Google Inc.

Network Operations Engineer, Sovereign Operations, Hampshire Location: Hampshire satellite site with occasional travel to London. On-site five days per week. Minimum requirements: Bachelor's degree in Computer Science, Computer Networking, Information Security, or a related technical field, or equivalent practical experience. 3 years of experience with Linux Systems Administration and kernel level/data plane cloud native networking. Experience with one or more scripting languages such as Python, Bash, PowerShell. Experience designing and implementing resilient, secure networks using a wide range of technologies. Active or ability to obtain a Developed Vetting (DV) UK security clearance. Preferred qualifications Experience deploying and operating production workloads in Kubernetes. Experience designing and implementing configuration management solutions to enable network and cloud platform operations (e.g., Ansible, Terraform, or Puppet). Understanding of the Kubernetes networking model and debugging CNI plugin (e.g., Cilium) configurations and Service Mesh (e.g., Istio) architectures. Excellent partner management, follow-through, resourcefulness, attention to detail, and verbal and written communication skills. Current and active UK Security Check (SC) or UK Developed Vetting (DV) security clearance. Responsibilities Engage and improve the whole life cycle of secure cloud platform network systems. Assist Engineering and Operations teams in building an ecosystem of integration, empowering software automation to scale within private/secure networks. Maintain, secure, and debug cross-cluster communications in an air gapped Kubernetes infrastructure using Cilium for eBPF based container networking and Istio for microservice communication. Scale systems sustainably through automation and evolve systems by implementing changes that improve network reliability, security, and performance. Work cross functionally to drive Infrastructure as Code and GitOps pipelines, ensuring network configurations are deployed programmatically. Provide highly technical implementation and operational support in customer environments, including guidance on the implementation feasibility of cross product integrations. Google is an equal opportunity employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, identity, national origin, disability, age, etc. See Google's EEO Policy and related resources. English proficiency is required for all roles.

Google Inc. is seeking a Network Operations Engineer for its Hampshire location, requiring expertise in Linux Systems Administration and cloud network security. You will improve secure cloud platform network systems and automate processes to enhance reliability and performance. Successful candidates will have a Bachelor's degree in Computer Science, with at least 3 years of experience and proficiency in scripting and Kubernetes. This role is integral to driving automation within private networks, supporting cross-team integration in a dynamic environment.

Google Inc. is hiring a Software Engineer III for Google Play Protect in London, UK. This role involves developing cutting-edge technologies, participating in design reviews, and enhancing Android applications. The ideal candidate should possess a bachelor's degree, with at least 2 years of software development experience and expertise in Android development. Join a versatile team to innovate on a global scale.

Software Engineer III, Google Play Protect (Android) Google London, UK Qualifications Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with Android application development. Preferred qualifications: 2 years of experience with data structures and algorithms. Experience in Machine Learning. Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

corporate_fare Google place London, UK ; Berlin, Germany ; +2 more ; +1 more Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Berlin, Germany; Munich, Germany. Bachelor's degree in Computer Science or equivalent practical experience. 3 years of experience building machine learning solutions and working with technical customers. Experience designing cloud enterprise solutions and supporting customer projects to completion. Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design. Preferred qualifications: Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience with deep learning frameworks (e.g., TensorFlow, XGBoost). Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce). Understanding of the auxiliary practical concerns in production machine learning systems. About the job The 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. As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work closely with product management and product engineering to build and constantly drive excellence in our products. In this role, you are the Google engineer working with Google's largest and most motivated Cloud customers. Together with the team you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Germany: €100000 - €102000 (EUR) + 15% bonus target + equity + benefits Learn more about benefits at Google . Be a trusted technical advisor to customers and solve complex machine learning challenges. Coach customers on the practical challenges in machine learning systems feature extraction and feature definition, data validation, monitoring, and management of features and models. Work with customers, partners, and Google Product teams to deliver tailored solutions into production. Create and deliver best practice recommendations, tutorials, blog articles, and sample code. Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

The Google Cloud Consulting Professional Services team guides customers through critical cloud moments, helping them transform their business with Google's data centers, TensorFlow, and Vertex AI. You will design and implement ML solutions, identify opportunities to apply ML in customer use cases, and travel to customer sites to deploy and educate teams. You will collaborate with product management and engineering to drive best practices, data migration, and capacity planning across engagements,

Google Inc. is hiring a Software Engineer in Greater London to develop next-generation technologies. In this role, you will lead mobile application development, collaborating with cross-functional teams and mentoring junior engineers. Candidates should have a Bachelor's degree and extensive experience in software development and iOS application development. Knowledge of AI tools and leadership experience is preferred. Google fosters a diverse workplace and is an equal opportunity employer.

Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products. 5 years of experience with iOS application development. 3 years of experience with software design and architecture. Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Knowledge of AI systems and tools and experience leveraging AI tools to enhance personal productivity. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Health Platforms and Devices team builds innovative products and services that help our users live longer, healthier lives. We bring together the best of Google technologies and AI, health behavior science, and user-centered design to help users organize the health and wellness data, get insight from it, and take action toward their health goals. We do this with a suite of apps, services, and health wearables. We aim to make consumer health more personal, proactive, and actionable. Responsibilities Write and maintain high-volume mobile applications and software solutions, developing prototypes to quickly test new concepts. Lead the design of major mobile components and features, ensuring they are both scalable and maintainable. Implement unit and integration tests while adhering to mobile architecture best practices to ensure high software quality. Guide and mentor junior engineers within the team and across the broader organisation. Collaborate with cross-functional teams to deliver new products and features while managing project priorities and deadlines. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

corporate_fare Google place London, UK Required qualifications Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. 5 years of experience with software development using Python or similar coding languages. Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. Experience taking production grade AI driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform). Experience leading technical discovery sessions with customers. Ability to communicate in French or German fluently as this is a customer facing role that requires interactions in French or German with local stakeholders. Preferred qualifications Master's degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self reflection, hierarchical delegation). Experience in a post sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost per request) and techniques for optimizing state management and granular tracing. About the job As a Forward Deployed Engineer (FDE) in the Google Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production grade reality within customers. Unlike traditional advisory roles, you will function as an innovator builder, moving beyond high level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. This role is designed for high agency engineers with a founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state management issues that prevent AI from reaching enterprise grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real world field insights into Google Cloud's future product roadmap. It's an exciting time to join Google Cloud's Go To Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production grade agentic workflows (e.g., multi agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. Build high performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co build with pre sales and product teams to instill Google grade development best practices, ensuring long term project success and high end user adoption. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Google Inc. is seeking a Forward Deployed Engineer in Greater London. This role involves developing and deploying AI-driven solutions, bridging the gap between cutting-edge AI products and production reality. Candidates must have a Bachelor's degree plus 5 years of experience in software development with Python. The successful candidate will architect solutions on Google Cloud, work closely with customers, and ensure successful AI application deployment. Proficiency in French or German is essential due to client interactions.

Google for Education, Solutions Engineer Google London, UK ; Stockholm, Sweden Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Stockholm, Sweden. Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Bachelor's degree or equivalent practical experience. 8 years of experience in technical sales, sales engineering, education technology, or related fields. Experience with software as a service and web technologies. Preferred qualifications: 5 years of experience in sales engineering/technical consultancy. Experience supporting technology adoption and change-management initiatives with customers. Experience with AI/ML technologies and their application in education. Understanding of the higher education sector, including its unique challenges and decision-making processes. About the job Google is dedicated to transforming the future of learning and research through the power of artificial intelligence. Our Gemini family of models represents a pivotal moment in this journey, offering unprecedented opportunities to empower students, educators, and researchers worldwide. Our Education GTM Team is dedicated to bringing the best of Google to higher ed customers, and we are hiring business representatives that meet this transformational moment. As a Solutions Engineer for Google for Education, you will be at the forefront of driving the adoption of Gemini, our AI, within the higher education sector. You will be responsible for developing and executing the technical go-to-market strategy for Gemini. Your primary objective will be to foster meaningful adoption that demonstrates the transformative value of Gemini for teaching, learning, and research within top universities and colleges. A conversational AI tool that enables users to collaborate with generative AI and help augment their imagination, expand their curiosity, and enhance their productivity. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Sweden: kr - kr (SEK) + 15% bonus target + equity + benefits Learn more about benefits at Google. Identify customer business and academic requirements to design and architect solutions that integrate Gemini into their existing infrastructure. Act as a technical converter for Gemini, promoting its capabilities in customer-facing meetings, workshops, and public events. Work closely with our Product, Engineering, and Business teams to provide customer feedback, influence the product roadmap, and stay ahead of industry trends. Prepare and present compelling demonstrations of Gemini and address technical questions that arise throughout the sales and adoption process. Take responsibility for technical aspects of solutions to include activities such as bid responses, product and solution briefings, partner training, proof-of-concept work, and the coordination of supporting technical resources. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Software Engineer III, Google Play Protect (Android) Google London, UK Qualifications Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with Android application development. Preferred qualifications: 2 years of experience with data structures and algorithms. Experience in Machine Learning. Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google Inc. is seeking a Software Engineer III for Google Play Protect in London. This role involves developing cutting-edge technologies to transform how users interact with applications, particularly on Android. Responsibilities include writing code, performing design reviews, and debugging software issues. The ideal candidate will possess strong software development skills and experience in Android app development, along with knowledge in data structures and algorithms. Join us to work on innovative projects that make a difference globally.

