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【關於 Pinkoi Data Squad】我們是 Pinkoi 的資料團隊，其目標為打造有效的數據平台，同時確保資料的品質與穩定性，讓資料在 Pinkoi 發揮最大的價值。Data Engineer 將與 Business Analyst／ML Engineer 緊密合作，透過數據探索問題、規劃後續的 Data Pipeline（資料管線） 實作，並提供 End-to-end 的 Data Solution，以擴展公司各部門的數據分析能力，並完善整體商業智慧系統。你需要負責的工作內容與產品、行銷、廣告等分析師與商業團隊合作，理解需求並規劃合適的 Data Pipeline。設計、實作與維護 ETL/ELT 流程，確保資料品質、穩定性與新鮮度。建立與優化資料模型，支援報表、分析與機器學習等多種場景。持續迭代並優化資料基礎建設，提升可擴展性與維運效率。建立監控與告警機制，確保 Pipeline 成功率與資料 SLA。我們希望你有的經驗跟特質對 Big Data 和 Data-driven engineering 有極大的熱情。瞭解 ETL 或 ELT 的流程，並具備 Data Modeling 跟開發 Data Pipeline 的能力。具備與產品 / 行銷團隊合作的經驗，並可與商業分析師、資料工程師，以及機器學習工程師協同合作。樂於學習最新的技術，隨時充實自我的專業技能。對大型語言模型（LLM）保持開放與好奇，願意學習並嘗試將其應用於資料工程工作（如：資料清理、欄位補全、文件生成、自動化測試），以探索新工具如何提升效率與使用者體驗。應徵條件數學 / 統計 / 資訊 / 資料科學相關科系畢業，或具備同等專業能力。一年以上數據分析或數據工程相關工作經驗。熟悉 Python、Scala、Java 等任何一種程式語言，Pinkoi 主要用 Python。熟悉 GNU/Linux 系統，Pinkoi 用 Ubuntu。熟悉關聯式資料庫的運用，例如 MySQL。加分條件熟悉廣告歸因邏輯，或具備相關數據處理經驗。具備使用者行為數據處理經驗。具有操作或架設 BI 工具的相關經驗。如 Superset、Tableau、Looker Studio，Pinkoi 使用 Superset 和 Redash。具有分散式運算的相關知識，例如 Spark、Hadoop、Hive 等一種或多種相關技術，Pinkoi 主要用 PySpark。熟悉雲端服務，例如 AWS Athena、S3、Glue，GCP BigQuery 等，Pinkoi 主要用 AWS。了解 dbt 的基礎架構和應用方式，如建立資料模型、撰寫測試、建立巨集等等。有將 LLM 應用於資料工程場景的經驗，例如規則抽取、欄位對齊與補全、文件／Data Catalog 生成、資料品質檢查等。＃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與小作業，即刻應徵！

工作內容： 1. 開發暨維護大台北地區企業客戶需求，確保營收持續增長並創造更高業績。 2. 提供企業客戶專業的顧問式服務，協助挖掘痛點，導入提升營運效率及創新商轉之技術應用，包含軟體與硬體整合，資通訊解決方案（ICT）、物聯網（IoT）、雲端（Cloud）、數據分析（Big Data）、使用者導向、使用情境、應用規劃等，執行整合概念之銷售模式，提供企業客戶完整的解決方案。 職務優勢： 1. 培養及建立各界人脈及產業解決方案規畫經驗 2. 保障底薪、高額業績獎金、交通及交際費補助、電話費補助、免費汽機車停車位 【了解遠傳企客服務】 https://enterprise.fetnet.net/content/ebu/tw/index/products-solutions.html 【加入遠傳 成就大人物】

Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. Experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Preferred qualifications: Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems. Experience in understanding customer requirements with the ability to break down requirements and design technical architectures. Experience in technical business or consulting in cloud computing, data analytics, or Big Data. Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures. Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, engaged dynamics and customer buying behavior. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Customer Engineer, you will partner with technical business teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will use your experience and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.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 Support local business teams in pursuit of key business opportunities, engaging customers to address aspects of the data lifecycle. Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements. Take responsibility for leading technical projects, including such activities as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources. Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Travel as required. Prepare and deliver product messaging in an effort to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers and request for information (RFI) response documents. 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.

