Dropbox
Technology
StaffSiteReliabilityEngineer,ProductionEngineering
Neural analysis suggests this role is
optimal for Staff candidates.
“Staff Site Reliability Engineer, Production Engineering at Dropbox. Skills: Reliability strategy, Production engineering, Observability, Incident response. Define technical reliability strategy. Evolve technical reliability strategy”
Industry & Context.
Diagnose technical problems; Debug production systems; Troubleshooting
On-call rotation
What They're Looking For.
Must Have
BS degree in Computer Science or related, 12+ years of experience in software engineering, Deep experience with distributed systems, Deep experience with production operations, Deep experience with observability, Deep experience with incident response, Deep experience with SLOs/SLAs, Deep experience with debugging, Deep experience with reliability risk management, Diagnose complex technical problems, Debug production systems, Automate operational workflows, Design resilient software components, Experience influencing engineering roadmaps, Make technical decisions
Nice to Have
Experience adapting reliability strategies for AI, Experience adapting developer tooling for AI, Experience adapting operational processes for AI, Experience building observability platforms, Experience scaling observability platforms, Experience building debugging platforms, Experience scaling debugging platforms, Experience building incident management platforms, Experience scaling incident management platforms, Experience building developer productivity platforms, Experience scaling developer productivity platforms, Experience leading reliability improvements, Track record of mentoring senior engineers, Track record of setting technical standards, Track record of spreading reliability best practices, Familiarity with AI-enabled tooling, Familiarity with agentic development workflows, Familiarity with operational risks from automation
What You'll Do.
Define technical reliability strategy
Evolve technical reliability strategy
Set reliability goals
Set reliability standards
Set reliability roadmaps
Lead cross-team initiatives
Reduce reliability risk
Partner to improve monitoring
Partner to improve alerting
Partner to improve debugging
Partner to improve SLOs
Partner to improve SLAs
Partner to improve incident response systems
Identify reliability risks
Design scalable systems
Design scalable processes
Design scalable guardrails
Provide technical leadership
Raise engineering quality
Raise reliability judgment
Raise operational excellence
Manage reliability priorities
Manage reliability tradeoffs
Manage reliability risks
Manage execution progress
How You'll Work.
Team & Collaboration
Partner across Engineering; Partner across Product; Partner across leadership; Partner with engineering leaders; Partner with platform teams
Communication Scope
Communication; Alignment; Stakeholder management
Process & Methodology
Roadmaps
Full Job Description
Role Description As a Site Reliability Engineer focused on company-wide reliability strategy, you will play a crucial role in advancing Dropbox’s stability, observability, incident response, and operational excellence as AI technologies reshape how software is built and operated. You will help define the reliability strategy for a new chapter of agentic development and AI-enabled software delivery, including preparing Dropbox for increases in pull request volume, service complexity, incident patterns, and demand for debugging and monitoring tools. You will partner across Engineering, Product, and leadership teams to raise the bar for reliability, guide long-term platform investments, and ensure Dropbox continues to deliver dependable experiences for millions of users. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here. Responsibilities 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
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