We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

This role can be based in-office in Shenzhen

As an ideal candidate, you will have:

• Ideally 8 - 11 years of related experience in a customer facing role, minimum 3 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership.
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB.
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders. 
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database.
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts.
• Relational Migrator: Learn to migrate from relational databases seamlessly.

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms. 
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes.

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security.
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding.
• Client Interaction: Develop strategies for discovery and objection handling.

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 425526

核心职责

• 交易架构设计： 主导去中心化交易平台（DEX）后端架构的演进，构建稳定、可扩展的分布式系统。

• 核心引擎开发： 负责撮合逻辑、订单簿维护、实时行情分发及风控清算等关键交易模块的研发。

• 接入与数据服务： 开发高性能交易网关（支持 REST 与 WebSocket）及低延迟的 K 线数据服务。

• 极致性能优化： 针对高频交易场景进行系统调优，确保在极端高并发下的毫秒级响应与稳定性。

• 基座能力建设： 完善数据持久化方案、全链路监控、多维度备份及容灾恢复等基础工程建设。

任职要求

• 深厚技术背景： 拥有 8 年以上 Java 开发经验，精通底层并发编程、内存模型及 JVM 深度调优。

• 行业实战经验： 具备 3 年以上交易所核心系统开发背景，对清结算、资产流转及撮合流程有深刻理解。

• 高性能架构： 熟练运用 LMAX Disruptor、Chronicle 等低延迟框架，具备独立主导复杂子系统的经验。

• 数据存储专家： 精通关系型与非关系型数据库设计（如 MySQL, Redis, MongoDB），擅长分库分表及高可用方案。

• 云原生基础设施： 熟练掌握容器化部署（K8s）与主流公有云架构（AWS/Aliyun），具备实时流处理（Kafka）实战能力。

We are seeking a seasoned Backend Engineer with deep expertise in decentralized finance (DeFi) to lead the architectural design and development of our client's high-performance DEX platform. You will be responsible for building the core components of a world-class trading environment, focusing on ultra-low latency, high concurrency, and uncompromising security.

Key Responsibilities

• Architectural Leadership: Design and develop the core server-side architecture for a Decentralized Exchange (DEX).

• Core Module Engineering: Lead the implementation of critical modules, including matching engines, order books, market data broadcasting, risk management, and clearing/settlement systems.

• Infrastructure & Connectivity: Develop and maintain high-performance trading gateways (REST/WebSocket), market data feeds, and K-line services.

• Performance Optimization: Ensure the stability and performance of high-concurrency, low-latency trading systems through rigorous JVM tuning and system-level optimizations.

• Resilience & Security: Build foundational capabilities for data persistence, comprehensive logging, automated backups, and robust disaster recovery protocols.

• Cross-Functional Collaboration: Partner closely with Smart Contract and Frontend teams to ensure seamless end-to-end integration across the entire trading lifecycle.

Required Qualifications & Skills

• Educational Background: Bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical field.

• Java Expertise: 8+ years of professional Java development experience, with mastery of multi-threading, concurrency models, and JVM performance tuning.

• DEX Domain Knowledge: 3+ years of direct experience in DEX/Exchange server-side development, with a deep understanding of matching, clearing, and risk control workflows.

• High-Performance Frameworks: Proven experience with LMAX Disruptor, Chronicle, or similar high-performance frameworks; familiarity with Exchange-core architectures is essential.

• Data Management: Expertise in MySQL, Redis, and MongoDB, including advanced database design, index optimization, and distributed transaction management.

• System Reliability: Deep understanding of multi-active database deployments and disaster recovery; ability to lead team-wide emergency drills.

• Messaging & Streaming: Proficiency in Kafka (consumer groups, partitioning, persistence) and real-time data processing.

• Cloud & DevOps: Hands-on experience with Docker and Kubernetes (Deployment, Service, Ingress, Monitoring); proficiency with AWS or Alibaba Cloud ecosystems (EC2/ECS, RDS, OSS).

Preferred Attributes (Bonus)

• Experience with EVM-based on-chain settlement, Oracles, and off-chain data integration.

• Familiarity with modern observability stacks, including Prometheus, Grafana, and ELK.

• Polyglot capabilities: Ability to develop stable auxiliary services in Golang or Node.js for on-chain data retrieval and analysis.