changes. Communicate progress internally and collaborate with network deployment and other technical teams. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience with testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Experience working with large datasets in SQL. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 2 years of experience with software development in the Java programming language. Experience in capacity planning and resource management. Experience in developing and working with large-scale distributed systems. Experience as a software engineer with knowledge of three or more of the following areas: Application Programming Interfaces (APIs) and services, distributed systems, tools, testing infrastructure, and monitoring infrastructure. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 team's mission is to deliver efficient compute solutions across Google. We design and enhance resource products that optimize resource usage, ensuring compute products align with multiple business needs. The focus includes working in collaboration with the Operations and Infrastructure Data Science (ODS) team on statistical modeling to provide capacity, integrating compute resource management tools, and creating new cluster management products that maximize efficiency. We collaborate with teams throughout Google to drive efficiency and usability, covering Machine Learning (ML) and non-machine learning use cases in a variety of environments.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 Create system reliability and support for resource management with the Spatial Flexibility technical leadership team as part of the creation and execution of deliverables. Build technical solutions from the ground-up as part of the global Spatial Flexibility team. Develop, maintain, and simplify systems. Collaborate with team across the United States (e.g., West coast), India and Poland. Improve compute and ML resource efficiency to impact Google's bottom line and the net environmental impact. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience in backend Infrastructure development. Experience in general purpose coding languages like C++, Go, or Python development. Experience with algorithms, data structures, software development, and distributed computing. Preferred qualifications: Experience designing reliable, fault-tolerant and high performance distributed systems. Experience with building cloud based services ideally with GCP. Experience with large-scale distributed systems or Machine Learning (ML) systems (training and serving for computer vision, speech recognition, natural language processing, machine translation models). Experience with reliability, large-scale distributed systems, Go, Google Cloud Platform, tensor processing unit (TPU), and service level objectives. About the jobGoogle'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 Google’s 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 TPU Infra team is the engine behind Google’s AI Hypercomputer, responsible for the technical strategy and execution of the Machine Learning (ML) Compute IaaS platforms. In this role, you will be architecting, implementing, and leading the infrastructure software solutions that manage the massive global fleet.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 Design and build scalable software capabilities to manage the availability, scheduling, and reliability of the Cloud TPU Hypercomputer stack (VMs, Networking, Storage, GKE etc.). Architect infrastructure solutions to ensure industry-leading availability guarantees for large-scale training and inference workloads. Develop telemetry and tooling to establish service level objectives (SLO) and service level agreements (SLA), and to enable rapid debugging of complex infrastructure issues across the fleet. Collaborate with platform, hardware, networking, and SRE teams to scale and manage accelerator capacity, including new TPU generations, ensure a seamless experience for customers. Design and implement reliable ML infrastructure that enables training and serving cutting edge models at massive scale, troubleshoot complex distributed system issues across the stack (hardware, kernel, network), build the automation, tooling, and telemetry needed to turn operational findings into permanent software fixes and improved SLOs. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Preferred qualifications: Master's degree or PhD in computer science or a related technical field. 3 years of experience working in a changing organization. Experience coding with Java, TypeScript, APIs, and databases. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.Responsibilities Manage a team of engineers. Drive projects and provide technical leadership to inspire teams to innovate, design, and implement user facing capabilities for account foundation, growth engine campaign experiences. Build and scale infrastructure to enable sign up experience changes. Partner and collaborate with engineering teams across multiple Google product areas, product, and program management teams. Work with partner teams and product managers in developing a long-term technology roadmap. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, Math, a related quantitative field, or equivalent practical experience in software development. 2 years of experience in full-stack software development. Experience with front-end languages (e.g., JavaScript or TypeScript). Experience with backend languages (e.g., Java, Python, or C++). Experience working with database technologies (e.g., SQL, NoSQL). Preferred qualifications: 2 years of experience designing and optimizing databases. Experience with unit testing, agile project development, and bug and change management systems. Ability to be flexible/adaptable in exercising judgment in a dynamic environment and to prioritize and manage tasks efficiently. Ability to provide effective technical solutions to business challenges. About the jobIn gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more). Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Design, build, deploy, and improve the modern full-stack web applications using standard and Google-specific software development tools. This may include ensuring reliable backends, building pipelines to aggregate data from multiple sources, implementing responsive and UX-rich front-ends, or enhancing performance of existing tools and services. Analyze problems and develop solutions, while identifying dependencies and resolving issues to drive implementation. Make technical contributions, including writing and reviewing design documents, tests, and code (e.g., JavaScript, Python, TypeScript, SQL). Provide subject-matter expertise and utilize knowledge of Google's related technologies, principles, practices, and coding standards. Collaborate with cross-functional users and stakeholders to identify pain points and devise technical solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. 3 years of experience with Ethernet switching. Experience with developing software applications using the C++ and C programming language. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. Experience in developing accessible technologies. About the jobGoogle'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 Google’s 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. 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.The AI and Infrastructure team is redefining what’s 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 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 Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Write and test product or system development code. Lead design reviews with peers and stakeholders to select among 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 is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience in testing and launching software products. 3 years of experience with software design and architecture. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 3 years of experience in a technical leadership role with leading project teams and setting technical direction. 3 years of experience with working in an organization involving cross-functional, or cross-business projects. About the jobGoogle'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 Google’s 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. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.Responsibilities Design, develop and evolve the major components of the next-generation Search Serving Infrastructure. Own areas of the platform and make sure it provides the level of scalability, reliability and latency. Work with Area Tech Leads (ATLs), other engineers, Team Leads (TLs) and cross-functional teams, and help align the platform evolution with Search's architectural efforts. Maintain code quality of production systems. Lead and mentor junior engineers. Design, develop, test, deploy, maintain, and enhance large-scale software solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.