Cake Job Search

・

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 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 in a technical field, or equivalent practical experience. 8 years of experience in program management. Experience with the software development life cycle and managing engineering programs. Experience with designing and executing A/B testing, incrementality testing, or advanced measurement frameworks and statistical modeling. Preferred qualifications: Experience leading large-scale, complex programs to deliver innovative and high-impact solutions. Experience in software programming or with scripting languages (R, SQL, Python, etc.). Experience applying advanced statistical modeling and quantitative methods to drive data-informed decision-making. Experience translating business challenges into structured analysis. Experience with the digital advertising ecosystem. Strong stakeholder management and communication skills. 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. Responsibilities Serve as a high-level individual contributor and thought leader, partnering with App Ads engineering and product leads to facilitate strategic, data-driven decision-making and facilitate cross-functional knowledge sharing. Conduct sophisticated quantitative analysis of performance metrics and market dynamics to drive business outcomes and long term product strategy that align with KPIs. Lead the development of advanced experimentation and measurement frameworks to design business-critical tests that deepen understanding of the ads ecosystem and refine product roadmaps. Design comprehensive data tracking plans and infrastructure for new feature launches, performing deep dives into session-level trends to prioritize engineering resources and identify growth opportunities. Build centralized business metric hubs to monitor key performance drivers, providing early intelligence on competitive risks, market opportunities, and the overall health of the App Ads business. 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 in a management consulting, sales operations, business strategy or corporate advisory role. Preferred qualifications: 1 year of experience creating complex data sets, data modeling, and reporting. Experience in advertising, consultative sales, business development, or a digital media environment. Excellent problem-solving and project management skills, with ability to leverage AI and standard investigative tools to drive program management. Excellent collaboration skills, with the ability to work seamlessly across various functions. Excellent communication skills, with the ability to translate complex topics into simple, compelling narratives for stakeholders. Excellent team player skills, with the ability to successfully execute cross-functionally. About the jobThe APAC Business Strategy and Operations team provides business critical insights, ensures cross-functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. We stay focused on aligning the highest-level company priorities across business, regulation, and reputation with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives.As a Strategy and Operations Associate for the APAC Go-to-Market Velocity team, you will have the opportunity to work on Google APAC and Go-to-Market's top priorities. You will drive velocity’s strategic priorities that are set up to help unlock future growth and innovation in APAC. You will work alongside regional leadership and cross-functional teams to help design and execute initiatives that unlock long-term business growth and innovation in the region. You will partner with Country Go-to-Market teams across APAC to deliver on their core priorities. You will focus on the velocity program, and get exposure to several aspects of the business. You will support GTM teams by tracking key metrics, understanding key velocity programs, and providing actionable insights to inform critical strategic decisions. With your problem-solving and collaborative skills, you will own and drive specific modules of our organizational efficiency and GTM strategy.Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.Responsibilities Support the velocity annual planning process for APAC by conducting deep analysis and delivering data-driven insights to team leads and managers on high-priority topics. Support complex, cross-functional projects by taking ownership of specific workstreams, helping drive alignment and execution across strategic priorities. Provide day-to-day strategy and operations support, owning systems for tracking and reporting Key Performance Indicators (KPIs), contributing to quarterly updates for APAC leadership and the operational rhythm for APAC velocity. Collaborate closely with team leadership and cross-functional teams to execute, measure, and refine workstreams that drive strategic priorities. Develop a working knowledge of the APAC regulatory landscape across key markets, organizational structures, and key velocity strategic priorities to execute process improvements. 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. 8 years of experience programming in Java, Python, Golang, C++ or equivalent codebases. 3 years of experience building software for data privacy or security (e.g., identity and access management). 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience with building, deploying and using automation for security workflows, including both AI-driven and traditional automation tools. Experience in managing an engineering team, with knowledge of security domains, particularly in threat modeling and data protection controls. Ability to manage a phased program rollout, transitioning operational ownership and scaling technical infrastructure. Ability to partner with global stakeholders to align team goals with broader organizational objectives. About the jobLike Google's own ambitions, the work of a Software Engineer goes way 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. As the Software Engineering Manager for Enterprise Data Protection in Singapore, you will be the foundational lead for a new security team. You will act as a technical leader to hire and manage security engineers to establish our security engineering function. You will coordinate with peers in Enterprise Data Protection's software engineering team to achieve our risk reduction goals. You will lead and have the ability to drive security engineering outcomes, build and lead effective security teams, and foster a collaborative environment to achieve collective goals.Responsibilities Lead a team of software engineers to implement holistic security controls across all systems at Google that process or store our intellectual property. Work with a wide variety of cross-functional roles within Core or Privacy, Safety Security (PSS) and with stakeholders in our Product Areas (PAs) to implement controls that prevent or reduce the risk of data ex-filtration events. Define the security requirements for the next generation of security controls that are context aware and help mitigate the risk of Google's increased use of agentic AI. Partner with security engineers within Enterprise Data Protection to define requirements for the systems and infrastructure needed to achieve our data protection goals, including AI-based classification systems. Build a team in Singapore that has excellent culture and engineering standards. 