Cake 找工作

公司介紹 我們的客戶為台灣具代表性的證券公司，長期深耕數位金融與智慧投資服務，並積極透過資料治理與 AI 應用，打造新一代以客戶為核心的數位體驗。 近年持續推動數據平台化、AI 治理與個人化服務，已成功將數據轉化為實際的投資決策與客戶互動價值，是金融產業中少數能將數據治理真正落地的組織之一。 工作內容 規劃、建立並落實 資料治理（Data Governance）與 AI Governance 機制，確保 AI 應用的合規性與可持續性 主導 數據即服務（DaaS） 架構，推動數據平台化與跨單位數據共享 結合數位軌跡與客戶行為分析，發展個人化服務與精準客戶意圖場景 以業務目標導向規劃數據驅動的數位轉型，拓展數位金融生態圈 建立與管理客戶標籤體系，支援行銷、風險控管與服務優化 協助打造數據自動化 Pipeline 與視覺化 UI / UX，提升數據使用效率 帶領團隊或跨部門專案，推動數據與 AI 應用落地 使用的技術與工具 Python Oracle SQL Data Pipeline / Data Platform 客戶行為數據與標籤系統 （加分）TensorFlow、PyTorch、Hadoop （加分）Tableau、Power BI、JavaScript

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.Job Description Astera labs is seeking a skilled and motivated Data Scientist. This individual will play a pivotal role in identifying key data points for collection, developing strategies to accumulate data and deriving actionable insights an anomaly based on a solid foundation of relevant know-how. Also, will also be responsible for creating, testing, and deploying scripts and methods for data collection and analysis to support decision-making. The Engineer will collaborate with cross-functional teams to identify critical data sources to determine the most effective data collection strategies, will develop automated and scalable data collection pipelines, will ensure data quality, integrity, and consistency across all sources and may use AI techniques to refine the results toward failures predictions. Basic Qualifications Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field. Advanced degrees in data science or Machine learning / AI - Advance. Proficiency in programming languages such as Python, R, or MATLAB. Strong understanding of data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). Understanding of high speed interfaces such as Ethernet, PCI-E , WiFi. Experience with data visualization tools such as Tableau, Matplotlib, Graphana. Strong analytical and critical-thinking skills to identify patterns and outliers. Customer-obsession, Think and act with the customer in mind! Goal-driven, Self-motivated, be able to work independently and with teams with people around the globe. Entrepreneurial, open-minded behavior and can-do attitude. Required Experience Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). Machine learning and AI techniques and frameworks (e.g., TensorFlow, Scikit-learn). Proven ability to manage multiple tasks and meet deadlines. Preferred Experience Embedded Firmware development with C-language, scripting with Python or other equivalent programming languages. Master’s degree in a relevant field. Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing. Familiarity with big data technologies (e.g., Hadoop, Spark). Knowledge of engineering design tools and processes. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience. 1 year of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume). Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript. Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams. Preferred qualifications: Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments. Experience working with Big Data, information retrieval, data mining, or machine learning. Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow). Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments. About the jobAs a Data Engineer for the Enterprise Platforms team, you will play a vital role in building and maintaining the data infrastructure that fuels our product strategy. You will design, develop, and optimize data pipelines, ensuring data quality and accessibility for advanced analytics. Your technical expertise will enable the product team to leverage data-driven insights to optimize product feature adoption and performance and measure the impact of strategic initiatives. To accelerate the growth and market leadership of Enterprise Buying Platforms (DV360 and SA360), you will answer critical business questions and deliver actionable, data-driven insights that inform product and commercial strategy. The Enterprise Platform Data Science team provides quantitative support, market understanding and a strategic perspective to our partners throughout the organization, in close collaboration with the Ads Commerce Finance team.Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Responsibilities Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders. Design, develop, and maintain scalable and reliable data pipelines to collect, process, and store data from various data sources. Implement robust data quality checks and monitoring to ensure data accuracy and integrity. Collaborate with cross-functional teams (data science, engineering, product managers, sales and finance) to understand data requirements and deliver impactful data solutions. Optimize data infrastructure for performance, efficiency, and scalability to meet evolving business needs. 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. 5 years of experience in a client facing, technical consulting, or technical support role. Experience with cloud data migration. Preferred qualifications: MBA or Master's degree in Computer Science, or a related engineering field. 7 years of experience in technical client services. Experience designing and deploying large -scale distributed data processing systems with one or more technologies such as SQL server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, or MicroStrategy. Experience with reading software code in one or more languages such as Java, JavaScript, Python. Knowledge of AI/ML, Generative AI. Excellent communication, presentation, and problem-solving 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 Cloud Consultant for Big Data and Analytics, you will work with customers on critical projects to help them transform their businesses. You will provide management, consulting, and technical capabilities to customer engagements while working with customer executives and key technical leaders to deploy solutions via Google Cloud Platform. You will also work with key partners, serving accounts to manage programs, deliver consulting services, and provide technical guidance and best practice expertise.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 Manage and deliver successful implementations of cloud solutions, in collaboration with customer's technical leads, client executives, and partners. Act as a trusted advisor to decision makers throughout the engagement. Propose solution architectures and manage the deployment of cloud based data and analytics solutions, according to complex customer requirements and implementation best practices. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience. Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks or issues, and timelines for successful client outcomes. Work with internal specialists, Product, and Engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets. 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. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: Experience working with data science tools such as Jupyter notebooks, Open Telemetry, JMX and other monitoring solutions. Experience with Database optimizations - query and executor optimizations and Data lakes like Apache Iceberg, Apache Hudi, Delta lake, etc. Experience with OSS projects like Spark, Hive, Trino and in benchmarking and building custom benchmarks. Experience in developing Cloud or SaaS products. 