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我們的研發團隊正在尋找充滿熱情與創新的研發工程師！如果你對於新技術研發充滿好奇，看到問題就想寫程式來解決，那麼這個機會正是為你量身打造的。 研發部任務： 功能創新：積極參與功能規劃與創新，不斷推動技術進步。流程改善：工作流程改善，移除多餘階段。性能提升：致力於系統效能優化，確保使用者獲得最佳體驗。系統維護：持續優化與維護現有內部系統架構，保障系統穩定。 研發部在幹嘛：https://gamma.app/docs/-km76anm6whz1jjb獎勵機制：年終績效分紅獎金，每年有調薪機會。 我們在用的 Tech Stack： 後端：PHP (Laravel) 前端：Vue 資料：MariaDB/MySQL、Redis、BigQuery 版控：gitServ：Nginx、Linux、Docker、Kubernetes 雲端：AWS、GCP 我們期待你的加入，如果你具備： CS 知識有一定的理解。兩年以上程式開發經驗，熟悉 PHP。理解 MVC 架構，特別是 Laravel 框架。SQL資料庫。Linux 操作。git、Docker。使用 AI 工具協助開發經驗。 加分條件： 大學／研究所畢業資工／電機／資管相關科系對程式語言沒有限制，會另外一種程式語言 python，javascript，或其他程式語言。喜歡自己研究新技術，看到問題就想用程式解。 ** 利用 AI 工具加速工作流。**參與技術社群與活動。 研發工程師成長 Roadmap： 初階/初心 依據研發專案需求，進行新技術的研究、開發與測試 設計並執行實驗，驗證技術方案與產品概念的可行性 與跨部門團隊協作，參與技術評估與需求分析 撰寫及維護技術文件與報告 中階/實踐 具備初階工程師所需能力，並額外具備 針對產品或系統架構提出技術方案與創新構想，並協助團隊落地實現 負責產品與系統的性能分析及優化 主導跨部門協作，推動研發計畫如期達成目標 高階/賦能 具備中階工程師所需能力，並額外具備 指導團隊成員與新進同仁，協助提升技術能力與專業素養 持續關注並研究前沿技術趨勢，發掘具商業價值的技術方向 推動創新產品或技術的開發與落地 我們提供豐富的資源與指導，幫助你在成長路上不斷進步。如果你準備好迎接挑戰加入我們的研發團隊，歡迎來聊聊！ 研發部工程師的真實日常：https://www.linkedin.com/feed/update/urn:li:activity:7353375467497750528Addcn LinkedIn ： https://www.linkedin.com/company/addcntw 【 夥伴福利 】 • 你/妳可以申請公費買進修相關的書藉、課程 • 每年學習進修補助 1 萬元 • 視表現調薪(正常情況一年至少1次) • 定期國內／國外員工旅遊，澳洲、泰國、日本、新加玻、馬來西亞 • 生日禮金、三節禮金、年終績效分紅獎金，希望我們的成長可以分享給你/妳更多 • 基本的勞保、健保、眷屬團保，一定要有，另有結婚補助、生育補助 • 週休二日，颱風假、政府放假，女員工生理假、產假，男員工陪產假！ • 重視每位員工的健康狀況，定期免費員工健康檢查 • 扁平化制度，每個人都能做好自我管理、簡單直效的溝通 • 舒適的工作環境，免費的零食、飲料供應 • 擁有開心的工作氣氛及不定期的下午茶 • 我們喜愛運動，籃球社、羽球社，自行報名參加，並有定期大型運動會比賽！

以「釋放製造業的潛力」為使命，致力於推動製造業的數據平台產品。 2022 年透過機器學習等多種技術，將製造業中極為重要的圖面數據進行結構化，並與各類資訊連結，讓圖面能夠作為資訊資產被靈活運用。該產品目前已被日本國內眾多大型製造商與加工公司廣泛採用，成長迅速。 自 2023 年起，我們也開始向海外市場拓展，包括美國、泰國、越南等地，加速推進全球佈局。 未來，我們將不只限於圖面資料，而是致力於透過科技手段，重現與整合製造業的專業知識，實現跨部門、跨企業的整體最適化。【工作內容】 MLOps 工程師將與機器學習工程師密切合作，負責建構、維護與營運能夠穩定提供機器學習與數據科學模型的系統基礎架構。此外，您也將引領建立數據收集管線，並推動數據資產活用。 以下為工作內容示例，實際工作項目不僅限於此，入職後的工作範疇將依據您的技術能力、專業知識與經驗共同討論決定： 建構支援機器學習模型推論的 API 與 Batch 運行環境，及使用 CI/CD 進行部署的系統架構 在正式環境中執行監控、效能調校等提升 Site Reliability 的相關開發 使用 Vertex AI 或 Argo Workflow 建立、維護與運營機器學習處理流程（Pipeline） 最佳化推論與訓練平台的成本效益 與建模人員、平台工程團隊進行有效溝通，並將相關流程進行文件化與制度化 ■ 使用語言 前端：TypeScript 後端：Rust、TypeScript、Python ■ 框架與函式庫 前端：React、Next.js、WebGL、WebAssembly 後端：Rust（axum）、Node.js（Express、Fastify、NestJS）、PyTorch ■ 基礎架構 Google Cloud、Google Kubernetes Engine（GKE）、Anthos Service Mesh ■ 資料庫／資料倉儲 CloudSQL（PostgreSQL）、AlloyDB、Firestore、BigQuery ■ API GraphQL、REST、gRPC ■ 監控與效能追蹤 Datadog、Sentry、Cloud Monitoring ■ 環境建置 Terraform ■ CI/CD GitHub Actions ■ 認證管理 Auth0 ■ 開發工具 GitHub、GitHub Copilot、Figma、Storybook ■ 團隊溝通工具 Slack、Discord、JIRA、Miro、Confluence

