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Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience troubleshooting and advocating for customers' needs, triaging technical issues, or software development. Experience writing, reading, and debugging code in Java, C, C++, Python, or Go, including working with distributed systems, solutions, design patterns, or best practices. Experience creating content for technical audiences and experience with web technologies (HTTP, HTML, DNS, TCP, etc.). Ability to participate in on-call rotation, including non-standard working hours, nights, weekends and holidays. Ability to communicate in English and Mandarin to support client relationship management in this region. Preferred qualifications: Experience with SQL/NoSQL database, open source software communities, Cloud networking solutions, or distributed computing technology (serverless, storage). Experience as a system/network administrator working with Linux/Unix systems, from kernel to shell, file systems, and client-server protocols. Experience with web or mobile app development, troubleshooting database issues, schema design, and SQL query profiling. Experience working with any public cloud services and infrastructure. 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 and helps to avoid issues, build customer trust, and enable customer's growth and success on Google Cloud Platform (GCP).In this role, you will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will provide a dedicated service to the customers, aiming to anticipate their needs, optimize product performance, and enable customer success. You will troubleshoot technical problems for customers with debugging, networking, system administration, updating documentation, and coding/scripting. You will make the 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 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 Work with customers on their production deployments to resolve issues and achieve product readiness and availability. 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 diagnosis. Act as 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. Participate in rotating on-call schedules including during nights, weekends and holidays, to ensure prompt resolution of customer-impacting technical challenges, as well as travel up to 15% in-region for meetings and onsite delivery activities as needed. 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 or equivalent practical experience. 5 years of software development experience. Experience with PostgreSQL or other databases, including database internals and administration. Experience in designing systems and building managed services for databases or storage. Preferred qualifications: Experience in C++ programming and SQL. Experience with query processing and query optimization techniques. Understanding of relational databases and database Internals. About the jobIn this role, you will contribute to Cloud SQL, the relational database offering from Google Cloud platform that supports fully-managed database service hosting of PostgreSQL, MySQL and SQL server databases. You will enable customers to deploy highly available databases with focus on simplicity, reliability, durability, and performance at scale.You will work on one of the fastest growing product lines under Cloud SQL is Cloud SQL Postgres, which offers a managed service based on the immensely popular PostgreSQL open source database. You will support the data foundation for a rapidly growing customer base ranging from startups to Fortune 500 enterprises. Your mission is to offer the best managed Postgres service and developer experience for the customers.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 Drive the technical enhancement and maintenance of the Cloud SQL Postgres service while actively contributing code and expertise to the open-source PostgreSQL community. Lead technical projects from planning to delivery while helping to define the team's long-term goal and engineering strategy. Collaborate with product managers, customers, and partner teams to define product roadmaps and contribute to broader GCP database initiatives. Foster an open, and innovative team culture while providing technical leadership in a fluid environment. 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.

Mempunyai dasar pengetahuan infrastruktur IT seperti server, network, database, aplikasiMempunyai dasar pengetahuan tentang LDAP, Active Directory atau Identity RepositoryMempunyai pengetahuan server windows dan linux merupakan poin tambahan yang baikMempunyai dasar pengetahuan programming (PHP atau Java)Mempunyai dasar SQL database query*Aplikasi untuk posisi ini akan dibuka pada 13 Mei 2026. Untuk saat ini, tombol “Apply” akan mengarahkan Anda ke landing page UMN Career Days 2026.