【公司描述】 我們是一家全球領先的數字資產交易與支付科技公司，致力於打造安全、高效的金融基礎設施。 目前，我們正在尋找資深數據工程師，負責獎勵與財務數據項目的開發與優化，與國際團隊合作，打造高效且可擴展的數據平台。 【Company Overview】 A global leader in digital asset exchange and payment technology, committed to building secure and efficient financial infrastructure. The company is now hiring a Senior Data Engineer to drive development and optimization of data systems for rewards and financial operations. This role involves close collaboration with international teams to build scalable and reliable data platforms. 【職位亮點】 ✅ 年薪 USD $60,000–80,000，具競爭力的薪資與成長空間 ✅ 國際化團隊，與全球頂尖技術專家合作 ✅ 參與高併發、即時數據處理專案，發展大規模數據基礎設施 【Role Highlights】 ✅ Competitive salary (USD $60K–80K) with strong career growth ✅ Join a global team and work with top engineers from around the world ✅ Build high-throughput, real-time data infrastructure at scale 【職位職責】 🔹 數據平台與管道開發：設計與維護穩定高效的數據架構 🔹 數據倉儲建置與優化：支援離線與即時數據的儲存與檢索 🔹 大數據處理與轉換：使用 Hadoop、Spark、Flink 等技術 🔹 跨部門協作：與財務、獎勵、技術團隊合作，提供數據解決方案 【Responsibilities】 🔹 Design and maintain stable, high-performance data platforms and pipelines 🔹 Develop and optimize offline and real-time data warehouses 🔹 Process and transform large data sets using Hadoop, Spark, or Flink 🔹 Collaborate cross-functionally with Finance, Rewards, and Engineering teams to deliver data-driven solutions 【職位要求】 ✔ 3–8 年數據平台或數據工程經驗 ✔ 精通 Hadoop、Spark、Flink 等大數據工具 ✔ 熟悉 Python / Scala / Java 至少一種程式語言 ✔ 熟悉數據倉儲與 ETL（離線與即時）開發經驗 ✔ 有 Airflow 經驗者佳 ✔ 英文流利，能與國際團隊順利溝通 【Requirements】 ✔ 3–8 years of experience in data platform or pipeline engineering ✔ Proficient in big data tools: Hadoop, Spark, Flink ✔ Strong programming skills in at least one of: Python, Scala, or Java ✔ Solid understanding of data warehousing and ETL (offline real-time) ✔ Experience with Airflow is a plus ✔ Fluent in English with strong communication skills for working across global teams---------------------------------------------------------------------- 若您對此職位感興趣，請立即聯繫，讓我為您介紹更多詳細資訊！ ▶︎ 聯繫人：招募顧問 Owen Wu▶︎ LINE： https://line.me/ti/p/ICjS8Jx0Dq▶︎ LinkedIn： https://www.linkedin.com/in/owen-wu-1023a41a4/

MoMo is the leading mobile payments provider in Vietnam, committed to improving the lives of every Vietnamese through technological innovation. As our business continues to expand, we're looking for an experienced Data Engineer to join our Data Platform team.At MoMo, we emphasize smart, efficient, and excellent execution, with a strong focus on data quality. Our data platform delivers critical insights for:Business and app performance monitoringMachine learning products including recommendation systems, personalization, risk scoring, fraud detection, targeted promotions, and financial servicesWe're also building a next-generation hybrid data platform across multiple cloud providers, giving us greater control over both cost and technologyMô tả công việcWith MoMo's AI-first mission, we are designing and building a self-serve data platform to empower both internal teams and external partners. This platform allocates resources based on users’ needs to support:Ingesting data from diverse sources — either in batch or streaming, using both pull and push mechanismsDeveloping and deploying resilient data pipelines across the data lake, data warehouse, and streaming systemsDelivering high-quality, derived datasets to downstream tools such as BI solutions (e.g., Apache Superset, Google Data Studio), via multiple delivery methods including APIs, datasets, and streaming dataMonitoring data quality throughout all data pipelines in the platform to ensure high-quality data, resulting in better decision-making, accurate reporting, and reliable machine learning outputsTracking and optimising resource usage for efficiencyAdditionally, we are building Data Management Systems that enable the Data Governance team and data consumers to:Manage the full data lifecycle within the big data platformExplore the MoMo data ecosystem independentlyProvide a single source of truth with high data quality to downstream consumersTrack and manage infrastructure costs across major projects, teams, and departmentsYêu cầu công việcBachelor’s degree in Computer Science, Engineering, or a related fieldA problem solver with a strong sense of ownership and accountability — not just a task executor5+ years of experience working as a Data Engineer and 1+ year of experience working as leaderCurious and committed to lifelong learning, with a passion for solving business problems through engineering, improving service quality and usability, and maintaining a strong customer focusStrong foundation in computer science fundamentals, including data structures, algorithms, database systems, and data modelling techniquesProficient in at least one of the following languages: SQL, Python, JVM-based languagesExperience with databases such as PostgreSQL, MySQL, ClickHouse, DuckDB, etcSkilled in analysing, designing, implementing, and optimising Data Vault or Dimensional Modeling for performance and costHands-on experience with infrastructure platforms — cloud-based (e.g., GCP, AWS) or on-premise — and container orchestration using KubernetesExperience with data storage and processing engines like Apache Spark, Apache Flink, and StarRocksExperience with Google Cloud Platform or Amazon Web Services is a plus.

