• Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability • Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration • Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers • RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) • Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness • Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently • Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem • Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience

• Own and evolve major parts of Moxie’s frontend and backend architecture, balancing short-term delivery with long-term scalability, reliability, and developer velocity. • Lead technical design and architectural reviews for complex, cross-cutting initiatives. • Identify systemic risks and technical bottlenecks, and proactively drive solutions that improve platform stability and performance. • Help define and maintain engineering standards, patterns, and best practices across teams. • Act as a hands-on technical leader, working on the highest-impact and highest-complexity problems across the stack. • Drive architecture and implementation primarily in your area of deep expertise (frontend or backend), while contributing meaningfully across the full stack as needed. • Design and implement performant, scalable frontend experiences using React, TypeScript, GraphQL, and Next.js. • Build and evolve backend systems in Python and Django, integrating with internal services and third-party vendors. • Ensure systems are observable, reliable, and operable in production. • Partner with product, design, and engineering leadership to translate business goals into clear technical strategies and execution plans. • Drive alignment across teams on shared abstractions, APIs, and platform-level initiatives. • Serve as a trusted technical advisor, helping teams make sound tradeoffs under real-world constraints. • Mentor and coach engineers at multiple levels, helping them grow in system design, technical judgment, and ownership. • Raise the technical bar through thoughtful code reviews, design feedback, and knowledge sharing. • Contribute to a culture of high-quality execution, continuous improvement, and accountability.

• Manage projects end-to-end: Lead initiatives from data discovery through design, implementation, and deployment. • Develop customer-centric prototypes: Create prototypes for new product explorations, focusing on user needs and feedback. • Proactively communicate: Share insights, progress, and outcomes with your team and leadership regularly. • Collaborate across teams: Foster strong relationships with other engineering teams and collaborate effectively with cross-functional partners within Dropbox.

• Design, build, and maintain internal platform services and tools using Python and Node.js • Develop APIs, automation services, CLIs, background workers, and platform control components • Build tooling that abstracts infrastructure complexity away from product teams • Write clean, testable, production-grade code powering core platform systems • Operate and evolve AWS and Kubernetes environments running critical workloads • Build and maintain GitOps workflows and deployment strategies (canary, blue/green, progressive delivery) • Define and manage infrastructure using Terraform • Contribute to deployment, provisioning, observability, reliability, and security automation systems • Own systems end-to-end, including design, implementation, deployment, and operation • Participate in production troubleshooting and incident analysis • Continuously improve platform reliability, performance, and developer experience • Help define platform standards, best practices, and engineering patterns