• Design, implement, and maintain backend services and APIs that power AuthZed Cloud’s control plane. • Build and operate Kubernetes-native systems, including custom operators and controllers, to manage customer environments and infrastructure lifecycle. • Design durable, idempotent workflows for provisioning, configuration changes, scaling, and deletion. • Implement and integrate authentication and identity flows (e.g., SSO, SAML, OAuth/OIDC) in a secure, multi-tenant SaaS environment. • Implement and evolve usage-based billing systems. • Engineer distributed systems that behave correctly under partial failure, retries, concurrency, and long-running operations. • Collaborate closely with frontend engineers to design APIs and workflows that result in clear, reliable user experiences. • Ensure services are observable and operable through structured logging, metrics, and alerts. • Troubleshoot and resolve complex production issues involving orchestration, authentication, or state management. • Participate in on-call rotations and contribute to incident resolution and post-incident improvements. • Document APIs, workflows, system behavior, and operational guidelines.

• 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.