「Solution Architect」的相似工作

CloudMile is a young start-up team which enables clients to solve most mission-critical challenges by leveraging top-notch artificial intelligence, cloud and security technologies with leading vendors in the markets. As a“CloudMiler”, we thrive to be the leading Enterprise-grade Artificial Intelligence, cloud and security solutions provider in Asia. We are the First Google Premier Partner to acquire Infrastructure and machine learning Specializations in North Asia with strong investment in R&D and technologies. 【工作內容】 ◎ 瞭解客戶端系統架構，分析需求與技術評估，並提供對應的雲端解決方案 ◎ 準備並展示CloudMile的產品和服務 ◎ 設計未來的技術架構 ◎ 解決銷售過程中出現的技術問題 ◎ 研究雲端服務相關技術，以提供相應的技術顧問諮詢服務 【職務需求】 ◎ 大學或以上資訊工程或同等經歷畢業 ◎ 具備三年以上公有雲實作經驗 ◎ 具備三年以上或同等Java, Python, Javascript等程式撰寫經驗 ◎ 具備客戶溝通經驗 ◎ 優異的組織能力和溝通技巧 【加分條件】 ◎ 一年以上或同等機器學習工程師實作經驗 ◎ 一年以上DevOps工程師實作經驗 ◎ 熟悉restful 架構(Django, flask, falcon等) ◎ 具備FSI或半導體相關客戶服務經驗尤佳

Are you a mastermind when it comes to software architecture and design? Do you have a passion for developing innovative software solutions that are ahead of the curve? If so, we have the perfect role for you. As an Application/Software Architect, you'll be responsible for designing cutting-edge software frameworks, systems, and products that will set the standard for the industry. You'll use your extensive technical knowledge to conceive system interfaces and business application prototypes, while also identifying and resolving any framework design weaknesses. You’ll use your technical expertise to provide technical leadership to the application development team, perform design and code reviews, and ensure that uniform enterprise-wide application design standards are maintained. You'll also collaborate with other stakeholders to ensure that the architecture is aligned with business requirements, making sure that the project meets its goals. Your expertise in designing major aspects of the architecture of an application, including components such as user interface, middleware, and infrastructure, will be put to use as you create and maintain documentation surrounding the software architecture, application design processes, component integration, testing guidelines, and other key elements. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career, from a Junior Architect to Principal Architect – we have opportunities for that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Join us in revolutionizing the world of software design and take your career to the next level. Job Qualifications You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience •Architectural experience of large customer change and transformation projects •In depth knowledge and experience of hardware and software including connectivity between platforms Preferred Technical and Professional Experience •The Open Group - Master Certified Architect (or equivalent) •Prior hands-on experience working in a Mainframe environment •Experience in the following types of Mainframe projects – Modernise On, Integrate With and Move Off/Spring Boot/ Cloud Native •Strong understanding of z/OS and IBM Software Products as well as 3rd party Mainframe software 3 years exp in application.

【About the role】 Hytech is seeking a forward-thinking Manager of Software Security Architecture to lead the strategy, development, and execution of a world-class application security program. This highly technical leadership role will define the vision for embedding security throughout the software development lifecycle (SDLC), including modern AI and machine learning platforms. The ideal candidate will have deep expertise in secure software development, application security engineering, CI/CD automation, and integrating security into traditional, cloud-native, and AI-enabled environments. You will lead a global team of security engineers, build scalable developer-focused security solutions, and shape security strategies across engineering, infrastructure, DevOps, and data science teams. What this job involves: [Program Ownership & Strategy]: 1. Own and advance the enterprise application security program, including vision, technical strategy, and execution. 2. Define and implement scalable, modern AppSec practices for cloud-native and AI-enabled development. 3. Represent application security in enterprise architecture, risk, and compliance initiatives. 4. Define KPIs to measure security posture and program effectiveness. [Leadership & Collaboration]: 1. Lead, mentor, and grow a global team of application security engineers and specialists. 2. Promote a proactive “shift-left” culture by embedding security throughout the SDLC. 3. Partner with development, DevOps, AI/ML, and product teams to integrate secure practices into software and data science workflows. 4. Build strong cross-functional relationships to drive security-first thinking and align investments with business value. [Security Tooling & Technical Implementation]: 1. Drive adoption and optimization of security tools (SAST, DAST, SCA, IAST, secrets scanning, etc.) in CI/CD workflows. 2. Design and deploy developer-friendly tools for threat modeling, code scanning, secrets detection, and dependency analysis. 3. Implement internal secure-by-default frameworks and reference architectures. [AI/ML Security]: 1. Collaborate with AI/ML teams to implement secure design patterns for model development, training pipelines, and service deployment. 2. Develop and enforce security controls for AI applications, including data integrity, robustness, governance, and prompt injection prevention. 3. Evaluate and integrate emerging tools for securing ML pipelines, generative AI models, and AI APIs. [Security Enablement, Education & Documentation]: 1. Build scalable security enablement programs, including secure coding workshops, bootcamps, and self-service resources/platforms. 2. Develop and maintain internal security documentation, policies, and standards. [Research & Continuous Improvement]: 1. Stay current on application security threats, AI security research, and best practices in cloud and software engineering.

