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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 Bigstack Bigstack builds next-generation cloud infrastructure platforms for enterprises and service providers. Our product line is a end-to-end cloud solution integrating: OpenStack (compute / networking / virtualization)Ceph (distributed storage)Rancher / Kubernetes / cloud-native technologies We focus on building sovereign, carrier-grade, and production-ready cloud systems. Role Summary We are looking for a Junior Infrastructure Engineer to join our infrastructure team. This role goes beyond traditional operations—you will: Write system-level code (C++ / Bash / Makefile)Debug production (L3) issuesLearn how large-scale cloud platforms operate internally You will work closely with experienced Tech Leads in a structured Agile environment. Responsibilities Infrastructure System Development Support development and integration of:OpenStack services (compute, networking, storage)Ceph distributed storageLinux-based infrastructure componentsAssist in implementing system-level features and improvements System-Level Programming Write and maintain:C++ code (system utilities / performance-critical components)Bash scripts (automation, deployment, debugging)Makefile-based build systemsContribute to:system toolingdeployment / upgrade workflowsperformance optimization Debugging Reliability Investigate system-level issues in:networkingstoragecomputeAnalyze logs, system behavior, and failure scenariosSupport L3 (production) issue investigation with guidanceImprove system stability and reliability Observability Monitoring Use monitoring tools to:collect system metrics (CPU, memory, IO, network)analyze system performance and behaviorAssist in:setting up alerts for abnormal system behavioridentifying performance bottlenecksSupport debugging by:correlating logs, metrics, and system events Collaboration Development Flow Work closely with:Infra Tech LeadBackend engineers (Kubernetes / API / orchestration)Participate in:story refinement (define details edge cases)sprint developmentcross-domain feature integrationFollow our engineering model:PM defines problemTech Leads define solutionEngineers refine and implement collaboratively L3 On-Call (with Mentorship) Participate in weekly L3 rotationResponsibilities during on-call:first response and triageinitial debuggingescalate to domain experts when needed What You Will Learn OpenStack internals (Nova, Neutron, etc.)Ceph architecture (RBD, cluster behavior)Linux system internals (process, IO, networking)System-level programming and debuggingObservability practices (metrics, logging, alerting)How to diagnose real production issues in complex systemsHow to build and operate a cloud platform Working Style Agile / Scrum-based developmentCollaborative refinement (PM + Tech Leads + engineers)Strong mentorship from Infra Tech LeadCombination of:codingdebuggingsystem analysisReal production system exposure (not sandbox-only work) Why join Bigstack Work on real cloud infrastructure systems, not just appsLearn from engineers experienced in OpenStack, Ceph, and KubernetesBe part of building carrier-grade and sovereign cloud platformsGain hands-on experience with production-scale systems One-line takeaway Build it. Observe it. Debug it. Understand it deeply

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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. 5 years of experience with cloud infrastructure. 5 years of experience in a technical role focused on AI infrastructure, GPU programming (e.g., CUDA, OpenCL) and optimization techniques. Experience building and operationalizing machine learning models. Preferred qualifications: Experience training and fine-tuning large models (e.g., image, language, segmentation, recommendation, genomics) with accelerators. Experience with performance profiling tools (e.g., TensorFlow profiler, PyTorch profiler, Tensorboard). Experience designing/architecting large-scale infrastructure farms for specialist Artificial Intelligence (AI) use cases. Experience with running Machine Learning (ML) Perf benchmarks, distributed training and optimizing performance versus costs. Experience with High Performance Computing (HPC) environments and contributions to open-source projects related to AI or infrastructure. Excellent communication, presentation, and teamwork skills. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Customer Engineer for AI Infrastructure, you will be the technical expert and trusted advisor for our customers, helping them design, deploy, and optimize AI solutions using cutting-edge hardware and software. Your focus will be on GPUs, accelerators (including FPGAs and ASICs), and Google TPUs. You will work closely with Sales, Product Management, and Engineering to ensure our customers achieve maximum value from their AI investments. You will be responsible for scaling and helping accelerate GCP AI Infrastructure business growth.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure. Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and bench-marking. Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. Travel to customer sites and events as needed. Be responsible for business growth and workload acceleration on AI infrastructure products and solutions for Google Cloud Platform (GCP). 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.

Minimum qualifications: Bachelor’s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 1 year of experience working with and testing multiple L2 and L3 networking protocols as well as troubleshooting automation. Experience with test methodologies, writing test plans and creating test cases. Experience in Network Test Automation, Programming, Coding (Python or Go). Preferred qualifications: Master's or PhD in in Computer Science, Electrical Engineering, or a related field or equivalent practical experience. 1 year of Experience with object-oriented programming languages, such as C++ or Python. Experience with testing or releasing networking products. Experience working with and testing multiple L2 and L3 networking protocols as well as troubleshooting automation. About the jobOur computational challenges are so big and unique we can't just buy our hardware, we've got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Networking Test Engineer you make sure that our massive and growing network is operating at its peak potential. You have hands-on experience with complex networking equipment, a deep understanding of networking protocols, test design and implementation chops and a background in IP network design. It's your job to make sure Google's cutting-edge technology can perform at scale. Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.Responsibilities Identify and report bugs, including escalating complex issues to senior engineers or managers. Develop and execute test plans, including contributing to the hardening of device hardware and software by developing automated scripts and running regression on existing Google platforms. Manage testing and releases of networking products, including managing timelines and project plans. Write and review test plans with teams, including identifying and gathering requirements to test networking features of a moderate to high-complexity project, participate in cross-functional reviews with related teams which cover test plans and test results. 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.

