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1. 協助雲端架構規劃及部署 2. 協助提供雲端解決方案與支援服務導入 3. 有雲端產品學習意願與能力, 並能勝任 presales 角色

蓋亞資訊代理國際雲端服務(GCP、Ａzure、AWS、阿里雲)、雲端資訊安全(Imperva)、雲端應用等雲端服務(1). 雲端網路架構規劃，協助客戶導入雲端服務。 (2). 執行客戶POC測試與服務上線。(3). 回應客戶技術的問題，提供產品技術諮詢。(4). 處理客戶障礙問題判斷與異常排除。(5). 網路環境管理及監控，專案管理與文件報告製作。

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. Role: We are seeking outstanding engineers to join TSMC IT infrastructure team to build and orchestrate cloud services to support world-class semiconductor foundry. This team is responsible to design, implement and optimize IT infrastructure toward software-defined computing, storage and networking with cloud technologies. The successful candidate should have strong technical skills and dedication for operation excellence. Responsibilities: 1. Assist the cloud architect to refactoring or migrate the legacy systems as cloud native services. 2. Participate in architecture planning and build cloud environment with cloud architects, project technical support, enterprise solutions based on Azure, AWS or GCP 3. Effective use of professional domain knowledge to assist in maintenance and troubleshooting 4. Cloud services technical support

We are looking for an experienced Senior Software Engineerwho is passionate about building high-performance backend systems. You will work closely with a talented engineering team in an Agile environment, contributing to all stages of product development — from architecture design, coding, code review, to production operations. Our product is a next-generation social platform that integrates social media, personalized feed, rating review systems, community engagement, social gamification, real-time chat, and merchant services. The platform is built with a complex microservice architecture, designed to handle millions of users, massive data streams, and high concurrent traffic efficiently. The system is deeply integrated with AI, leveraging machine learning and large language models (LLMs) to enable content understanding, recommendation, fraud detection, and intelligent moderation. You will have the opportunity to work closely with AI engineers to design scalable APIs, data pipelines, and backend infrastructures that power these intelligent features across the social ecosystem.Mô tả công việcDesign, develop, and maintain backend services using Java (Spring Boot / Vert.x / Quarkus) and Kotlin;Build and integrate RESTful APIs, gRPC services, and external third-party systems;Design scalable, reliable, and fault-tolerant architectures that meet performance and business requirements;Write clean, maintainable, and testable code following SOLID principles and modern best practices;Conduct code reviews, optimize performance, and improve database queries (MySQL / MongoDB / Redis / Kafka / ElasticSearch/ HBase/ ClickHouse);Collaborate with DevOps teams to implement and maintain CI/CD pipelines (ArgoCD, Docker, Kubernetes, GitLab CI) across cloud environments (AWS / GCP / Azure);Apply best practices for performance tuning, caching, monitoring, logging, and observability;Work closely with AI and data teams to integrate backend services with machine learning and data pipelines;Mentor and support junior developers, fostering a culture of technical excellence and continuous improvement.Yêu cầu công việcBachelor’s degree in Computer Science, Software Engineering, or a related field;3–6+ years of hands-on experience in Java (Kotlin) development for production systems;Strong proficiency in Spring Boot or Vertx, with understanding of reactive or asynchronous programming;Experience with REST / gRPC APIs and message queues (Kafka, RabbitMQ);Solid understanding of OOP, design patterns, concurrency, and memory management;Experience working with OLAP systems, data analytics pipelines, or data warehousing technologies;Proficient in working with SQL / NoSQL databases (Oracle, MongoDB, Redis, HBase etc.);Familiar with Docker, Kubernetes, and cloud environments (AWS / GCP / Azure);Strong problem-solving skills, logical thinking, and a sense of ownership;Good communication and collaboration skills across teams.

❗️投遞履歷請一律至專屬的職缺網頁：https://25sprout.teamdoor.io/s/ML8ElGFS 目前此職缺為常態徵才，直接透過 Cake平台投遞將不會回覆唷 我們正在尋找一位 Mid-level SRE（Site Reliability Engineer），成為團隊的可靠後盾。你的任務是確保系統穩定運行、雲端環境高效管理、流程持續自動化，讓用戶體驗更順暢、工程師開發更專注。如果你熱愛新技術，喜歡動手解決問題，也樂於與不同角色協作，歡迎加入我們一起：） ▍你的工作將包括： Linux 作業系統管理與維運（RedHat / Debian / Ubuntu 等）網站/應用環境建置與維護（LAMP / LNMP）CI/CD 流程整合與最佳化（Jenkins / GitLab CI/CD）憑證、金鑰與機密管理（SSL/TLS、Vault 等）雲端平台資源管理（AWS EC2 / S3 / RDS、Azure、GCP 等）建置監控與告警系統，確保服務高可用性（Prometheus / Grafana / ELK）自動化工具與基礎架構即程式碼導入（Terraform / Ansible / CloudFormation）

