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Please visit this Google Careers posting for the Vietnamese-translated version of this role.Note: Google's hybrid workplace includes remote roles.Remote location: Vietnam.Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. Experience engaging with, or presenting to, technical stakeholders or executive leaders. Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops. Preferred qualifications: Experience promoting technical solutions in Cloud AI. Experience driving the entire business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution). Experience with security concepts (e.g., encryption, identity management, access control, attack vectors). Experience building technical strategies to uncover new workloads with customers. Experience migrating applications and services to cloud platforms. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Platform Customer Solutions Consultant, you will partner with sales teams to differentiate Google Cloud Platform (GCP) to the customers and serve as the customer’s primary technical partner and advisor, engaging in technical-led conversations to understand business issues. You will troubleshoot technical questions and roadblocks, engage in proofs-of-concepts and demos, and use the expertise to architect cross-pillar cloud solutions that solve business issues. You will drive the technical win and define the delivery and consumption plans to engage with technical and business leaders, and present solutions. You will focus on identifying, pursuing, and winning new business workloads and driving engagement within existing ones. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Develop and own the technical account plan and strategy, participate in planning and support the business goals. Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform (GCP) across the portfolio through demos, pilots and workshops. Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers, and continue to lead the technical engagement in the solution phase. Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams. Maintain awareness of progress against the delivery plan, provide support to cross-functional teams during ramp, delivery, migration or implementation phases. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Please visit this Google Careers posting for the English-translated version of this role.Note: Google's hybrid workplace includes remote roles.Remote location: Vietnam.Minimum qualifications:Bằng cử nhân hoặc kinh nghiệm thực tế tương đương.Có 6 năm kinh nghiệm trong vai trò làm việc trực tiếp hoặc hỗ trợ khách hàng về kiến trúc thuần đám mây.Có kinh nghiệm về kỹ thuật đám mây, kỹ thuật cơ sở hạ tầng tại chỗ, nền tảng ảo hoá hoặc container hoá.Có kinh nghiệm làm việc hoặc thuyết trình trước các bên kỹ thuật liên quan hoặc ban lãnh đạo cấp cao.Có kinh nghiệm về ngôn ngữ lập trình, gỡ lỗi, thiết kế hệ thống, tạo nguyên mẫu, bản minh hoạ hoặc tổ chức hội thảo khách hàng.Preferred qualifications:Có kinh nghiệm quảng bá các giải pháp kỹ thuật trong lĩnh vực AI trên nền tảng đám mây.Có kinh nghiệm xúc tiến hoạt động xuyên suốt chu kỳ kinh doanh (ví dụ: xác định kế hoạch triển khai và mức tiêu thụ, sau đó chuyển giao để thực thi).Có kinh nghiệm với các khái niệm bảo mật (ví dụ: mã hoá, quản lý danh tính, kiểm soát quyền truy cập, vector tấn công).Có kinh nghiệm xây dựng các chiến lược kỹ thuật để xác định các tải công việc mới cùng khách hàng.Có kinh nghiệm trong việc di chuyển ứng dụng và dịch vụ lên đám mây.About the jobĐội ngũ Google Cloud Platform giúp khách hàng chuyển đổi và kiến tạo tương lai cho doanh nghiệp của họ — tất cả dựa vào công nghệ tích hợp sẵn trên đám mây. Sản phẩm của chúng tôi được phát triển với ưu tiên về bảo mật, độ tin cậy và khả năng có thể mở rộng, vận hành full stack từ cơ sở hạ tầng cho đến ứng dụng, thiết bị và phần cứng. Các nhóm của chúng tôi luôn tận tâm trợ giúp khách hàng — các nhà phát triển, doanh nghiệp lớn và nhỏ, các tổ chức giáo dục và cơ quan chính phủ — tận dụng công nghệ của chúng tôi để mang lại lợi ích thiết thực. Khi tham gia cùng nhóm phụ trách doanh nghiệp trong lĩnh vực kinh doanh đang phát triển nhanh chóng này, bạn