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. Join the Google Cloud Dataproc team and build the next generation of data processing, combining the best of open source with Google's innovation. We are not just managing Apache Spark and Hadoop clusters; we are fundamentally accelerating big data. For engineers passionate about the future of data, you will be building an AI/ML-ready platform, leveraging native GPU support and specialized run times pre-packaged with PyTorch, TensorFlow, and RAPIDS, integrated with Vertex AI for ML Operations. This is where you architect the unified, open lake house of tomorrow, seamlessly connecting with formats like Apache Iceberg, Delta, Hudi and providing enterprise-grade security and scale that empowers the world's most demanding data scientists and engineers.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 Lead the development of next-generation features, positioning Cloud Dataproc as the preferred platform for Spark, Flink, Trino, and emerging cloud technologies. Define the road map for enhancing open-source technologies like Spark, Hive, Trino, Iceberg, Hudi, and Delta into Dataproc. Drive the design and implementation of Data Lakes and Lake Houses, including Apache Iceberg and Hudi along with ehnancing the performance and efficiency of open-source technologies within the platform. Develop and implement software solutions leveraging Google technologies for accelerated cluster setup, streamlined operations, and monitoring. Establish benchmarks to identify and resolve performance bottlenecks, ensuring Spark job certification. 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.This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, or equivalent practical experience. 6 years of experience in troubleshooting and advocating for customer's needs, triaging technical issues, or software development. Experience in creating content for technical audiences (e.g., developer documentation, industry white papers, Computer Science course material, or IT administration playbooks). Experience in writing, reading, and debugging code in one of the following: Java, C, C++, Python, or Go. Preferred qualifications: Experience in data analytics, warehousing, Extract, Transform, Load (ETL) development, data science or other Big Data applications. Experience with open source distributed storage and processing utilities in the Apache Hadoop family or workflow orchestration products. Experience in administering and querying data in distributed, columnar or analytic oriented databases or distributed data processing frameworks. Experience working with any public cloud services and infrastructure (e.g., Google Cloud Platform). Experience developing developer tools (e.g., automation, testing, debugging). Experience in crisis response or escalation management across multiple teams, with the ability to influence momentum of incident response for critical customer issues. About the jobThe High Touch Support team’s focus on solutions and customer-centric supportability helps avoid issues, build customer trust, enable customers continuous growth and success on Google Cloud Platform (GCP). As a Solutions Engineer, you will own the large and important customer issues in addition to help improve customer experiences. You will be a part of a Global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud. You will provide service to our most critical customers with complex environments, aiming to anticipate their needs, improve product performance, and enable customer success across complex environments. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes and documentation.