Cake 找工作

About the role You will join our Innovation Technology team to support the research and development of software prototypes and proof-of-concept products. This is a learning-focused role; you will not be involved in production systems or commercial deployment. What you will do Assist in building software prototypes and internal RD tools under the guidance of senior engineersUse AI-assisted coding tools (such as Cursor, Claude Code, GitHub Copilot) as part of your development workflowParticipate in user research activities - interviewing, observing, and synthesizing feedback from intended users of the prototypesContribute to design and iteration cycles based on user inputDocument your work and share findings with the team

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. The Role: We're seeking a senior developer to join our team. You will design, build, and operate large-scale data and ETL systems that power the firm's research and investment workflows. This is a high-autonomy role - you'll own critical systems end-to-end, make architectural decisions, and deliver solutions with minimal guidance. We need someone who is self-directed, able to lead themselves, take ownership of outcomes, and drive complex problems to resolution independently. You should be comfortable communicating across teams, articulating technical trade-offs to stakeholders, and mentoring others through code review and collaboration. What You'll Do: Design, develop, and own backend services and data pipelines that process large volumes of data optimally and at scale Architect data storage and processing solutions, including schema design, query optimization, and data modeling Build and maintain APIs, messaging systems, and integration layers that connect data producers and consumers Drive technical decisions - evaluate trade-offs, choose the right tools, and define system boundaries Take ambiguous requirements and break them down into deliverable, well-engineered solutions Diagnose and resolve complex production issues - applying strong analytical and systems thinking Improve engineering practices: testing, CI/CD, observability, and documentation What You'll Bring: 8+ years of professional software development experience Strong programming proficiency: Mastery of at least one major programming language (Python, Java, Go, C++, or equivalent). Beyond syntax fluency, you should understand language internals and be able to apply that depth to write performant, reliable code System design: Proven ability to architect distributed, scalable, and fault-tolerant systems. Understanding of common patterns - event-driven architecture, service decomposition, data partitioning, caching strategies Data engineering: Experience building ETL/ELT pipelines, working with batch and streaming data, and handling large-scale data processing Database proficiency: Deep understanding of relational databases (PostgreSQL, MySQL) and familiarity with analytical/columnar stores; strong SQL skills including query optimization Software engineering depth: Strong grasp of data structures, algorithms, design patterns, and software architecture principles - applied in production, not just theory API design: Experience designing clean, well-documented REST/gRPC APIs Incident response mindset: Ability to diagnose production issues methodically, drive root-cause analysis, and feed into post-mortems and operational improvement AI-agent readiness: Openness to working alongside AI coding agents and LLM-powered tools as part of the development workflow - using AI as a force multiplier for code generation, review, debugging, and documentation Nice to Have: Python mastery: Advanced knowledge of Python internals, concurrency (asyncio, threading, multiprocessing), performance profiling, packaging, and strong experience with frameworks such as FastAPI/Flask, SQLAlchemy, pytest, and mypy/type annotations Observability and distributed tracing: Experience with monitoring and observability stacks - metrics, structured logging, distributed tracing (OpenTelemetry, Grafana, ELK) - for diagnosing system behavior and bottlenecks in production DevOps practices: Familiarity with containerization (Docker), CI/CD pipelines (GitLab CI, Jenkins), and infrastructure-as-code (Ansible, Terraform) Programming language versatility: Proficiency in additional languages that complement data platform work - C++ for performance-critical systems, Scala for distributed data processing with Apache Spark, or Rust for high-performance data engineering Team leadership and management: Experience leading a development team, running sprints, conducting code reviews, mentoring engineers, and managing stakeholders' expectations Message queues and streaming: Experience with Kafka, Redis, or similar event-driven architectures Data orchestration: Exposure to Airflow or similar workflow orchestration frameworks Frontend / full-stack awareness: Familiarity with modern web technologies (React, TypeScript) for building internal UIs and dashboards Financial services or quantitative finance background Open-source contributions or a public portfolio of technical work 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-QM1 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.