作為 CloudMile 的雲端架構師，您將在開發和整合不同的雲端架構方面扮演重要的角色，包含應用程式開發、身份識別和權限管理、網路和數據管理等。您將需要與台灣的跨部門團隊一起合作，包含管理團隊、行銷、雲端工程師、解決方案架構師和機器學習工程師等，協助客戶建構解決方案。 【工作職責】 ◎ 與解決方案架構師合作，建立和提出清晰的雲端策略及應用。 ◎ 在團隊內分享Google Cloud 技術知識和應用。 ◎ 設計、開發和導入多雲的 IT 解決方案，採用容器化技術（Docker、Kubernetes）提供客戶端在本地、區域和全國的服務，並提供優化及改進建議。 ◎ 提高生產環境效率，推動實現高度自動化、安全性和和成效管理。 ◎ 運用雲端專業知識，即時的回應客戶需求。 【職務需求】 ◎ 大專以上資訊相關科系畢業，包含資訊工程、電腦工程、資訊管理等。 ◎ 具備解決方案架構、部署和管理經驗，擁有於客戶進行雲端導入的經驗尤佳。 ◎ 具備3-5年或同等資歷以上之基礎架構、資料庫架構、網路系統等IT雲端解決方案的設計、執行和支援經驗。 ◎ 具備3年或同等資歷以上之公有雲和技術（IaaS 和 PaaS）經驗 ◎ 具備良好的口頭和書面溝通能力，具備撰寫和出版技術白皮書的經驗。 ◎ 具備中等程度以上的會議溝通等聽說讀寫之英語能力。 【加分條件】 ◎ 熟悉 OWASP Top10 網路安全風險，且具備如何防範和解決風險經驗 ◎ 了解 MITRE ATT&CK 框架，且具備如何評估威脅與攻擊行為等經驗 ◎ 具備 paloaltonetworks Prisma Cloud 解決方案或相關產品實作或使用經驗 ◎ 了解 CIS Benchmarks 指引，並具有使用或導入至現行服務/產品等經驗 ◎ 具備其他公有雲廠商的合作或工作經驗，包含：AWS、Microsoft Azure 和阿里雲。 ◎ 具備協助客戶將解決方案導入或搬遷到雲端的經驗。 ◎ 具備 Terraform 腳本開發 infrastructure as code 的相關知識。 ◎ 具備資安經驗並協助客戶導入或維運的經驗，包含：SecOps、雲原生資安服務和其他資安服務軟體。 ◎ 瞭解或熟悉微服務架構及 twelve-factor app 原理。

DataPower gateways are used by many of the world's largest companies including banks, airlines and insurance providers. As part of the DataPower gateway software engineering team you will be responsible for ensuring that every version of the product that is released exceeds the high level of quality that our customers demand. You will be responsible for development of DataPower gateway container technologies, which will include both multi-protocol and API gateway capabilities, test automation. The role seeks good levels of personal organization, and the ability to work well with a distributed global team in a fast paced and exciting environment. You will be office based, working with senior team members who will be able to help you integrate into the team, the department and wider IBM. You will be required to communicate your status on a daily basis, come up with creative solutions to problems and be flexible. Supporting the team where your help is required and to be able to demonstrate a positive attitude and a passion to succeed.