At MoMo, we are not just processing transactions; we are shaping the future of finance in Vietnam. We are seeking a visionaryAnalytics Engineering Managerto bridge the gap between complex data infrastructure and actionable business insights. In this pivotal role, you will lead the charge in defining our data modeling standards, ensuring data quality, and empowering our stakeholders with a robust, self-service data platform. If you are passionate about applying software engineering best practices to data analytics and leading high-performing teams, we want you to build the future with usMô tả công việc1. Team Leadership Culture:Lead, mentor, and grow a team of talented Analytics Engineers. You will be responsible for their career development, fostering a culture of continuous learning and technical excellence.Champion the "Data as a Product" mindset, ensuring that datasets produced by the team are treated with the same rigor and reliability as customer-facing software.Drive agile processes within the data team to ensure rapid delivery of value while maintaining high standards.2. Technical Strategy Architecture:Architect and maintain a scalable data modeling layer (using tools likesemantic) that transforms raw data into reliable, documented, and accessible datasets.Define and enforce coding standards, version control practices (Git), and CI/CD workflows for analytics code.Collaborate with Data Engineering to optimize data warehouse performance (e.g., BigQuery/Lakehouse) and manage compute costs effectively.3. Data Quality Governance:Implement automated testing and observability frameworks to detect data issues before they impact downstream users.Establish clear data lineage and documentation to democratize data access across the organization.Ensure strict adherence to data privacy, security, and compliance standards—a critical requirement in the Fintech sector.4. Cross-Functional Collaboration:Partner closely with Product Managers, and Business Leaders to translate complex business requirements into technical data solutions.Act as a technical advisor, helping stakeholders understand the "art of the possible" with our data stack.Yêu cầu công việcExperience:5+ years of experience in the Data domain, with at least 2 years in a leadership or management role.Technical Mastery:Expert-level SQL skills and deep understanding of query optimization.Hands-on experience with Cloud Data Warehouses (Google BigQuery)Workflow Orchestration:Hands-on experience with orchestration tools such asAirflow, n8n.You should be capable of designing complex, dependency-aware pipelines that are resilient to failure.BI Semantic Layer Integration:Deep understanding of how data is consumed by BI tools (e.g.,Looker...). Ability to design the 'Semantic Layer' to ensure consistent metrics across the organization.Soft Skills Culture FitStakeholder Management:"Ability to manage expectations with C-level executives and negotiate priorities effectively in a fast-paced environment."Talent Acquisition:"Experience in recruiting top-tier engineering talent and building a diverse, high-performing team from the ground up."

