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在 Pinkoi，工程師的任務是讓每個來 Pinkoi 的人都能擁有難以忘懷的使用體驗，你必需擁有極大的熱情，因為我們相信一個令人讚賞的網站服務，是由背後每一位工程師努力的追求卓越，每一個小細節都是 Pinkoi 非常在乎的事情！Pinkoi 致力於打造流暢且量身打造的探索與購物體驗，讓顧客輕鬆發現感興趣的商品、品牌與內容，並加深與平台的連結。同時運用創新的 AI 技術與深厚的產業知識，幫助品牌提升銷售業績、使規模快速成長，成為設計品牌邁向規模化、國際化不可或缺的重要夥伴。工作內容與挑戰維護和迭代網站底層架構，包括正式環境和開發環境，例如：CI/CD 流程、程式語言迭代、資料庫架構調整...等。協助建立與優化內部平台工具，提升開發者體驗。設計與維護監控、告警與可觀測性（logging / metrics / tracing）。產出高品質、穩定、可維護且可讀性高的程式碼，並養成良好的自動化測試習慣。能夠順暢地與各種領域的夥伴溝通合作，例如前端工程師、後端工程師、App 工程師、資料工程師等。擁有快速辨識系統問題的能力，並且能夠確實修復問題。持續改善系統架構、效能與穩定性，並樂於撰寫技術文件、分享知識，提升產品開發體驗。持續研究並導入新技術（如 Cloud Native 工具、AI 輔助開發）與創新想法，並評估其在實際環境中的落地與價值，創造更大的影響力。我們希望你有的特質充滿熱情，你想要做出世界級一流的產品。樂於學習，對於新技術抱有好奇以及開放的態度。良好溝通，能夠清晰地和 Pinkoi 的夥伴們溝通你的想法。主動積極，能發掘系統上的不足或可以更好的地方，並提出改善作法。自我要求，具備高標準、時限觀念和責任感。應徵條件有 2 年以上後端開發經驗，具備開發與維護系統的能力。具備良好的程式基礎，並樂於持續精進（Pinkoi 主要使用 Python，但我們歡迎任何程式語言的使用者來應徵）。對資料庫、資料結構以及演算法有基礎的理解，知道它們如何影響你的程式效能。對 Linux 作業系統有基礎的理解，特別是針對 Process 跟 Thread 的部分。熟悉 container 相關技術（例如：Docker、Kubernetes）。加分條件應用程式效能校調相關經驗。具備 Observability 相關經驗（Prometheus, Grafana, OpenTelemetry）。熟悉使用如 MySQL、Elasticsearch、Redis 等常見服務，並了解在設計與開發中需針對其分散式特性（如一致性、可用性、效能瓶頸）做出相應考量。熟悉以 LLM 工具輔助開發，並整合至日常工作中以提升效率與品質。熟悉雲端平台與基礎設施維運（AWS / GCP / Kubernetes / CI/CD pipeline）。熟悉 Cloud Native, Kubernetes 生態系（Helm, ArgoCD, Operators 等）。＃不用想了，趕快來當個 Pinkoi 人如果你有信心能夠勝任這份工作，歡迎提供你的個人履歷及小作業回答，即刻應徵！

About BTSE:彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms. 彼特思方舟 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market.BTSE Group is a leading global fintech and blockchain company that is committed to building innovative technology and infrastructure. BTSE empowers businesses and corporate clients with the advanced tools they need to excel in a rapidly evolving and competitive market. BTSE has pioneered numerous trading technologies that have been widely adopted across the industry, setting new benchmarks for innovation, performance, and security in fintech. BTSE’s diverse business lines serve both retail (B2C) customers and institutional (B2B) clients, enabling them to launch, operate, and scale fintech businesses. BTSE is seeking ambitious, motivated professionals to join our B2C and B2B teams.About the Opportunity:We are looking for a Senior Infrastructure Cloud Engineer to design, build, and maintain robust AWS-based cloud infrastructure that powers our mission-critical systems. You will champion Infrastructure as Code, automation, and modern DevOps practices to deliver scalable, reliable, and secure cloud environments. This is a hands-on technical role where you’ll collaborate across teams to drive operational excellence and innovation in our cloud platform.Responsibilities:Architect Build: Design and implement secure, scalable, and automated AWS infrastructure solutions.CI/CD Excellence: Maintain and enhance CI/CD pipelines using GitLab CI, ArgoCD, and related tools.Observability: Build and manage monitoring and logging stacks (e.g., CloudWatch, EFK, Prometheus, Grafana) to ensure system health and performance.Automation: Automate provisioning and configuration using Terraform/Terragrunt, Ansible, and GitOps workflows.Governance Resilience: Implement cloud governance, backup, disaster recovery, and cost optimization strategies.Collaboration: Partner with application and platform teams to support cloud adoption and ensure high availability.Incident Response: Troubleshoot incidents, perform root cause analysis, and drive continuous improvement.Documentation: Maintain clear, up-to-date architecture, operations, and automation documentation.Requirement:5+ years in cloud engineering, DevOps, or SRE roles.3+ years of hands-on AWS experience.Proficiency with Infrastructure-as-Code tools (Terraform, Ansible).Strong background in containerization and Kubernetes (EKS preferred).Solid experience with CI/CD and GitOps workflows (GitLab CI, ArgoCD).Hands-on experience with observability tools (EFK, Prometheus, Grafana).Strong understanding of cloud networking, IAM, and security best practices.Perks BenefitsCompetitive total compensation packageVarious team building programs and company eventsComprehensive healthcare schemes for employees and dependantsAnd many more! Apply and let us tell you more!#LI-JY1