- 可接受駐點性質工作：需配合派駐至客戶端，參與並執行軟體專案開發任務。 - 工作態度與團隊合作：具備主動學習精神，重視紀律與責任感，樂於與團隊協作，共同達成專案目標。 - 專業背景與經驗： 具備至少兩年以上程式設計師（PG）、系統開發人員（SD）、系統分析師（SA）、專案經理（PM）、資訊管理人員（MIS）、軟體測試人員（QA）或技術客服（TS）等相關職務。具備專案執行能力，擁有相關專業證照者尤佳。 - 工作地點：台北市內湖為面試地點，實際派駐地點依客戶端需求而定。

《Responsibilities》 1. 領導資訊基礎架構相關專案，並負責專案管理。 2. 負責資料中心系統或平台評估及規劃。 3. 建立提供資料中心架構標準規範。 4. 規劃資料中心確保可擴充設計。 5. 具備自主解決問題之能力，可獨立作業。   《Qualification》 1.具備良好溝通與談判能力，能協助釐清與處理專案爭議項目，英文能力佳。 2. 熟悉資料中心 Server (HP/Dell) , Storage ( NetApp , HPE) , Facility (UPS, 冰機, 發電機) 相關建置或管理經驗。 3. 對於虛擬化平台 VM ware , Hyper-V 或其他平台有相關經驗。 4. 具備資料中心或 HPC 硬體架構設計或建置經驗。 5. 對於 AD , DNS 等系統有管理經驗。 6. 對於 Windows , Linux Server 系統有管理及維運經驗。 7. 監控軟體 Zabbix / Prometheus 或相關監控軟體有建置或管理經驗。

You will be working for Data Service practice, here we provide data services solution for business customers, such as data pipeline, data analysis , data platform, reporting platform. As an entry level Technical support at IBM, you'll work in a project-based delivery model, and develop customized systems with project team members for our clients. In your role, you may be responsible for: * Assist in the development and maintenance of reliable ETL systems, ensuring they meet our client's specific business needs. * Work closely with cross-functional teams to grasp project requirements and translate them into technical solutions. * Contribute to the creation of secure, high-performance data platforms and reporting systems. * Support the testing and debugging of ETL processes to ensure data accuracy and system stability. * Collaborate in enhancing existing systems and processes to improve productivity and efficiency.

CerenceAI China RD is seeking a Research Engineer to design and implement the next-generation text-to-speech systems and applications. In this role, with members in globe, you will work both frontend (Grapheme-to-phoneme, Text Normalization, phrasing and prosodic control, etc) and backend (acoustic modeling, neural vocoding) components of engine pipelines and end-2-end system for major languages and dialects. Your work will directly impact CerenceAI products ranging from voice assistants to accessibility tools, delivering natural, expressive, and multilingual speech synthesis. Job Description Representative responsibilities/duties will include but not limited to: • Design and optimize text/NLP preprocessing pipelines with Deep Learning or Machine Learning methods, including Grapheme-to-phoneme (G2P) conversion for multilingual support; Text normalization; polyphone disambiguation; Prosody prediction and control • Integrate language models (e.g., BERT, GPT variants) to improve contextual and semantic understanding for natural intonation • Develop rule-based and neural solutions for emotion/style control in synthesized speech • Build state-of-the-art acoustic models (e.g., Tacotron, FastSpeech, VITS) to map linguistic features to spectrograms or waveform parameters. • Optimize neural vocoders (e.g., WaveNet, HiFi-GAN, MelGAN, LPCNet) for high-fidelity, real-time speech synthesis • Optimize inference latencies for both edge devices and cloud platforms • Enhance robustness through noise suppression, speaker adaptation, and multilingual/cross-language/cross -gender voice cloning Knowledge, skills, and qualifications Education: Master in CS, AI, EE, Math, or related field. Required/preferred skills: • hands-on experience in speech generative system development with deep expertise in both frontend and backend components • Proficiency in C/C++ and Python, with mastery of ML frameworks (PyTorch, TensorFlow, etc) • Some background in NLP techniques and/or speech signal processing is welcome • Knowledge on transformer-based language models for prosody prediction • Basic understanding of autoregressive / non-autoregressive acoustic models and neural vocoders • Experience in optimizing models via quantization, pruning, or knowledge distillation • Experience with ONNX Runtime, TensorRT, or TorchScript, etc • Experience with zero-shot/one-shot/few-shot voice cloning or emotional TTS systems • Skilled GPU/TPU cluster and grid user • Fluent English is a must-have

