• Build internal AI agents, agent-oriented workflows, and AI-enabled engineering tools • Solve ambiguous technical problems and help determine practical paths forward • Design integrations across systems such as Jira, documentation platforms, repositories, APIs, and internal tooling • Improve engineering workflows, developer productivity, and SDLC automation • Build scalable backend services, APIs, and supporting platform components • Anticipate technical and operational challenges as solutions scale across engineering teams • Communicate clearly with engineering, product, and platform stakeholders to move ideas from concept into production-ready solutions • Provide technical guidance, mentoring, and knowledge sharing as the team builds new AI-enabled capabilities • Support practical patterns around observability, reliability, testing, CI/CD, and operational support for AI-enabled systems

• Build infrastructure capable of managing metadata for hundreds of billions of files, handling hundreds of petabytes of user data, and facilitating millions of concurrent connections. • Lead the expansion of Dropbox's function as the data-fabric, connecting hundreds of millions of applications, devices, and services globally, while also driving initiatives to enhance interoperability and adaptability across diverse ecosystems. • Measure and optimize Dropbox's analytics platform to maintain its status as one of the most advanced in the industry for extracting meaningful insights from vast data volumes. • Collaborate with cross-functional teams to innovate and implement solutions that enhance the performance, reliability, and security of Dropbox's infrastructure, ensuring a seamless experience for users worldwide. • Mentor and guide junior team members, sharing knowledge and best practices to cultivate a culture of continuous learning and professional growth within the infrastructure engineering team. • Stay current with emerging technologies and industry trends to continuously enhance Dropbox's infrastructure and maintain a competitive edge in the market.

Role Description We are seeking a skilled Software Developer in Test to join our software quality assurance team. The ideal candidate will design, execute, and analyze load testing strategies to ensure our applications perform reliably under expected and peak user loads. This role is critical in identifying performance bottlenecks, validating scalability, and ensuring systems meet operational requirements before production release. - Automation Tests: Design, build, and maintain robust automated tests for backend services, APIs, and AI enabled systems. - Design & Execute Load Tests: Develop and implement load test plans, scenarios, and scripts to simulate real-world user traffic. - Performance Monitoring: Use tools such as JMeter, BlazeMeter, or similar to monitor system performance, response times, and resource utilization. - Identify & Report Issues: Detect performance bottlenecks, scalability issues, and system failures; document findings and provide actionable recommendations. - Collaborate with Teams: Work closely with development, DevOps, and operations to troubleshoot and resolve performance problems. - Maintain Test Environments: Set up, configure, and maintain test environments to replicate production-like conditions. - Generate Reports: Produce detailed performance reports and dashboards for stakeholders and management. - Stay Updated: Keep abreast of performance testing best practices, emerging tools, and industry standards. Qualifications - Education: Bachelor’s degree in Computer Science, Software Engineering, or related field. - Experience: Minimum 2–3 years in performance testing, load testing, or quality assurance. - Technical Skills: - Proficiency in load testing tools (JMeter, BlazeMeter, etc.) - Knowledge of scripting languages (e.g., C#, Type Script, Java, Python) for automation. - Familiarity with Playwright, Postman, or similar automation testing frameworks. - Understanding of software development life cycle and CI/CD pipelines. - Familiarity with databases, APIs, and distributed systems. - Skilled in AI Agents, cross-device features, and user scenarios. - Soft Skills: Strong analytical and problem-solving abilities, attention to detail, and effective communication skills. - Extras: Experience with cloud-based load testing, containerization, and microservices architecture. Benefits - Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts. - Life and AD&D Insurance. - 401(k). - Tuition Reimbursement. - An array of resources that encourage a lifetime of healthier living. Benefits eligibility may differ depending on full-time or part-time status. Compensation depends on the applicable US geographic market. The expected base pay for this position ranges from $40.00 - $50.00 hourly, and will be based on a number of additional factors including skills, experience, and education.

• Integrate the interpreter for a domain specific language (DSL) with a GUI written in TypeScript • Implement code-mods and other code refactoring tools • Add features and maintain an interpreter written in Rust, running in WebAssembly • Maintain a language parser and syntax highlighting • Develop and optimize the frontend of our modeling app, focusing on performance and user experience • Collaborate with backend teams to design and implement robust APIs that support the app's code-driven design functionality • Enhance the app's UI/UX by leveraging TypeScript, React, and XState, ensuring that the interface is both powerful and easy to use • Develop delightful CodeMirror extensions that bridge the gap between the user's code and the 3d-model • Implement advanced AST/code-mods, CodeMirror enhancements, and deep integration with WebAssembly (Wasm) for performance improvements • Utilize XState for state management to maintain app consistency and reliability across various user interactions • Apply a deep understanding of JavaScript and browser internals to improve app functionality and performance