About BTSE:彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms. 彼特思方舟 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market.BTSE Group is a leading global fintech and blockchain company that is committed to building innovative technology and infrastructure. BTSE empowers businesses and corporate clients with the advanced tools they need to excel in a rapidly evolving and competitive market. BTSE has pioneered numerous trading technologies that have been widely adopted across the industry, setting new benchmarks for innovation, performance, and security in fintech. BTSE’s diverse business lines serve both retail (B2C) customers and institutional (B2B) clients, enabling them to launch, operate, and scale fintech businesses. BTSE is seeking ambitious, motivated professionals to join our B2C and B2B teams.About the Opportunity:We are looking for a seasoned and proactive Solutions Architect to lead the design, implementation, and optimization of highly robust and scalable cloud infrastructure solutions. The ideal candidate possesses deep expertise in Amazon Web Services (AWS) and a proven track record of collaborating with business stakeholders, developers, and cloud engineers to successfully execute application modernization and cloud migration projects.Responsibilities:Cloud Architecture Development: Design, develop, and implement secure, scalable, and cost-efficient cloud solutions, with a primary focus on the AWS platform.Stakeholder Collaboration: Partner with internal or external cross-functional teams to translate complex business requirements into clear, actionable technical solutions.Automation Leadership: Drive infrastructure automation initiatives using Infrastructure as Code (IaC) tools like Terraform or Ansible.DevOps Security: Establish and enforce best practices for CI/CD pipelines, comprehensive monitoring, and cloud security.Mentorship Optimization: Mentor team members on best practices in cloud architecture and continuously fine-tune systems for peak performance and cost-efficiency.Requirement:Experience: 7+ years in cloud-related roles, including at least 4+ years of hands-on experience with AWS.Programming Skills: 2+ years of experience in programming with Python.Technical Depth:Strong expertise in AWS services, architecture patterns, and best practices.Proficiency in Terraform for Infrastructure as Code.Solid understanding of system monitoring, logging, and alerting tools.In-depth knowledge of DevOps practices, CI/CD pipelines, GitOps workflows, and containerization technologies (Docker, Kubernetes, Helm, ArgoCD, Istio).General Skills:Familiarity with networking concepts and advanced security best practices.Excellent problem-solving and communication skills.A proactive, initiative-taking approach to driving projects forward.Fluent in English and Mandarin for effective partner communication.Nice to HaveAWS certifications (e.g., AWS Certified Solutions Architect – Professional).Experience with hybrid cloud environments and multi-cloud strategies.Experience integrating and working with monitoring and tracing tools (e.g., CloudWatch, Prometheus, tracing frameworks).Perks BenefitsCompetitive total compensation packageVarious team building programs and company eventsComprehensive healthcare schemes for employees and dependantsAnd many more! Apply and let us tell you more!#LI-JY1

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience. 3 years of experience with systems automation, and with systems design and implementation. 3 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting). Preferred qualifications: 3 years of experience with software engineering in a cloud/infrastructure environment. Experience with on-premises/hybrid products. Knowledge of building and operating compute infrastructure. Understanding of cloud platforms, including architectural. Excellent problem-solving and investigative skills. About the jobSystems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter. 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 peer engineers and managers within Google teams to design, implement and test software tools, services and automation. Partner with internal cross-functional organizations and external vendors and partners. Contribute to customer advocacy by understanding user needs and helping to deliver solutions that meet customer needs. Support the team in maintaining and enhancing product, engineering, operational, and support excellence to ensure reliable and high-performance operations. Work closely with cross-functional teams (Program Manager, Technical Program Manager, Support) to ensure the timely delivery of new product initiatives. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience. 4 years of experience working in a hardware or power technical environment, or 3 years of experience with an advanced degree. Preferred qualifications: Master degree or PhD in power electronics, a related technical field, or equivalent practical experience. 5 years of experience in design, analysis/development. Experience with power system design and power converter design (e.g., AC/DC and DC/DC). Experience with power electronics fundamentals and power conversion designs for data center power delivery. Experience with power converter modeling and simulation. Ability to execute your own work with minimal supervision. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will manage projects in multiple areas with your expertise. You will also monitor the performance of vendors working on projects and evaluate new technologies.Our Platforms Infrastructure Engineering team designs and builds thehardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users.Responsibilities Innovate and design on rack and data center power conversion specifications and solutions, and investigate performance, cost, reliability, and availability trade-offs. Manage projects that involve new technologies or new uses of multiple existing technologies. Partner with power industry leaders to guide the evaluation and adoption of technologies. Engage cross-functionally to ensure successful roll-out, testing, and complete validation. Provide technical leadership and direction while troubleshooting system level power delivery issues. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 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 Engineering, Computer Science, or a related technical field. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Experience with Generative AI, Large Language Models (LLMs), or Machine Learning infrastructure, including model deployment, performance optimization, profiling, and debugging. Experience with distributed computing leveraging Graphics Processing Units (GPUs) or Tensor Processing Units (TPUs). Ability to solve ambiguous problems, and grow in a dynamic, changing environment where AI technologies are continuously advancing. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. In this role, you will lead a talented engineering team to drive the advancement of our AI infrastructure and software. You will serve as the crucial bridge between our users and our technology, translating customer issues into technical solutions that deliver real value. As the driver of team and project success, you will establish a clear technical goal and roadmap while simultaneously mentoring, managing, and expanding your team to ensure they have the exact skill sets needed to execute our goals.Responsibilities Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Develop the mid-term technical goal and roadmap within the scope of your team. Evolve the roadmap to meet anticipated future requirements and infrastructure needs. Design, guide, and vet systems designs within the scope of the broader area, and partner closely with cross-functional, cross-regional teams to ensure our AI/ML infrastructure delivers exceptional value and drives success for our customers. Lead the design and development of tools and software for our AI/ML Infrastructure to deliver end-to-end developer experience. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with programming in C++. 7 years of experience in building and developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage, or hardware architecture. 5 years of experience in a technical leadership role. 5 years of experience in a people management or team leadership role. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 5 years of experience with working in a matrixed organization. Experience with leading a team of engineers to build Artificial Intelligence (AI) infrastructure services. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Act as site lead to set and communicate team priorities that support the organization's goals. Align strategy, processes, and decision-making across teams. Set expectations with people based on their level and role and aligned to the organization's goals. Meet with people to discuss performance and development and provide feedback and coaching. Develop the technical goal and roadmap within the scope of the teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs. Oversee systems designs, and review product or system development code to solve problems. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, relevant 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, JavaScript). 1 year of experience with test automation development, test infrastructure development, workload regression testing. Preferred qualifications: Master’s or PhD in Computer Science or a related technical field. 5 years of experience in test automation and infrastructure development using C++, Python, or Go. Experience with test infrastructure development, dashboard creation, and data visualization tools. Ability to explore and propose technical solutions to automation challenges, particularly regarding workload regression testing. Strong commitment to quality and delivering results on schedule. Excellent problem-solving, consulting, and organizational skills. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The 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 channel 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 Develop, scale, and validate performance analysis infrastructure and measurement tools to ensure high-fidelity evaluation, data accuracy, and reliable regression testing across the fleet. Build and maintain comprehensive automation dashboards to provide real-time visibility into performance health and regression trends (data visualization). Triage regression failures and isolate components responsible for failure Enable automated execution for critical CPU, GPU, and TPU performance workloads to accelerate New Product Introduction (NPI) cycles. Scale benchmark coverage to include TPU/GPU NPI and Storage/Network System NPI. Partner with various cross-functional teams to drive systemic improvements to our performance automation and regression testing 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience. 5 years of experience with systems automation, and with systems design and implementation of software, or tool development. 5 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting), and with reliability of technical infrastructure. Preferred qualifications: 2 years of experience with software design and architecture, in a cloud infrastructure provider environment. Experience testing, maintaining, and launching software products/infrastructure. Experience with debugging, troubleshooting and diagnosing issues in complex distributed systems. Experience with compute technologies. Experience with low level system software, OS, firmware, low level networking, or hardware. Excellent system building skills. About the jobSystems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Contribute to the strategic goal for the Hybrid and On-premises Infrastructure business by assisting in defining, delivering architecture, and road map initiatives. Work with peer engineers and managers within Google teams and external partners to influence product and team road map. Contribute to customer advocacy by understanding user needs and help to deliver solutions that meet customer needs. Support the team in maintaining and enhancing product, engineering, operational, and support excellence to ensure reliable and high-performance operations. Work closely with cross-functional teams to ensure the timely delivery of new product initiatives. 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.

Google welcomes people with disabilities.Minimum qualifications: 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 working with embedded operating systems. 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 working in a complex, matrixed organization involving cross-functional, or cross-business projects. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 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. We develop system software that enables GPU-based AI/ML supercomputers in Google’s data centers, and thus empowering AI/ML innovations both for Google and Cloud customers.We design and develop the systems software and networking technologies for accelerator products containing Graphics Processing Units (GPU), Video Transcoders, and various combinations of those accelerators. Our execution covers the areas of system software integration, manufacturing testing, machine bring-up, data center deployment, resource management, security, virtualization and finally platform telemetry, monitoring and control.Responsibilities Lead and guide a team with a different technical portfolio that interacts with a large set of Google Services and Cloud teams, and cross-functional stakeholders. Set and communicate team priorities that support the broader organization's goals and develop the mid-term technical outlook and roadmap. Align strategy, processes, and decision-making across teams. Develop, integrate, test, deploy and debug the system software for GPU and other accelerator systems. Interact and integrate with a variety of software components including: board and chip firmware, linux kernel drivers, high speed interconnect bus firmware, hardware design, Google data center server management and monitoring stack, etc. Collaborate with hardware, manufacturing, data center operations team, cloud engineering, and other external partners to plan and execute the programs end-to-end, including product development, vendor engagement, manufacturing, and productivity 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.