• Curate an engineering culture that is biased toward shipping while maintaining very high standards of stability, performance, security, and scalability. • Monitor, alert, investigate, and resolve production infrastructure challenges across public cloud environments (including GCP and AWS). • Actively identify opportunities and implement automated, scalable solutions to optimize code and operational tasks, reducing toil across the platform. • Serve as a technical point of contact during critical issues, facilitate cross-functional communication, track alert trends, and perform root cause analysis (RCA) to drive structural improvements. • Execute production change and security requests, safely managing code deployments and patching pipelines. • Partner closely with Product Management and Engineering Management to align technical solutions and execution strategies with business goals and roadmap priorities. • Further an ecosystem of learning and professional development by coaching, mentoring, and leveling up exceptional engineers across the organization.

• Define and evolve Dropbox’s company-wide technical reliability strategy to support the changing engineering environment created by AI-assisted and agentic software development. • Set multi-year reliability goals, standards, and roadmaps across observability, debugging, incident management, service health, and operational readiness. • Lead cross-team initiatives that reduce reliability risk as software delivery velocity, pull request volume, service complexity, and incident volume increase. • Partner with engineering leaders and platform teams to improve monitoring, alerting, debugging, SLOs, SLAs, and incident response systems at company scale. • Identify emerging reliability risks introduced by AI-enabled development workflows and design scalable systems, processes, and guardrails to mitigate them. • Provide technical leadership and mentorship to engineers across teams, raising engineering quality, reliability judgment, and operational excellence. • Drive clear communication and alignment with senior stakeholders on reliability priorities, tradeoffs, risks, and execution progress.

• Define and evolve Dropbox’s company-wide technical reliability strategy to support the changing engineering environment created by AI-assisted and agentic software development. • Set multi-year reliability goals, standards, and roadmaps across observability, debugging, incident management, service health, and operational readiness. • Lead cross-team initiatives that reduce reliability risk as software delivery velocity, pull request volume, service complexity, and incident volume increase. • Partner with engineering leaders and platform teams to improve monitoring, alerting, debugging, SLOs, SLAs, and incident response systems at company scale. • Identify emerging reliability risks introduced by AI-enabled development workflows and design scalable systems, processes, and guardrails to mitigate them. • Provide technical leadership and mentorship to engineers across teams, raising engineering quality, reliability judgment, and operational excellence. • Drive clear communication and alignment with senior stakeholders on reliability priorities, tradeoffs, risks, and execution progress.

• Own the reliability, performance, and operability of complex, business‑critical production services and workflows. • Own complex and escalated production issues from support, and drive long‑term fixes in collaboration with engineering, including code, configuration, and architecture changes. • Proactively identify and address systemic risks that are identified during the problem‑solving process, and convert them into long‑term engineering improvements. • Lead production efficiency initiatives, and define, develop, and maintain processes, run‑books, and knowledge base integrity across multiple services or domains. • Define, build, and maintain production monitoring systems for critical services, ensuring deep visibility into system health and user experience. • Continuously improve alerting to minimize noise and ensure actionable, well‑documented runbooks with clearly owned responses. • Define and maintain SLIs/SLOs for key services, and use error budgets to guide operational and product decisions, influencing priorities where necessary. • Turn manual processes into robust automation, and champion automation patterns and tooling adoption across teams. • Own and drive the post‑mortem review process and actions arising from incident analysis, ensuring high‑quality follow‑up and measurable reliability improvements. • Collaborate with the support organization as a senior escalation point and systematically feed back knowledge, tooling enhancements, and improvement recommendations. • Collaborate with developers throughout the lifecycle of changes, from design through rollout and patch delivery, ensuring safe deployments and efficient incident mitigation. • Lead or significantly contribute to design reviews to ensure services are operable with minimal manual intervention in production (automation, safe deployments, clear run‑books, resilience patterns), and share learnings through documentation and feedback. • Mentor and coach other engineers in production engineering practices (observability, incident handling, automation, design for failure), helping to raise the operational bar across the organization.