Cake Job Search

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Negotiable

No requirement for relevant working experience

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with security assessments or security design reviews or threat modeling. 2 years of experience with security engineering, computer and network security and security protocols. 2 years of coding experience in one or more general purpose languages. Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. Experience in agentic software engineering. Experience in AI-driven large-scale data reasoning and inference processes. Expertise in AI. Familiarity with cybersecurity solutions and related product landscapes. About the jobThere's no such thing as a "safe system" - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities.You use your industry experience to own and drive the resolution of complex security incidents, policy questions and technical security issues. Enterprise Data Protection (EDP) is an overarching cybersecurity program that delivers security controls across Google's systems and enables the enforcement of consistent security policies on all platforms housing Google’s IP. EDP develops and delivers native security controls while influencing, integrating, and driving security standards across other teams. We focus on proactive, preventive measures designed to mitigate threats before they occur.In this role, you will engineer the next generation of data protection by building infrastructure that safeguards Google’s intellectual property and user data. You will deliver reliable, high-scale systems and seamless Data Loss Prevention (DLP) solutions that balance security with developer usability, ensuring every Googler can work securely and resiliently across the globe.The Core team builds the technical foundation behind Google’s 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 Google’s 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 Implement security controls across all systems at Google that process or store our intellectual property. Work with security engineers, product managers, technical program managers, stakeholders in the product area, and partner teams to implement preventive exfiltration controls. Lead other engineers on designing and building controls for many systems, including workspace, Chrome, bug manager, corporate endpoints, access management systems, and more. Lead the engineering effort to design and implement automatic AI based classification systems. Build next generation security controls that are context aware, ensure controls are effective against threats from agentic AI. 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.

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Negotiable

No requirement for relevant working experience

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 5 years of experience with customer-facing designing and deploying distributed data processing systems with one or more technologies. Experience with SQL databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Mongo, Cassandra, DynamoDB, etc.). Experience with data modeling techniques and methodologies for traditional Online Analytical Processing or Online Transaction Processing (OLAP/OLTP) databases and modern data warehouses Preferred qualifications: 5 years of experience in managing technical client service. Experience with reading software code in one or more languages such as Java, Python, NodeJS, Golang, JavaScript. Experience in devising migration approaches, and migrating on-premise data processing systems to Cloud. Experience with designing and deploying distributed data processing systems with one or more technologies: SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, Flink, Kafka, Druid, Hive, HBase, Vertica, Netezza or Teradata. Knowledge of building and operationalizing data pipelines. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will work with customers on projects to transform their business with data. You will provide consulting, solution design, and technical program management capabilities to customer engagements while guiding customer executives and technical stakeholders on project related decisions. You will serve as a liaison between the customers and product teams to drive product excellence and adoption. You will also work with Google partners currently servicing accounts to manage programs, deliver consulting services, and provide technical guidance.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 Work with customer technical leads, client executives, and partners to manage and deliver implementations of cloud solutions. Become a trusted advisor to decision makers throughout the engagement. Work with internal specialists, product and engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets. Interact with business, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for client outcomes. Propose solution architectures and manage the deployment of cloud based databases, big data, and analytics solutions according to customer requirements and implement best practices. 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.

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Negotiable

No requirement for relevant working experience

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 2 years of experience with software development in one or more programming languages (e.g., C, C++, Java, Python or Go). Experience with large-scale data processing and distributed systems. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience with Google's internal data technologies. Experience with Payment products. Experience with full-stack development. 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. In this role, you will build and evolve the core data infrastructure and tooling that underpins decision-making and product development within consumer payment. You will contribute to enhancing the self-serve data platform capabilities, ensuring data reliability, scalability, and compliance, and empowering product and analyst teams to leverage Payments data.Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.Responsibilities Design, develop, and implement data pipelines and infrastructure. Take ownership of technical problems, from ideation and research to proposing and delivering end-to-end solutions involving requirements. Collaborate with Product Managers, Data Scientists, Analysts, and Feature Engineering teams to understand data needs and deliver data solutions that meet business requirements. Identify opportunities to improve system efficiency, reliability, and developer experience within the data platform. Address technical debt and implement optimizations. Advocate and implement best practices in data infrastructure, software development, testing, and monitoring to ensure the reliability, scalability, and efficiency of Golden Data Pipeline's (GDP's) systems. 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.

