Dropbox
1001 - 5000 employees
Founded 2007
🏢 Enterprise
⚡ Productivity
Cloud Storage • Enterprise • Productivity
Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.
Staff Site Reliability Engineer – Production Engineering
🕒 June 2
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Dropbox
1001 - 5000 employees
Founded 2007
🏢 Enterprise
⚡ Productivity
Cloud Storage • Enterprise • Productivity
Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.
📋 Description
• 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.
🎯 Requirements
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience. • 12+ years of experience in software engineering, site reliability engineering, infrastructure engineering, or related technical roles. • Proven ability to define and deliver multi-year, multi-team reliability, infrastructure, or platform strategies with measurable business and customer impact. • Deep experience with distributed systems, production operations, observability, incident response, SLOs/SLAs, debugging, and reliability risk management. • Demonstrated ability to diagnose complex technical problems, debug production systems, automate operational workflows, and design resilient software components. • Experience influencing engineering roadmaps across multiple teams and making technical decisions that optimize for the broader engineering organization. • Strong communication and collaboration skills, with the ability to align cross-functional stakeholders through ambiguity and drive execution across teams.
🏖️ Benefits
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities
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