MoMo is the market leader in mobile payments in Vietnam. We strive to make all transactions fast, easy and joyful. We are looking for an experienced Software Engineer to join our growing Big Data AI team. At MoMo, we make AI/Machine Learning the core component to almost every part of the product - product recommendation, personalization, conversational AI, eKYC, risk scoring, fraud detection, promotion targeting and financial services.As a Software Engineer specializing in Enterprise Applications, you will play a pivotal role in crafting and deploying advanced business solutions to millions of users. This position offers a unique chance to make a significant impact by leveraging highly available and scalable systems to transform financial services and business operations. Join us in pushing the boundaries of AI technology and shaping the future of mobile payments in Vietnam.Mô tả công việcDevelop and Implement Enterprise Application Solutions: Design, build, and maintain advanced enterprise systems that enhance business operations, utilizing cutting-edge technologies and scalable architectures.Analyze and Critique Product Requirements: Evaluate and provide feedback on product requirements to ensure feasibility and alignment with technical capabilities.Contribute to AI System Architecture Reliability: Participate in the design of systems and infrastructure, ensuring robustness for AI-driven financial services and implementing observability patterns to monitor system health at scale.Maintain High Standards of Code Quality: Write clean, maintainable, and efficient code in Kotlin and Python, and participate in code reviews to uphold the team's quality standards.Collaborate with Cross-Functional Teams: Work closely with product managers, data scientists, and other engineering teams to integrate AI/ML-driven features into our platform, ensuring resilient and seamless user experiences for millions.Optimize Operations Infrastructure: Share your expertise in modern deployment practices (CI/CD) and container orchestration with the team, fostering a culture of continuous learning and system stability.Yêu cầu công việcStrong Problem-Solving Skills: You have a proven track record of tackling complex technical challenges and delivering effective solutions, particularly in the realm of AI and machine learning.Ownership and Proactivity: You take initiative and are driven to see projects through from start to finish. You are someone who can be relied upon to deliver results with minimal supervision.Backend Engineering Proficiency: Minimum 5 years of experience as a Software Engineer, with strong skills in backend languages like Kotlin, Python, Java, or Go.Distributed Systems Cloud-Native Expertise: Strong knowledge of cloud-native technologies (Kubernetes, Docker) and Infrastructure as Code (Terraform/Pulumi). Proven experience in building and maintaining high-traffic distributed systems, including familiarity with message brokers (e.g., Kafka, RabbitMQ) and monitoring stacks (Prometheus, Grafana, or ELK). Experience with cloud platforms (AWS/GCP) is highly valued.High Standards for Quality: You take pride in your work and strive to deliver solutions that are not only functional but also maintainable and scalable.Innovative and Forward-Thinking: You are passionate about exploring new technologies and finding ways to apply them to improve user experiences and business processes.Collaborative and Communicative: You work well in a team environment and can communicate effectively with technical and non-technical stakeholders alike.

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 Vert.x, 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.