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Negotiable

No requirement for relevant working experience

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience. 7 years of experience in controls/automation in an industrial or commercial environment. Ability to participate in material handling tasks such as lifting, carrying or moving up to 50 lbs (23 kg) of equipment, the required use of safety equipment such as limited weight bearing work platforms, ladders, step stools and personal protective equipment (PPE) like safety harnesses in accordance with safety and ergonomic guidelines and assessments. Ability to work non-standard hours and differing work rotations/shifts. Preferred qualifications: Industry standard certifications related to system administration (e.g., CompTIA A+, CompTIA Network+, CompTIA Security+, Certified Linux system administrator). 7 years of experience in controls/automation, or construction/technical environment or a related field. Experience in data centers, hospitals, power plants, or laboratories. Scripting language proficiency. Knowledge of meters, devices, sensors, relays and troubleshooting utilizing standard hand tools, digital metering, or calibration/diagnostic equipment. Ability to communicate with contractors who perform maintenance or upgrade work on the data center systems. About the jobThe Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components).As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures. As a Facilities Technician, you will operate, monitor, and support physical facilities conditions for our data centers.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 team 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 Inspect, maintain, and repair various data center systems such as servers, network equipment, Programmable Logic Controllers (PLCs), system administration, access control, alarm investigation, and Supervisory Control and Data Acquisition (SCADA) management. Provide daily assistance to technicians as you read blueprints/schematics/ladder logic/sequence of operations, conduct tours of systems, and assess their working order. Control monitoring, logging, and alarming systems. Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment. Support startup, commissioning, and integration of new controls equipment and systems into facilities infrastructure. 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.

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Negotiable

No requirement for relevant working experience

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Computer Science or a related technical field or equivalent practical experience. 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 1 year of experience with full stack development, across back-end (e.g., Java, Python, GO, or C++ codebases), and front-end experience including JavaScript or TypeScript, HTML, CSS, or equivalent. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience in at least two programming languages selected from C, C++, C#, Java, JavaScript, Go, or Python. Experience in software development for security, machine learning, distributed systems, Unix/Linux environments, or web/mobile applications. Expertise in AI, with specific experience in agentic software engineering. 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.As a key member of a small and versatile team, you design, test, deploy and maintain software solutions. Enterprise Data Protection (EDP) is focused on protecting Google from exfiltration of intellectual property. You will work on an engineering team that builds software systems that implement an array of security controls to prevent accidental or malicious data exfiltration. This will include threats that originate from human or autonomous AI agentic actions. Responsibilities Work on a team of software engineers to implement security controls across all systems processing or storing intellectual property, leading significant components designed to prevent data exfiltration. Partner with Security Engineers, Product Managers, Technical Program Managers, and cross-functional stakeholders to deploy preventive exfiltration controls. Design and build controls for systems including Workspace, Chrome, Bug Manager, Corporate Endpoints, and Access Management. Build next generation security controls that are context aware, and manage threats from agentic AI. 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.

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Negotiable

No requirement for relevant working experience

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience coding in Python and SQL. 5 years of experience designing and deploying data pipelines, including managing data schemas and processing data volume workflows. 5 years of experience working with machine learning operations and data architecture design. Preferred qualifications: 5 years of experience designing enterprise-scale data platforms and analytics infrastructure. 5 years of experience with AI/LLM-based systems, agentic workflows, or intelligent data applications. 5 years of experience with using Gemini Command-line Interface, Cider Agents, LLM Extensions, Agent Development Kit (ADK) Agents etc. 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders or customers. Experience with Machine Learning for production workflows. Ability to operate across ambiguity and influence cross-functional technical decisions. About the jobAs a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.Responsibilities Design and build agentic analytics systems leveraging Large Language Models (LLMs) and AI to automate insight generation and workflows. Translate product needs into production-grade data systems (models, pipelines, and services). Lead the design and coordination of analytics infrastructure powering product analytics across Payments. Build AI-native analytics workflows, embedding intelligence directly into data and decision systems. Partner with Product, Data Science, and Engineering to shape problem definitions and deliver the solutions. Drive data quality, reliability, and governance standards across critical analytics systems. Build internal tools and frameworks to enable self-serve analytics and faster iteration for product 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.