As a Senior Data Analyst in the Financial Services sector, with a focus on credit products, you will leverage your expertise in data analysis to deliver actionable insights that drive business decisions.You will be responsible for analyzing large datasets, creating financial models, and working closely with cross-functional teams to optimize credit risk strategies, customer acquisition, retention, and profitability.Mô tả công việcConduct rigorous hypothesis testing, including A/B testing, to evaluate the effectiveness of marketing campaigns and product featuresCollect, analyze, and interpret large datasets to identify trends, patterns, and insights that contribute to business growth and operational efficiency.Leading complex data analysis projects from inception to completion.Mentoring junior team members and providing guidance on technical and analytical skills.Assist in creating business cases with detailed analysis, outlining problems, opportunities, solutions, strategic directions, and performance management for investment and insurance productsPlan, forecast and monitor performance and budget of said projects while proposing necessary changes to maximize efficiencyYêu cầu công việcMinimum Qualifications (education): Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science.Experience:At least 3 years of experience in data analytics, preferably in the financial services, credit sector.Experience working with digital lending productEssential skills:Experience with BI/analytics tools (Google BigQuery, Data Studio..)Proficiency in SQL, Python is a mustFamiliarity with machine learning techniques and financial modeling.Advanced proficiency in statistical analysis, and data visualization.Ability to lead and mentor junior team members.Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.Strong project management skills and ability to prioritize and manage multiple tasks simultaneously.Personal characteristics:Result-orientedDo whatever it takes to get the job doneCuriosity and eagerness to learn new techniques and toolsInnovative thinking and problem-solving mindsetAttention to detail and commitment to producing high-quality work

Mô tả công việcCreate, maintain, and update test-related artifacts, including Test Cases, Test Plans, and Test Reports for marketing products.Perform testing on advertising features such as:Campaign, Creative, Ad Group managementTargeting, Budgeting, Bidding logicTracking (Impression, Click, Conversion)Ads Reporting DashboardExecute all phases of testing:Functional Testing, Integration Testing (Ads services, tracking, billing, reporting),System Testing and Regression Testing, Ad-hoc Testing for risk-based scenarios in production-like environments.Track testing progress, monitor product quality, and report issues/risks to TL/PM in a timely manner.Analyze Ads/promotion business requirements and participate in requirement/PRD reviews to detect logic gaps and tracking/data issues early.Prepare test data and test environments for Ads campaigns, creatives, budgets, and reports.Analyze defects, identify root causes, and propose solutions to improve Ads/promotion system quality and performance.Collaborate closely with Developers, Product, Data, and Operations teams to ensure quality, SLA, and stability of the Ads/promotion platform.Contribute to improving QC processes, checklists, and test strategies for Ads/promotion systemsYêu cầu công việcExperience Technical SkillsBachelor’s degree in Computer Science or related fields.At least 2 - 3 years of experience in Manual Testing for Web, Mobile, and Backend systems.Hands-on experience in:Integration Testing, creating Test Cases and Test Plans across multiple projects.API Testing using Postman (request/response validation, tracking events).Database querying (MySQL, PostgreSQL, BigQuery, etc.).Knowledge of: Software Development Methodologies (Agile/Scrum).Soft SkillsStrong analytical mindset with attention to data accuracy and business logic.Ability to handle multiple projects and work under tight release schedules.Proactive, responsible, and a strong team player.Willingness to work overtime when required by project needs.Nice to HaveExperience in Test Automation for Web, Mobile, or Backend systems.Experience in testing: Ads Platform / AdTech / Tracking or Data-intensive systems is a strong advantage.

