As an Infrastructure Engineer on the Telemetry team, you'll build scalable systems to support Dropbox's data management and observability, enhance performance, and collaborate with teams to improve infrastructure reliability.
Role Description
As an Infrastructure Engineer on Telemetry team, your role will be crucial in shaping and constructing the robust systems that not only support our current flagship products but also lay the groundwork for the next wave of engineering innovations. The Telemetry team owns and operates the Observability platform at Dropbox - an efficient, user-friendly platform that empowers Dropboxers with the insights to operate reliable and performant systems.
In this role you will be responsible for scaling our metrics platform to support improved detection and observability workflows, build clients for product engineers to unlock the feature set of the platform and redesign ingestion pipelines and interfaces as we align more closely with industry standards leveraging OpenTelemetry.
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
- Build infrastructure capable of managing metadata for hundreds of billions of files, handling hundreds of petabytes of user data, and facilitating millions of concurrent connections.
- Assist in expanding Dropbox's role as the data-fabric, linking hundreds of millions of applications, devices, and services worldwide, while spearheading efforts to improve interoperability and adaptability across various ecosystems.
- Measure and optimize Dropbox's analytics platform to maintain its status as one of the most advanced in the industry for extracting meaningful insights from vast data volumes.
- Collaborate with cross-functional teams to innovate and implement solutions that enhance the performance, reliability, and security of Dropbox's infrastructure, ensuring a seamless experience for users worldwide.
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
- BS, MS, or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
- 2+ years of professional software development experience
- Demonstrated experience in building and managing large-scale, multi-threaded, and geographically distributed backend systems
- Proficient in programming and debugging across a range of languages such as Python, Go, C/C++, or Java
- Experience working with operating system internals, filesystems, databases, networks, and compilers
- Ability to independently execute tasks at hand
Preferred Qualifications
- Experience with Semaphores and Mutexes
Top Skills
C/C++
Go
Java
Opentelemetry
Python
Dropbox Austin, Texas, USA Office
Austin, TX, United States
Dropbox United States Office
Similar Jobs at Dropbox
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Design and build scalable full‑stack software, collaborate with cross‑functional teams, mentor engineers, create roadmaps balancing technical quality and business impact, and participate in on‑call rotations to maintain system reliability.
Top Skills:
AngularHTML/CSSJavaScriptNode.jsPythonReact
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
As a Data Engineer, you will design and build scalable analytics pipelines, manage data integrations, and optimize data architecture for large-scale projects.
Top Skills:
AirflowC++DatabricksJavaPythonScalaSparkSparksqlSQL
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
The Staff Data Engineer will lead data model design, standardize data engineering practices, modernize orchestration, and establish governance strategies within Dropbox's Analytics team.
Top Skills:
AirflowDatabricksDbtPythonSpark SqlSQL
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

