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微程式（Microprogram，股票代號7721），為具備跨產業技術整合能力的產業資通訊共通設計中心​（ICT Design House​）。我們從產業需求設計、服務設計、解決方案規劃到軟硬體設計與開發，提供垂直式整合服務，透過智慧科技，協助交通、金融、零售、半導體製造、自行車等產業夥伴進行創新升級。目前聚焦於「電子支付、智慧設備、半導體感測控制」三大核心發展領域。 ▍團隊介紹 此職務隸屬於自動化測試團隊，專注於開發產品團隊的輔助工具與服務，並打造自動化、數據導向的測試流程，讓品質不只是達到標準，而是團隊的 DNA。在這裡，你不僅是工具的開發者，更是技術創新的推動者！ 隨著公司產品與開發規模持續成長，我們希望培育具備技術深度與跨域潛力的人才作為儲備幹部。期待你在團隊的系統化培訓與實戰歷練中，逐步成長為未來能主導自動化品質流程、推動測試效能提升，並具備帶領團隊能力的核心管理角色。 你將同時累積「功能開發」與「測試自動化」的經驗，與團隊攜手運用專業與創意，主動發現並解決問題，持續推動產品品質不斷進化！ ▍工作內容 參與產品團隊之內部輔助工具及服務開發，撰寫並維護程式碼。規劃並撰寫自動化測試，確保系統穩定性與品質。建立並優化測試流程，與 CI/CD 整合。協助團隊改善程式品質（Code Review、測試覆蓋率提升）。 ▍必備條件 熟悉 Python 程式設計（亦具備 JavaScript開發經驗者佳）。熟悉 Git 版本控制及協作流程。熟悉至少一種資料庫（MSSQL、MySQL 等）。 ▍加分條件 曾使用過自動化測試框架（如 Selenium、Playwright、Cypress、pytest 等）。曾使用過 Flask/FastAPI RESTful API 框架。有 CI/CD 或 DevOps 經驗。具前端或後端開發，熟悉跨團隊協作。 ▍人格特質 擁抱改變：對技術創新有敏銳洞察力、樂於學習，並具有推動變革與快速應用的熱情。擅於溝通：具備良好溝通能力與說服能力，能與團隊成員有效協作。主動積極：勇於接受挑戰，並能以正向積極的態度面對不同的商業模式與需求。 ▍關於我們的文化 在微程式，我們相信好的產品與服務來自彼此信任、坦誠溝通與持續共創。我們擁有： 開放的企業文化：團隊年輕有活力，熱愛想法激盪、討論與付諸實現。開創性工作內容：創新、創意是我們的DNA，不斷追求產品更加卓越。夥伴的價值共創：我們深信 1+12，團隊夥伴並肩共創走的更快更遠。

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. About WorldQuant BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. What You'll Do: Develop backend application services and APIs. Integrate systems with AWS and external cloud services. Optimize backend components for speed and scalability. Implement and manage caching, queuing and background processing. Participate in code reviews, technical design discussions and architecture decisions. Be an active member of an agile engineering team who is continuously looking to improve team performance. Work with leading cloud technologies (such as AWS, GCP). Work with leading open-source technologies (such as MySQL, PostgreSQL, ELK stack, Sentry, Redis, Git, etc.). Leverage modern AI tools and practices to increase developer productivity. Participate in periodic on-call duties. What You’ll Bring: 2+ years demonstrated experience developing scalable and robust software. Passion about software engineering, be strongly driven to build and run real-world applications at scale. Eagerness to learn and introduce new technologies. Be curious about what's happening in the tech world. Excellent coding skills, solid understanding of the broad Python ecosystem including Numpy, Pandas and Asyncio. Expertise in Python web frameworks such as Django, DRF, Flask or others. Experience with SQL databases (MySQL, PostgreSQL), including schema design, query optimisation and migrations. Experience with microservices, caching tools, data visualization, log collection and aggregation, search, queuing systems. Experience with Linux environment and shell scripting. Excellent debugging and problem solving skills. What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events, Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office!#LI-VP1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Participate in the development and maintenance of our large-scale, distributed storage platform. Organize the day-to-day work of the team working on the same software component Collaborate closely with internal stakeholders to comprehend business requirements, analyze issues, and propose solutions that align with our business goals. Provide technical support for platform-related issues, which includes diagnosing the root causes of technical problems and suggesting appropriate solutions. What You'll Bring: 3+ years of development experience with Go or Python (experience with both is a strong plus). Hands-on experience working with databases, preferably PostgreSQL. Experience building microservice-based solutions and REST APIs. Familiarity with build and packaging workflows (e.g. Docker, CI/CD pipelines, common build tools). Comfortable working in Unix/Linux environments. Strong focus on clean code, testing, and maintainable systems. Finance experience is a plus, but not essential. What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams #LI-MH1By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