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

MoMo is the market leader in mobile payments in Vietnam. We strive to make all transactions fast, easy and joyful. We are looking for an experienced Software Engineer to join our growing Big Data AI team. At MoMo, we make AI/Machine Learning the core component to almost every part of the product - product recommendation, personalization, conversational AI, eKYC, risk scoring, fraud detection, promotion targeting and financial services.As a Software Engineer specializing in Enterprise Applications, you will play a pivotal role in crafting and deploying advanced business solutions. This position offers a unique chance to make a significant impact by leveraging Enterprise Applications and scalable systems to transform business operations for millions of users. Join us in pushing the boundaries of enterprise technology and shaping the future of mobile payments in Vietnam.Mô tả công việcDevelop and Implement Enterprise Application Solutions: Design, build, and maintain advanced enterprise systems that enhance business operations, utilizing cutting-edge technologies and scalable architectures.Analyze and Critique Product Requirements: Evaluate and provide feedback on product requirements to ensure feasibility and alignment with technical capabilities.Contribute to System Architecture: Participate in the design and architecture of systems and infrastructure, ensuring robustness and scalability.Maintain High Standards of Code Quality: Write clean, maintainable, and efficient code in Kotlin and Python, and participate in code reviews to uphold the team's quality standards.Collaborate with Cross-Functional Teams: Work closely with product managers, data scientists, and other engineering teams to integrate enterprise-driven features into our platform, ensuring seamless user experiences.Mentor and Guide Team Members: Share your expertise with less experienced team members, fostering a culture of continuous learning and development within the team.Yêu cầu công việcStrong Problem-Solving Skills: You have a proven track record of tackling complex technical challenges and delivering effective solutions, particularly in the realm of AI and machine learning.Ownership and Proactivity: You take initiative and are driven to see projects through from start to finish. You are someone who can be relied upon to deliver results with minimal supervision.Backend Engineering Proficiency: Minimum 5 years of experience as a Software Engineer, with strong skills in backend languages like Kotlin, Python, Java, or Go.Big Data Technologies Expertise: Hands-on experience with distributed systems and big data technologies including Apache Kafka for real-time data streaming, Hadoop ecosystem (HDFS, MapReduce, Hive, Spark), and data processing frameworks. Experience with data warehousing solutions like Apache Airflow, Elasticsearch, and cloud-based big data platforms (AWS EMR, Google Cloud Dataflow, or Azure HDInsight) is highly valued.High Standards for Quality: You take pride in your work and strive to deliver solutions that are not only functional but also maintainable and scalable.Innovative and Forward-Thinking: You are passionate about exploring new technologies and finding ways to apply them to improve user experiences and business processes.Collaborative and Communicative: You work well in a team environment and can communicate effectively with technical and non-technical stakeholders alike.

Shinhan DS Vietnam is established to be in charge of the ICT synergy of Shinhan Financial Group in Southeast Asia. SDSer's top priority is accelerating the client's business growth by strengthening its ICT systems. Collaborate closely with clients and IT professionals in the anal

Phát triển và vận hành hệ thống: Các hệ thống Back-end đáp ứng nhu cầu của 1-5 triệu người dùng traffic cao (Video, Audio) trong 3-5 năm tớiTriển khai các kiến trúc Micro-service và Domain-Driven Design để thực thi các mục tiêu: tăng tốc độ triển khai sản phẩm, khả năng mở rộng cao cả về quy mô lẫn tính năng, tối ưu performance và reliability. Xử lý các nguồn dữ liệu multi-sensor: Brainwave Detection, Webcam Emotion Detection, Voice Recognition… để xây các mô hình và ứng dụng AI-based Personalized Learning, GPT hỗ trợ việc dạy và học Làm việc trong các squad team theo mô hình Agile với đầy đủ các role, phân chia theo A/B Testing-driven và Architecture-led projects, theo các nhóm End-User và Enterprise UserTech Environment: Micro-Service Architecture from Day 1; main tech stacks: Java, PHP, Python, SpringBoot, ReactJS, React Native, mySQL, mongoDB, Redis, Kafka. Infrastructure 100% based on K8s

Maintain high quality of products with participation in code review and design reviews.Build high quality products and contribute important impacts on our product roadmap planning.Propose and implement solutions/product with Java, JavaScript, SQL, Spring, Python and Shell ScriptsProvider guidance to Junior and suggestion to other colleagues with deep understanding of technology stacksPropose better software architecture with the right design pattern for a suitable situation.Provide in depth support to Technical Support AnalystWork with front end team to build a high perform, user friendly and stable web product.Solving puzzles from clients’ feedback and logs to find out the real cause.Research on up-to-date technology stacks to continue bring better performance and higher quality products to stakeholders.Write down documentation for different technology and knowledge to share knowledge among everyone.Provide insight for database performance and stability

ABOUT THE JOB Design, develop, and maintain Java-based applications using the latest technologies and tools.Collaborate with cross-functional teams to create high-quality software solutions.Write clean, maintainable, and efficient code according to industry best practices and principles.Develop and implement new features and enhancements.Troubleshoot and debug issues and incidents.Ensure the performance, quality, and responsiveness of applications.Stay up to date with emerging trends and technologies in software development.