1. Linux 系統維護： 熟悉 Linux 系統的基本維護和操作，確保系統的穩定運行。 2. 系統服務管理： 處理各類系統基礎服務的日常運行維護、配置更新和故障緊急回應，確保所負責業務的高可用性。 3. 雲平台使用經驗： 熟悉使用雲服務，能夠管理和維護雲端資源，確保系統的可擴展性和高可用性。 4. 完善系統架構與日常運維等相關文檔，確保技術知識的有效沉澱與共享。 5. 效能監控與告警：協助建立並維護監控系統，學習設定自動化告警系統，確保系統問題能及時處理。 6. 網絡架構與安全性支持：參與基本的網絡架構管理，如防火牆和負載均衡器配置，維護基本的網絡與系統安全性。 7. 配合主管安排交辦事項。

As a Q2C (Quote to Cash) Professional, you will 1. Perform a variety of support responsibilities throughout the sale cycle from Opportunity management, internal processes facilitating, proposal/solution release, contract management, billing & invoice tracking. 2. Ensure that all transactions are handled with minimum impact to the customers and in compliance with all the audit guidelines and approved processes. 3. Partner with brands sellers/project managers to ensure the pre-sales processes are timely completed, contracts timely released, signed contracts timely registered and billed, signings are timely recognized. 4. Ensure all the pre & post sales activities are timely and accurately performed. 5. Capture all skills required to perform the Proposal Support Professional & Contract Support Professional role. 6. Identify work process improvements and issue prevention activities. 7. Perform other tasks as required, including but not limited to: a. Contract printing/packing support b. Contract scanning/filing/mailing support c. Invoice packing/mailing support d. Completion report/AR bank statement e. Chop admin for Q2C owned Contract management related chops

在COCLOUD你可以接觸到產業動態及雲端技術 誠摯邀請您的加入來更強健我們的團隊! 【工作內容】 1.提供雲端相關服務功能之建議 2.處理雲端服務或相關產品技術功能問題諮詢 3.技術測試與研究，分析可行性，優化解決方案與標準操作流程 4.輔導客戶上線，並協助客戶處理雲端操作面上遇到的問題 【您須具備的條件】 1.熟悉資通訊服務底層系統、應用與網路等多方協同作業 2.對Linux、Windows等作業系統有操作或管理經驗 3.熟悉Infrastructure環境規畫與解決方案部署 4.熟悉雲端網路安全及資訊安全架構之相關服務，如WAF、高防、Anti-DDoS 【加分條件】 1.良好的溝通能力、主動積極負責、抗壓性高 2.具有雲端環境操作、管理或實際專案遷移等經驗（如AWS/GCP/ALI/Azure）者優先考慮 3.具有相關雲端資訊安全認證者佳 4.曾有資通訊服務管理或開發經驗者佳 5.具有主要雲端供應商（如AWS/GCP/ALI/Azure）服務專業認證者佳

資安架構師 (Security Architect) **工作內容** 1. 規劃與設計企業資安架構，涵蓋資料中心、雲端/混合雲、核心網路、WAN、分支與邊緣環境。 2. 定義資安策略與藍圖，支援客戶數位轉型過程。 3. 建置與導入資安解決方案，包括： - 零信任架構 (Zero Trust) - SASE - 雲端/雲原生資安與工作負載防護 - 網路分段與裝置身分驗證 - 資料保護與加密 - 合規監管 (特別是金融服務業) - 偵測、防禦、SOC 能力 - 規劃資安營運自動化與監控偵測需求，提升防護與回應能力。 - 研究並評估市場上的資安解決方案，提出技術建議。 **資格條件** - 10 年以上企業資安架構設計與實作經驗。 - 熟悉 SDN、資安防禦、滲透測試等核心技術。 - 具備跨資料中心、雲端、企業網路的資安解決方案導入經驗。 - 曾參與製造業或金融業相關資安專案經驗者佳。 - 具備 CCNP 或 CCIE 證書者優先錄用。 - 熟悉企業資安架構最佳實務。 - 具備良好溝通與簡報能力，能與高階主管及技術團隊互動。 - 曾參與製造業或金融業相關資安專案經驗者佳。 - 具備 CCNP 或 CCIE 證書者優先錄用。 - 熟悉企業資安架構最佳實務。 - 具備良好溝通與簡報能力，能與高階主管及技術團隊互動

