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Key Responsibilities● Work with product owners and other development team members to determine new features and user stories needed in new/revised applications or large/complex development projects● Participate in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate● Respond to trouble/support calls for applications in production in order to make quick repair to keep application in production● Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives● Mentor less experienced technical staff; may use high end development tools to assist or facilitate development process● Advanced proficiency in Object Oriented Design (OOD) and analysis. Advanced proficiency in application of analysis/design engineering functions. Advanced proficiency in application of non-functional software qualities such as resiliency, maintainability, etc. Advanced proficiency in advanced behavior-driven testing techniquesOur Stack● Application Framework: Java 8, Spring Boot● Microservices: Spring Cloud (Spring Cloud Config / Open Feign / Spring Cloud Hystrix / Spring Cloud Gateway)● Database: MySQL (Aurora / RDS)● Public Cache: ElastiCache, Redis (MS, Sentinel, cluster)● Message Queue: Apache RocketMQ, RabbitMQ, Kafka● Coordinator: Zookeeper● APM: Jaeger, opentracing● Documentation: Springdoc-OpenAPI● Search and Reporting: ElasticSearch● Log Real-time Visualization: ELK, Loki● Monitoring: Prometheus, Grafana, CloudWatch● Container: Docker, Kubernetes● CI/CD: Jenkins, ArgoCD

If you● Are a self-driven DevOps Engineer with proven experience in large-scale micro-service systems hosted on AWS● Have a deep understanding of cloud architecture, AWS technologies and cloud security best practices● Are following the latest industry trends and are passionate about cloud computing for large-scale systems Key Responsibilities● Work in a team of DevOps and DBA professionals – initially 3 people, although this will expand throughout the country expansion● Improve existing infrastructure and CI/CD procedure● Holistically improve all aspects of our infrastructure, including reducing costs, improving build and deployment times, streamlining environment provisioning, lowering load times, incorporating the latest techniques and technologies, and more● Monitor and maintain the existing cloud infrastructure via autoscaling, automated alerts● Take ownership and responsibility for our cloud operation activities● Liaise with external security agencies for annual audits as well as perform our own internal security sweeps● Aid in reconfiguring existing architecture to allow for rapid deployments to new countries● Report to DevOps Leader/DirectorOur Stack● Backend Application Framework: Spring Boot (Java Config + Embedded Tomcat)● Frontend Application Framework: VueJS● Micro Service Framework: Spring Cloud Dalston (Netflix Eureka + Netflix Eureka + Netflix Ribbon + Feign)● Database: AWS RDS, RDS Proxy, MONGODB● Public Cache: AWS ElastiCache + Redis● Message Queue: Apache RocketMQ, RabbitMQ● Distributed Scheduling: Dangdang Elastic Job● Data Index and Search: ElasticSearch● Log Real-time Visualization: ElasticSearch + Logstash + Kibana, Grafana Loki● Business Monitoring: Prometheus + Grafana● Reverse Proxy: Nginx● CDN: Cloudflare● Server Virtualization Container: AWS EKS + AWS EC2● Server Operation System: CentOS● Static File Storage: AWS S3● Inner DNS Resolution: AWS Route 53● Network Management: AWS VPC● Cluster Management and Scaling: AWS OpsWorks● Cluster Monitoring: Prometheus + AWS CloudWatch● HTTPS Certificate Management: AWS Certificate Manager● Malicious Attack Defending: AWS WAF Shield● Cluster Alert: AWS SNS + Slack● Continuous Integration/Deployment: Jenkins, Rancher, ArgoCD● Configuration Tool: Ansible, Chef, Sal

