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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.

Mô tả công việcDevelop systems, services that serve Machine Learning models;Build framework for Machine Learning systems. Support operate the Machine Learning application;Driving technical collaborations with tech, business, product teams;Take ownership of your work, collaborate with Software Engineers, Machine Learning Engineers, Data Scientists to build systems using your engineering experience. As an example, suppose that we want to build a fraud detection system, you will take care of building the services necessary for retrieving user history, transforming loading data into machine learning models and connecting to other services for appropriate actions.Yêu cầu công việcAt least 4 years as a Software Engineer, with fluency and experience in either backend languages such as Java, Go, Python;Strong foundation engineering skills. Experienced in building high-performing systems;Experienced working with cloud services such as GCP, AWS, Azure is a plus;Strong problem solving;As a builder, you go the extra mile to bring your prototypes to production;Strong product ownership. You take a high responsibility for what you build. You keep a high bar for product quality;Strong collaboration skills. You reach out to help other team members.

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.

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

We are looking for an SDET (Software Development Engineer in Test) or Full-stack Developer who can take on multiple roles in system development, automated testing, and building internal support tools. This is an opportunity for you to participate in projects with modern technology, while contributing to cross-functional teams that deliver high-quality, robust, performance-optimized software to deliver the best user experience for our products.Mô tả công việcDevelop backend using Java and frameworks such as Spring Boot, Vert.x, Guice, etc.Develop internal tools to support software development and testing using React and Typescript/Javascript.Design, build, and maintain an Automation Test Framework using Selenium, Appium,… for web and mobile devices.Help to develop the automation foundation process as needed to ensure product quality.Collaborate with the DevOps team to implement and optimize the CI/CD process.Yêu cầu công việcBachelor’s Degree in Computer Science, Computer Engineering, or a closely related field;2+ years of experience in the related field;Proficient in Java programming;Experience with at least one Java framework such as Spring Boot, Vert.x, Guice, etc.Experience with React and Typescript or Javascript, especially in building internal tools;Ability to coordinate with DevOps to implement the CI/CD process;Ability to analyze and troubleshoot errors quickly;Logical thinking, careful, highly responsible, and proactive in work;Understanding of microservices architecture is a plus;Experience in developing and maintaining an Automation Test Framework with Selenium or Appium is a big plus;

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.