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with customers on their production deployments to resolve issues and achieve product readiness and availability. Triage and manage technical escalations, platform outages, technical issues, and executive concerns. Develop an understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis. Serve as a consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud. Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production. 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 は、障がい者採用の取り組みを進めています。必要な条件/経験:学士号を取得していること（同等の実務経験でも可）担当地域のビジネス戦略 / セールス プログラムを立案、提案、実施し、ビジネスを拡大するメカニズムを開発した 10 年以上の経験直属の部下を持ち、人材管理に携わった 2 年以上の経験ノルマを達成するセールスチームの管理に携わった経験データ分析ソフトウェアまたはソリューションのプロモーションに携わった経験望ましい経験/スキル:学士号を取得していること（同等の実務経験でも可）業界屈指のビジネス インテリジェンス（BI）フロントエンド、データ分析ミドルウェア、またはバックエンド データ ウェアハウス テクノロジーに携わった経験データ分析技術スタックの知識（例: Hadoop / Spark ベースのデータレイク、カラム型データ ウェアハウス、データ ストリーミング、ETL、データ ガバナンス、予測分析、OLAP、データ サイエンス フレームワーク）Google Cloud のデータ分析サービスに関する豊富な知識（例: BigQuery、Looker、Dataproc、PubSub など）ビジネス アドバイザー兼データ分析のソートリーダーとして、最高データ責任者（CDO） / 最高責任者（CXO）レベルのステークホルダーに働きかけ、正しい方向へと導けることビジネスにおける的確な判断力と分析力があること。データに基づいて意思決定を行い、ステークホルダーを正しい方向へと導けることこの求人について本職種は、セールスチームを率いて、担当地域で Google Cloud アカウントを拡大するポジションです。経営幹部レベルの関係を構築し、Google のサービスとパートナーの価値提案をお客様のニーズに合わせることが求められます。見込み顧客の開拓、適格性の評価、部門横断型チームのオーケストレーションのほか、カスタマー エンジニアリング、パートナー管理、プロフェッショナル サービス、フィールド チームなどの適切なリソースを活用していただきます。複雑な契約を処理し、専門チームの一員として業務にあたります。Google Cloud は、あらゆる組織のビジネスと業界におけるデジタル トランスフォーメーションを加速させるとともに、Google のテクノロジーを活用したエンタープライズ クラスのソリューションと、デベロッパーがよりサステナブルに構築を行えるようにするツールを提供しています。200 以上の国や地域のお客様が、成長を可能にし、最も重大なビジネス上の問題を解決するための信頼できるパートナーとして Google Cloud を採用しています。業務内容セールス スペシャリストのチームを採用、モチベーションを高め、育成、主導し、年間および四半期の目標を達成し、さらに上回る。Google の幅広いセールス組織と連携して、スケーリングされた戦略を策定し、パイプラインを推進し、データ分析パイプライン全体の健全性を監督する。Google Cloud アカウントへのデータ分析の幅広い成長を確保する計画を立て、複雑な実装プロジェクトや契約において部門横断的なパートナーを管理する。お客様の経営幹部との関係を構築、維持し、長期戦略の方向性に影響を与えるとともに、アドバイザーとしての役割を担う。正確かつタイムリーなセールスおよびビジネス予測を行い、主要なビジネスの優先事項とイニシアチブについてチームと経営陣に定期的に最新情報を提供する。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 は、障がい者採用の取り組みを進めています。必要な条件/経験:コンピュータ サイエンスまたは関連する分野の学士号を取得していること（同等の実務経験でも可）。顧客対応担当またはサポート担当としてクラウド ネイティブなアーキテクチャに携わった 6 年以上の経験。顧客対応担当（プリセールス エンジニア、コンサルタント、プロフェッショナル サービスなど）に携わった 2 年以上の経験。データ マネジメント、ビジネス インテリジェンス アプリケーション（Tableau、PowerBI など）、データ処理（Informatica など）、分析プラットフォーム（Hadoop / Spark、Netezza、Teradata など）のいずれかに携わった経験。日本語による優れたコミュニケーション能力を備え、担当地域のお客様との関係管理をサポートできること。望ましい経験/スキル:コンピュータ サイエンスなど、技術分野の修士号を取得していること（同等の実務経験でも可）。アプリケーションの開発および統合、ソフトウェアとウェブ API の統合に携わった経験。プリセールス エンジニアとしてデータ ライフサイクルのポートフォリオを担当し、企業のビジネスを支援した経験。機械学習（ML）の価値についてお客様と検討した経験。この求人についてGoogle Cloud Platform チームの使命は、クラウドに組み込まれたテクノロジーをあらゆることに活用して、お客様のビジネスの変革と進化に貢献することです。Google のプロダクトは、インフラストラクチャからアプリケーション、デバイス、ハードウェアまで多岐にわたりますが、いずれもセキュリティ、信頼性、拡張性を重視して開発されています。このチームでは、さまざまな企業、教育機関、政府機関、デベロッパーなどの皆様に、Google のテクノロジーがもたらすメリットを活用していただけるよう取り組んでいます。急成長するこの業界の、起業家精神あふれるチームの一員として、お客様のニーズを把握するうえで重要な役割を果たし、あらゆる規模の企業がテクノロジーを活用して顧客、従業員、パートナーと連携を深めることができるようサポートしてください。Google Cloud は、あらゆる組織のビジネスと業界におけるデジタル トランスフォーメーションを加速させるとともに、Google の最先端テクノロジーを活用したエンタープライズ クラスのソリューションと、デベロッパーがよりサステナブルに構築に取り組めるツールを提供します。200 以上の国や地域のお客様が、成長を可能にし、最も重大なビジネス上の問題を解決するための信頼できるパートナーとして、Google Cloud を採用しています。業務内容信頼できるアドバイザーとしてお客様と関係を構築し、お客様の優先事項を特定して、データを活用したイノベーションに対するニーズを見極める。データと技術的課題を加味して、お客様のビジネス変革のストーリーを構築する。Google Cloud のデータ ソリューションを駆使した戦略を設計し、お客様にビジネス価値を伝え、導入の障害を排除する。エンタープライズのお客様による Google Cloud を活用したデジタル化を支援するチームをサポートする。入札レスポンス、プロダクトやソリューションのブリーフィング、概念実証、地域パートナーの調整のサポートを行う。同時に、技術的価値からのビジネス価値の創出に注力する。Google Cloud を有効活用するためのベスト プラクティスをお客様やパートナーに提案するとともに、包括的なソリューションの実装に必要となる統合戦略、エンタープライズ アーキテクチャ、プラットフォーム、アプリケーション インフラストラクチャについて提言する。お客様にとって価値あるプロダクトを見つけながら、Google Cloud のデータ プロダクトの利用を促進する。必要に応じてお客様のオフィスを訪問し、会議に参加する。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 では障がい者採用の取り組みを進めています。この職種では、必要に応じて、週末を含む、標準的な就業時間外に（またはシフト制で）業務を行うことが求められます。