- Proficient Software Development with Microsoft Technologies - Collaborative Problem-Solving and Stakeholder Engagement - Agile Learning and Technology Integration

Please submit your resume via the following link：https://mobagel.typeform.com/to/ojShbwVv Job Function - Architect and deploy scalable AI systems and MLOps pipelines on AWS, Azure, GCP, or on premise. - Build end-to-end pipelines for data ingestion, feature engineering, model training, and LLM integration. - Design multimodal systems combining AutoML, MLOps, and LLM with automation for AI Agent workflows. - Implement CI/CD using Kubernetes (K8s) with tools like Kubeflow, and Airflow. - Orchestrate job queues (e.g., RabbitMQ, Celery, Kafka) and automation platforms (e.g., n8n, Dify). - Validate performance via A/B testing, canary deployments, and continuous monitoring. Your Impact - Lead innovative AI Agent builder architecture design. - Enhance system efficiency, scalability, and reliability for real-time AI Agent applications. - Set best practices for AI infrastructure and mentor technical teams. Qualifications - Bachelor’s in CS, AI, or related field (Master’s/PhD preferred) - 5+ years in AI system architecture, cloud computing, and distributed systems. - Expertise in MLOps, AI Agent orchestration, and end-to-end ML pipeline development. - Proficient with AWS, Azure, GCP, or on premise solutions. - Strong experience with Kubernetes, CI/CD automation, and container orchestration. - Familiar with AI/ML/LLM frameworks and tools (HuggingFace Transformers, LangChain, etc.) and configuration management (YAML). - Bonus: Experience with AI coding assistants (GitHub Copilot, Cursor). - Skilled in performance tuning, system validation, and monitoring. Join Us - At MoBagel, you’ll work on state-of-the-art AI solutions, lead impactful projects, and be part of a dynamic, fast-paced startup environment.

(一) 整體技術服務策略與部門領導： 1. 擬定資訊技術與資安服務的中長期策略，協調 IT 部門運作與資源分配。 2. 提升部門技術能力與專案交付品質，確保服務符合企業客戶需求。 3. 負責預算規劃、人力發展、KPI 設定與績效管理。 (二) 雲端技術服務的提供： 1. 領導團隊提供公有雲的設計、部署、管理與優化服務。 2. 協助外部企業進行雲端轉型與架構調整，導入容器化、CI/CD、自動化等解決方案。 3. 提供雲端成本控管、高可用性架構、備援機制與效能調校之專業建議。 (三) 資訊安全服務的提供： 1. 推動外部企業資訊安全制度導入，如資安政策制定、零信任架構建置與資安評估服務。 2. 提供客戶資安顧問服務，包括資安健檢、滲透測試、法規遵循。 3. 管理資安解決方案導入。 (四) SOC 資安監控中心管理： 1. 規劃並營運 SOC 資安監控中心，提供 7x24 威脅監控、通報與事件應變服務 (SIEM/SOAR)。 2. 領導威脅獵捕、資安事件鑑識與客戶通報流程，並導入資安自動化分析機制。