The MoMo Recommendation Platform is a complex system that powers personalized experiences for millions of users using a diverse range of technologies.We’re looking for a Senior Software Engineer with strong system thinking, architecture design skills, and a product mindset to help build the MLOps platform that transforms any AI/ML solutions into production-grade systems at scale.Mô tả công việcThink like a product engineer: you don’t just “code a solution” – you build a platform that empowers others to deliver intelligent sysDesign and develop a flexible platform that turns AI/ML solutions into production-ready systems: microservices, batch pipelines, or real-time APIsBuild infrastructure to support:Model training pipelinesPackaging deploymentServing rolloutMonitoring alertingCollaborate closely with Data Scientists, Business, and Product teams to deeply understand requirements and design adaptable, scalable solutionsIntegrate platform components into MoMo’s broader infrastructure: promotion engine, A/B testing, analytics, real-time scoring, etc.Yêu cầu công việcMust-Have5+ years of experience in software development, system architecture, or backend/platform engineeringProficiency in one or more of the following: Python, Bash, C++, JavaScript, Java, or GoStrong problem-solving skills and teamwork spiritExperience with:Platform Deployment: Kubernetes, Helm, Argo CD, Argo Rollouts, Docker, Google Cloud Platform (GCP) or Amazon Web Services (AWS)Serving APIs: FastAPI, gRPC, MLflow, KServe, custom logic services, REST APIsData Messaging: BigQuery, Redis, MongoDB, PostgreSQL, Oracle, MySQL, Kafka, Pub/SubOrchestration Workflow: Airflow, Argo WorkflowsCI/CD Monitoring: GitHub Actions, Prometheus, GrafanaData Sources: App event streams, relational databases, messaging systems, APIsSolid understanding of distributed systems and cloud-native architectureAbility to design systems that support diverse solution typesPlatform mindset: you build for stability, scalability, and long-term maintainabilityStrong communication and collaboration skills – able to work cross-functionally with Data Scientists, DevOps, and Product teamsNice-to-HaveExperience working with both AI/MLExperience scaling low-latency / real-time systemsFamiliarity with A/B testing, canary release, and shadow deployment strategiesProduct-oriented mindset: you build systems that others can easily adopt and extend

We are seeking an experienced and highly analytical Lead - Data Analytics for our Financial Services Division.In this critical role, you will be the driving force behind transforming complex financial data into strategic assets. You will lead a team to uncover deep, actionable insights that directly influence business strategy, product innovation, customer lifecycle management, and overall profitability.If you are passionate about using predictive modeling, machine learning, and statistical analysis to solve high-impact business problems in the financial world, this is the role for you.Mô tả công việcLeading a team of 2-3 data analysts to deliver high-quality analysis and insights.Drive the adoption of machine learning and AI Agents to solve complex business challenges.Setting strategic direction for the team and prioritizing projects based on business objectives.Establishing best practices and standard operating procedures for data analysis and reporting.Collaborating with senior management to align data analytics initiatives with business goals.Yêu cầu công việcMinimum Qualifications (education):Bachelor's degree in a quantitative field such as Statistics, Mathematics, or Computer Science.Experience:At least 4-5 years of experience in data analytics, preferably in the financial services, banking sector/ fintech product with demonstrated leadership capabilitiesEssential skills:Experience with BI/analytics tools (Google BigQuery, Data Studio..)Proficiency in SQL, Python is a mustDemonstrated experience building and deploying various machine learning modelsAdvanced proficiency in statistical analysis, and data visualization.Solid understanding of fintech operations, products, and regulatory requirements.Strong communication and interpersonal skills to collaborate with cross-functional team members and explain findings clearly to internal team as well as stakeholdersProven ability to build and manage a high-performing team in a fast-paced environment.Personal characteristics:Do whatever it takes to get the job doneStrong leadership qualities and ability to inspire and motivate team members.Strategic thinker with a results-driven mindset.Commitment to fostering a collaborative and inclusive team culture.