Google welcomes people with disabilities.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, Machine Learning, Systems Admin, Networking, Kubernetes. 5 years of experience reading or debugging code in one or more general purpose languages (e.g. Python, Java, Go, C or C++). Ability to communicate in Japanese and English fluently to communicate with external and internal stakeholders. Preferred qualifications: Experience with SQL database administration, open source software communities, cloud networking solutions, or distributed computing. Experience in data analytics, warehousing, Extract Transform and Load (ETL) development, data science, or other Big Data applications. Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience working in distributed applications or micro-services in a cloud based environment (e.g., Docker, Kubernetes). Experience working in a fluid environment with cross-collaboration across functions. Knowledge of Web application development/deployment, HTTP/RESTful API troubleshooting, or database design/troubleshooting. About the jobThe Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You solve the technical issues to show how our products can make businesses more collaborative. You work with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are important in helping Google grow its cloud business and helping companies around the world innovate.Responsibilities Develop an understanding of Google Cloud's Data Analytics (e.g. BigQuery), AI/ML, and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer reported issues, building tools, and diagnosis. Act as a 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 a part of a team of Engineers/Consultants that globally ensure 24 hour customer support. This may include a need to sometimes work non-standard work hours or shifts. Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, and drive production. Work with customers on their production deployment to resolve issues and achieve product readiness and availability. 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 development. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Preferred qualifications: Experience in building and maintaining data platform. Experience with databases and performance troubleshooting. Knowledge of observability products (e.g. Datadog, Prometheus, ELK, OTel etc.). About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. In this role, you will empower users to detect, understand, and optimize their databases through an easy, AI-powered experience. You will use AI/ML to provide “zero-admin” database management for enterprise users and developers. You will also deliver AI-assisted journeys for developer and database admin personas, including intelligent agents to monitor and troubleshoot the performance, health, and security of all Google Cloud Platform Databases.Additionally, you will help users manage their apps through Cloud Assist integrations. You will enable users to deploy and troubleshoot applications with one-click integrations that simplify the complexities of database and service layers.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 Design and deliver innovative products in the Database Intelligence Platform team to all Google Cloud Platform (GCP) wide Databases (DB’s). Provide thought leadership and collaborate with product and engineering teams to ensure high-quality and delivery of Data platform, AI Agents, MCP servers related initiatives. Work closely with the team, engage in design and code reviews to ensure best practices and foster a culture of continuous improvement. Collaborate with leads across all DB teams in GCP (i.e. Cloud SQL, AlloyDB, Bigtable, FireStore, MemoryStore, Spanner) and ensure alignment on technical direction. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in sales operations, management consulting, or a technical project management role, with a focus on process improvement. Experience with data analysis (e.g., SQL, advanced spreadsheets). Ability to communicate in English and Chinese fluently, to support client relationship management in this region. Preferred qualifications: Experience working with data sets, SQL database queries, and dashboarding (e.g., connect sales, business intelligence platforms or Tableau). Experience with Six Sigma, Lean, or similar methodologies for eliminating operational waste. Familiarity with business automation, or no-code automation platforms. Ability to identify and resolve operational challenges independently, with a focus on enhancing system efficiency through process improvements. Ability to translate technical data into strategic "so what" insights for non-technical stakeholders. Excellent stakeholder management skills, and the ability to influence sales teams to adopt new technologies and ways of working. About the jobThe Go-to-Market Operations (GTM) team ensures that Google's complex and ever-evolving ads business runs smoothly. We are instrumental in setting the go-to-market strategy and guiding execution and operations against the strategy. We stay focused on aligning the company priorities with day-to-day operations, while also helping to evolve early stage ideas into future-growth initiatives. We have teams embedded in each of the major Ads business areas, as well as global teams that work across the business areas.As a Sales Strategy and Operations Senior Associate, you will be the bridge between regional strategy and technical execution, working in direct partnership with sales leadership, and will lead the transition toward operations. You have a focus on operational excellence, with a dedication for continuous process improvement and identifying opportunities for innovation. You can distill complex business needs into executable automated workflows, partnering with the stakeholders to ensure our operations are as advanced as the products we sell. You will extract insights from the processes you have designed to support leadership decision making. You navigate between strategic planning and the technical details of our sales engine. You will evaluate existing workflows, extract insights from our data, and lead initiatives for continuous improvement.Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.Responsibilities Own a workstream in central strategic projects for Greater China and Korea (GCKR), ensuring they are delivered with velocity. Design and run business-critical processes using advanced metrics to track performance. Report on data and build the systems, including automation, that improve it. Support regional roll-out of sales tools and automated workflows, ensuring adoption, and identifying opportunities for custom local optimizations. Collaborate with APAC and Global GTM teams to pilot and implement central projects, serving as the GCKR expert. Challenge the status quo by proposing alternatives to legacy manual operations. 