Senior Infrastructure Software Engineer, Dropbox

• 8+ years of professional software development experience
• BS, MS, or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Proficient in programming and debugging across a range of languages such as Python, Go, C/C++, or Java
• Experience designing and building internal tools, developer platforms, or productivity systems that scale across large engineering organizations
• Comfortable operating in ambiguity and fast-changing environments; proactively brings clarity, structure, and direction when faced with uncertainty
• Excellent communication and collaboration skills, with a proven ability to gather feedback, influence cross-functional stakeholders, and work directly with engineers to iterate on solutions
• Proven track record of defining & delivering well-scoped milestones/projects
• Ability to independently define right solutions for ambiguous, open-ended problems

Desirable

• The Dropbox Engineering Team builds the technology that creates more enlightened ways of working for hundreds of millions of people
• Every day, our platforms—including Dropbox Dash, Dropbox Sign, and our core sync engine—handle over a billion files for users worldwide, creating engineering challenges as great as the opportunity for impact
• Our software engineering team uses a range of technologies to solve interesting problems, including Python, React, Node.js, JavaScript, MongoDB, PostgreSQL, and Android development
• We think like a startup but build for an enterprise, exploring new possibilities that transform how people work
• If you're excited about turning complex technical challenges into intuitive solutions at scale, join our Engineering team
• Areas of work include Machine Learning Engineers, Infrastructure Engineer, Product SWE Frontend and Backend, Mobile Software Engineers (iOS and Android), Engineering Manager, Data Engineer, Software Development Engineer in Test, Security Engineering, Site Reliability Engineer, Technical Program Managers, Network Engineer, Datacenter Engineer, Technical Supply Chain Manager and more
• The Developer Infrastructure team at Dropbox builds and maintains the foundational systems that enable our engineers to deliver innovative features and services to millions of users worldwide
• You will be at the heart of architecting and advancing the critical tools and infrastructure that accelerate engineering excellence across the company
• We’re looking for a Software Engineer focused on Developer Productivity to lead efforts at the intersection of AI and engineering infrastructure
• In this role, you’ll design and build AI-powered tools that improve how engineers write, test, and ship code
• You’ll focus on reducing friction, eliminating repetitive work, and improving code quality, ultimately enabling teams to move faster and deliver more reliably
• You’ll work closely with engineers across the company to identify pain points, validate solutions, and drive adoption
• Your work will directly impact our ability to respond to customer needs, scale systems effectively, and innovate quickly
• This is a high-impact role with strong visibility, ideal for someone who enjoys building foundational systems, experimenting with new technologies, and helping engineers do their best work
• Lead the design and implementation of tools, systems, and processes that accelerate engineering velocity, reduce manual toil, and improve code quality at scale
• Leverage AI to automate and enhance key stages of the development lifecycle, including code reviews, testing, documentation, and debugging
• Evaluate and integrate AI-powered software development tools into our existing development environment to enhance productivity and code quality
• Provide technical support and guidance to ensure smooth adoption and effective use of AI tooling within engineering workflows
• Research, recommend, and pilot new AI tools and frameworks that could benefit our software engineering processes
• Define and track success metrics for AI tools, using data-driven insights to drive continuous improvement and prioritize future investments
• Define and promote best practices for the safe, responsible, and observable use of AI in software development, working closely with security and compliance teams
• Partner directly with engineers to validate ideas, gather feedback, and iterate on AI tools that solve real development problems
• Stay current with advancements in AI and developer tooling, translating emerging capabilities into practical opportunities for our teams