必要な条件/経験:科学、テクノロジー、工学のいずれかの学士号を取得していること（同等の実務経験でも可）。技術的なトラブルシューティング、お客様のニーズの社内への伝達、優先順位付け、またはソフトウェア開発に携わった 6 年以上の経験。技術者向けのコンテンツ（デベロッパー向けドキュメント、業界のホワイト ペーパー、コンピュータ サイエンスのコース教材、IT 管理のハンドブックなど）を作成した経験。Java、C、C++、Python、Go のいずれかで書かれたコードの作成、読み取り、デバッグを行った経験。望ましい経験/スキル:データ分析、ウェアハウジング、ETL（抽出、変換、読み込み）開発、データ サイエンス、その他のビッグデータ アプリケーションのうちいずれかに携わった経験。オープンソースの分散ストレージ、および Apache Hadoop ファミリーのユーティリティ、またはワークフロー オーケストレーション プロダクトを扱った経験。分散データベース、カラム型データベース、分析指向データベース、分散データ処理フレームワークのいずれかで、データの管理とクエリを実行した経験。パブリック クラウド サービスおよびインフラストラクチャ（Google Cloud Platform）に携わった経験。デベロッパー ツールの開発経験（自動化、テスト、デバッグなど）。複数のチームにわたる危機対応とエスカレーション管理に携わった経験があり、お客様の重大な問題に対するインシデント対応を加速させる能力があること。この求人についてハイタッチ サポート チームは、ソリューションとお客様中心のサポート体制に重点を置き、問題の回避、お客様からの信頼の構築、Google Cloud Platform（GCP）でのお客様の継続的な成長と長期的な成功を支援します。ソリューション エンジニアは、大規模かつ重要なお客様の問題に責任を持って対処するとともに、お客様のエクスペリエンスの向上を支援するポジションです。24 時間 365 日のサポートを提供するグローバル チームの一員として、お客様が Google Cloud への切り替えをスムーズに行えるようサポートしてください。この職種では、複雑な環境を持つ最も重要なお客様にサービスを提供します。お客様のニーズを予測し、プロダクトのパフォーマンスを向上させ、複雑な環境全体でお客様の成功を支援することが求められます。デバッグ、ネットワーキング、システム管理、ドキュメントの更新、場合によってはコーディングやスクリプティングまで組み合わせて、お客様の技術的な問題のトラブルシューティングに対応することも求められます。プロダクト、ツール、プロセス、ドキュメントを改善し、プロダクトをより導入、利用しやすくすることも業務の一環です。Google Cloud は、あらゆる組織のビジネスと業界におけるデジタル トランスフォーメーションを加速させるとともに、Google のテクノロジーを活用したエンタープライズ クラスのソリューションと、デベロッパーがよりサステナブルに構築を行えるようにするツールを提供しています。200 以上の国や地域のお客様が、成長を可能にし、最も重大なビジネス上の問題を解決するための信頼できるパートナーとして Google Cloud を採用しています。業務内容本番環境のデプロイに関してお客様と連携しながら問題を解決し、プロダクトの準備を進め、可用性を確保する。プラットフォームの停止、技術的な問題、経営幹部の懸念など、技術的エスカレーションをトリアージして管理する。お客様から報告された問題のトラブルシューティング、再現、根本原因の特定、ツールの開発、診断の迅速化を通じて、Google Cloud のプロダクト テクノロジーとその基盤となるアーキテクチャについて理解を深める。コンサルタント兼 SME（サブジェクト マター エキスパート）としてお客様および社内のエンジニアリング チーム、セールスチームに対応し、導入に関する技術的障害を解決するとともに、Google Cloud の改善を図る。お客様が抱える問題を把握し、お客様のニーズをプロダクト チームやエンジニアリング チームなどの社内チームに伝え、プロダクトの改善や生産性向上を図る。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.

Realize your potential by joining the leading performance-driven advertising company! As a Senior Backend Engineer on the RD Team in our Taiwan office, you’ll play a vital role in designing and maintaining the robust systems that power our backend systems. You’ll build scalable data pipelines and backend services that process billions of daily requests, directly impacting how millions discover content worldwide. To thrive in this role, you’ll need: 5+ years coding experience in Java or similar OOP languagesExpertise with relational and NoSQL databases (MySQL, Vertica, Cassandra, Google BigQuery..)Experience with distributed systems (Spring, Maven, Kafka, Apache Spark, Hadoop..)Deep understanding of core data structures, common algorithms and algorithmic complexity (Big O notation).Proven track record building and managing data pipelinesProficiency with version control systems such as Git, CVS, or Subversion Bonus points if you have: Experience with Kubernetes and containerizationKnowledge of workflow automation (Airflow) How you’ll make an impact:As a Senior Backend Engineer, you’ll bring value by: Designing and developing high-performance backend services and improve Taboola’s recommendation Ad Quality infrastructure. Building and optimizing large-scale data pipelinesWriting clean, maintainable code following best practicesConducting thorough code reviewsTroubleshooting and resolving system performance issuesCollaborating with cross-functional teams on technical solutions Why Taboola?If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about: Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture. Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda. Ready to realize your potential?Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need. Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, Twitter, YouTube, the Taboola Life Blog.