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 Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience. 14 years of experience in financial planning and analysis (FPA), consulting, or a related function, or an advanced degree. Experience executing full-cycle financial planning and analysis functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting. Experience building, developing and leading a team. Experience with SQL. Preferred qualifications: Experience partnering with executive leadership and cross-functional stakeholders to drive alignment and execute initiatives. Experience in financial modeling and business case development, with a track record of driving data-driven decision-making. Experience at a strategy or boutique consulting firm, demonstrating a high degree of professional excellence and problem-solving. Knowledge of supply chain operations, specifically within the semiconductor or hardware industries, including a technical understanding of server components and assembly. Ability to synthesize complicated analysis and logic into clear, concise, and actionable solutions for different audiences. About the jobTechnical Infrastructure (TI) is the foundation of Google - the global data centers, networks and integrating hardware and software that powers both our unique customer products and services and our internal operations. As a Senior Finance Manager and business partner to several of TI’s executive leadership team, you will manage major elements of Financial Planning and Analysis’ support of this critical and complex business area. You will have strong financial leadership spanning planning, process and risk management, control, opportunity identification and analytics. Additionally, you will have a strong track record of success operating as a leader and influencing complex businesses.The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.Responsibilities Partner with the Global Commodity Management (GCM) and Integrated Planning (IP) teams to lead the annual planning process, providing the subject matter expertise needed to drive targeted investment decisions. Direct comprehensive financial reviews and inventory forecasting for executive leadership, ensuring alignment between operational goals and financial performance. Design and implement key performance metrics and automated analytical tools to streamline reporting and provide a clear view of global operational health. Manage end-to-end financial cycles, including capital expenditure/operational expenditure forecasting and spend approval processes, to maintain fiscal discipline. Lead cross-functional initiatives to automate data workflows and scale process improvements, transforming complex analysis into clear, actionable executive insights. 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.

1. Data Analytics Problem SolvingAnalyze operational and network data (volume, capacity, productivity, cost) to identify gaps and improvement opportunities.Develop simulation or capacity models to support decision-making on network expansion, warehouse layout, and space utilization.Prepare data-driven business cases for infrastructure investment.Provide insights to optimize hub/SOC performance and long-term infrastructure planning.2. Logistics Solution DesignCollaborate with Operations, OPEX to design optimal Logistics solutions to enhance First-Last Mile Hub Capacity Efficiency.Translate operational requirements into practical solution design and equipment solutions.Evaluate and propose logistics innovations that improve efficiency, reduce cost, and enhance workplace safety.3. Project Management ImplementationLead end-to-end infrastructure projects — from planning, budgeting, execution, to handover.Coordinate with internal stakeholders (Ops, HSE, Procurement, Landlord, Vendor) to ensure project delivery on time and within budget.Manage maintenance and renovation projects with structured assessment, vendor evaluation, and implementation tracking. 

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.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software engineering, test automation, or network engineering. Experience managing and operating ethernet switches in an ISP environment. Experience developing software applications using C++ and Python. Experience leading and managing engineering teams. Experience with data center networking. Preferred qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field. 12 years of experience in software networking, specially data center networking domain. Understanding of networking concepts (e.g., TCP/IP, routing, switching). Excellent communication, collaboration, and leadership skills. 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 Switch Infrastructure team designs, develops, tests, and deploys the switch hardware and software for the networks inside Google's massive data centers and the private backbone connecting them worldwide. Our work enables and supports all major Google services, including Search, YouTube, Gmail, Google Cloud Platform (GCP), and the rapidly growing AI/ML infrastructure like Gemini.Our mission is to build exceptional, industry-aligned switch software that advances Google's network infrastructure for scalability, agility, reliability, and innovation, with a strong focus on supporting AI/ML demands.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities Lead, mentor, and grow a team of engineers responsible for the testing and validation of Google's network switch stack and infrastructure. Define and drive the strategy, roadmap, and execution for network test engineering, automation, and infrastructure. Collaborate with cross-functional teams (e.g., Development, SRE, Product Management) to ensure high-quality network deployments. Oversee the design, development, and maintenance of test frameworks, tools, and testbeds. Ensure comprehensive test coverage, including functional, performance, scale, and integration testing. Manage project priorities, resource allocation, and timelines. Drive best practices in software development and test engineering within the team. Foster a culture of innovation, collaboration, and engineering excellence. 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.