sẽ đóng góp một phần quan trọng vào việc nắm bắt nhu cầu của khách hàng và góp phần định hình tương lai của các doanh nghiệp ở mọi quy mô sử dụng công nghệ để kết nối với khách hàng, nhân viên và đối tác.Với vai trò là Cố vấn về giải pháp Platform cho khách hàng, bạn sẽ hợp tác với các nhóm bán hàng để giúp Google Cloud Platform (GCP) trở nên nổi bật trong mắt khách hàng, đồng thời đóng vai trò là đối tác và cố vấn kỹ thuật chính của khách hàng, trao đổi về mặt kỹ thuật với họ để hiểu rõ các vấn đề kinh doanh. Bạn sẽ tháo gỡ các vướng mắc và rào cản kỹ thuật, triển khai các dự án chứng minh tính khả thi và minh hoạ sản phẩm, đồng thời vận dụng kiến thức chuyên ngành để thiết kế những giải pháp đám mây liên ngành giúp giải quyết các vấn đề kinh doanh. Bạn là người hỗ trợ việc giành thắng lợi về mặt kỹ thuật, xác định các kế hoạch triển khai và mức tiêu thụ nhằm kết nối với các nhà lãnh đạo doanh nghiệp và chuyên gia kỹ thuật, đồng thời trình bày các giải pháp. Bạn sẽ tập trung vào việc xác định, theo đuổi và giành được các tải công việc kinh doanh mới, đồng thời thúc đẩy hoạt động tương tác trong các tải công việc hiện có. Google Cloud giúp mọi tổ chức đẩy nhanh năng lực chuyển đổi số cho hoạt động kinh doanh và ngành của mình. Chúng tôi chuyên cung cấp cho doanh nghiệp những giải pháp tận dụng công nghệ của Google, cũng như những công cụ giúp nhà phát triển xây dựng theo hướng bền vững hơn. Khách hàng tại hơn 200 quốc gia và vùng lãnh thổ đều xem Google Cloud là đối tác đáng tin cậy để thúc đẩy tăng trưởng và giải quyết các vấn đề trọng yếu trong hoạt động kinh doanh của họ.ResponsibilitiesXây dựng và làm chủ chiến lược cũng như kế hoạch kỹ thuật cho khách hàng, trực tiếp tham gia vào quá trình lập kế hoạch và hỗ trợ khách hàng đạt được các mục tiêu kinh doanh.Kết hợp chuyên môn trong lĩnh vực bán hàng, lập trình và thiết kế giải pháp để khẳng định giá trị của Google Cloud Platform (GCP) cho toàn bộ danh mục khách hàng thông qua các bản minh hoạ, chương trình thí điểm và hội thảo.Thiết kế các giải pháp liên ngành, giúp giành thắng lợi về mặt kỹ thuật, xác định kế hoạch triển khai ban đầu cho khách hàng và tiếp tục dẫn dắt các buổi trao đổi kỹ thuật trong giai đoạn triển khai giải pháp.Điều phối quá trình chuyển giao sau khi bán hàng bằng cách hỗ trợ các hoạt động định giá và bàn giao kế hoạch triển khai cuối cùng cho các nhóm thực hiện.Nắm rõ tiến độ so với kế hoạch triển khai, hỗ trợ các phòng ban liên ngành trong giai đoạn tăng cường, triển khai, di chuyển hoặc thực hiện.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Consult, design, and deliver migration projects from AWS, Azure, GCP, On‑premises, VMware to Oracle Cloud Infrastructure (OCI). Work on multi‑cloud / hybrid cloud environments (AWS – Azure – OCI). Perform assessment, define migration strategies (Rehost / Replatform / Refactor), design architectures, and execute migrations. Design and implement microservices, container, Kubernetes, Oracle databases, and data platforms. Conduct customer workshops, POCs, prepare HLD/LLD, support proposals, and operational handover Competitive salary with performance-based incentives and project-related bonuses. Comprehensive benefits package, including a 13th-month salary, business performance bonuses, and recognition for outstanding employee achievements (e.g., exceptional project outcomes, Employee of the Year, Top 50 FPT Telecom, Top 100 FPT, etc.). Opportunities to work in a professional environment with access to cutting-edge technologies. The company sponsors expenses for international certifications and exams relevant to your role. Full compliance with social insurance, health insurance, and unemployment insurance as mandated by law. FPT Care health insurance offering complimentary medical services (with the option to extend to family members at preferential rates), along with regular health check-up programs. Clear career advancement opportunities leading to managerial positions. A wide range of cultural activities, including team-building events, sports, and union activities such as International Women's Day and Men's Day

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 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.