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: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems, including coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 3 years of work experience with a PhD. Preferred qualifications: PhD in Statistics, Mathematics, Data Science, Economics, or a related quantitative field. 4 years of experience, including expertise with statistical data analysis on real-world data such as ML modeling, experimentation, sampling methods, and causal inference methods. Experience with machine learning on large datasets. Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. Ability to demonstrate leadership and self-direction, with a willingness to both teach others and learn new techniques. Ability to demonstrate skills in selecting the right methodology given a data analysis problem. About the jobAt Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Our team's mission is protecting billions of Android users from abusive applications, including malware, content abuse, impersonation, and behavioral abuse. Preventing abuse is fascinating technically and it features an adversarial scenario where we try to detect bad actors who try in turn to evade detection. Impact and success translates directly to keeping the Android ecosystem safe and protecting users from a variety of types of abuse.As a Data Scientist, Research, you will have the unique opportunity to establish the foundation for data-driven decision-making and product innovation, directly impacting the safety of billions of Android users globally. Your day-to-day will involve data research, innovative solution development (such as improving and evaluating machine learning models), system optimization (e.g., enhancing enqueue and queue prioritization), review quality assessment (for both automated and human decisions), and a variety of other impactful projects requiring strong data and statistical acumen.Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.Responsibilities Work with large datasets and solve difficult, non-routine analysis problems, applying advanced quantitative methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, model development and evaluation, as well as written and oral delivery of results to business partners. Collaborate closely with stakeholders in Product Management, Engineering, and Operations teams to define relevant questions, objectives, and metrics; identify and implement quantitative methods to answer those questions. Develop, own, and evolve methodologies and frameworks, providing source-of-truth measures for the organization. Establish a comprehensive understanding of the production systems, advocate for changes where needed for product development, and build data-driven solutions to facilitate efficiency improvements. 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. 1 year of experience with security assessments or security design reviews or threat modeling. 1 year of experience with coding in programming languages (e.g., Python, Go, SQL, JavaScript). Experience with security engineering, computer and network security and security protocols. Preferred qualifications: Experience in specific enterprise security domains, such as threat modeling, authentication/access controls, data protection controls, or sandboxing technologies. Familiarity with Google’s internal security tools, infrastructure (e.g., BeyondCorp), and processes for vulnerability management. Understanding of Google’s most-commonly used production tech stacks. Proven ability to independently produce high-quality Google engineering artifacts (e.g., design docs, code reviews, or risk assessments) that require minimal revision. About the jobOur Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities. In this role, you will deliver technical contributions to enterprise security projects focused on protecting Alphabet’s data from risks associated with first-party and third-party Artificial Intelligence (AI) products. You will be assisting Google teams with securing AI-related features and products, including assessment of enterprise security controls within Google’s own products. You will partner with the Enterprise Security AI team to define and validate paths that guide secure AI development and use across the company. You will be an individual contributor with a well-rounded understanding of Google’s production tech stacks. You will be able to draw on security engineering knowledge including threat modeling, security assessments, access controls, and data protection, and adapt this knowledge to advise on mitigating risks due to increased AI use.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 Deliver quality security assessments and threat models for first-party and third-party AI agents, ensuring they adhere to established practices and enterprise security principles. Propose and validate technical guardrails to prevent unauthorized agentic AI actions, and to inform the development of frameworks/solutions that support secure AI development. Use the subject-matter expertise to assist with escalations and remediation in collaboration with members of the team. Share expertise on agent security technologies and Google-specific security infrastructure with adjacent teams to improve cross-functional project collaboration. 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. 8 years of experience with security assessments, security design reviews, or threat modeling. 8 years of experience with security engineering, computer and network security, and security protocols. 8 years of coding experience in one or more general purpose languages. 5 years of experience in managing a team of engineers or security professionals for an organization. Preferred qualifications: Experience in protecting systems, security assessments, or security testing of platforms. Experience prioritizing and managing across multiple time-sensitive initiatives. Experience designing security solutions to business problems. Experience managing engineering teams and a Knowledge of the relevant security domains, particularly in threat modeling, security assessments, authentication and access controls, and data protection controls. 