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: You own all data ingestion and the API backend that powers the platform. You build a pluggableconnector framework that can ingest data from any financial data source — crypto exchangeWebSockets, on-chain analytics providers, news wires, regulatory filings, social media feeds — andexpose it through a fast, tenant-aware API. For the first client, this means crypto-specific data feeds and24/7 operation. The architecture must support adding entirely different data sources for future clientswithout re-architecture.ResponsibilitiesBuild a pluggable data connector framework: a standardised interface for adding new data sources, each publishing to an event bus with a common schema envelope. Build the first set of connectors: crypto exchange WebSocket feeds (price, order book, funding rates), on-chain analytics APIs, regulatory filing feeds, news wire APIs, social media filtered streams. Build a proprietary data ingestion interface: API and upload mechanism for enterprise clients to ingest their internal documents, research notes, and datasets into their isolated tenant storage. Build the FastAPI backend: RAG-powered QA endpoints, structured event analysis, WebSocket live feed, on-chain data queries, feedback collection — all tenant-aware. Build resilient WebSocket connection management for always-on data feeds: automatic reconnection, failover, deduplication. Own API performance: sub-2-second response times for AI-powered queries, sub-500ms for data queries.Requirements5+ years backend engineering; strong Python (FastAPI, asyncio, Pydantic). Deep experience with WebSocket architectures: persistent connections, reconnection logic, backpressure. Event-driven architectures: Kafka producers/consumers, message serialisation (Avro or Protobuf). REST and WebSocket API design with multi-tenant patterns. Experience building extensible, pluggable data ingestion frameworks.Nice to haveExperience with crypto exchange APIs (Coinbase, Binance, Deribit, OKX). Experience with on-chain data providers (Glassnode, CryptoQuant, Nansen, Dune). Familiarity with financial data formats across multiple asset classes. Experience building pipelines that operate 24/7 with no maintenance windows.#LI-MC1

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 7 years of writing production-quality code in Python on Linux platform Candidate must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams #LI-DN1By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

About BTSE: BTSE Group is a global leader in fintech and blockchain technology, anchored by threecore business pillars: Exchange, Payments, and Infrastructure Development. Servingover 100 corporate clients worldwide, we provide white-label exchange and paymentsolutions. Our offerings encompass everything from exchange infrastructure hostingand development to custody, wallets, payments, blockchain integration, trading, andmore.We are looking for talented professionals in marketing, operations, customer support,and other departments. The roles offered may be on-site, remote, or hybrid, incollaboration with our local partner. About the opportunity: You own all data ingestion and the API backend that powers the platform. You build a pluggableconnector framework that can ingest data from any financial data source — crypto exchangeWebSockets, on-chain analytics providers, news wires, regulatory filings, social media feeds — andexpose it through a fast, tenant-aware API. For the first client, this means crypto-specific data feeds and24/7 operation. The architecture must support adding entirely different data sources for future clientswithout re-architecture.ResponsibilitiesBuild a pluggable data connector framework: a standardised interface for adding new data sources, each publishing to an event bus with a common schema envelope. Build the first set of connectors: crypto exchange WebSocket feeds (price, order book, funding rates), on-chain analytics APIs, regulatory filing feeds, news wire APIs, social media filtered streams. Build a proprietary data ingestion interface: API and upload mechanism for enterprise clients to ingest their internal documents, research notes, and datasets into their isolated tenant storage. Build the FastAPI backend: RAG-powered QA endpoints, structured event analysis, WebSocket live feed, on-chain data queries, feedback collection — all tenant-aware. Build resilient WebSocket connection management for always-on data feeds: automatic reconnection, failover, deduplication. Own API performance: sub-2-second response times for AI-powered queries, sub-500ms for data queries.Requirements5+ years backend engineering; strong Python (FastAPI, asyncio, Pydantic). Deep experience with WebSocket architectures: persistent connections, reconnection logic, backpressure. Event-driven architectures: Kafka producers/consumers, message serialisation (Avro or Protobuf). REST and WebSocket API design with multi-tenant patterns. Experience building extensible, pluggable data ingestion frameworks.Nice to haveExperience with crypto exchange APIs (Coinbase, Binance, Deribit, OKX). Experience with on-chain data providers (Glassnode, CryptoQuant, Nansen, Dune). Familiarity with financial data formats across multiple asset classes. Experience building pipelines that operate 24/7 with no maintenance windows.#LI-MC1