Mô tả công việcArchitect end-to-end generative AI solutions including Large Language Models (LLMs), multimodal AI systems, and AI-powered applicationsDesign and implement scalable generative AI systems leveraging state-of-the-art models such as GPT, Claude, Llama, and other foundation modelsBuild production-ready generative AI products including conversational AI, content generation, code generation, and intelligent automation systemsDevelop and optimize LLM fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), and model alignment techniquesLead cross-functional collaboration with data scientists, ML engineers, product managers, and business stakeholders to deliver complete AI solutionsEstablish MLOps practices for generative AI including model versioning, A/B testing, monitoring, and continuous deploymentMentor engineers and provide technical leadership in generative AI best practices and emerging technologiesResearch and evaluate new generative AI techniques, tools, and frameworks to maintain competitive advantageEnsure responsible AI practices including safety, fairness, privacy, and ethical considerations in all AI systemsYêu cầu công việc3+ years of relevant professional experience in AI/ML with 2+ years specifically in Generative AIDeep expertise in Large Language Models, transformer architectures, and generative AI techniquesHands-on experience with foundation models (GPT-4, Claude, Llama, Gemini) and fine-tuning approaches (LoRA, QLoRA, PEFT)Production experience with generative AI applications including RAG systems, AI agents, and conversational AIStrong programming skills in Python with proficiency in PyTorch, Transformers, LangChain, and modern AI frameworksExperience with cloud platforms (AWS, GCP, Azure) and AI/ML services for model deployment and scalingLeadership experience in guiding technical teams and driving AI product development

AI Engineer with full-stack capabilities in Computer Vision and NLP, supporting the building, testing, and deployment of machine learning models and algorithms. The role works closely with senior engineers and cross-functional teams (product, marketing, data science) to integrate AI features into user-facing products and internal tools. Responsibilities also include improving AI pipeline performance, monitoring and evaluating deployed AI systems in operation, and assisting in the development of AI-powered internal tools such as assistant bots for content generation, marketing workflows, and other internal processes.Mô tả công việcDevelop and test AI-driven features in collaboration with the senior engineering team, focusing on marketing tools, user engagement, and automation products.Assist in building and improving internal AI tools, such as bots for content generation and workflow automation, to enhance team productivity.Support the deployment and maintenance of machine learning models and ensure their effectiveness in production environments.Continuously monitor AI systems and suggest improvements based on user feedback and system performance.Work in an agile environment, participating in sprint planning, development, and testing cycles.Yêu cầu công việcBachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.Basic understanding of AI/ML concepts and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.Proficiency in programming languages like Python, with a solid understanding of coding practices and principles.Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.Strong analytical and problem-solving skills, with a willingness to learn and adapt to new technologies and challenges.Good communication skills and the ability to work collaboratively within a teamExperience with project about Computer vision and NLP

The Senior Lead Networking Test Engineer will be responsible for defining, developing, and executing comprehensive test strategies for our cutting-edge data center network solutions. This role is a blend of hands-on technical expertise, strategic planning, and leadership. You will lead a small team of test engineers, mentor junior members, and collaborate closely with network architects, developers, and operations teams to deliver robust, high-performance, and scalable network solutions for our data centers. This position requires deep expertise in modern data center networking technologies, automation, and a passion for quality assurance.Required Qualifications• Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Network Engineering, or a related technical field.• 8+ years of experience in network engineering, network operations, or network testing roles, with at least 3 years focused specifically on data center networking.• 3+ years of experience in a lead or senior technical role, mentoring junior engineers or leading test initiatives.• Expert-level understanding and hands-on experience with Layer 2 and Layer 3 networking protocols in large-scale data center environments (e.g., BGP, OSPF, ISIS, MPLS).• Extensive experience with modern data center interconnect technologies (EVPN/VxLAN).• Strong knowledge of high-performance networking, including RDMA over Converged Ethernet (RoCE) and associated congestion control mechanisms (PFC, ECN, DCQCN).• Familiarity with network operating systems like SONiC (preferred), Cisco NX-OS, Arista EOS, and Juniper Junos.• Proficiency in at least one scripting language (e.g., Python, Go) for test automation, API integration, and data processing.• Experience with network automation tools (e.g., Ansible, Terraform, Netmiko, NAPALM).• Experience building and maintaining test frameworks (e.g., Robot Framework, Pytest).• Proven experience designing and executing various types of network tests: functional, performance (throughput, latency, jitter), scalability, reliability, and security.• Expertise with network testing tools (e.g., IXIA, Spirent, Keysight, TRex, Ostinato, SmartBits).• Strong packet analysis and troubleshooting skills using Wireshark, tcpdump, or similar tools.• Strong proficiency in Linux/Unix operating systems.• Understanding of virtualization (VMware, KVM) and containerization technologies (Docker, Kubernetes).• Exceptional analytical and problem-solving skills with a meticulous attention to detail.• Ability to isolate complex network issues spanning multiple layers and technologies.Preferred Qualifications• Experience with SDN controllers and orchestration platforms.• Experience with ESXi• Familiarity with cloud networking concepts (AWS, Azure, GCP).• Knowledge of network security principles and testing.• Relevant industry certifications (e.g., CCIE, JNCIE, CCNP Data Center, Linux Foundation Certified Engineer, Mellanox certifications).