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: BTSE Group is a global leader in fintech and blockchain technology, anchored by threecore business pillars: Exchange, Payments, and Infrastructure Development. Servingover 100 corporate clients worldwide, we provide white-label exchange and paymentsolutions. Our offerings encompass everything from exchange infrastructure hostingand development to custody, wallets, payments, blockchain integration, trading, andmore.We are looking for talented professionals in marketing, operations, customer support,and other departments. The roles offered may be on-site, remote, or hybrid, incollaboration with our local partner. About the opportunity: We're building an AI-powered research platform for institutional investors. Our platform turns vast amounts of market, alternative, and proprietary data into actionable intelligence — powered by AI agents that depend on clean, reliable, real-time data to do their job. We need someone to own data. Not manage a team that does data. Own it — from finding the right sources, to getting them flowing, to making sure they stay healthy at scale. Today we ingest from hundreds of sources. That number is growing fast. The sources are diverse: real-time market feeds, regulatory filings, on-chain blockchain data, news, social sentiment, alternative datasets, and proprietary client data. Some are free APIs. Some are $10K/month enterprise contracts. Some are clients pushing their own data into our platform. Every one of them is different, and most of them will break in ways you don't expect. You'll evaluate vendors, negotiate deals, build integrations, monitor quality, track costs, and make the call on what's worth paying for. When something breaks at 2 AM, you'll know why before the alert finishes firing. This is an end-to-end ownership role. No handoffs.ResponsibilitiesBuild and maintain integrations with a large and growing number of external data sources — APIs, WebSockets, file drops, streams, scrapers, and formats you haven't seen yet Evaluate and compare data vendors across quality, reliability, coverage, cost, and terms of service Negotiate contracts and manage commercial relationships with data providers Design and operate high-throughput ingestion pipelines handling mixed workloads (real-time, near-real-time, batch, event-driven) Build monitoring that tells you — before anyone else — when data is late, wrong, incomplete, or drifting Manage data quality at scale: anomaly detection, cross-source validation, schema drift detection, gap filling Handle both structured data (time-series, tabular) and unstructured data (documents, text, images) with appropriate extraction and storage Track costs per source, usage per consumer, and ROI — recommend what to keep, upgrade, or cancel Build tooling that makes adding the next data source faster than the last one Use AI tools aggressively in your daily work — for code generation, testing, documentation, anomaly analysis, and anything else that makes you fasterRequirements**You've done this before:**- 5+ years building data pipelines that run in production, 24/7, with real SLAs- Deep hands-on experience with SQL databases and time-series data- Python as your primary language, comfortable with async programming- You've integrated with dozens of external APIs and dealt with the reality of unreliable vendors, changing schemas, rate limits, and bad documentation- You've built monitoring and alerting for data systems — not as an afterthought but as part of how you work **You think about the whole picture:**- You don't just connect to an API. You think about what happens when it goes down, when the schema changes, when the data is wrong, when the bill doubles- You understand that data has a cost and a value, and not every source is worth keeping- You've worked with data vendors commercially — contracts, pricing tiers, usage negotiations **You use AI daily:**- AI coding tools are part of your workflow today, not something you're curious about- You can articulate specifically how AI makes you faster and where it doesn't help- You'd be frustrated if you couldn't use AI in your workNice to haveExperience with financial or crypto market data Experience with streaming systems (Kafka or similar) at scale Vector database or embedding pipeline experience Experience with unstructured data extraction (PDFs, documents, NLP)Perks BenefitsSenior individual contributor role with full ownership of the data domain Direct access to leadership — no bureaucracy, fast decisions AI tools provided and encouraged across all work Remote-friendly, async-first Compensation commensurate with experience#LI-MC1

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India.Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 5 years of experience reading or debugging code with one of the following: Java, C, C++, .NET, Python, Shell, Perl, or JavaScript. Ability to communicate in English fluently to support client relationship management in this region. Preferred qualifications: Experience using techniques such as packet capture/packet analysis, artificial packet creation, load testing, and traffic path analysis to troubleshoot network latency, packet loss, and other performance issues at the packet level. Experience with any of these cloud solutions: SQL database administration, Google App Engine, open source software communities, Cloud networking solutions, or distributed computing technology. Experience implementing, administering, and troubleshooting network infrastructure devices. Knowledge of networking fundamentals (TCP/IP, Routing, VPNs, VLANs, Peering, Load Balancing, etc.). Knowledge of Linux/Unix systems at a system/network administrator level. Knowledge of basic web technologies (HTTP, HTML, DNS, TCP, etc.). 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 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 Work as part of a team of Engineers/Consultants that globally ensure 24 hour customer support. This will include a need to sometimes work non-standard hours/shifts, and may include weekends as needed. Manage the customer’s problem through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Cloud Platform products. Act as a consultant and subject matter expert for internal stakeholders in Engineering, Sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Develop an understanding of Google Cloud networking technologies, including internal implementation details. Improve the supportability of Google Cloud networking technologies by working with product engineering teams, collaboration includes working with product engineering teams on product launches and to help product teams understand customer issues to improve existing products. 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.

