As a recent graduate entering our infrastructure team, you'll play a key role in developing the core systems that support large-scale data platforms. Your work will directly influence how engineering teams build, deploy, and scale software, enabling faster development cycles and more robust systems.
What You'll Do
- Design and maintain foundational services used across multiple platforms, ensuring high performance and reliability
- Collaborate with engineers and product teams to identify infrastructure needs and deliver effective solutions
- Enhance tools and workflows that improve developer productivity and code quality
- Work on systems that handle complex data processing, storage, and real-time querying at scale
- Engage in all phases of development—from concept and design through implementation and deployment
- Specialize in one of several focus areas: Backend, Developer, Frontend, or Storage Infrastructure
What We Look For
You care deeply about code quality, system performance, and empowering other engineers. You write clear, maintainable code and adapt quickly to new languages and environments. A background in computer science or a related field is expected, along with a strong interest in building systems that scale.
Preferred experience includes teaching in a technical role, transitioning into computer science from another discipline, participating in coding competitions, or working with distributed systems and developer tooling.
Technology Environment
You’ll work with technologies including Java, Go, TypeScript, Cassandra, Spark, Elasticsearch, React, Redux, Gradle, CircleCI, and GitHub. The stack supports a wide range of infrastructure challenges, from low-level system design to high-level developer tools.
Culture and Growth
Our culture emphasizes learning, collaboration, and technical excellence. You’ll work alongside experienced engineers, receive mentorship, and contribute to systems that support mission-driven organizations worldwide. We value continuous improvement, adaptability, and solving complex problems that have real-world impact.