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 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 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 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.

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, Mathematics, or equivalent practical experience. 5 years of experience with two or more of the following: web tech, data/big data, SQL, BigQuery, systems admin, machine learning, networking, Kubernetes, Oracle, or SAP. Experience with coding in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go, JavaScript, etc.) and in virtualization and orchestration frameworks. Experience with Linux/Unix or other operating systems (e.g., Kernel to Shell, file systems, client-server protocols, etc.). Preferred qualifications: Experience with debugging, working on distributed applications or micro-services in a cloud based environment (e.g., Docker, Kubernetes, etc.). Experience in data analytics, warehousing, Extract, Transform, and Load (ETL) development, data science, or other big data applications. Experience with SQL database administration, open source software communities, cloud networking solutions, or distributed computing. Experience working in a dynamic organization with extensive cross-collaboration across functions. Experience in technical consulting on database design and architecture supporting large enterprise customers with high Service Level Objective (SLO) and Service Level Agreement (SLA) requirements. 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 Technical Solutions Engineer, you will own our large and important customer issues in addition to providing level two support to our other support teams. You will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud.In this role, 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. Our Technical Solutions team is driven by customers and you will help drive the success of Google Cloud by understanding and advocating for our customers’ issues.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 Develop an in-depth understanding of Google Cloud's data analytics (e.g., BigQuery) and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis. Act as consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Work as part of a team of engineers and consultants that globally ensure 24-hour customer support. Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, and drive high-quality production. Work with customers on their production databases. 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.

Minimum qualifications: 15 years of experience in software design and data structures and algorithms 5 years of experience serving as a technical leader for a software product built by teams Preferred qualifications: Experience in infrastructure security domain Experience building enterprise products at scale and engaging with enterprise customers Experience with inspiring and motivating geographically distributed teams to work together as a cohesive unit Experience in leadership helping vet, hire, and retain a strong bench of tech leads through collaboration with engineering leaders on the team Ability to collaborate closely and innovate with engineering and cross-functional teams (particularly product management and technical product management) across Google Cloud and other relevant product areas About the jobSecOps by Google Cloud is advancing cybersecurity for enterprises of all sizes. We are dedicated to helping companies find and stop cyber attacks before they cause harm. With our expertise in global-scale threat intelligence, large-scale cloud computing, and big data, we help our customers and partners identify and solve their most significant security challenges, sorting through exabytes of data to find and resolve the most pertinent threats that our customers face. The SecOps platform delivers the entire range of products and services necessary for enterprises to address their needs ranging from security analytics, response capabilities, and threat intelligence. In this role, you will partner with the Engineering Director, Product Director, and principal engineers for Google SecOps to scale the platform, support customers, and support more complex environments. You will lead architectural design, integrations with other Google Cloud Platform (GCP)/Alphabet services, and integrations with external partners, and you will optimize our ability to create quality new detections in response to the changing security landscape. You’ll focus on availability, security, and compliance of a global system protecting some of the largest enterprises and governments in the world. Stakeholders will include senior management, engineering leaders across GCP, and external partners, all of whose products and services regularly provide to and consume from your system. You will also work closely with customers to understand their requirements and help make them successful.You will support the growing scale of SecOps in India, spanning both security and distributed systems.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 Create and evolve long-term strategies for SecOps’ systems and infrastructure. Evolve SecOps architecture to support product features that span across multiple Alphabet products with a cohesive user experience. Drive innovation to make Google SecOps the leading security operations platform, leveraging capabilities across Alphabet. Formulate and realize complex technical outcomes in close collaboration with cross-functional partners and leads across the business unit. Build a strong bench of tech leads through support of hiring and mentoring in a wide variety of domains ranging from large-scale data processing, UI, enterprise integrations, and security engineering. 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.