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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 Mechanical Engineering, Electrical Engineering or IT Engineering, or equivalent practical experience. 5 years of experience working with external telecom vendors on telecom products. Preferred qualifications: Master's degree in Mechanical or Electrical or IT engineering. 6 years of experience as a Registered Communications Distribution Designer (RCDD) Certified professional with ICT/telecom scope within mechanical and electrical data center products. 6 years of experience as key contributor on ICT/telecom scope within mechanical and electrical data center products Experience with Autodesk Revit or other 3D modeling software developing telecom rack and tray layouts. Ability to travel to visit data center sites or manufacturing partners. About the jobOur thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. The Data Center Design Integration team is a multi disciplinary team of architects and Information and Communication Technology (ICT)/Telecommunications (Telecom) designers that work on next generation data center designs. We are a sub-team of the broader Data Center Technology and Systems (DCTS) organization.As a Telecom Lead, you will be responsible for working with executive level engineers across all disciplines to develop integrated telecom communication designs at the product and top level assembly state of a data center. You will lead external consultants to develop coordinated construction level drawing packages for manufacturing and construction.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 Work with internal telecom engineers and network designers to rationalize requirements into products, conceptual one lines and conceptual rack or tray layouts to enable adequate telecom infrastructure. Work with cross-functional disciplines across architecture, civil, mechanical, electrical, controls, security on product development, and assembly integration of telecom infrastructure. Participate in internal and external ICT/telecom product and data center design reviews across the following disciplines: Telecom, Security, Controls and Networking. Review construction level drawings produced by internal and external vendors that document ICT/telecom scope for program reference. Review and enable best practices for converged network allocations across all mechanical, electrical, and controls products. Act as an escalation path for site localization of canonical design where local requirements necessitate engineering judgement on adjustments to ICT/telecom design. 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.
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.
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.
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 working within a data center or network operation center environment. Experience in project leadership and management. 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 infrastructure that is at the 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.
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 in product management, with a focus on enterprise security, data privacy, or internal infrastructure. 2 years of experience conducting user research or customer discovery, and guiding product roadmaps and Go-To-Market (GTM) strategies. Preferred qualifications: Master's degree in a technology or business related field. 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting). Experience implementing complex technical changes or policies across large organizations through effective change management. Knowledge of data classification, encryption, and zero trust/BeyondCorp access models. Ability to use qualitative research and quantitative telemetry to advocate for the user and influence security engineering priorities. Ability to build security products, by applying UX principles to technical infrastructure. About the jobAt Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. In this role, you will be a key individual contributor responsible for driving initiatives that discover, classify, and protect Google’s most sensitive internal information. Working closely with the established Product Management Lead for this space, you will bridge the gap between complex security requirements and high-velocity engineering execution. You will serve as the advocate for the customer (Googlers and leads of organizations within Google like YouTube, Workspace, and more). You will be tasked with enabling and accelerating risk reduction by performing deep customer research to understand internal workflows. This insight will directly inform your GTM strategy, ensuring that security controls and policies "lands" effectively, with high adoption and minimal disruption to Google’s velocity.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 Conduct deep-dive user research, interviews, and surveys with internal teams (Engineering, Sales, Finance, etc.) to understand their data workflows and pain points. Use customer insights to design and execute GTM plans for new security controls. Ensure that "landings" are informed by user reality, reducing friction and preventing "security fatigue." Identify and drive product workstreams that measurably reduce data security risks across Google’s internal infrastructure. Own the end-to-end adoption lifecycle of security policies. Translate technical mandates into clear, empathetic communications and low-friction user experiences. Collaborate closely with the Product Management Lead for enterprise data protection to align your workstreams with the broader security goal and multi-year 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.
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.
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.
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, a related technical field, or equivalent practical experience. 5 years of experience with security in attacks and mitigation methods. 5 years of experience with security engineering, computer and network security and security protocols. 5 years of coding experience in one or more general purpose languages. 1 year of experience leading teams in a technical capacity or leading technical risk analysis in an enterprise environment. Preferred qualifications: Experience developing threat models and performing technical security assessments of systems. Understanding of networking concepts (e.g., protocols, topologies, encryption). Ability to design and develop new security control implementations. 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 cyber-security program that delivers holistic 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 EDP, you will engineer the next generation of data protection by building infrastructure that safeguards Google’s intellectual property and user data. We 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 Design, build, and implement security solutions to identify, measure, and remediate security gaps in Alphabet's infrastructure using public clouds (e.g., Google Cloud Platform) and on-premise physical networks. Review designs for cloud architecture and already deployed infrastructure to perform technical security assessments, develop threat models, provide design feedback, report security findings and provide remediation recommendation. Design solutions and develop documentation that ensure Alphabet's infrastructure using public clouds (e.g., Google Cloud Platform), on-premise physical networks, and other third-party hosted software and systems to the security standards. Build security tools and processes using Python or Go for critical infrastructure protection, monitoring, and remediation. Conduct security reviews of core corporate and production 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.
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.
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 with software development in one or more programming languages. 3 years of experience with full stack development, across back-end such as Java, Python, Golang, C++ or equivalent codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. Experience with designing and operating large-scale distributed systems. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience in AI-driven large-scale data reasoning and inference processes. Experience in AI, specifically in agentic software engineering. Proven track record of supervising teams of 4-5 engineers, providing direct coaching and professional mentorship. Familiarity with cybersecurity solutions and related product landscapes. Ability to integrate rapidly into new team environments while facilitating the onboarding of fellow engineers. 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. Enterprise Data Protection (EDP) is focused on protecting Google from exfiltration of intellectual property. In this role, 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 large parts of the systems involved, independently designing and guiding other engineers on implementation. You will be a critical part of creating a culture of engineering excellence in the team. You will work with cross-functional stakeholders across geo locales. Responsibilities Implement holistic, next generation security controls that are context aware across all Google systems storing intellectual property. Work with Security Engineers, Product Managers, Technical Program Managers, and partner teams to implement preventive data exfiltration controls. Lead other engineers on designing and building controls for systems, including workspace, chrome, bug manager, corporate endpoints, and access management. Lead the engineering effort to design and implement automatic AI-based classification systems, ensuring controls are effective against threats from agentic AI. Help onboard other engineers and foster a culture of engineering excellence across the team. 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.
Negotiable
No requirement for relevant working experience

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