Google for Education is hiring a Solutions Engineer in London/Stockholm to drive Gemini adoption in the higher education sector. You will design and execute the technical GTM strategy, collaborating with Product, Engineering and Business teams to showcase Gemini's value to universities and colleges. You will lead demonstrations, address technical questions, and partner with sales for onboarding and adoption, shaping the roadmap for education customers while coordinating technical resources and

Program Manager, Google Arts and Culture Google London, UK Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Bachelor's degree or equivalent practical experience. 5 years of experience in executive support, outreach, or communications. 2 years of experience in program or project management. Experience managing cross-functional projects and senior stakeholder relationships. Experience working directly with executive leaders to drive objectives. Preferred qualifications: Experience creating external narratives and writing speeches. About the job A 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 Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. As a Program Manager on the Google Arts and Culture team, you will drive external momentum and foster relationships within the cultural and technology sectors. You will act as a strategic partner to the vice president and senior leads, ensuring that executive interactions are impactful, seamless, and aligned with long term communication goals. Responsibilities Support the development and execution of external engagement strategies for GAC leadership with partners, cultural leaders, and public policy executives. Shape and prepare high-quality briefings and coordinate logistics for GAC leadership for external engagements and strategic trips. Drive the development of narratives and other external communications for strategic GAC initiatives, including drafting speeches and high-stakes executive messaging. Liaison with internal teams and external partners to review and triage engagement requests, ensuring they align with strategic priorities. Manage partnerships, program lifecycles, establish and track program metrics, and identify opportunities to improve tools and processes for team efficiency. Identify and act upon strategic opportunities to position GAC leadership as thought leaders in the intersection of AI and culture. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Google Inc. is seeking a Strategic Partner Development Manager for their London office to foster partnerships and accelerate adoption of Google Cloud services. You will coordinate operations and serve as a vital connection between partner engineers and the Google Cloud Sales teams. This role requires extensive experience in partner management and AI/ML transformations. You will engage with cross-functional teams to drive effective partner solutions and streamline customer engagement. Google values diversity and is committed to providing equal employment opportunities.

Strategic Partner Development Manager, AI Pureplay, EMEA corporate_fare Google place London, UK Apply Requirements Bachelor's degree or equivalent practical experience 10 years of experience in partner management, business development, sales, or channel development in the technology industry Experience participating in or coordinating artificial intelligence and machine learning (AI/ML) technical transformations utilizing a forward deployed engineering (FDE) or embedded delivery model Preferred qualifications Experience launching partner products and solutions, including complex channel go-to-market motions such as multi-partner solutions, procurement through cloud marketplaces, and consumption-based solutions; experience planning and managing at strategic and operational levels Experience managing and growing technology partnership relationships with cross-functional teams internally and externally Experience interfacing with, and being a trusted partner for, C-level executives in partner companies Proficiency with Google Cloud AI offerings (e.g., Vertex AI, Gemini, ADK) and familiarity with modern multi-agent systems (e.g., LangGraph, CrewAI), coding agents, and open-source developer tool harnesses About the job As the Strategic Partner Development Manager, you will drive the recruitment strategy of new partners into the portfolio and accelerate their adoption of Google Cloud services. You will work across Google Cloud's Product Management, Engineering, Marketing, and customer-facing organizations to foster strong executive alignment with these partners, develop a co-innovation plan for new solutions and orchestrate the co-sell motion between Google Cloud and the partners' sales organizations. Responsibilities Coordinate day-to-day operations of capacity planning models to match scarce, high-value partner Forward Deployed Engineer (FDE) resources with high-stakes customer accounts, track engagement pipelines, manage staffing models, and monitor delivery milestones to safeguard co-sell and delivery excellence Support partner teams as they embed directly within enterprise accounts, helping them navigate complex customer environments and successfully bridge multi-agent orchestration with legacy corporate databases and hybrid architectures Drive the ground-level execution of commercial structures that accelerate time-to-value and Return on Investment (ROI) for the customer, scale business for the partner, and maximize platform consumption for Google Cloud Act as a critical touchpoint between partner engineers, Google Cloud Sales teams, and technology Leadership, gathering real-world field insights and technical bottlenecks directly from partner deployments, helping synthesizing feedback back to internal Cloud AI Product and Engineering teams Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Google London, UK is seeking a Technical Program Manager for Data Center Operations, Tooling and Telemetry. The role focuses on leading multi-disciplinary projects, delivering telemetry tooling, and driving operational excellence in data center environments. You will partner with engineering and operations teams to plan requirements, identify risks, and communicate with executives, while mentoring more junior team members. A strong background in facilities operations and BMS/SCADA is essential.

