Senior Quality Assurance Engineer

About Ultralytics: At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team. 🌎 Where and how you can work This full-time Senior Full Stack Engineer position is based in our Ultralytics office in Shenzhen, China, with a hybrid model of 3 days in-office and 2 days remote. 🚀 What you'll do As a Senior Full Stack Engineer at Ultralytics, you will be a key player in designing, developing, and scaling the Ultralytics Platform — our end-to-end platform for AI model development. Key responsibilities include: * Designing and building robust, scalable backend services using Python and FastAPI. * Developing intuitive and responsive frontend applications with TypeScript and Nuxt.js. * Architecting and managing our infrastructure on Google Cloud Platform (GCP), leveraging Docker for containerization. * Implementing and maintaining microservices to support features like cloud training and model deployment for Ultralytics YOLO models. * Driving our CI/CD strategy using GitHub Actions to ensure rapid and reliable delivery. * Collaborating with our AI research team to integrate the latest computer vision advancements into the platform. * Upholding best practices in code quality, testing, and performance, and actively contributing to our open-source ecosystem. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models to the community. 🧠 Skills and experience * 5+ years of experience in full stack software engineering. * Expertise in Python and experience with web frameworks like FastAPI or Django. * Proficiency in modern frontend development using TypeScript and frameworks such as Nuxt.js, Vue.js, or React. * Strong experience with cloud platforms, particularly GCP, and containerization technologies like Docker. * Proven experience designing and working with microservices and RESTful APIs. * Hands-on experience with CI/CD pipelines, especially GitHub Actions. * Familiarity with databases such as PostgreSQL and caching systems like Redis. * A genuine passion for AI and machine learning; direct experience with MLOps or training models like YOLO26 is a major plus. * Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. 🌟 Cultural fit Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💰 Compensation and benefits * Competitive salary: Highly competitive based on experience. * Equity packages: Participate directly in Ultralytics' growth and success. * Hybrid flexibility: 3 days per week in our brand-new office — 2 days remote. * Generous time off: 24 days vacation, your birthday off, plus local holidays. * Flexible working hours: Tailor your working hours to suit your productivity. * Tech: Engage with cutting-edge AI projects. * Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3. * Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. What we offer: Cutting-Edge, Next-Generation AI Computer Vision Technology: Contribute to building cutting-edge computer vision AI models based on the YOLO framework. Impactful Work: Shape the future of AI-powered solutions that transform industries. Collaborative Culture: Join a talented and passionate team that values open communication and innovation. Ultralytics Handbook Comprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles. Link: https://handbook.ultralytics.com/ Ultralytics is an equal opportunity employer committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status.

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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 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