客戶專案支援 Duties: This role focuses on supporting and improving tools that track bug reports and help identify issues in Bluetooth products. You will work on debugging log-related failures, enhancing the reliability and usability of internal tools, and extending Python-based infrastructure to better support the development and testing efforts of engineering teams. The position offers hands-on experience with both troubleshooting and building automation solutions that improve workflow efficiency. Responsibilities: • Investigate logs and debug tool failures affecting system reliability. • Improve tools that parse and reattach data to bug reports for better traceability. • Triage Bluetooth-related tooling issues and collaborate across teams. • Build and maintain Python scripts and frameworks to improve automation and monitoring.

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 looking for talented and motivated individuals to join a dedicated and diverse team in building up an exciting new product. We offer a fantastic culture and great career prospects.ResponsibilitiesCollaborate with team members on designing, developing, and unit-testing new features and modifications Design data structures and utilize appropriate design pattern to model and Implement business logic Strong problem solving and analytical skills Document source code and generate readable API documentations RequirementsDegree in CS or equivalent field 4+ years of professional experience in backend development Proficient in Javascript (TypeScript would be a plus) Proficient in any of the Node.js application framework technology (eg. express, koa, ...) Good understanding of asynchronous programming and data structures Experience in integrating with multiple data sources and databases (Relational and No-SQL) Positive attitude and willingness to work in a fast pace environment Master software engineering tools like Git, Jenkins, YARN or NPMPerks and BenefitsCompetitive total compensation package Various team building programs and company events Comprehensive healthcare schemes for employees and dependants And many more! Apply and let us tell you more!#LI-MC1

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable. What You'll Bring Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems. Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Expertise in version control systems (Git), CI/CD practices, and agile methodologies. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Experience in the finance industry is a plus but not required. Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus. #LI-DN1By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Introduction to the jobAre you passionate about Python and eager to apply your skills in real-world applications? We are seeking a Python Developer Intern who enjoys solving complex problems, working with data, and developing AI-driven solutions. This is an excellent opportunity to gain hands-on experience in a dynamic and innovative tech environment.Role and responsibilitiesAs a Python Developer Intern, you will contribute to the development and optimization of Python-based applications. You will work with technologies such as Pandas, Sphinx, Plotly, and Matplotlib, and gain exposure to AI-related projects. You will collaborate with our development team to enhance operational efficiency and contribute to technical documentation.Education and experienceCurrently pursuing or recently completed a degree in Computer Science, Software Engineering, Data Science, AI, or a related field with a strong emphasis on Python development.Experience in data manipulation, visualization, and documentation tools is a plus.Prior AI/ML coursework or projects will be considered favorably.SkillsStrong problem-solving and analytical skills.Ability to work independently and as part of a team.Detail-oriented with a focus on writing clean and efficient code.Strong verbal and written communication skills.Other informationyear contract (minimum 3 days per week).Familiarity with GitHub, CI/CD workflows, and Agile development is a plus.Travel %: 0%Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.