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Negotiable

No requirement for relevant working experience

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Computer Science or a related technical field or equivalent practical experience. 2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. 2 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 2 years of experience working on large scale distributed systems, or similar experience with mobile or web development. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Expertise in AI, with specific experience in agentic software engineering. Familiarity with cybersecurity solutions and related product landscapes. Background in AI-driven large-scale data reasoning and inference processes. 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. Enterprise Data Protection (EDP) is focused on protecting Google from exfiltration of intellectual property. You will work on an engineering team that builds software systems that implement an array of security controls to prevent accidental or malicious data exfiltration. This will include threats that originate from human or autonomous AI agentic actions. You will lead significant components of these systems in terms of design and development, working with cross functional stakeholders across geo locales. Responsibilities Work on a team of software engineers to implement security controls across all systems processing or storing intellectual property, leading significant components designed to prevent data exfiltration. Partner with Security Engineers, Product Managers, Technical Program Managers, and cross-functional stakeholders to deploy preventive exfiltration controls. Design and build controls for systems. Build and implement automatic AI-based classification systems for next-generation, context-aware security. Ensure security controls effectively mitigate risks from both human and autonomous agentic AI threats. 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.

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Negotiable

No requirement for relevant working experience

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Experience with assembly of mechanical or electrical systems, or performing component-level repairs and troubleshooting on technical equipment. Experience diagnosing and troubleshooting one of the following: operating systems, computer/server hardware, or networking protocols. Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting. Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required. Preferred qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols. Experience in Linux professional institute certificate or equivalent working with Linux (Red Hat, Slackware, Fedora, SUSE, Ubuntu, Debian, Gentoo) or Unix (Solaris, AIX, HP-UX, BSD) or another similar operating system. Experience with performing component-level repairs and troubleshooting on IT equipment or in a similar role (e.g., systems administration, network deployment engineer, help desk technician, etc). Experience in project leadership and management. Experience working within a data center or network operation center environment. About the jobGoogle isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with the infrastructure of computer technology. 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 Deploy and operate new data center infrastructure across projects or functions. Report issues and follow data center procedures to troubleshoot and diagnose issues with equipment or infrastructure as they arise, and apply the resources needed to resolve identified issues. Maintain the security and integrity of data, track various forms of media to check for standard data security issues (e.g., data was not properly erased) handled in accordance with Google security standards. Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, in a team setting. Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues with defined solutions and limited guidance. 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.

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Negotiable

No requirement for relevant working experience

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 2 years of experience in program management. Experience working and partnering with enterprise security or software development teams. Preferred qualifications: 2 years of experience managing cross-functional or cross-team projects. 5 years of experience in technical program management. Experience using quantitative analysis to inform decisions and proficiency in data analytics. Experience using AI and seek opportunities to use AI/ML technologies to lead improvements across programs. 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. Office of Cybersecurity Resilience's (OCR) mission is to enable Alphabet and external partners to anticipate, mitigate, and rapidly recover from cyber threats through data-driven risk management, secure-by-default technology, and integrated response.Our Program Management Office (PMO) team partners with OCR and advances this mission via deep integration, domain expertise, craft of program management, versatility, and a high-performing team.Our work makes Google, our users, and the internet safer. The OCR IIP team aims to keep Google User Data safe by protecting Googlers and the compute infrastructure they use to access it, while maintaining a balance between security and usability. This is achieved by motivating and building reliable, trustworthy, and usable computing infrastructure that makes it easy for every Googler to securely work and build products. Specifically, this role will work on the Enterprise Data Loss Prevention program.The Core team builds the technical foundation behind Google’s 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 Google’s 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 Collaborate with engineering, product management, and client teams to deliver risk mitigation efforts that support Google's primary objectives for Enterprise Data Security. Apply technical expertise to foster alignment, oversee dependencies, define project scope, guide prioritization, and facilitate execution across teams. Deploy program management frameworks and tools to optimise execution, establish priorities, monitor milestones, and coordinate interdependencies. Advance strategic goals and operational quality through comprehensive planning, clear accountability, and organizational transparency. Cultivate partnerships with essential stakeholders and Product Area leads, establishing communication structures to manage evolving priorities, track program health, and address risks. 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.

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Negotiable

No requirement for relevant working experience