8+ years of professional software development experience, BS, MS, or PhD in Computer Science or related technical field, Proficient in programming languages such as Python, Go, C/C++, or Java, Experience in designing and building internal tools or developer platforms..
Key responsibilities:
Lead the design and implementation of tools that enhance engineering velocity and code quality.
Leverage AI to automate key stages of the development lifecycle.
Provide technical support for the adoption of AI tooling within engineering workflows.
Research and pilot new AI tools to improve software engineering processes.
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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.
Join us in redefining the future, where your passion for building scalable, reliable systems will drive meaningful change on a global scale.
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
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
Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.
Requirements
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
Preferred Qualifications
Proficiency in AI/ML concepts
Familiarity with modern AI-powered developer tools, frameworks, and APIs.
Experience driving initiatives in the developer productivity space
Compensation
Canada Pay Range
$184,500—$249,500 CAD
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.