As a Software Engineer on Dropbox’s Information Technology Systems team, you will play a key role in designing, building, and scaling foundational backend systems that support critical engineering initiatives.
You’ll apply strong engineering fundamentals and modern software development lifecycle (SDLC) practices to drive execution, reduce technical debt, and accelerate project delivery. This role offers the opportunity to deepen your systems expertise while collaborating with seasoned engineers across Dropbox to solve complex, high-impact challenges.
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- Design, build, and maintain engineering solutions that drive innovation across Infrastructure and broader Dropbox teams
- Apply SDLC principles to deliver secure, scalable, and reliable systems from design through deployment
- Participate in code reviews and proactively address technical debt to improve long-term maintainability and velocity
- Collaborate with engineers, architects, TPMs, and cross-functional partners to define requirements and deliver on strategic initiatives
- Partner with senior and staff engineers to implement modern standards and best practices across critical systems
On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.
Requirements- 5+ years of professional software engineering experience with a proven track record of delivering high-quality, production-ready systems
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong expertise in backend development, with a focus on building scalable, reliable, and maintainable architectures
- Demonstrated success in developing and shipping large-scale applications or distributed systems, preferably in cloud-native environments
- Familiarity with modern infrastructure practices, including containers, orchestration, and observability
- Proficiency in one or more modern programming languages, such as JavaScript/TypeScript, Java, Python, or Go
- Practical experience deploying and operating services in production on cloud platforms like AWS, GCP, or Azure