在 Pinkoi，工程師的任務是讓每個來 Pinkoi 的人都能擁有難以忘懷的使用體驗，你必需擁有極大的熱情，因為我們相信一個令人讚賞的網站服務，是由背後每一位工程師努力的追求卓越，每一個小細節都是 Pinkoi 非常在乎的事情！Pinkoi 致力於打造流暢且量身打造的探索與購物體驗，讓顧客輕鬆發現感興趣的商品、品牌與內容，並加深與平台的連結。同時運用創新的 AI 技術與深厚的產業知識，幫助品牌提升銷售業績、使規模快速成長，成為設計品牌邁向規模化、國際化不可或缺的重要夥伴。工作內容與挑戰維護和迭代網站底層架構，包括正式環境和開發環境，例如：CI/CD 流程、程式語言迭代、資料庫架構調整...等。協助建立與優化內部平台工具，提升開發者體驗。設計與維護監控、告警與可觀測性（logging / metrics / tracing）。產出高品質、穩定、可維護且可讀性高的程式碼，並養成良好的自動化測試習慣。能夠順暢地與各種領域的夥伴溝通合作，例如前端工程師、後端工程師、App 工程師、資料工程師等。擁有快速辨識系統問題的能力，並且能夠確實修復問題。持續改善系統架構、效能與穩定性，並樂於撰寫技術文件、分享知識，提升產品開發體驗。持續研究並導入新技術（如 Cloud Native 工具、AI 輔助開發）與創新想法，並評估其在實際環境中的落地與價值，創造更大的影響力。我們希望你有的特質充滿熱情，你想要做出世界級一流的產品。樂於學習，對於新技術抱有好奇以及開放的態度。良好溝通，能夠清晰地和 Pinkoi 的夥伴們溝通你的想法。主動積極，能發掘系統上的不足或可以更好的地方，並提出改善作法。自我要求，具備高標準、時限觀念和責任感。應徵條件有 2 年以上後端開發經驗，具備開發與維護系統的能力。具備良好的程式基礎，並樂於持續精進（Pinkoi 主要使用 Python，但我們歡迎任何程式語言的使用者來應徵）。對資料庫、資料結構以及演算法有基礎的理解，知道它們如何影響你的程式效能。對 Linux 作業系統有基礎的理解，特別是針對 Process 跟 Thread 的部分。熟悉 container 相關技術（例如：Docker、Kubernetes）。加分條件應用程式效能校調相關經驗。具備 Observability 相關經驗（Prometheus, Grafana, OpenTelemetry）。熟悉使用如 MySQL、Elasticsearch、Redis 等常見服務，並了解在設計與開發中需針對其分散式特性（如一致性、可用性、效能瓶頸）做出相應考量。熟悉以 LLM 工具輔助開發，並整合至日常工作中以提升效率與品質。熟悉雲端平台與基礎設施維運（AWS / GCP / Kubernetes / CI/CD pipeline）。熟悉 Cloud Native, Kubernetes 生態系（Helm, ArgoCD, Operators 等）。＃不用想了，趕快來當個 Pinkoi 人如果你有信心能夠勝任這份工作，歡迎提供你的個人履歷及小作業回答，即刻應徵！

公司描述 我們是國內頂尖金融控股集團旗下的創新科技核心單位。我們扮演集團數位轉型的「推進器」，專注於前瞻技術（如 Generative AI、穩定幣、Web3）的研究與落地驗證。團隊由具備深厚技術背景的跨領域專家組成，直接與旗下四大子公司銀行、保險、證券等合作。我們提供一個能讓你接觸國內外尖端新創、實驗最前衛技術的國際化舞台。 職位亮點 ✅ 從技術開箱到原型實作 (Hands-on POC)：你將利用你的 Coding 能力，親手將創新概念轉化為功能雛型 (Prototype)，引領開發團隊進行後續大規模產出。 ✅ 主導 AI 與前瞻技術評估：深度參與 Generative AI（生成式 AI）與穩定幣等新興技術研究，對接國內外新創與顧問公司，評估其技術深度並尋求金融場景的落地機會。 ✅ 跨組織的大型專案影響力：主導跨子公司、跨廠商的中大型專案，設計驗測指標並制定創新服務的治理與管理辦法，具備極高的專案能見度。 ✅ 新創文化與集團資源並行：擁有高度自主學習與分享的環境，你可以像在新創一樣快速嘗試新技術，同時擁有金控集團的龐大數據與資源支持。 ✅ 國際商務洽談舞台：與國外新創與技術夥伴直接對接，進行商務談判與技術整合，展現優秀的英文影響力。 職位職責 🔹 技術探勘與導入評估：觀察金融科技動態，挖掘內部業務機會。訪談新創公司以評估其技術深度，思考如何將新數據技術導入內部環境。 🔹 原型開發與驗證 (POC Management)：獨立將創新概念開發成可用於內部試驗的雛型，幫助工程團隊理解技術應用邏輯，並設計驗測方法以提升落地可行性。 🔹 系統整合規劃：分析內部環境與新技術的整合需求，提出系統架構規劃建議（如 API 整合、微服務架構），並協調各子公司資源進行導入。 🔹 治理規範制定：針對創新專案所衍生之新技術應用，設計組織運作規劃，並制定服務規範、治理與管理辦法。 🔹 高階專案推進：籌備並協助舉辦跨組織高階會議，確保專案進度與商業目標高度對齊。 職位要求 ✔ 具備 3 年以上 AI、Fintech 技術導入及系統分析整合實務經驗。 ✔ 具備實際 Coding 與原型開發能力：能獨立撰寫程式製作功能雛型，並對現代化架構（如 MVC, Micro-services, API, Container）有基礎理解。 ✔ 具備 0 到 1 的產品規劃經驗。 ✔ 要求英文溝通能力：能獨立完成英文簡報，並與國外廠商進行商務洽談。 ✔ 熱愛技術探勘：對市場新技術（特別是 穩定幣、生成式 AI）有濃厚興趣且具備自我學習熱情。 ✔ 強大的跨部門溝通力：能與商務團隊協作，將複雜技術轉譯為商業語言。 加分條件： 具備金融業或與金融機構高度合作的專案經驗。熟悉雲端服務（AWS/Azure/GCP）與技術框架（如 Spring Boot, React/Vue/Angular）。擁有數位營銷相關之 Fintech 應用經驗。 ---------------------------------------------------------------------- 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/

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree in Engineering, Computer Science or in a related software engineering field, or equivalent practical experience. 3 years of experience architecting and implementing APIs in Apigee, using a combination of technologies, languages, and standards such as REST, SOAP, GraphQL, OpenAPI, Python, Java, JavaScript, and Kubernetes. Experience with API gateway/management, Apigee X and Apigee Hybrid. Experience with Infrastructure as Code tools like Terraform, Crossplane, Pulumi, etc. Preferred qualifications: Experience in private, public (Cloud Platforms), and hybrid cloud design considerations and limitations in areas such as virtualization, containerization and container orchestration (like using Kubernetes), serverless, event-driven architecture, global infrastructure, distributed systems and datastores (like Cassandra), load balancing, networking, and security. Experience in implementing API Security and Threat Modeling using SAML Assertion, OAuth 2.0, etc. Understanding of terminologies and concepts related to AI, including LLMs, inference, and Agents. Knowledge of Multi/Hybrid Cloud exposure through Google Distributed Cloud (formerly known as Anthos), OpenShift, Rancher, or similar platforms. Knowledge of API Development and Lifecycle. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. Application Programming Interface (API) Strategy is a core part of Digital Transformation that helps customers effectively manage their platforms. Apigee is Google's differentiated full API lifecycle management offering. Organizations and developers use Apigee to design, document, secure, deploy, scale, publish, analyze, and manage their APIs effectively. As a Strategic Cloud Engineer in the API Management domain, you will be the primary technical point of contact with the prospects and customers on their journey with Apigee. You will guide customers through product implementation and will serve as the customers primary source for expertise on all Apigee products and implementations to achieve customers project goals.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 closely with customers during post-sales engagements on their API programs. Produce required design specifications. Provide technical leadership, architectural guidance, and help customers go into production with quality technical solutions/implementations with on-premises and multi/hybrid cloud-based Apigee solutions. Work with Customer Operations teams to design, deploy, and configure required infrastructure components. Work with geographically distributed Apigee product/engineering and Customer Engineering teams to drive innovation and excellence in the field of API Management using Apigee. 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. 6 years of experience with cloud native architecture and development methodologies (e.g., modernizing legacy applications and application performance profiling and tuning) in a customer-facing or support role. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Experience with architectural design patterns, platform engineering (e.g. Infrastructure-as-Code, automation, image management or repository management), virtualization deployments, container deployments, application security, or networking. Preferred qualifications: Experience with developing scalable architectures using API management, microservice frameworks, and PaaS. Experience prospecting, building and maintaining customer relationships from scratch, with excitement for building Greenfield territories in Enterprise accounts. Experience with software development in one or more programming languages. 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 Cloud Sales teams as a cloud 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 challenges, engage in proof-of-concepts, remove roadblocks, and troubleshoot technical questions. You will use your expertise 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 have previous experience with application development, application modernization, cloud-native architectures, Site Reliability Engineering, or DevOps practices. You will also have some experience with networking, security, microservices architectures and practices, and container orchestration.You will be a part of a team of fellow Googlers working in an environment of respect where Google promotes 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 Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Share in-depth enterprise infrastructure and cloud modernization expertise to support the technical relationship with customers, including technology advocacy, support bid responses, product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions which impact customer adoption to Google Cloud. Guide customers through assessments of their existing legacy application environment(s), provide recommendations on a prioritization roadmap for application modernization, and identify opportunities for migration to hybrid-cloud computing models. Structure and execute prototyping workshops to prove out proposed architectures, develop best practices, and document blocking requirements for prioritization with engineering. Travel to customer sites, conferences, and other related events as required, and act as a public advocate for Google Cloud. 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.