MoMo is the leading mobile payments provider in Vietnam, committed to improving the lives of every Vietnamese through technological innovation. As our business continues to expand, we're looking for an experienced Data Engineer to join our Data Platform team. At MoMo, we emphasize smart, efficient, and excellent execution, with a strong focus on data quality. Our data platform delivers critical insights for:Business and app performance monitoring;Machine learning products including recommendation systems, personalization, risk scoring, fraud detection, targeted promotions, and financial services;We're also building a next-generation hybrid data platform across multiple cloud providers, giving us greater control over both cost and technology.Mô tả công việcWith MoMo's AI-first mission, we are designing and building a self-serve data platform to empower both internal teams and external partners. This platform allocates resources based on users’ needs to support:Ingesting data from diverse sources — either in batch or streaming, using both pull and push mechanisms;Developing and deploying resilient data pipelines across the data lake, data warehouse, and streaming systems;Delivering high-quality, derived datasets to downstream tools such as BI solutions (e.g., Apache Superset, Google Data Studio), via multiple delivery methods including APIs, datasets, and streaming data;Monitoring data quality throughout all data pipelines in the platform to ensure high-quality data, resulting in better decision-making, accurate reporting, and reliable machine learning outputs;Tracking and optimising resource usage for efficiency;Additionally, we are building Data Management Systems that enable the Data Governance team and data consumers to:Manage the full data lifecycle within the big data platform;Explore the MoMo data ecosystem independently;Provide a single source of truth with high data quality to downstream consumers;Track and manage infrastructure costs across major projects, teams, and departments.Yêu cầu công việcBachelor’s degree in Computer Science, Engineering, or a related field;A problem solver with a strong sense of ownership and accountability — not just a task executor;5+ years of experience working as a Data Engineer and 1+ year of experience working as leader;Curious and committed to lifelong learning, with a passion for solving business problems through engineering, improving service quality and usability, and maintaining a strong customer focus;Strong foundation in computer science fundamentals, including data structures, algorithms, database systems, and data modelling techniques;Proficient in at least one of the following languages: SQL, Python, JVM-based languages;Experience with databases such as PostgreSQL, MySQL, ClickHouse, DuckDB, etc;Skilled in analysing, designing, implementing, and optimising Data Vault or Dimensional Modeling for performance and cost;Hands-on experience with infrastructure platforms — cloud-based (e.g., GCP, AWS) or on-premise — and container orchestration using Kubernetes;Experience with data storage and processing engines like Apache Spark, Apache Flink, and StarRocks;Experience with Google Cloud Platform or Amazon Web Services is a plus.

We are seeking a Senior AI Engineer (Inference) to design, optimize, and scale high-performance AI inference systems in production;This role focuses on serving large-scale AI models (LLMs, VLMs, Computer Vision models) with high throughput, low latency, and strong reliability. You will work closely with AI researchers, backend engineers, and platform teams to deliver real-time AI capabilities powering millions of requests;You are expected to deeply understand model inference optimization, distributed systems, GPU utilization, and production-grade deployment.Mô tả công việc1. Inference System Design OptimizationDesign and implement high-performance inference pipelines for LLM/VLM/Computer Vision models;Optimize latency, throughput, and memory usage (batching, caching, KV cache, quantization);Deploy and tune inference engines such as: vLLM / Triton Inference Server / SGLang;2. Distributed Scalable ServingBuild scalable systems handling to millions of requestsImplement:Model sharding / tensor parallelism;Multi-GPU / multi-node inference;Autoscaling strategies (Kubernetes-based)Optimize GPU utilization on systems like:NVIDIA DGX A1003. Production Deployment ReliabilityBuild and maintain production APIs (OpenAI-compatible, REST/gRPC)Integrate observability tools :Metrics (Prometheus) , Logs (Grafana, VictoriaLogs)Yêu cầu công việc3+ years experience in backend / AI systems;Bachelor’s degree in Computer Science, Engineering or a related field;Strong backend skills (Python) and experience building scalable APIs with streaming and request scheduling;Hands-on experience with LLM/VLM/Computer Vision inference in production , GPU optimization;Experience with vLLM / SGLang / Triton Inference Server for building and optimizing high-throughput, low-latency LLM inference systems;Familiarity with cloud platforms (AWS, GCP, Azure);Hands-on with databases (e.g., PostgreSQL, Redis, MongoDB) for caching, logging, and real-time data serving in AI systems.