About BTSE:彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms. 彼特思方舟 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market.BTSE Group is a leading global fintech and blockchain company that is committed to building innovative technology and infrastructure. BTSE empowers businesses and corporate clients with the advanced tools they need to excel in a rapidly evolving and competitive market. BTSE has pioneered numerous trading technologies that have been widely adopted across the industry, setting new benchmarks for innovation, performance, and security in fintech. BTSE’s diverse business lines serve both retail (B2C) customers and institutional (B2B) clients, enabling them to launch, operate, and scale fintech businesses. BTSE is seeking ambitious, motivated professionals to join our B2C and B2B teams.About the Opportunity:We are seeking an experienced and highly skilled Senior Network Engineer to design, implement, and maintain enterprise network infrastructure that supports mission-critical business operations. This role requires deep technical expertise in networking technologies, strong problem-solving skills, and the ability to collaborate across teams to ensure secure, reliable, and high-performance connectivity.Responsibilities:Network Design ImplementationArchitect, configure, and deploy LAN, WAN, WLAN, and cloud networking solutions.Lead network upgrades, migrations, and integration projects.Operations MaintenanceMonitor, troubleshoot, and optimize network performance to ensure high availability.Manage switches, load balancers, and other security/network appliances.Maintain accurate network documentation, diagrams, and configurations.Security ComplianceImplement and enforce network security best practices, including segmentation, access control, and threat mitigation.Collaborate with security teams to ensure compliance with regulatory and corporate standards.Collaboration SupportPartner with SRE, IT team, cloud engineers, and application teams to deliver end-to-end solutions.Mentor junior engineers and contribute to knowledge-sharing initiatives.Continuous ImprovementEvaluate emerging technologies and recommend solutions to enhance scalability, resilience, and cost efficiency.Participate in disaster recovery and business continuity planning.Requirement:Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience).7+ years of hands-on experience in enterprise networking roles.Strong expertise in routing, switching, and network protocols (TCP/IP, BGP, OSPF, MPLS, etc.).Proficiency with firewalls, VPNs, and network security technologies ( Palo Alto, Fortinet, etc.).Experience with cloud networking (AWS, Azure, or GCP).Familiarity with network automation and scripting (Python, Ansible, etc.) is a plus.Relevant certifications (e.g., CCNP, CCIE, or equivalent) preferred.Excellent analytical, troubleshooting, and communication skills.Perks BenefitsCompetitive total compensation packageVarious team building programs and company eventsComprehensive healthcare schemes for employees and dependantsAnd many more! Apply and let us tell you more!#LI-JY1

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.Job Description Astera labs is seeking a skilled and motivated Data Scientist. This individual will play a pivotal role in identifying key data points for collection, developing strategies to accumulate data and deriving actionable insights an anomaly based on a solid foundation of relevant know-how. Also, will also be responsible for creating, testing, and deploying scripts and methods for data collection and analysis to support decision-making. The Engineer will collaborate with cross-functional teams to identify critical data sources to determine the most effective data collection strategies, will develop automated and scalable data collection pipelines, will ensure data quality, integrity, and consistency across all sources and may use AI techniques to refine the results toward failures predictions. Basic Qualifications Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field. Advanced degrees in data science or Machine learning / AI - Advance. Proficiency in programming languages such as Python, R, or MATLAB. Strong understanding of data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). Understanding of high speed interfaces such as Ethernet, PCI-E , WiFi. Experience with data visualization tools such as Tableau, Matplotlib, Graphana. Strong analytical and critical-thinking skills to identify patterns and outliers. Customer-obsession, Think and act with the customer in mind! Goal-driven, Self-motivated, be able to work independently and with teams with people around the globe. Entrepreneurial, open-minded behavior and can-do attitude. Required Experience Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). Machine learning and AI techniques and frameworks (e.g., TensorFlow, Scikit-learn). Proven ability to manage multiple tasks and meet deadlines. Preferred Experience Embedded Firmware development with C-language, scripting with Python or other equivalent programming languages. Master’s degree in a relevant field. Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing. Familiarity with big data technologies (e.g., Hadoop, Spark). Knowledge of engineering design tools and processes. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.