The Business Analyst will be part of Customer Experience Excellence team, and work to supplement the analytics and visualization contributions towards the data-driven decisions at MoMo. This candidate should enjoy managing high volumes of customer operational data and be comfortable providing analyses and insights. They will have the opportunity to directly influence the products and development of the company, and their conclusions will have a wide-ranging impact on the customer experience decisions of the business.Mô tả công việcExperience Monitoring and Improvement:Building, developing, and maintaining automated dashboards to monitor performance metricsMonitoring data quality to ensure data sources are reliable and relevant for the team’s purposesAnalyzing complex data to drive insightful findings and translating them into meaningful, actionablerecommendations for our stakeholdersDesigning and implementing solutions and best-practices, with automation and scalability in mind, to empowerend-users to become self-reliantCollaborating with internal team to consolidate requirements, understand business needs, and deliver projects in a timely mannerAd-hoc Reporting Data Analysis duties or other responsibilities as requireProject management:Assist the Customer Experience Management Team in implementing improvement projects related to customer operations.Contribute to the development and execution of strategies that elevate customer satisfaction and loyalty.Yêu cầu công việcAt least 2-3 years of experience in the customer experience field.Excellent analytical skills and problem-solving aptitudeAbility to collect, organize, and analyze significant amounts of data with high attention to detailAbility to visualize findings, create meaningful insights, and arrive at actionable recommendationsStrong spoken and written communication skills to collaborate with team members and to explain findings clearly to internal team as well as stakeholdersExperience writing complex queries in SQL or other SQL-based languagesWork proactively with key business partners to closely monitor risks and opportunities and identify improvement opportunitiesSense of ownership, a growth mindset, and the ability to recommend solutions which are scalableSelf-learner and quick to adopt new knowledge and technical skillsEffectively collaborate within a team as well as work independentlyDesirable:Experience with BI/analytics/statistics tools and languages (Google BigQuery, Google Data Studio, R, Python, etc.)Solid technical/functional knowledge in statistics

MoMo is the market leader in mobile payments in Vietnam, driven by a commitment to enhancing the lives of Vietnamese citizens through technological innovation.Within the MoMo BigData AI department, we prioritize Smart, Efficient, and Excellent execution. We are currently undergoing a major transformation to build a new hybrid data platform spanning multiple cloud vendors (GCP AWS).We are seeking an experienced Data Engineer to help us architect this platform to optimize for both budget control and technological flexibility. You will play a pivotal role in shifting our mindset from "managing data" to creating valuable Data Products that empower our internal consumers.Mô 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,Looker 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 việcThe MindsetPassion for Data: You dream in SQL ("SELECT COUNT(SHEEP)...") and care deeply about data accuracy.Product Thinking: You view data as a product, focusing on the usability and reliability of what you deliver to stakeholders.The Tech StackStrong Coding Skills: Proficiency in Java/Kotlin (for robust backend services) and Python (for data processing/scripting).Hybrid Cloud Infrastructure: Hands-on experience with GCP. Proficiency in Kubernetes, Docker, and IaC tools like Pulumi or Terraform.Big Data Engines: Deep understanding of computing engines like Spark, Trino, BigQuery, and Clickhouse.Orchestration: Experience building DAGs and workflows in Airflow or Temporal.Data Sources: Familiarity with diverse sources including App Events, CDC from transactional DBs (Oracle, MySQL, MSSQL), and streaming systems (Kafka, PubSub).Soft SkillsStrong problem-solving abilities with a focus on root-cause analysis.Collaborative spirit: You can explain complex infrastructure decisions to non-technical stakeholders.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience using Python (Pandas, NumPy) or Java to develop data processing tools or automation scripts. Experience in managing data workflows using tools like Airflow, dbt, or Prefect. Experience in building and querying data within BigQuery, Snowflake, or Redshift environments. Experience in developing operational dashboards using Looker, Tableau, or Power BI. Preferred qualifications: Experience working with semiconductor manufacturing data or large-scale industrial datasets. Ability to manage complex data exchanges and integration workflows with external foundry or assembly partners. Ability to identify manufacturing anomalies and to explain architectures to non-technical stakeholders. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. As a Machine Learning Data and Analytics Engineer, you will be the architect of manufacturing intelligence. You will design, build, and maintain the data infrastructure that transforms fragmented information from the global partners into a cohesive, high-performance data ecosystem. Your work will directly enable the operations team to monitor production health, optimize yields, and make data-driven decisions in real-time.The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.Responsibilities Design and deploy scalable pipelines to manage high-volume manufacturing data, including wafer maps, test results, and quality reports. Build automated tools to clean and normalize disparate data formats from foundry and assembly partners, ensuring a single source of truth. Create and maintain intuitive visualizations and high-impact dashboards to monitor critical KPIs and production health metrics. Develop and optimize data schemas that support high-speed ingestion and complex investigative querying for real-time decision-making. Partner with Operations and Engineering teams to translate business requirements into technical solutions while ensuring platform reliability and performance. 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.