Senior Remediation Architect, Mandiant STS link Copy link corporate_fare Google place London, UK Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. link Copy link Bachelor's degree in Computer Science, Information Systems, Cybersecurity or a related technical field, or equivalent practical experience. 5 years of experience designing, evaluating, or leading enterprise security architecture programs and managing delivery teams. Experience applying advanced enterprise security controls, network engineering concepts, and identity management frameworks. Preferred qualifications: Relevant industry certifications (e.g., CISSP, CCSP, Google Cloud Certified Professional Cloud Security Engineer, or equivalent). Experience with threat modeling methodologies (e.g., STRIDE, PASTA) and application security perimeters. Proven experience managing project life-cycles, establishing scope boundaries, tracking engineering milestones, and delivering complex client reports on time. Direct experience building or securing AI/ML pipelines, utilizing AI security frameworks (e.g., OWASP Top 10 for LLMs, NIST AI RMF), or configuring secure cloud AI environments. Strong experience securing multi-cloud environments and reviewing Infrastructure as Code (IaC) templates. About the job Mandiant is seeking a highly technical Security Architecture Consultant with advanced communication, engineering, and end-to-end project management skills. In this role, you will be a trusted delivery partner for organizations undergoing massive infrastructure shifts or looking to validate their structural defenses against sophisticated threat actors. You will be comfortable managing technical projects, leading architecture workstreams, and translating deep technical details into clear business terms for management and engineering teams alike. Your ability to quickly parse complex network topologies, identify trust boundaries, and project-manage remediation blueprints will be essential to client success. Responsibilities Manage the primary engagement for security architecture reviews and design projects, meticulously defining project requirements, managing scope, tracking schedules, and coordinating deliverables to ensure successful project execution. Review, assess, and design secure enterprise-wide architectures across on-premises, cloud, and hybrid environments, providing advanced technical guidance on network segmentation, identity perimeters, and infrastructure hardening. Evaluate and advise on the secure deployment of modern workloads, specifically focusing on cloud-native ecosystems and the secure integration of Artificial Intelligence (AI) platforms and pipelines. Apply advanced security concepts to perform threat modeling on complex systems, identifying design flaws and providing actionable, structural recommendations to mitigate risk. Collaborate with and advise executive organizational and technical stakeholders, translating complex architectural risks into clear, strategic guidance to inform executive decision-making. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

link Copy link corporate_fare Google place Dublin, Ireland ; London, UK Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain. info_outline X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Dublin, Ireland; London, UK. Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience in cloud computing or a technical customer-facing role. Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP . Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. Experience leading technical discovery sessions. Preferred qualifications: Master's or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the job As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. You will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. Your role is designed for high-agency engineers with a founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity, by embedding with strategic accounts, you will serve a dual purpose: providing "white glove" deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud's future product roadmap. About the job As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. You will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. Your role is designed for high-agency engineers with a founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity, by embedding with strategic accounts, you will serve a dual purpose: providing "white glove" deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud's future product roadmap. It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Ireland: €150000 - €153000 (EUR) + 20% bonus target + equity + benefits Learn more about benefits at Google . Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment (ROI). Architect and code the "connective tissue" between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.