【公司介紹】這是一家隸屬大型企業集團的知名品牌，長期深耕消費者服務與企業解決方案，近年正全面推動 AI 與數位轉型。公司擁有穩定的市場基礎與龐大的用戶場景，並積極將生成式 AI 導入多元業務流程與產品服務中。目前 AI / Data 團隊由 PM、DA 與 AI Engineer 組成，採用敏捷式開發 (Scrum) 協作模式，並直接獲得高層支持。團隊不僅負責技術研究，更著重於 將 AI 真正落地到產品與商業流程，讓工程師能直接參與從架構設計到應用場景落地的完整過程，對產品與決策產生實際影響。若你期待在穩定資源環境下，挑戰真實商業場景中的 AI 應用，這會是一個能發揮技術價值與影響力的機會。 【工作內容】• 設計與開發 LLM 驅動的 AI Agent 系統架構與核心模組• 建立任務規劃、記憶管理、工具調用與流程執行等 Agent 能力• 利用 Google ADK / Vertex AI 等平台打造具備推理能力的 AI 系統• 建構並優化 RAG（Retrieval-Augmented Generation）架構，降低模型幻覺並提升知識準確度• 整合 Function Calling、Skills 等技術，建立具上下文理解與知識注入能力的智慧系統• 建立 LLM / Agent 評估機制與自動化測試工具，持續提升系統品質與可靠度• 推動 AI 在搜尋、客服、自動化分析與數據流程等場景的應用落地 【使用技術】• Python• SQL / Database Design• RESTful API• LLM Application Development• RAG Architecture• AI Agent Systems• Prompt Engineering 加分技術：• GCP（Vertex AI / Google ADK）• Vector Database（Pinecone / Weaviate / Vertex AI Vector Search）• LLM Evaluation Framework（RAGAS / DeepEval / LangSmith）

工作內容:1. IoT 設備聯網、資料採集與自動化控制：- 使用工業自動化套裝軟體進行設備對接與資料整合。如OPC、MQTT、SecsGem...等。- 負責工廠自動化層的數據採集規劃，確保設備訊號準確傳輸至系統。2. 後端系統開發與客製：- 在套裝軟體平台上，根據客戶需求進行 Backend 客製化開發，實現特定的商業邏輯。- 參與工業系統開發、MES 開發、Web 開發。- 運用 C# / Python / SQL / JavaScript 等語言進行功能實作與資料庫互動 。- 建立單元測試 (Unit Test) 或整合測試腳本 (Integration Test)3. 軟體工程與專案執行：- 撰寫專案技術文件。- 使用 Git / ADO 等源碼管控工具進行版本控制 。- 採用 Agile (敏捷開發) 模式進行專案迭代 。- 協助現場測試及客戶售後技術支援 。Job Duties:1. IoT Device Networking, Data Acquisition Automation Control:- Utilize industrial automation software packages for device interfacing and data integration. For instances: working around with OPC, MQTT, SecsGem... etc.- Responsible for planning data acquisition at the factory automation layer to ensure accurate signal transmission to the system.2. Backend System Development Customization:- Perform custom Backend development on software platforms based on client needs to implement specific Business Logic.- Participate in the development of Industrial Systems, MES (Manufacturing Execution Systems), and Web applications.- Utilize languages such as C# / Python / SQL / JavaScript for function implementation and database interaction.- Create Unit Tests and Integration Tests.3. Software Engineering Project Execution:- Create project technical documentation, including Unit Tests and Test Scripts.- Use source code control tools such as Git / ADO for version control.- Adopt Agile methodologies for project iterations.- Assist with On-site testing and provide after-sales technical support to customers.