A Container Platform Engineer/Architect is responsible for designing, implementing, and maintaining container platforms that facilitate the deployment, management, and scaling of containerized applications as the base. This role is expected to be a key player in a multi-disciplinary team made up of cross technology vendors, cross business units from customers or internal delivery teams. The brightest and creative minds collaborating with clients as one team and contributing to experiential working sessions and builds. Key Responsibilities 1. Platform Design and Implementation • System Architecture: Design and implement scalable and reliable container platforms, such as Kubernetes, Docker Swarm, or OpenShift. • Providing architecture or technology selections opinions with consultative view. • Infrastructure Integration: Integrate container platforms with existing infrastructure, including CI/CD pipelines, monitoring tools, and security systems. • Automation: Automate the provisioning, configuration, and management of container platforms to ensure consistency and efficiency. • System Operation: Design and implement platform operation mechanism such as logging, RBAC, identity management, 2. Platform Maintenance and Optimization • Monitoring and Logging: Set up comprehensive monitoring and logging solutions to ensure the health and performance of the container platform. • Performance Tuning: Optimize container performance by fine-tuning resource allocation, load balancing, and scaling policies. • Upgrades and Patches: Regularly update and patch the container platform to incorporate the latest features and security fixes. 3. Security and Compliance • Security Best Practices: Implement security best practices to protect containerized applications and data from vulnerabilities and attacks. • Compliance: Ensure that the container platform complies with industry standards and regulations, such as GDPR, HIPAA, or SOC 2. • Incident Response: Develop and implement incident response strategies to address security breaches and other critical incidents. 4. Collaboration and Support • Cross-Functional Collaboration: Work closely with development, operations, and security teams to align container platform initiatives with organizational goals. • Technical Support: Provide technical support and guidance to development teams to help them leverage the container platform effectively. • Documentation: Maintain comprehensive documentation of the container platform architecture, configurations, and processes. Required Skills and Qualifications Technical Skills • Containerization Technologies: Proficiency in containerization technologies, such as Docker and Kubernetes. • Cloud Platforms: Experience with cloud platforms, such as AWS, Azure, or Google Cloud, and their container services. • Automation Tools: Familiarity with automation tools, such as Ansible, Terraform, or Helm. • Programming Languages: Proficiency in programming languages, such as Python, Go, or Bash, for scripting and automation. • Networking: Strong understanding of networking concepts and protocols, including load balancing, DNS, and ingress controllers. Professional Experience • Industry Experience: At least 3-5 years of experience in system administration, DevOps, or a related field. • Container Experience: Proven experience in deploying and managing containerized applications using Docker, Kubernetes, or similar technologies. • Cloud Experience: Experience with cloud infrastructure and services, particularly in a containerized environment. Career Path and Growth Opportunities A Container Platform Engineer can advance their career by specializing in areas such as container security, cloud-native development, or platform architecture. They may also move into leadership roles, such as DevOps Manager or Cloud Architect, where they can oversee broader infrastructure and development initiatives.

工作內容 - 負責金融平台等技術架構設計與開發規劃。 - 與 PM（產品經理）合作，將業務需求轉化為技術方案與開發計劃。 - 帶領內外部工程團隊，進行系統設計、開發、測試與上線管理。 - Code Review、最佳化程式品質、維護版本控制與開發規範。 - 建立技術 roadmap，規劃中長期系統演進（模組化、微服務化、API 串接等）。 - 追蹤並導入新技術（金融交易自動化、API 安全、技術架構），提升開發效率與穩定性。 條件要求 - 7 年以上軟體開發經驗，3 年以上技術團隊管理經驗。 - 熟悉金融交易系統/基金平台/券商 API 開發。 - 前端框架：Nuxt / Vue / Angular 至少一種熟悉。 - 後端：.NET Core（必備）。 - 熟悉資料庫設計 (MS SQL / PostgreSQL / MySQL) 與高併發架構。 - 熟悉CI/CD以及DevOps 流程。 - 具金融科技、券商、投顧或大型 SaaS 經驗者佳。 加分條件 - 熟悉 Python / Node.js / Java。 - 具備 APP (iOS / Android) 開發經驗。 - 曾帶領 5 人以上開發團隊。 - 熟悉資安規範 (ISO 27001、FSC 資安要求)。 - 有金融系統或自動化交易平台經驗。

1. 伺服器規劃、建置、維護與管理 (Windows Server, Linux, etc.) 2. 系統監控、故障排除、效能調校 3. 虛擬化平台管理 (VMware, Nutanix) 4. 雲端平台 (AWS, Azure, GCP) 服務規劃、建置、維護與管理 5. 雲端資源監控、故障排除、效能調校 6. 自動化部署與管理 (Infrastructure as Code, Terraform, Ansible) 7. 容器化技術 (Docker, Kubernetes) 8. CI/CD 流程建置與維護 9. 雲端安全管理與防護 10. 雲端架構設計與規劃 11. 導入與評估新技術 12. 主管交辦事項

1. SecOps團隊管理、SOC服務規劃 2. 資安事件監控、分析、通報統籌管理運維 3. 指導資安工程師資安案件追蹤、客戶問題處理 4. 督導資安事件分析與研究，報告撰寫及簡報 5. 執行資訊安全專案及主管交辦項目 6. 資安技術解決方案的評估、規劃與導入