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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, or equivalent practical experience. 3 years of experience in writing/debugging code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) and in virtualization and orchestration frameworks. Experience with Linux, Unix, or a similar operating system. Preferred qualifications: Experience in Kubernetes or container networking. Experience with software-defined networking in public cloud or SDN software. Experience in network specific kernel parameters (e.g., TCP keepalives, etc.). Understanding of operating system kernel, file systems, and TCP/IP network protocols (DNS, routing, firewalls, and load balancing concepts). Familiarity with network namespaces, how to take packet captures, and how to interpret packet captures. Familiarity with HTTP protocol and APIs based on HTTP. 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. The High Touch Support team’s focus on proactive solutions and deep customer-centric supportability helps avoid issues, build stronger customer trust, and enable customers continuous growth and long-term success on Google Cloud Platform (GCP). In this role, 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 a high-touch, dedicated service to our most critical customers with complex environments, aiming to anticipate their needs, optimize product performance, and enable customer success across complex environments. You will troubleshoot technical problems for customers through debugging, networking, system administration, updating documentation, and 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 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 the customer’s problem through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues. Develop an understanding of Google's product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis. Be a subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles. Work closely with multiple Product and Engineering teams to find ways to improve the product, and interact with our Site Reliability Engineering teams to drive high-quality production. Understand customer issues and advocate for their needs with cross-functional teams. Work as part of a team of developers/consultants that globally ensure 24-hour support. This will include a need to sometimes work non-standard work hours/shifts, and may include weekend work. 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 Science, Technology, Engineering, Mathematics, or equivalent practical experience. 6 years of experience writing/debugging code written in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) and in virtualization and orchestration frameworks. Experience with systems, and with Linux, Unix, or a similar operating system. Preferred qualifications: Experience with software-defined networking with public Cloud or SDN software. Experience with Kubernetes or container networking. Experience with the HTTP protocol and APIs based on HTTP, Network specific kernel parameters (TCP keepalives, etc.). Ability to maintain customer focus on a logical troubleshooting process during customer outages. Ability to consistently demonstrate a well-developed systematic, logical troubleshooting methodology for each customer issue. Ability to quickly assess customer issues to determine impact, scope, and to create next steps for troubleshooting. 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. In this role, you will be a part of a Global team that provides 24/7 support to help customers seamlessly make the switch to Google Cloud. You will provide a high-touch, dedicated service to the most critical customers with environments, aiming to anticipate their needs, optimize product performance, and enable customer success across complex environments. You will focus on proactive solutions and deep customer-centric supportability helping to avoid issues, build stronger customer trust, enable customers continuous growth and long-term success on Google Cloud Platform (GCP). You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting.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 and other support personnel to resolve customer issues. Collaborate and troubleshoot, reproduce, and find root causes for customer issues. Develop an in-depth understanding of Google Cloud networking technologies, including internal implementation details. Act as consultant and subject matter expert for internal stakeholders in product engineering, sales, and customer organizations to resolve technical issues and improve Google Cloud. 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 work hours/shifts, and may include weekend work as needed. Improve the support of Google Cloud networking technologies by working with product engineering teams. Collaborate 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.

As an Associate Application Consultant at IBM, you will help us usher clients into a new age of future-looking technology. You'll be assisting clients in the selection, implementation, and support of applications, methodology, and tools. You'll be trained up to perform as an expert on existing and/or new applications specialized around areas such as Cloud, Cybersecurity, DevOps, Enterprise Applications, and AI/ML. You will help our clients integrate enterprise-wide data for improved performance and efficiency. Leveraging a growth mindset, you're ready and willing to deliver business value, wherever needed. In your role you may be responsible for: * Working with project teams to advise clients on enterprise-wide data integrations. * Work as a team member with client personnel and other IBM teams to identify functional requirements and subsequently working with or in some instances leading others in the identification, justification, and design of the client's solution. * Participate in a wide range of design activities, from requirements analysis through systems, application and/or process design specification and implementation. * Assisting in the design and implementation of cloud applications, enterprise systems, secure DevSecOps or (AI) MLSecOps pipelines, including vulnerability management, IaC scanning, and container security. * Collaborating in agile, cross-functional teams to deliver innovative and scalable technology solutions.*APPLICATION DUE JAN 2, 2026.