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 are a recognized expert in at least two security domains and use your leadership skills to manage a team that sets the direction and goals for solving Google-wide problems. You identify fundamental security problems at Google and drives major security improvements in Google infrastructure. The mission of Enterprise Security: SaaS (EntSec SaaS) is to protect Google's enterprise data and business processes in a third-party Software as a Service (SaaS) platform. You will be an organizational leader, and build and lead security teams, and foster a collaborative environment to achieve collective goals. The role demands a technical foundation across security engineering, with excellent cross-functional collaboration skills, to manage the security challenges and operations. You must be able to apply on enterprise security expertise, including threat modeling, security assessments, authentication and access controls, and data protection controls, with the ability to adapt their knowledge and experience to defend against new AI-related risks.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 partner teams across security engineering. Oversee the operations for the Singapore-based teams responsible for assessing and reducing the impact of SaaS enterprise security risks, and assisting with the creation of well-lit paths for enterprise use of SaaS. Drive improvement in SaaS security posture through continuous monitoring, coverage expansion, and developing agentic solutions. Foster global collaboration through maintaining a high level of operational independence while collaborating closely with key partners and Office of Cybersecurity Resilience global leads in APAC and the US to align on strategy and technical direction. 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 full-stack development, including back-end, such as Java, Python, GO, or C++ codebases, and front-end, such as JavaScript, TypeScript, HTML, or CSS. Experience developing computer vision or machine learning products. Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. Experience with hacking hardware (e.g., Arduino, Raspberry Pi, etc.), and with other technologies (e.g., AS3, OpenCV, Android, Obj-C, etc). Experience deploying machine learning models on edge devices or in resource-constrained environments. Experience working in agricultural tech, bio-tech, or environmental science. Familiarity with spatial statistics or epidemiological modeling. 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 play a critical role in advancing our mosquito-born disease eradication program, directly contributing to vector control and public health initiatives. You will sit at the intersection of computer vision, statistical modeling, and software engineering. You will be solving complex biological problems and writing the production-ready code required to deploy those solutions into the real world. Responsibilities Design, train, and deploy deep learning models to visually analyze mosquitoes in our production process. Build high-accuracy object detection and image segmentation pipelines to count mosquito pupae from complex, real-world image data. Leverage environmental data and biological parameters to model mosquito population dynamics, ultimately optimizing our mosquito release strategies and schedules. Take ownership of the full machine learning lifecycle and transition models from local research prototypes into scalable, highly available production environments. Work closely with entomologists, data scientists, and hardware engineers to leverage machine learning techniques to most effectively solve problems for 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

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 experience coding in one or more general purpose languages (e.g., Python, SQL, C, C++, Java, Go). Preferred qualifications: Demonstrated experience and strong background in relevant enterprise security domains, particularly in threat modeling, security assessments, authentication and access controls, SaaS security, cloud security and data protection. Experience with security engineering, security architecture or consulting. Proven ability to independently produce high-quality engineering artifacts (e.g., design docs, code reviews, or risk assessments) that require minimal revision. Ability to drive and deliver risk reduction outcomes with high autonomy and limited oversight. Excellent verbal and written communication skills. 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. SPMA (Security and Privacy for Mergers, Acquisitions and Alphabet) team’s mandate is focused on reducing Acquisitions, third-party and Cloud risk to Google and Alphabet. SPMA executes on its mandate through three key verticals:Mergers, Acquisitions and Alphabets (MA): Effectively and safely raise the security bar for Google’s Off Google entities (Acquisitions and Bets); helping companies navigate Google’s security landscape and processes, thereby safely and securely integrating/divesting/separating them. Alphabet Use of Cloud (AUC): Manage and minimize risk from Alphabet’s use of public clouds (GCP).Third-party/Vendor Security Diligence (3PSD): Ensure effective governance and minimize risk from Alphabet’s use of third-party vendors.This role sits within the Third Party/Vendor Security Diligence (3PSD) vertical, focusing on third-party security. Alphabet’s Third Party Security Diligence program ensures security of our third-party engagements, and is part of a broader third-party risk management ecosystem.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 comprehensive security diligence for critical and high-risk third-party vendors, evaluating their controls against Google's requirements, identifying risks, and recommending remediation. Contribute to the engineering improvement of the Third Party Security Diligence (3PSD) program by developing tools, automation, and proposing process enhancements. Assist in technically integrating 3PSD tools with the wider OneTPRM ecosystem and support data analysis to identify risk trends. Collaborate with and provide security guidance to internal stakeholders like vendor managers and Product teams on third-party engagements. Develop and maintain deep technical expertise in security domains relevant to third-party risk (e.g., cloud, application security, IAM) and help create reusable security patterns and 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