Fullstack in Computer Vision and NLPSupport building, testing, and deploying machine learning models and algorithms to enhance user experience.Build the prompting and model orchestration for a production application backed by a language modelDesign and build agent affordances that unlock new capabilities for internal use and deployed productsDesign and build a novel eval that measures how many agents interact in groups to solve problemsAssist with the development of AI-powered assistant bots that automate workflows.Mô tả công việcDevelop and test AI-driven features in collaboration with the AI engineering team,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.Have experience developing complex agentic systems using LLMsHave spent time prompting and/or building products with language modelsHave good communication skills and an interest in working with other researchers on difficult tasksExperience building LLM-based agents with frameworks like LangChain, LangGraph, monitoring tools such as LangSmithStrong understanding of agent system design, including orchestration, context/memory management, tool usage, and multi-step reasoningExperience building and operating agent lifecycle systems: job scheduling, execution pipelines, state management, and failure/retry handlingUnderstand stateless vs stateful agent architectures and their trade-offs (scalability, latency, memory persistence)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

Cài đặt, quản lý, vận hành giám sát hệ thống máy chủ tại Data center. Tìm hiểu và nghiên cứu tính năng, yếu tố kỹ thuật của các sản phẩm phần cứng, phần mềm, giải pháp của các hãng liên quan đến hệ thống (Server, Storage, Microsoft, Linux, Cloud, Monitoring, Security…) Quản trị vận hành hệ thống các ứng dụng, dịch vụ của công ty. Phối hợp với đơn vị phần mềm để quy hoạch, phát triển nâng cấp các ứng dụng, dịch vụ. Xây dựng các công cụ theo dõi và khắc phục các sự cố trên hệ thống. Tham gia các dự án, xây dựng các gói giải pháp, dịch vụ tư vấn, thiết kế – triển khai – bảo trì, bảo hành hệ thống thông tin để cung cấp cho các tổ chức, doanh nghiệp. Quản lý, vận hành, giảm sát hạ tầng ảo hóa Vmware Cloud Director và các thành phần liên quan (Storage, Network, vApp, VDC…) Mức lương thỏa thuận theo năng lực và kinh nghiệm Thu nhập hấp dẫn tương đương 16 – 17 tháng lương quy đổi, chế độ khen thưởng phong phú, cụ thể: Lương: bao gồm mức lương cứng dựa trên năng lực + lương doanh số dựa trên hoạt động kinh doanh. Thưởng lương tháng 13 Các chế độ khen thưởng hàng tháng, thưởng du lịch nước ngoài cuối năm đối với NV xuất sắc. Được học hỏi, đào tạo bởi các chuyên gia hàng đầu tại tập đoàn công nghệ số 1 Việt Nam. Khám sức khỏe định kỳ, gói bảo hiểm FPT Care để khám chữa bệnh miễn phí. Cơ hội tham gia đào tạo các chứng chỉ quốc tế của Cisco, Juniper, Microsoft, VMware, AWS, Azure, GCP, Cloudflare..... Tham gia hoạt động company trip, gắn kết nhân viên hàng năm Tham gia các các hoạt động của công ty và các chương trình trải nghiệm nhân viên. Ưu đãi giảm giá cước dịch vụ internet, truyền hình FPT.

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.